Crime Models

These models and simulations have been tagged “Crime”.

Related tagsBourkeYouth

This model
displays the effects of youth crime and the influence of community expenditure,
social support, and policing in the town of Bourke, NSW.

 The traditional
lifestyle for youth in this town involves either a chosen path of committing
crimes, or, that of community activity and various forms
This model displays the effects of youth crime and the influence of community expenditure, social support, and policing in the town of Bourke, NSW.

The traditional lifestyle for youth in this town involves either a chosen path of committing crimes, or, that of community activity and various forms of education.

The model has been designed to mimic a system where community expenditure and support services are adopted in order to inject a positive lifestyle for the youth population. The phenomena studied in this simulation is the balance between policing, community support and social influence versus not using them.

Assumptions
-1000 Youth Population

-Youth are either influenced by criminal activity or by productive educational activities.

- Adoption rate of community activities is influenced by personality, relating to current personal skill level of youth and willingness.

-If youth you do not become involved in community activity or some form of Education, then they turn to the path of crime.

-Punishment facility time is up to 12 months with a 2 year probation period

-Community expenditure and support only begins in the probation period, unless “Juvenile Support” slider is used.

-For the purpose of this study on youth crime and support before a crime is committed, we do not include a possibility of relapse in the rehabilitation phase.

STOCKS

  • Youth
  • Crime – all offences committed by those under 18
  • Punishment Facility – juvenile detention
  • Probation – release from punishment
  • Education system – various programs

VARIABLES

Policing Units – Policing Bourke's criminal activity, and convicting after a crime has been committed.

Juvenile Support Units – The variable change in crime IF the community funds Support Units for youth before a crime is committed.

Social Support Units – The number of social support units available for released offenders during rehabilitation phase.

Community expenditure – the amount of time and money being spent on social services and policing.

Birth rate, crime rate, dicharge rate, recidivism & conviction rate


INTERESTING RESULTS

Slide any of the 3 variables to the extreme.

This model shows that adoption rate of a positive lifestyle is directly influenced by social influences.

1/ Juvenile Support Unit impact

Press Simulate.

Slide Juvenile Support Units to the extreme. Simulate again.

Juxtaposition of Juvenile Support impact on Behavior Graph shows that Crime and Reoffend rates drop significantly.  More people turn to law-abiding positive activity.

This will again all change with the manipulation of the Social Support unit slider…..

2/ Social Support Unit impact

Social Support Units only influence those released from the Punishment facility. The more social services on hand to support rehabilitation phase the less chance of committing crime for the second time, with Reoffend rates dropping significantly when the Social Support Units Slider is adjusted to the extreme.

Rehabilitation rates only increase marginally, in spite of more social support feeding into that phase.

The greatest impact is shown on Law-Abiding and Crime. How could this be? A logical conclusion is that there is a finite number of youth in the community and those who have received positive social support during a learning phase of rehabilitation, then go on to influence their friends, their family, and have a positive influence on those around them.

3/ Police Unit Impact

Slide Policing Units to the extremes. Simulate. Policing Units Graph shows there is a significant decrease in Reoffend rates, and a higher rate of Conviction.

Curiously, rehabilitation rates drop and crime rates go up. How could this happen? A logical conclusion is that conviction and punishment is not a crime deterrent. It needs the added influence of social support services for there to be a positive impact on decreasing criminal instincts and activity on the whole.

Conclusions

Social support and home visits need to happen in the flow between Youth Population and Crime - “Juvenile Support Units”.

Investment in youth via these juvenile social support officers before they commit an offence, limits the amount of criminal activity over time. So, crime effectively decreases with the direct influence of social services at a young age.

Equally, with more police presence in the community, for those tempted to re-offend, they have a deterrent.

The most efficient management of the community issues faced in Bourke however lies with a combination of both Policing and Social Support services at all levels within the community.

<!--EndFragment-->
 Description:  This model focuses on the youth population of the community of Bourke in Australia. It shows the crime development of the youth population depending on the relationships of the expenditure provided by the police and community, crime rate and release rate of Bourke, and the rate of ato
Description:
This model focuses on the youth population of the community of Bourke in Australia. It shows the crime development of the youth population depending on the relationships of the expenditure provided by the police and community, crime rate and release rate of Bourke, and the rate of atonement failure.

Initial Assumptions:

Youth in community: 1000
Mischievous youths: 200
Youth involved in crime: 140
Youth in jail: 80

How the Model Works:

1. Youth in Community
The model starts from being a youth in the community with no real motive which is affected by the community development expenditure. There are two paths that the youth can take, becoming bored of the community and staying as a normal youth with no motive in the community. There is a 70% chance of the youth becoming bored of the community and becoming mischievous as the community did not satisfy the youths' boredom.

2. Mischievous Youth
After transitioning to a normal youth to a mischievous youth, there are two paths that the mischievous youth can take. The non criminal activity path which is when the mischievous youth is not bored from the community anymore and proceeds back into the community, this path is affected by the community development expenditure. The second path is becoming involved with criminal activity and thus becoming a criminal, which is affected by the 40% crime rate of Bourke.

3. Criminal
After becoming a criminal youth, there are two paths that the youth can go down. The first path involves not being caught by the police yet and are still wondering around in the community at a 20% chance. This path is affected by the atonement failure variable as the criminal youth, despite going back into the community, is still willing to be involved in crime. The second path is getting caught by the police and is jailed at an 80% chance. This path is affected by the police expenditure used to catch the criminal youth.

4. Jailed
After being jailed by the police, the criminal youth can be released back into the community after their sentence has been completed, they can either still be involved in crime or a mischievous youth. The first path is failing to atone for their crimes even after spending a period of time in jail, with a 20% chance of happening. This path is affected by the atonement failure variable. The second path is being released back in the community at a 90% chance as a mischievous youth as they have learned their lesson in jail and will cease any criminal activities for the time being. After a period of time the released mischievous youth can take two paths, being involved with criminal activity again at a 40% chance or atoning for their crimes and becoming a non criminal youth with no ill-intentions at a 70% chance.

Simulation:

Relationship of Number of Criminal Youths and the Number Non-Criminal Youths:
This time series compares the number of criminal youths, mischievous youths, and non criminal youths for each following half year for 10 years in Bourke.

Number of Jailed Criminal Youths and Criminal Youths who have yet to be caught:
This time series compares the number of jailed criminal youths and criminal youths who have yet to be caught for each following half year for 10 years in Bourke.

Youths who have Failed to Atone and who have Atoned:
This time series compares the number of youths who have failed to atone after being released from jail and the number of youths who have been released from jail and have atoned Youths for each following half year for 10 years in Bourke.
  About the model  

 This model
depicts crime patterns among the youth population of Bourke, within varying
levels of policing expenditure, risk factor, rehabilitation expenditure and soccer
club expenditure.  

   

  Underlying Assumptions:  

    Only the youth
population of Bourke has the tende

About the model

This model depicts crime patterns among the youth population of Bourke, within varying levels of policing expenditure, risk factor, rehabilitation expenditure and soccer club expenditure.

