Bourke Models

These models and simulations have been tagged “Bourke”.

Related tagsCrimeYouth

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.

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  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!

   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 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.  

  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!

​ 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
 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.
 
This model presents correlation between young people who finished University and young people who dropped University. Also, this model shows relationships among youth alienation, crime rate, police expenses, dysfunctional family and percentage of youth sent to jail and youth who were justified, re-e
This model presents correlation between young people who finished University and young people who dropped University. Also, this model shows relationships among youth alienation, crime rate, police expenses, dysfunctional family and percentage of youth sent to jail and youth who were justified, re-educated and found job through employment exchange.

Assumptions

This model presumes that the overal youth population of the town Bourke is 1 000 people.

Variables

Lack of financial resources

Changes their mind

Employment exchange

The level of these variables can be corrected. 
  MKT563: Assessment Item 4     Student Name: Christopher Brockman    Student ID: 1153 2934B        Insight Maker was used to model the impact of police enforcement and community development (TAFE, local gym and local soccer club) would have on illegal activities and crime rates of the adolescents i
MKT563: Assessment Item 4
Student Name: Christopher Brockman
Student ID: 1153 2934B

Insight Maker was used to model the impact of police enforcement and community development (TAFE, local gym and local soccer club) would have on illegal activities and crime rates of the adolescents in the town of Bourke. 
By examining relationships between various variables (eg local gym membership vs alienated adolescents), we can identify if an inverse relationship occurs between crime rates and community development in the town of Bourke.

About the model
As Bourke is a quiet country town, there is a tendency for a proportion of adolescents to become easily bored and alienated throughout their development. This model seeks to determine if there is any tangible benefits of establishing more community structures in an attempt to stimulate the adolescents to make positive changes in their lives (gym, education, sports).

It is assumed if the adolescents of Bourke are undertake a TAFE course, participating in a team or working on their fitness, less crime that will be committed in Bourke. There is a 18 month average in TAFE education (represented as a 10 month delay), to show that it will take time for the benefits of further community development to be reaped.


Variables/relationships
The variables are shown in boxes, and relationships are shown as arrows. Variables consist of:
  • Police Enforcement: As further police presence is established, it is expected that more crimes will be solved and will also act as a deterrent to not commit crime for the average adolescent.
  • Community Development: It is expected that there will be an inverse relationship between crime and community development.

Interesting parameters
As the user increases the values in the sliders, we see a trend of youth committing less crime (which also means less in juvenile detention). 

Conclusion
From the model, we can gather that community development is/would be highly effective in reducing crime rates by adolescents in Bourke. Further investigation is strongly recommended.


  Introduction     This model simulates the effects of (community
engagement expenditure); (policing expenditure); and (unemployment, alcohol,
drugs); on the population of Burke, NSW.     These variables can be manipulated for
policy makers to see how changes in community engagement and policing exp
Introduction

This model simulates the effects of (community engagement expenditure); (policing expenditure); and (unemployment, alcohol, drugs); on the population of Burke, NSW. 

These variables can be manipulated for policy makers to see how changes in community engagement and policing expenditure affect other parts of the community. Unemployment, alcohol and drugs are added in a variable that can be adjusted as these levels will change from year to year.


Assumptions

Burke Total Population: It is assumed that the total population of Burke is 10,000 people with 70% adults and 30% youth.


Initial Values

600 alienated people

480 people committing crime

250 people arrested awaiting Trial

500 people in Jail

1000 people active in Community Groups

6000 people living a Positive Lifestyle


Constants

20% of youth and adults will become disengaged with society

80% of alienated people are at risk of committing a crime

20% of alienated people become re-engaged in society by their own will

90% of those arrested are put in jail and 10% are not charged

80% of youth and adults join potentially will join community groups dependent on community engagement spend


Results


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AKHIL ARYA - 44680198

Justice Reinvestment in Bourke

 

Bourke is town with a population of 5000 people, that has limited offered to keep its community occupied. This has led to a lot of residents to result to mischief and violence, however, the town has had enough and decided that a change is required. Investment in both more policing and community activities is said to provide a drastic improvement in the quality of living in the suburb.  

 

The complex system designed here details the improvements that can be made and can assist in the decision making of whether more money should be invested into policing or community activities.

 

Assumptions:

<!--[if !supportLists]-->-       <!--[endif]-->The population of Bourke remains 5000 for the entirety of this model (for simplicity). NO births or deaths. NO moving in or out.

<!--[if !supportLists]-->-       <!--[endif]-->There will be a delay rate for personal convicted after they leave jail and rehab.

<!--[if !supportLists]-->-       <!--[endif]-->30% of offenders are released directly back to the community, while the remaining 70% will be transferred to rehab for rehabilitation.

<!--[if !supportLists]-->-       <!--[endif]-->All jail sentences are constant at 6 months (for simplicity)

 

Variables

<!--[if !supportLists]-->-       <!--[endif]-->Police: slider allows us to adjust the amount of policing involved in the town so we can observe the effect of changing police numbers corresponding to amount of crime committed. Range: 5 – 100.