 

Underlying Assumptions:

  1. Only the youth population of Bourke has the tendency to commit crime
  2. No further external factors other than those presented have an effect on criminal tendencies
  3. ‘Risk Factor’ refers to any factors that increase the likelihood of youths to commit crime. This may include exposure to domestic abuse, income level, education level, family background
  4. No ‘jail effect’ -  jailed youths do not return to town being more corrupt than before through learning off their cellmates
  5. Only 2 outcomes of participating in the soccer club: being engaged by the social activity and deterred from committing crime, or disengaged and become at risk of committing crime

 

Constants:

  • Criminals have a 60% chance of getting convicted
  • A jail sentence for convicted criminals is 6 months
  • The top 20% of the most serious offenders get sent to the rehabilitation centre for 3 months, after which they return to town in a better state and less likely to repeat crime
  • 1 session of the soccer club participation is 3 months
  • Soccer club participants have a 10% chance of being disengaged
  • Investments into policing, rehabilitation services and the soccer club are felt immediately – no time delay

 

Interesting results:

  1. A high number of criminals does not necessarily mean they all end up in jail. A stimulation with risk factor at maximum (0.2) and policing at minimum (0.01) shows high numbers of criminals, but they all seem to be in town. When the slider for policing is adjusted to maximum (0.5), the criminals are moved from town to jail. Thus, a high investment in policing is needed to detect and detain criminals.
  2. A generous investment into the soccer club (>0.35) results in a higher number of actively engaged and enlightened youths who then return back to town in a better state. This has an effect of bringing down the number of criminals (implications for long term)
  3. In an ideal world, Bourke would invest maximum levels into policing, rehabilitation and the soccer club, and there would be a minimal risk factor for crime committing tendencies. A stimulation on these settings reflect few criminals, low jail rates and high engagement in the soccer club. However with the towns budget constraints, this is not a feasible solution for the long term.
  4. Instead, a long term solution for Bourke (assuming a moderate risk factor of 0.1) is to allocate some of the policing expenditure (Eg. Down to 0.37) towards maximising community development services:

- The rehabilitation centre will tame the most serious offenders, making them less likely to commit crime the next time round (Eg. Setting at 1.0)

- The soccer club will distract youths from crime temptations, as well as nurture a sense of societal inclusion and wellbeing in the long term (Eg. Setting at 0.4)

A stimulation on these parameters show that criminal rates are moderated, the ratio of youths in jail to town is lowered, and the outcome for the soccer club is very good with majority of participants feeling engaged. 

 Crime Rate in Bourke  Bourke is a town in North West of NSW and there are having 3000 people in there, the people in there are usually having violent. In this graph, it will show how many people will commit a crime and be detention by police. But not all of the people will commit a crime, some of t
Crime Rate in Bourke
Bourke is a town in North West of NSW and there are having 3000 people in there, the people in there are usually having violent. In this graph, it will show how many people will commit a crime and be detention by police. But not all of the people will commit a crime, some of them will become a member and join the sports group. According to the crime rate from ABS of NSW in 2015-2016, the crime rate is 30%. However, during the poor environment and lack of education, the youth crime rate will be increased in Bourke and the crime rate was setting in 50% in this model.

More Details about the Graph

In this graph, there are six variables in it, however, crime rate, conviction rate and release rate is already fixed in a percentage number, because those number is already confirmed from ABS. Thus, user can adjust the range of variables such as police, membership rate and youth reestablished new life.

According to the statistics recorded of ABS in 2016, the people in Bourke is around 3000. Hence, the people in this model was setting in 3000. During there are high crime in Bourke, the conviction rate was setting at 60% in this model. Assume the number of police was maximum in 50 in Bourke. The release rate in Bourke is estimated 50% in this model and the delay is 7 months for processing before released the prisoners.

However, not all of the youth in Bourke are committing the crime, those youth can join the sports group in the community and the membership rate can be changed the range from 0.1-1. If people in Bourke take part in the sports group, it will be a good thing for them. Government is also funding to the communities in Bourke.

The users can change the range of the police from 1-50, the more police in there, the less crime happen. The higher membership rate means the more people join in the sports group. User can change the range of youth reestablished from 1-50. The number of youth reestablish new life means that they may join the sports team or commit the crime again after they released from detention.The less police the graph will show there are less people in detention because there are not enough police handling the crime.
 
  A Model of the Rate of Adult and Youth Crime and Community Spending in Bourke:   This is a model which displays whether community spending and the number of police can affect both adult and youth in committing a crime and becoming involved in community activities.         The   Underlying Assumpti

A Model of the Rate of Adult and Youth Crime and Community Spending in Bourke:

This is a model which displays whether community spending and the number of police can affect both adult and youth in committing a crime and becoming involved in community activities. 


The Underlying Assumptions:


It is assumed that adults and youths in the town of Bourke are the populations that we are interested in modelling. It is noted that a high number of people in Bourke are engaged in crimes. Therefore, people in Bourke are tempted or likely to commit petty crimes. Since petty crimes are not serious offences, both adults and youths who commit petty crimes will return to being adults and youths. However, if the crime is thought to be serious, people are sent to jail as a consequence. Once the people in jail serve their jail sentence, they are released from jail and returned to being themselves. 


In addition, the community introduced community activities, such as football clubs to reduce the number of crimes. Adults and youths in Bourke can be engaged with community activities and then return to being themselves. 


The variables of community spending and number of police are sliders which demonstrate the level of influence on different stocks and relationships when the number of police and community spending are adjusted. The simulation will reflect the adjusted pattern/trend. For example, if we hold community spending constant while adjusting the number of police, we see at one police officer, many people are committing petty crimes and not many are caught and placed in jail. However, if we change the number of police to 30, we can see a decrease in petty crimes and an increase in going to jail. Furthermore, if we change police to 60, almost no one is committing a petty crime and no one is sent to jail. 



• There are no other influences besides community spending and the number of police.

• The number of police is negatively related to the amount of petty crime.

• People are not learning from past mistakes.

• Community spending is negatively related to the amount of petty crime, but positively related to engaging in community activities.

• All values and time period, concepts are made up for the purposes of the model and for simplicity. They do not reflect real-life figures or time periods. 


 • Initial values are as follow:

           Bourke youth: 1000

           Bourke adult: 1000

           Bourke petty crime: 500

           Bourke jailed population: 500



Explanation of the model:


This model begins with adults and youths engaging in petty crime. Petty crime activities may include theft, assault or disorderly conduct like domestic violence in adults. Petty crime or the more serious crimes that lead to jail are affected by the number of police, and amount of community spending. The number of police affects the amount of people getting caught committing a petty crime or placed in jail. In addition, if people are not caught or did not commit a serious crime, they are returned to being adults and youths. 

Moreover, for the people in jail, they are sentenced for a period of 4 months before being released back to being themselves. This period of 4 months can vary for different crimes and does not represent the actual or real-life time period for any crimes. 


It is assumed that the justice reinvestment plan in Bourke will have community activities like football clubs. The purpose of the plan is to reduce the amount of crime and people going to jail. Thus, people in Bourke are engaged in these activities for 4 months, during which it prevents people from committing a crime.








  Youth community of Bourke     ​ Youth Crime rate in Bourke  An educated assumption was made with the youth crime rate in Bourke. According to the ABS the youth crime rate of Australia is 14% in 2013-14. However, taking into consideration the poor standards of living and lack of education and care
Youth community of Bourke

Youth Crime rate in Bourke
An educated assumption was made with the youth crime rate in Bourke. According to the ABS the youth crime rate of Australia is 14% in 2013-14. However, taking into consideration the poor standards of living and lack of education and care for youth in Bourke, it is expected that the youth crime will be more then double so the figure 40% was used in this model. 

Model Explanation
This simple model starts off in town, with estimated 500 youth in the community. As said above 40% is expected to commit crime with a percentage of the crime population getting away not caught. This number depends on how many are caught and also how many police are out in the town. According to the "Boscar" (Bureau of Crime Statistics and Research) NSW's conviction rate is 85.7%. Even though the conviction is relatively high, Bourke's conviction rate was set at 60% due to the high level of crime against the number of police available. 

In juvenile detention the expected number of youth is 120, with 50% of those being released. There is a delay of 6months during this process because whoever is convicted has to stay inside the juvenile detention for 6months before being released. 

Those youths that does not commit crime has the choice to be a member of a sports team. These sports team has been funded by the community and the government through "Youth redevelopment Expenditure". This system allows teenagers in Bourke to be away from crime committing environment, hence reducing Youth crime rate in Bourke. 

The two sliders "Police" and "Youth Redevelopment Expenditure" indicates the intensity of spending on these two subjects. The result of Bourke's crime rate and sports team engagement changes depending on these sliders. 
 ​Model Information      This model is designed to make the link between people in Bourke, crime preservation and committed jail rate. Those elements are constantly affected by police, employment availability and education investment. I have simulated to show the number of criminals, jail, and alcoh
​Model Information 

This model is designed to make the link between people in Bourke, crime preservation and committed jail rate. Those elements are constantly affected by police, employment availability and education investment. I have simulated to show the number of criminals, jail, and alcohol addicted. 

Model has used 4 elements are Bourke population, alcohol addicted, crime preservation, and jail. There are 3 variables: police, employment rate and education investment. These three variable are adjustable.

People in Bourke can involved in many different situations. 

#1: They are drink and become alcohol addicts (drink stage). Base on the fact of Bourke problems, I have created a really hight rate drinking people (70% of town).The alcohol addicts are easily committed as criminals (50% 0f addicts) (commit stage). But this number can be decrease if they have higher education rate.

#2: They offended by temptation and become crime preservation (Temptation stage). Crime preservation can be considered and returned back to community (return stage). Otherwise, they convict to bad criminal guilty and go to jail ( conviction stage). The flow rate of conviction is also affected by the number of police. From jail, they could be release after five year and changing also base on the educate rate (release stage).

#3 They can have jobs in engage stage. Employment rate is also affected by education.

Bourke  is showed as the number of people in town, 
set to an initial value of 2000 to represent 100% of people in Bourke

Jail  because the criminal issues of Bourke are wide spread so jail describes the number of people who convicted as criminals, which is 20% of crime rate and minus the percentage of police.

Alcohol addicted is the rate of people who usually using alcohol.

Crime preservation is the number of people who are under consideration after doing something wrong or commit a sin. This is the waiting stage to confirm a offender.

Police  is a adjusted range number of police in town, which directly affect to temptation rate.

Employment : The unemployment rate in Bourke is hight. This apparently lead to community problem such as  theft or drinking alcohol. Employment is made adjusted to decrease te temptation and alcohol addicted rate. Employment rate is increased by going up education investment.

Education Investment: I strongly focus on this element because the belief that the better education creates better community. Thus, education investment in this model could change the release, return, conviction, commit and temptation flows.

There are
2000 people in Bourke
Police range: 1-100
Education investment rate: 1-100
Employment rate: 1-400

Observation and Key assumption 
Not all crime preservation will go to jail, some are returned back to Bourke.
Leaving all the variable at minimum, position results in the large amount of crime and after the the strong increasing in jail rate. The amount of jail is opposite the amount of criminals.

Leaving the employment and police at minimum but maximise the education investment rate, the elements widely fluctuate but gradually decrease to 0 after long time (34 years)

Leaving the education investment but maximise police and employment rate, the crime and jail amount almost a half during the time.
​ The Model      The model displayed depicts the interaction that the youth of Bourke has with the justice system and focuses on how factors like policing and community development affect the crime rate within this area. Bourke is a rural town that has a significant crime rate among youth. Local com
The Model

The model displayed depicts the interaction that the youth of Bourke has with the justice system and focuses on how factors like policing and community development affect the crime rate within this area. Bourke is a rural town that has a significant crime rate among youth. Local community members call for action to be taken in regards to this, meaning that steps must be taken to reduce the crime rate. This simple model explores how the amount of police and the investment of community development can have an effect on the town in regards to its issue of crime among youth.


Assumptions
  • Bourke's youth population is 1200, with 700 in town, 200 committing crimes and 300 already in jail
  • The amount of police, the expenditure on community development, and the domestic violence rate are the factors which have the potential to influence youth to commit crimes. The domestic violence rate is also influenced by the expenditure on community development.
  • Sporting clubs, interpersonal relationships between youth and police, and teaching trade skills all make up community expenditure
  • Activities relating to expenditure on community development run throughout the year, indicating that there is no delay where youth are not involved in these activities.
  • Every 6 months, only 60% of jailed youth are released. This may be for various factors such as committing crime in jail or being issued with lengthier sentences due to the severity of the crime(s) committed
  • 10% of youth who agree that domestic violence is an issue at home will commit crime
  • There is a delay of 1 month before youth go to jail for crime(s) committed. This model assumes that youth who have committed crime either return home (by decision or by not being caught) or go to jail. It also assumes that other punishments such as community service refer to returning back home.
  • The simulation takes place over a duration of 5 years (60 months)
  • Adults have little effect on the youth. Only where domestic violence is concerned do they play a factor within this model

How the Model Works

The model begins with the assumptions previously stated. Youth have the potential to commit a crime. 3 main variables influence this decision, including the amount of police, expenditure on community development, and domestic violence rate (which is influenced by the previous variable). These 3 variables are able to be adjusted using the relevant sliders with 0.5 indicating a low investment and 0.9 indicating a high investment. Police also have an influence on this decision. This variable is also able to be adjusted by a slider. Last of all, the domestic violence rate also contributes to this decision and this variable is negatively influenced by community development.

Once a youth has committed a crime they are either convicted and sent to jail or return back to town. The conviction rate is also influenced by the amount of police in town, as youth are more likely to get caught and thus jailed. Once again, the Police variable is able to be adjusted via the slider. This process takes a month.

From here, youth typically spend 6 months in jail. After this time period 60% are released while the remaining 40% remain in jail either due to lengthier sentences for more severe crimes or due to incidents within jail. The process then repeats.


Parameter Settings and Results
  • Initially there is a state of fluctuation within this model. It may be a good idea to ignore it and pay attention to how variables change over time from their initial state
  • Increasing the amount of police will raise the amount of people jailed and decrease crime
  • Increasing the community development variables from a minimal investment (i.e. set at 0.5) to a high investment (i.e. set at 0.9) will reduce both the crime rate and the conviction rate. It is worth noting that the community development variable also influences the domestic violence rate variable which also has an effect on the results
  • If only 2 of the 3 community development variables have a high investment then there is not much effect on the crime rate or jail rate. All 3 variables should be given the same level of investment to give us a desired outcome
  • The model does allow for a maximum of 40 police (as we do not want to spend more money on police than we already have in the past), as well as the maximum investment for community development. When choosing settings it may be necessary to ponder if it is financially realistic to maintain both a large number of police as well as investing heavily into community development
  Justice Reinvestment in Bourke    Model Explanation:   One part of this model is displaying the typical lifestyle of many adults and youth in the town Bourke, North West of New South Wales. This lifestyle involves committing crime, getting arrested for the crime by police (or getting away with it)

Justice Reinvestment in Bourke

Model Explanation:

One part of this model is displaying the typical lifestyle of many adults and youth in the town Bourke, North West of New South Wales. This lifestyle involves committing crime, getting arrested for the crime by police (or getting away with it) and spending time in jail (for adults) or juvenile detention (for the youth) or simply getting discharged.