<!--[if !supportLists]-->-       <!--[endif]-->Drugs and Alcohol: contribute to increase violence and crime being committed, therefore, maybe regulating the number of drugs and amount of alcohol that both minors and adults consume by police officers. Then hopefully crime can be reduced and even prevented. Range: 0 -20.

<!--[if !supportLists]-->-       <!--[endif]-->Community investment: this slider allows us to alter the amount of community investment that Bourke will invest in. Range: 0 – 1.

<!--[if !supportLists]-->-       <!--[endif]-->Sporting Investment: Sporting showed great results and improvements to the quality of living in Bourke. Keeping youths and adults occupied in rugby teams is a great time pass and great way to let off some steam for a lot of people. The slider allows us to observe the effect of these investments on the quality of living in Bourke. Range: 0 – 1.

Interesting Results:

Police Slider: 10

Drugs and Alcohol Slider: 17

Community Investment: 0

Sporting Investment: 0

With the sliders set at these numbers, we can observe a constant cycle between residents altering from jail and home, as the crime commit remains relatively constant (very slow descent).

 

Police Slider: 100

Drugs and Alcohol Slider: 17

Community Investment: 0

Sporting Investment: 0

With the police maxed out, the crime rate still remains relatively constant, will slight decrease but it being so small I can be considered insignificant. From this we can propose that without alternate activities for the residents of Bourke to get involved in, reforming and making a change to the suburb will be a very difficult. Investment into just policing can also be seen as not the best investment of money. 

<!--EndFragment-->
 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.
 
  Introduction     This model simulates the effects of (community
engagement expenditure); (policing expenditure); and (unemployment, alcohol,
drugs); on the population of Burke, NSW.     These variables can be manipulated for
policy makers to see how changes in community engagement and policing exp
Introduction

This model simulates the effects of (community engagement expenditure); (policing expenditure); and (unemployment, alcohol, drugs); on the population of Burke, NSW. 

These variables can be manipulated for policy makers to see how changes in community engagement and policing expenditure affect other parts of the community. Unemployment, alcohol and drugs are added in a variable that can be adjusted as these levels will change from year to year.


Assumptions

Burke Total Population: It is assumed that the total population of Burke is 10,000 people with 70% adults and 30% youth.


Initial Values

600 alienated people

480 people committing crime

250 people arrested awaiting Trial

500 people in Jail

1000 people active in Community Groups

6000 people living a Positive Lifestyle


Constants

20% of youth and adults will become disengaged with society

80% of alienated people are at risk of committing a crime

20% of alienated people become re-engaged in society by their own will

90% of those arrested are put in jail and 10% are not charged

80% of youth and adults join potentially will join community groups dependent on community engagement spend


Variables

Community Engagement Expenditure can be raised to increase the amount of youth and adults joining a community group which can lead to a positive lifestyle.

The Unemployment, Alcohol and Drugs variable can be changed to effect the rate at which disengaged people become alienated from society.

The Policing Expenditure variable can be changed to effect the number of people being arrested and also going to jail. 


Outcomes


  Introduction     This model simulates the effects of (community
engagement expenditure); (policing expenditure); and (unemployment, alcohol,
drugs); on the population of Burke, NSW.     These variables can be manipulated for
policy makers to see how changes in community engagement and policing exp
Introduction

This model simulates the effects of (community engagement expenditure); (policing expenditure); and (unemployment, alcohol, drugs); on the population of Burke, NSW. 

These variables can be manipulated for policy makers to see how changes in community engagement and policing expenditure affect other parts of the community. Unemployment, alcohol and drugs are added in a variable that can be adjusted as these levels will change from year to year.


Assumptions

Burke Total Population: It is assumed that the total population of Burke is 10,000 people with 70% adults and 30% youth.


Initial Values

600 alienated people

480 people committing crime

250 people arrested awaiting Trial

500 people in Jail

1000 people active in Community Groups

6000 people living a Positive Lifestyle


Constants

20% of youth and adults will become disengaged with society

80% of alienated people are at risk of committing a crime

20% of alienated people become re-engaged in society by their own will

90% of those arrested are put in jail and 10% are not charged

80% of youth and adults join potentially will join community groups dependent on community engagement spend


Results


 Background   This model portrays the patterns in crime and the community development within the youth of Bourke. It demonstrates the affect of community and police can have on a community.  The community is willing to invest into police and a community center to benefit the community. It is trying
Background

This model portrays the patterns in crime and the community development within the youth of Bourke. It demonstrates the affect of community and police can have on a community.  The community is willing to invest into police and a community center to benefit the community. It is trying to reduce the crime rate of the youth due to boredom and their aim is to see the benefits of having a community club. Through the model you are able to see the benefit of an increase of community investment or police or both.

Description of Model

- The model begins of a population of 1000 youth in Bourke.

- 60% of the youth are criminals.

- The convicted youth depends on the conviction rate which is reflective of the police expenditure.

- The conviction rate is at 50% though with police involvement it is increased by 10%.

- 60% of convicted criminals are released without rehabilitation.