Additionally to this traditional lifestyle being modelled, an alternative option called community groups has also been incorporated into the model. The model is showing that members of Bourke have the option to join a community group which the government hopes will improve their lifestyle when they are immersed once again into society, thus reducing the rate of crime.

The Stocks Involved:

Adult- The adults living in Bourke
Youth- The adolescents living in Bourke
Petty Crime- The standard crime committed by the youth of Bourke. This can include stealing cars and breaking into property.
Crime- The common crime circulating among the adults of Bourke. This includes domestic violence often as a result of heavy drinking.
Apprehended- Youth getting captured by the police
Arrested- Adults getting caught by the police
Juvenile Detention- Alienation of youth by police
Jail- Adults locked up by the police
Community Group- Groups formed for the people of Bourke to join. Includes development activities, sporting clubs and trade-skill learning classes.
Positive Lifestyle- Adults and youth who have improved themselves as a result of joining these community groups (the goal of community engagement program expenditure).

The Variables Involved and How to Adjust Them:

1. Policing: The number of police in the town of Bourke. The level and amount of punishment is dependent on the quantity of police present. 

Minimum amount is one as there should be at least one police existent.

2. Community Engagement Expenditure: The total amount of money spent into community groups to develop individuals. 

The purpose of the government is to spend money on community engagement activities so the minimum is at least one percent of the money they have available to spend and the maximum is 100 percent of the money they can afford to spend.

--> Both variables have a slider that goes up and down by one step. You can adjust both variables at the same time but take into account both variables have their own minimum and maximum.

Underlying Assumptions:

-Approximately 3000 people in Bourke

-Coefficients and initial values are arbitrarily chosen. These would be modified with real-life data.

-The only external influences on this model are police and community investment.

Suggested Settings for Interesting Results:

1. First move the policing and community expenditure sliders to their maximum. Hit the simulate button and look at the first time-series graph titled 'Youth Lifestyle'. Notice the delays between increase of each stock and the ordering: As Youth decreases, Petty Crime will increase. Then youth Apprehended will begin to increase followed by those going to Juvenile Detention. Youth will then start to increase again and the trend continues over the 3-year period displayed. Notice how the same pattern occurs for the time-series graph labelled 'Adult Lifestyle'.

2. Move the policing slider to 1 and the community expenditure slider to 100. Hit simulate. Notice in the 'Youth Lifestyle' graph how even with community expenditure at its maximum, over time, Petty Crime will still increase because there are hardly any police and hence hardly any youth getting caught so as a result the youth in Bourke keep to their regular immoral lifestyle. If you view the 'Adult Lifestyle' graph you will see the same pattern. (Note this point is a main reason for the conclusion drawn below).

3. Move the community engagement and policing slider to their minimum 1. Hit simulate. View the third display titled 'Community Engagement Program'. You will notice how Youth and Adult decrease and Crime and Petty Crime increase. Also, since community engagement is at its minimum too (not just policing) the amount of people in Community Groups decreases significantly and as a result the number of individuals creating a Positive Lifestyle for themselves decreases too.

4. Move the Community Engagement Expenditure slider to 1 and the Policing slider to 50 and look particularly at the last display labelled 'Adults and Youth: Membership and Crime Rates'. You will notice instantly how Community Group and Positive Lifestyle always have a lower number of individuals compared to the general Youth and Adult stocks as well as the Crime and Petty Crime stocks. This gives indication that a higher amount of investment should be put into the community engagement programs for better results. 

Conclusions:

A combination of policing and community engagement expenditure is the best solution for the people of Bourke as the policing will gradually reduce the amount of crime and the community development programs will help create a positive lifestyle for each individual that joins. Overall it is not efficient to just invest in community development programs. For the most effective outcome, an increase in policing is needed as well as investments in community engagement activities.

Note: You do not need to dive into any formulae. But feel free to move the sliders and hit that simulate button to view how the number of people in each stock changes based on the level of policing and community engagement expenditure!

 Model Explanation   ​ This simple model highlights key investment areas within the Bourke community that can influence the overall levels of crime.      The total population of Bourke is split into a percentage of adults and youth who have differing participation rates in community groups. Those wh
Model Explanation 
This simple model highlights key investment areas within the Bourke community that can influence the overall levels of crime. 

The total population of Bourke is split into a percentage of adults and youth who have differing participation rates in community groups. Those who are engaged as a member of a community group most to a positive lifestyle state.

Those who do not wish to join or are not engaged in a community group are offered tertiary education. Similarly, those engaged in tertiary education move to a positive lifestyle state. Those who do not seek or engage in tertiary education are alienated from the community. They are at an 80% chance of committing crime. The other 20% voluntarily reengage with society. Once a crime is committed, the individual is either arrested or eludes arrest. The likelihood of arrest varies depending on policing expenditure. An individual who is arrested will be placed on trial and if found guilty will be placed in a correctional facility (either a juvenile detention centre of jail). 

Assumptions

Community engagement participation rates vary depending on the individuals age, with youth more inclined to join a community group. Variance in expenditure is reflected in participation rates in a linear fashion. 

Members of Bourke who are not engaged in community groups are targeted and presented with the opportunity to participate in tertiary education such as the teaching of trade-skills. Those targeted have the same likeliness to participate in tertiary education regardless of age. 

Those who do not seek any for of community involvement are considered alienated and at a high risk of committing crime.  

Sliders have been included to vary the total population size of Bourke, with ratios of Adult to Youth remaining the same. Expenditure can be varied depending on government distribution with the input in dollars. 

It is assumed that all relationships are linear within this model. Individuals who are either in a positive lifestyle or correctional facility are in that state for six months before returning to be part of the population of Bourke.

Interesting Results

Even with no Policing Expenditure, there are times when there are no individuals in a correctional facility if Community Engagement Expenditure and Tertiary Skills Development Expenditure is maximised.  

   INTRODUCTION     ​This model simulates the effect of
Police expenditure, Community expenditure and substance abuse (Alcohol and
drugs). 

 This model can be used by community
member responsible for making expenditure decision for the community.
The variable can be manipulated for see how changes 

INTRODUCTION 

​This model simulates the effect of Police expenditure, Community expenditure and substance abuse (Alcohol and drugs).

This model can be used by community member responsible for making expenditure decision for the community. The variable can be manipulated for see how changes in community engagement and policing expenditure affect other parts of the community.

STOCKS-

Youth- The adolescents living in Bourke            

Adult- The adults living in Bourke

Crime- The common crime circulating among the adults of Bourke.

Apprehended- Getting captured by the police

Community Group- Groups formed for the people of Bourke to join. Including development activities, trade-skill learning classes and sports.

Positive Lifestyle- Adults and youth who have improved themselves because of joining these community groups and leading a positive lifestyle.

VARIABLE-

Community Expenditure - The amount of money spent on community groups to develop skills and keep the adults engaged. The variable can be raised to increase the amount of population (Adult or Youth) joining a community group which can lead to a positive lifestyle.

Alcohol and Drugs - This variable acts as an agent to disengage Adult and Youth from the community.

The Policing Expenditure - The number of money spent after police. This variable can be changed to affect the number of people getting apprehended.

ASSUMPTION- 

1) 3000 People living in Bourke

2) External Influence - Community groups, Police and Substance abuse

3) 70% of the population are Adult and 30% are Youth

4) Crime- 600

5) Apprehended - 

6) Community Group - 300

7) Positive life - 100

8) Jail - 480

SUGGESTED SETTING

Positive Lifestyle lead by the community-      Setting the Community Expenditure to a high 80, policing factor to a medium 50 and Substance abuse to a low 30 we will see a surge of positive lifestyle.

 

High Rate of Engagement- An increase in the Substance abuse variable to 10% shows crime and people in jail increase but the ratio of people engaged in community groups is much higher.

CRIME RATE (HIGHEST) - If Community Engagement Expenditure and Policing Expenditure are reduced to zero the amount of crime increases significantly over time and the amount of people in jail reduces to near zero.

 

CONCLUSION

A combination of policing and community engagement expenditure is the best solution for the people of Bourke.The policing will gradually reduce the amount of crime and the community development programs will help create a positive lifestyle.

For the most effective outcome, an increase in policing is needed as well as investments in community engagement activities.

    ​Justice Reinvestment in Bourke  A linear function (Straight Line Method) has been created to determine the impact of adjusted expenditure levels in policing and community development. The Model: System DynamicsKey Assumptions: Bourke Population: 3,000Bourke Youth Population (Age 8 - 18 years):


​Justice Reinvestment in Bourke
A linear function (Straight Line Method) has been created to determine the impact of adjusted expenditure levels in policing and community development. The Model: System DynamicsKey Assumptions: Bourke Population: 3,000Bourke Youth Population (Age 8 - 18 years): 1,000
   Purpose of the model   To show the impact of increasing number of active police and increase development programs in order to lessen crime in the city of Bourke.      Assumptions   3000 residents in Bourke    4.37% of the population is consider to be At Risk      STOCKS        AT RISK INDIVIDUALS
Purpose of the model
To show the impact of increasing number of active police and increase development programs in order to lessen crime in the city of Bourke.

Assumptions 
3000 residents in Bourke

4.37% of the population is consider to be At Risk

STOCKS

AT RISK INDIVIDUALS
Individuals who committed a crime

CRIME
Includes Domestic violence and Petty Crimes.

JAIL
Once an At Risk Individual is convicted of their crime they get sent to this. 

COMMUNITY PROGRAM
Where at risk individuals can register and commit to a community program.

NOT AT RISK INDIVIDUALS
Once an at risk individual completes the community Program

VARIABLES

LGA COMMUNITY DEVELOPMENT FUNDING
Amount of funding that can be used to increase Police Units, or improve the community Program

POLICE UNITS
Amount of Police that are active in Bourke at a given time

CONVICTIONS
Conviction rate depends on the amount of active police.

PROGRAM COMPLETION RATE
Program completion depends on the amount of Funding it gets

SET NUMBERS
Total population of Bourke is 3000 as seen here.

Total Number of At Risk Individuals is collected at a research conducted by BOCSAR.
At risk individuals include crimes such as Domestic Violence, Robbery, Break and enter dwelling, Break and enter non-dwelling

Suggested Settings.

Maxing one slider while the other is at its minimum value, to show which gives a bigger impact

Maxing Both sliders to show how it affects the crime rate. 

Both sliders at its minimum value to show how crime rates would react.
  MODEL EXPLANATION:  This model simulates possible crime patterns
among the youth population of Bourke, where levels of alienation, policing
and community engagement expenditure can be manipulated. Here the youth in Bourke have a minimum percentage of interest to participate in community activities

MODEL EXPLANATION:

This model simulates possible crime patterns among the youth population of Bourke, where levels of alienation, policing and community engagement expenditure can be manipulated. Here the youth in Bourke have a minimum percentage of interest to participate in community activities in which the government aims to improve their lifestyle and therefore reduce the rate of criminal activity. ASSUMPTIONS:There are 1500 youths of Bourke in the population susceptible to committing crime and simulations of criminal tendencies are only based the factors presented, no external influences.
VARIABLES:“Alienation” includes any factors that can increase the likelihood of youths to commit crime such as exposure to domestic violence, household income, education level, and family background‘Community engagement Expenditure’ is the total monies budgeted into community activities to develop youths in and out of Juvenile detention‘Policing’ is the amount of police placed onto patrol in the town of Bourke to reinforce safety and that the law is abided by. STOCKS:Conviction rate is set to 60%A juvenile detention sentence for convicted criminals is set to 3 monthsThe top 30% of the most severe offenders are sent to rehabilitation for 3 months, to which they return to Bourke, assumingly in a better state and less likely to repeat a petty crimeCommunity activities are set to last for 3 months to align with the seasons: these could be sporting clubs or youth groupsCommunity participants have a 20% chance of being disengaged as it may not align with their interestsInvestments into policing are felt immediately& community engagement expenditure has a delay of 3 months
INTERESTING FINDS:1.    Alienation set to max (0.2), policing and community engagement set to minimum shows a simulation whereby all criminals are in town rather than being expedited and placed into juvenile detention, even after a base value of 200 youths placed into juvenile detention – this shows that budget is required to control the overwhelming number of criminal youths as they overrun Bourke2.    Set community activity to 0.01, policing to max & Alienation to max. A lack of community activity can produce high disengagement amongst youths regardless of police enforcement to the town of Bourke that has a high criminal rate. Juvenile detention only lasts for so long and not all youths can be rehabilitated, so they are released back into Bourke with chances of re-committing crime. 3.    Alienation plays a major role in affecting youths to consider committing crime. To keep criminal activity to a minimum, ideally the maximum rates of budget in policing and community engagement within youths highly at risk of committing crime should be pushed. Realistically, budget is a sensitive case within a small town and may not be practical. 4. Set policing to 0.25, community engagement to 0.2 & alienation to 0.04. Moderate expenditure to community activities and policing can produce high engagement rates and improved youths in the town of Bourke.



  Justice Reinvestment in Bourke    Model Explanation:   One part of this model is displaying the typical lifestyle of many adults and youth in the town Bourke, North West of New South Wales. This lifestyle involves committing crime, getting arrested for the crime by police (or getting away with it)

Justice Reinvestment in Bourke

Model Explanation:

One part of this model is displaying the typical lifestyle of many adults and youth in the town Bourke, North West of New South Wales. This lifestyle involves committing crime, getting arrested for the crime by police (or getting away with it) and spending time in jail (for adults) or juvenile detention (for the youth) or simply getting discharged.

Additionally to this traditional lifestyle being modelled, an alternative option called community groups has also been incorporated into the model. The model is showing that members of Bourke have the option to join a community group which the government hopes will improve their lifestyle when they are immersed once again into society, thus reducing the rate of crime.

The Stocks Involved:

Adult- The adults living in Bourke
Youth- The adolescents living in Bourke
Petty Crime- The standard crime committed by the youth of Bourke. This can include stealing cars and breaking into property.
Crime- The common crime circulating among the adults of Bourke. This includes domestic violence often as a result of heavy drinking.
Apprehended- Youth getting captured by the police
Arrested- Adults getting caught by the police
Juvenile Detention- Alienation of youth by police
Jail- Adults locked up by the police
Community Group- Groups formed for the people of Bourke to join. Includes development activities, sporting clubs and trade-skill learning classes.
Positive Lifestyle- Adults and youth who have improved themselves as a result of joining these community groups (the goal of community engagement program expenditure).

The Variables Involved and How to Adjust Them:

1. Policing: The number of police in the town of Bourke. The level and amount of punishment is dependent on the quantity of police present. 

Minimum amount is one as there should be at least one police existent.

2. Community Engagement Expenditure: The total amount of money spent into community groups to develop individuals. 

The purpose of the government is to spend money on community engagement activities so the minimum is at least one percent of the money they have available to spend and the maximum is 100 percent of the money they can afford to spend.

--> Both variables have a slider that goes up and down by one step. You can adjust both variables at the same time but take into account both variables have their own minimum and maximum.

Underlying Assumptions:

-Approximately 3000 people in Bourke

-Coefficients and initial values are arbitrarily chosen. These would be modified with real-life data.

-The only external influences on this model are police and community investment.

Suggested Settings for Interesting Results:

1. First move the policing and community expenditure sliders to their maximum. Hit the simulate button and look at the first time-series graph titled 'Youth Lifestyle'. Notice the delays between increase of each stock and the ordering: As Youth decreases, Petty Crime will increase. Then youth Apprehended will begin to increase followed by those going to Juvenile Detention. Youth will then start to increase again and the trend continues over the 3-year period displayed. Notice how the same pattern occurs for the time-series graph labelled 'Adult Lifestyle'.

2. Move the policing slider to 1 and the community expenditure slider to 100. Hit simulate. Notice in the 'Youth Lifestyle' graph how even with community expenditure at its maximum, over time, Petty Crime will still increase because there are hardly any police and hence hardly any youth getting caught so as a result the youth in Bourke keep to their regular immoral lifestyle. If you view the 'Adult Lifestyle' graph you will see the same pattern. (Note this point is a main reason for the conclusion drawn below).

3. Move the community engagement and policing slider to their minimum 1. Hit simulate. View the third display titled 'Community Engagement Program'. You will notice how Youth and Adult decrease and Crime and Petty Crime increase. Also, since community engagement is at its minimum too (not just policing) the amount of people in Community Groups decreases significantly and as a result the number of individuals creating a Positive Lifestyle for themselves decreases too.

4. Move the Community Engagement Expenditure slider to 1 and the Policing slider to 50 and look particularly at the last display labelled 'Adults and Youth: Membership and Crime Rates'. You will notice instantly how Community Group and Positive Lifestyle always have a lower number of individuals compared to the general Youth and Adult stocks as well as the Crime and Petty Crime stocks. This gives indication that a higher amount of investment should be put into the community engagement programs for better results. 

Conclusions:

A combination of policing and community engagement expenditure is the best solution for the people of Bourke as the policing will gradually reduce the amount of crime and the community development programs will help create a positive lifestyle for each individual that joins. Overall it is not efficient to just invest in community development programs. For the most effective outcome, an increase in policing is needed as well as investments in community engagement activities.

Note: You do not need to dive into any formulae. But feel free to move the sliders and hit that simulate button to view how the number of people in each stock changes based on the level of policing and community engagement expenditure!

  MODEL EXPLANATION:  This model simulates possible crime patterns
among the youth population of Bourke, where levels of alienation, policing
and community engagement expenditure can be manipulated. Here the youth in Bourke have a minimum percentage of interest to participate in community activities

MODEL EXPLANATION:

This model simulates possible crime patterns among the youth population of Bourke, where levels of alienation, policing and community engagement expenditure can be manipulated. Here the youth in Bourke have a minimum percentage of interest to participate in community activities in which the government aims to improve their lifestyle and therefore reduce the rate of criminal activity. ASSUMPTIONS:There are 1500 youths of Bourke in the population susceptible to committing crime and simulations of criminal tendencies are only based the factors presented, no external influences.
VARIABLES:“Alienation” includes any factors that can increase the likelihood of youths to commit crime such as exposure to domestic violence, household income, education level, and family background‘Community engagement Expenditure’ is the total monies budgeted into community activities to develop youths in and out of Juvenile detention‘Policing’ is the amount of police placed onto patrol in the town of Bourke to reinforce safety and that the law is abided by. STOCKS:Conviction rate is set to 60%A juvenile detention sentence for convicted criminals is set to 3 monthsThe top 30% of the most severe offenders are sent to rehabilitation for 3 months, to which they return to Bourke, assumingly in a better state and less likely to repeat a petty crimeCommunity activities are set to last for 3 months to align with the seasons: these could be sporting clubs or youth groupsCommunity participants have a 20% chance of being disengaged as it may not align with their interestsInvestments into policing are felt immediately& community engagement expenditure has a delay of 3 months
INTERESTING FINDS:1.    Alienation set to max (0.2), policing and community engagement set to minimum shows a simulation whereby all criminals are in town rather than being expedited and placed into juvenile detention, even after a base value of 200 youths placed into juvenile detention – this shows that budget is required to control the overwhelming number of criminal youths as they overrun Bourke2.    Set community activity to 0.01, policing to max & Alienation to max. A lack of community activity can produce high disengagement amongst youths regardless of police enforcement to the town of Bourke that has a high criminal rate. Juvenile detention only lasts for so long and not all youths can be rehabilitated, so they are released back into Bourke with chances of re-committing crime. 3.    Alienation plays a major role in affecting youths to consider committing crime. To keep criminal activity to a minimum, ideally the maximum rates of budget in policing and community engagement within youths highly at risk of committing crime should be pushed. Realistically, budget is a sensitive case within a small town and may not be practical. 4. Set policing to 0.25, community engagement to 0.2 & alienation to 0.04. Moderate expenditure to community activities and policing can produce high engagement rates and improved youths in the town of Bourke.



 Crime Rate in Bourke  Bourke is a town in North West of NSW and there are having 3000 people in there, the people in there are usually having violent. In this graph, it will show how many people will commit a crime and be detention by police. But not all of the people will commit a crime, some of t
Crime Rate in Bourke
Bourke is a town in North West of NSW and there are having 3000 people in there, the people in there are usually having violent. In this graph, it will show how many people will commit a crime and be detention by police. But not all of the people will commit a crime, some of them will become a member and join the sports group. According to the crime rate from ABS of NSW in 2015-2016, the crime rate is 30%. However, during the poor environment and lack of education, the youth crime rate will be increased in Bourke and the crime rate was setting in 50% in this model.

More Details about the Graph

In this graph, there are six variables in it, however, crime rate, conviction rate and release rate is already fixed in a percentage number, because those number is already confirmed from ABS. Thus, user can adjust the range of variables such as police, membership rate and youth reestablished new life.

According to the statistics recorded of ABS in 2016, the people in Bourke is around 3000. Hence, the people in this model was setting in 3000. During there are high crime in Bourke, the conviction rate was setting at 60% in this model. Assume the number of police was maximum in 50 in Bourke. The release rate in Bourke is estimated 50% in this model and the delay is 7 months for processing before released the prisoners.

However, not all of the youth in Bourke are committing the crime, those youth can join the sports group in the community and the membership rate can be changed the range from 0.1-1. If people in Bourke take part in the sports group, it will be a good thing for them. Government is also funding to the communities in Bourke.

The users can change the range of the police from 1-50, the more police in there, the less crime happen. The higher membership rate means the more people join in the sports group. User can change the range of youth reestablished from 1-50. The number of youth reestablish new life means that they may join the sports team or commit the crime again after they released from detention.The less police the graph will show there are less people in detention because there are not enough police handling the crime.
 
   Purpose of the model   To show the impact of increasing number of active police and increase development programs in order to lessen crime in the city of Bourke.      Assumptions   3000 residents in Bourke    4.37% of the population is consider to be At Risk     Funding and # of Police units will
Purpose of the model
To show the impact of increasing number of active police and increase development programs in order to lessen crime in the city of Bourke.

Assumptions 
3000 residents in Bourke

4.37% of the population is consider to be At Risk

Funding and # of Police units will be consistent in a 12 month period.

STOCKS

AT RISK INDIVIDUALS
Individuals who committed a crime

CRIME
Includes Domestic violence and Petty Crimes.

JAIL
Once an At Risk Individual is convicted of their crime they get sent to this. 

COMMUNITY PROGRAM
Where at risk individuals can register and commit to a community program.

NOT AT RISK INDIVIDUALS
Once an at risk individual completes the community Program

VARIABLES

LGA COMMUNITY DEVELOPMENT FUNDING
Amount of funding that can be used to increase Police Units, or improve the community Program

POLICE UNITS
Amount of Police that are active in Bourke at a given time

ARRESTS
Arrests rate depends on number of active police units

PROGRAM COMPLETION RATE
Program completion depends on the amount of Funding it gets

SET NUMBERS
Total population of Bourke is 3000 as seen here.

Total Number of At Risk Individuals is collected at a research conducted by BOCSAR.
At risk individuals include crimes such as Domestic Violence, Robbery, Break and enter dwelling, Break and enter non-dwelling

Suggested Settings.

Maxing one slider while the other is at its minimum value, to show which gives a bigger impact

Maxing Both sliders to show how it affects the crime rate. 

Both sliders at its minimum value to show how crime rates would react.
  Exploration of Funding Distribution within Bourke, NSW       This Insight provides a vision of the current crime rate of Bourke and the impact that increases in funding in both community involvement and policing will have. It models this data across 24 months.        Stocks:         General Popula
Exploration of Funding Distribution within Bourke, NSW

This Insight provides a vision of the current crime rate of Bourke and the impact that increases in funding in both community involvement and policing will have. It models this data across 24 months.

Stocks:

General Population of Bourke
This is the general population of Bourke, set by default at the current population of 3000.

Criminals
These are citizens that have been turned to crime due to a lack of community programs and police presence.

Incarcerated Criminals
When a criminal is found to be guilty they are placed in jail for a duration of time before being returned to the general population.

Community Involvement Program Participants
These are members of the public who are engaged with community programs.

Variables:

Size of Police Force
The number of police force members present in Bourke. The value is between 0-1 and represents no funding against full funding.

Funding for Community Programs
This represents the amount of funding committed to community programs. The value is set between 0-1 and represents no funding against full funding.


Description and Assumptions:

This model assumes that even with complete police funding there will never be a complete eradication of crime within Bourke.

Based on statistics gathered from this document:
http://www.aic.gov.au/media_library/publications/tandi_pdf/tandi020.pdf
​Most crimes tend to carry with them a jail time of a year or less. As such, this model averages the amount of time spent incarcerated is 9 months.

This model assumes that the funding for these services will remain consistent across the entire period of time.

The model assumes that community programs will likely last 12 months.

Notable Data Points

As can be seen in the model, an increase in police funding causes an increase in criminals. There is a critical point where an increase in police presence leads to higher incarceration. Prior to this point, there is more crime, but fewer arrests.

An increase in social programs decreases crime overall.
Yu Mao's questionable and barely functional model on ​Bourke's crime landscape with consideration of community development and police.     SID: 43626971.     Model displays the impacts of community development and police simultaneously on offenders in both youth and adult age groups. Also considers
Yu Mao's questionable and barely functional model on ​Bourke's crime landscape with consideration of community development and police. 

SID: 43626971.

Model displays the impacts of community development and police simultaneously on offenders in both youth and adult age groups. Also considers these variables simultaneously. 
 Model Explanation   ​ This simple model highlights key investment areas within the Bourke community that can influence the overall levels of crime.      The total population of Bourke is split into a percentage of adults and youth who have differing participation rates in community groups. Those wh
Model Explanation 
This simple model highlights key investment areas within the Bourke community that can influence the overall levels of crime. 

The total population of Bourke is split into a percentage of adults and youth who have differing participation rates in community groups. Those who are engaged as a member of a community group most to a positive lifestyle state.

Those who do not wish to join or are not engaged in a community group are offered tertiary education. Similarly, those engaged in tertiary education move to a positive lifestyle state. Those who do not seek or engage in tertiary education are alienated from the community. They are at an 80% chance of committing crime. The other 20% voluntarily reengage with society. Once a crime is committed, the individual is either arrested or eludes arrest. The likelihood of arrest varies depending on policing expenditure. An individual who is arrested will be placed on trial and if found guilty will be placed in a correctional facility (either a juvenile detention centre of jail). 

Assumptions

Community engagement participation rates vary depending on the individuals age, with youth more inclined to join a community group. Variance in expenditure is reflected in participation rates in a linear fashion. 

Members of Bourke who are not engaged in community groups are targeted and presented with the opportunity to participate in tertiary education such as the teaching of trade-skills. Those targeted have the same likeliness to participate in tertiary education regardless of age. 

Those who do not seek any for of community involvement are considered alienated and at a high risk of committing crime.  

Sliders have been included to vary the total population size of Bourke, with ratios of Adult to Youth remaining the same. Expenditure can be varied depending on government distribution with the input in dollars. 

It is assumed that all relationships are linear within this model. Individuals who are either in a positive lifestyle or correctional facility are in that state for six months before returning to be part of the population of Bourke.

Interesting Results

Even with no Policing Expenditure, there are times when there are no individuals in a correctional facility if Community Engagement Expenditure and Tertiary Skills Development Expenditure is maximised.  

  About
the Model  

 This
model is designed to simulate the youth population in Bourke, specifically
focusing on the number of criminals and incarcerated dependent on a few key
variables. 

 Within the model, a young person living in Bourke can be classified as being in any of five states:  Young C

About the Model

This model is designed to simulate the youth population in Bourke, specifically focusing on the number of criminals and incarcerated dependent on a few key variables.

Within the model, a young person living in Bourke can be classified as being in any of five states:

Young Community Member: The portion of the youth population that is not committing crime and will not commit crime in the future. Essentially the well behaved youths. A percentage of these youths will become alienated and at risk.

Alienated and At Risk Youths: The youths of Bourke that are on the path of becoming criminals, this could be caused by disruptive home lives, alcohol and drug problems, and peer pressure, among other things.

Criminal: The youths of Bourke who are committing crimes. Of these criminals a percentage will be caught and convicted and become imprisoned, while the remainder will either go back to being at risk and commit more crimes, or change their behaviour and go back to being a behaving community member.

Imprisoned: The youths of Bourke who are currently serving time in a juvenile detention centre. Half of the imprisoned are released every period at a delay of 6 months.

Released: Those youths that have been released from a detention centre. All released youths either rehabilitate and go back to being a community member or are likely to re-offend and become an alienated and at risk youth.

The variables used in the model are:

Police- This determines the police expenditure in Bourke, which relates to the number of police officers, the investment in surveillance methods and investment in criminal investigations. The level of expenditure effects how many youths are becoming criminals and how many are being caught. An increase in police expenditure causes an increase in imprisoned youths and a decrease in criminals.

Community Engagement Programs- The level of investment in community engagement programs that are targeted to keep youths in Bourke from becoming criminals. The programs include sporting facilities and clubs, educational seminars, mentoring programs and driving lessons. Increasing the expenditure in community engagement programs causes more young community members and less criminals and at risk youths.

Community Service Programs- The level of investment in community service programs that are provided for youths released from juvenile detention to help them rehabilitate and reintegrate back into the community. An increase in community service expenditure leads to more released prisoners going back into the community, rather than continuing to be at risk. Since community service programs are giving back to the community, the model also shows that an increase in expenditure causes a decrease in the amount of at risk youths.

All three of these variables are adjustable. The number of variables has been kept at three in order to ensure the simulation runs smoothly at all times without complicated outputs, limitations have also been set on how the variables can be adjusted as the simulation does not act the same out of these boundaries.

Key Assumptions:

The model does not account for the youths’ memory or learning.

There is no differentiation in the type of criminals and the sentences they serve. Realistically, not all crimes would justify juvenile detention and some crimes would actually have a longer than six-month sentence.

The constants within in the calculations of the model have been chosen arbitrarily and should be adjusted based on actual Bourke population data if this model were to be a realistic representation of Bourke’s population.

The model assumes that there are no other factors affecting youth crime and imprisonment in Bourke.

There are 1500 youths in Bourke. At the beginning of the simulation:

Young Community Member = 700

Alienated and At Risk Youth = 300

Criminal = 300

Imprisoned = 200

Noteworthy observations:

Raising Police expenditure has a very minimal effect on the number of at risk youths. This can be clearly seen by raising Police expenditure to the maximum of twenty and leaving the other two variables at a minimum. The number of Alienated and at Risk Youths is significantly higher than the other states.

Leaving Police expenditure at the minimum of one and increasing community development programs and community service programs to their maximum values shows that, in this model, crime can be decreased to nearly zero through community initiatives alone.

Leaving all the variables at the minimum position results in a relatively large amount of crime, a very low amount of imprisoned youth, and a very large proportion of the population alienated and at risk.

An ideal and more realistic simulation can be found by using the settings: Police = 12, Community Engagement Programs = 14, Community Service Programs = 10. This results in a large proportion of the population being young community members and relatively low amounts of criminals and imprisoned.



MGMT Assignment 3 Insightmaker

 Model Description: 

 This is a system dynamic model. This model
is simulating the problem that is occurring in the town of Bourke NSW. It
represents that as there is a lack of activities for the youth to participate in
they take part in crime to satisfy their boredo
MGMT Assignment 3 Insightmaker

Model Description:

This is a system dynamic model. This model is simulating the problem that is occurring in the town of Bourke NSW. It represents that as there is a lack of activities for the youth to participate in they take part in crime to satisfy their boredom. So, the model demonstrates what happens to the crime rates of the youth when more community investment is put in as well as what happens to crime when police presence is increased in Bourke. This simulation is displayed over 5 years monthly.

 

Assumptions:

<!- Community investment is distributed equally between all the activities.

2.    Community investment affects participation rates and reduces the crime rates.

3.    The number of police affects the caught rate of crimes

4.    When investment increases crime decreases

5.    When police presence increases crime rates decreases but the number of youth caught increases

6.    The minimum amount in detention is 3 months so there is a 3-month delay – also detention released occur every 3 months and they are released in batches.

7.    The amount being released corresponds to the amount caught

 

Interesting Results:

Police (5), Community Investment (0) – this is a based result showing crime is high and the caught rate is low with no police presence

Police (30), Community Investment (0) – it shows crime is decreasing and amount caught is increasing as more police are present

Police (45), Community Investment (0.2) – it displays that crime is decreasing and the other activities are becoming more popular and is satisfying the youths boredom as well. Boredom also decreases.

Police (65), Community Investment (0.4) -  crime and boredom have reduced dramatically due to an increase in investment. Also, the caught rate is becoming more frequent. Also sporting and tafe activities are becoming more prevalent.

Police (100), Community Investment (0.5) – Max police and community investment, shows crime, boredom and amount caught have diminished. Sport and tafe have increase rapidly.

<!- Variables involved:

<!- Community investment – is an adjusted variable as it displays the increase in investment in the community showing a maximum of 50% and a minimum of 5%. This variable can be adjusted with the community investment slider.

<!- Caught variable – it determines the rate of being caught by dividing the amount of police by 100 to get a percentage. This is fixed, but is adjusted by the police stock. This variable can be adjusted with the police slider.

      Educated Rate - is a fixed variable with a if statement saying once crime is lower than 100 people more people are leaving tafe educated.This is to show that the rate changes once crime decreases.

      Leaving rate - is a variable that is fixed with a if statement saying once crime reaches less than a 100 it reduces the amount leaving. This is to show that the rate changes once crime decreases.

      Stocks:

      Tafe - Trade skills, Hospitality, vet, personal training

      Sport - AFL, Rugby, Netball, Volleyball, Soccer, Cricket

      Boredom - in the community walking around the streets, at home doing nothing and looking for trouble.

      Youth - population of youth

      Crime - Stealing, breaking and entering, drinking under age, taking illegal substances, assault and destroying property.

      Caught - gets caught by police.

      Police - on duty to take of the community.

      Detention - jail/juvenile detention is the punishment for the crimes.

Va

 Description:  This model focuses on the youth population of the community of Bourke in Australia. It shows the crime development of the youth population depending on the relationships of the expenditure provided by the police and community, crime rate and release rate of Bourke, and the rate of ato
Description:
This model focuses on the youth population of the community of Bourke in Australia. It shows the crime development of the youth population depending on the relationships of the expenditure provided by the police and community, crime rate and release rate of Bourke, and the rate of atonement failure.

Initial Assumptions:

Youth in community: 1000
Mischievous youths: 200
Youth involved in crime: 140
Youth in jail: 80

How the Model Works:

1. Youth in Community
The model starts from being a youth in the community with no real motive which is affected by the community development expenditure. There are two paths that the youth can take, becoming bored of the community and staying as a normal youth with no motive in the community. There is a 70% chance of the youth becoming bored of the community and becoming mischievous as the community did not satisfy the youths' boredom.

2. Mischievous Youth
After transitioning to a normal youth to a mischievous youth, there are two paths that the mischievous youth can take. The non criminal activity path which is when the mischievous youth is not bored from the community anymore and proceeds back into the community, this path is affected by the community development expenditure. The second path is becoming involved with criminal activity and thus becoming a criminal, which is affected by the 40% crime rate of Bourke.

3. Criminal
After becoming a criminal youth, there are two paths that the youth can go down. The first path involves not being caught by the police yet and are still wondering around in the community at a 20% chance. This path is affected by the atonement failure variable as the criminal youth, despite going back into the community, is still willing to be involved in crime. The second path is getting caught by the police and is jailed at an 80% chance. This path is affected by the police expenditure used to catch the criminal youth.

4. Jailed
After being jailed by the police, the criminal youth can be released back into the community after their sentence has been completed, they can either still be involved in crime or a mischievous youth. The first path is failing to atone for their crimes even after spending a period of time in jail, with a 20% chance of happening. This path is affected by the atonement failure variable. The second path is being released back in the community at a 90% chance as a mischievous youth as they have learned their lesson in jail and will cease any criminal activities for the time being. After a period of time the released mischievous youth can take two paths, being involved with criminal activity again at a 40% chance or atoning for their crimes and becoming a non criminal youth with no ill-intentions at a 70% chance.

Simulation:

Relationship of Number of Criminal Youths and the Number Non-Criminal Youths:
This time series compares the number of criminal youths, mischievous youths, and non criminal youths for each following half year for 10 years in Bourke.

Number of Jailed Criminal Youths and Criminal Youths who have yet to be caught:
This time series compares the number of jailed criminal youths and criminal youths who have yet to be caught for each following half year for 10 years in Bourke.

Youths who have Failed to Atone and who have Atoned:
This time series compares the number of youths who have failed to atone after being released from jail and the number of youths who have been released from jail and have atoned Youths for each following half year for 10 years in Bourke.