- The remainder of convicted criminals that are rehabilitated depends on the amount of community investment.

- 40% of the youth that attend the community club are 60% less likely to end up in rehabilitation.

Adjustable Variables

Community Investment:
- From 0-100
- Effective for community club use and decrease in crime rate

Police:
-From 10-70
-There will always be the use of police in a city, though the police cannot have an uneven ratio to population.

Conviction Rate:
-From 10-70
-There will always be conviction though through the use of police try to be the minimal as possible.

Assumptions

-The population of youth is 1000.

-Only youth are commiting crime.

-There is no increase of individual risk.

-The use of community club will involve youth and decrease their crime rates.



  Introduction     This model simulates the effects of (community
engagement expenditure); (policing expenditure); and (unemployment, alcohol,
drugs); on the population of Burke, NSW.     These variables can be manipulated for
policy makers to see how changes in community engagement and policing exp
Introduction

This model simulates the effects of (community engagement expenditure); (policing expenditure); and (unemployment, alcohol, drugs); on the population of Burke, NSW. 

These variables can be manipulated for policy makers to see how changes in community engagement and policing expenditure affect other parts of the community. Unemployment, alcohol and drugs are added in a variable that can be adjusted as these levels will change from year to year.


Assumptions

Burke Total Population: It is assumed that the total population of Burke is 10,000 people with 70% adults and 30% youth.


Initial Values

600 alienated people

480 people committing crime

250 people arrested awaiting Trial

500 people in Jail

1000 people active in Community Groups

6000 people living a Positive Lifestyle


Constants

20% of youth and adults will become disengaged with society

80% of alienated people are at risk of committing a crime

20% of alienated people become re-engaged in society by their own will

90% of those arrested are put in jail and 10% are not charged

80% of youth and adults join potentially will join community groups dependent on community engagement spend


Variables

Community Engagement Expenditure can be raised to increase the amount of youth and adults joining a community group which can lead to a positive lifestyle.

The Unemployment, Alcohol and Drugs variable can be changed to effect the rate at which disengaged people become alienated from society.

The Policing Expenditure variable can be changed to effect the number of people being arrested and also going to jail. 


Outcomes

With the variables set at minimum Unemployment, Alcohol and Drugs and maximum Community Engagement Expenditure and Policing Expenditure we see the level of crime and people in jail fall to near zero and positive lifestyle surge upwards.

An increase in the Unemployment, Alcohol and Drugs variable to 10% shows crime and people in jail increase but the ratio of people engaged in community groups is much higher.

A drop in Community Engagement Expenditure and Policing Expenditure to 50% shows a sharp increase in the amount of alienation which increases the amount of crime and then people in jail.

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.


Recommendations

If unemployment, Alcohol and Drugs remain at 10%, then maximum amounts of expenditure on Community Engagement and Policing will have the best results for people living a positive lifestyle in Bourke.


   Aim   The purpose of this model is to show how investments in community programs can positively influence the population in Bourke. It models the cycle between crime and conviction in key groups such as adults and young people. It simulates the impact of community development and alienation over
Aim
The purpose of this model is to show how investments in community programs can positively influence the population in Bourke. It models the cycle between crime and conviction in key groups such as adults and young people. It simulates the impact of community development and alienation over a period of time.

Assumptions
This model assumes Bourke has a population of 3000 people, with 60% being adults and 40% are young people. It only simulates the relationship between adults and domestic violence as that is the main concerning issue.

Variables
Police Presence: negative reinforcement. The amount of resources put into policing (deterrence) determines whether individuals will commit crimes.
Alienation: the rate at which people involved in community programs will disconnect from their associated groups.
Community Development: the amount of government initiatives established to support community programs encourages individuals to participate.
Conviction: proportion in which individuals get convicted

Patterns

When the effect of alienation and police presence is limited (0.2-0.3) and conviction rate is maxed out (1), investing in a minimal amount of community development (at least 0.3) will encourage some community cohesion and reduce the possibility of crimes, to a limited extent.

Further increasing deterrence strategies in Bourke through policing will significantly reduce crime and also the number of convictions.

Suggestions
Conviction (1), Community Development (0.3 and 0.7 vice versa), Police (0.7 and 0.3 vice versa), Alienation (0.3)

The impact of significant police presence can suppress crime but does not support youths to be part of the community.
The effect of major community development increases individuals to participate in community but the crime rate suffers, especially in the initial period. In the long term however, crime rates eventually drop.
A combination of these would be ideal.

This model mainly describes the situation of juvenile crime in Bourke.  Lack of education among adolescents leads to an increase in juvenile delinquency and eventually becomes a criminal, and these young people are improved through justice reinvestment projects.   the level of education and punishme
This model mainly describes the situation of juvenile crime in Bourke. 
Lack of education among adolescents leads to an increase in juvenile delinquency and eventually becomes a criminal, and these young people are improved through justice reinvestment projects.
the level of education and punishment can affect the number of criminals
   Aim   The purpose of this model is to show how investments in community programs can positively influence the population in Bourke. It models the cycle between crime and conviction in key groups such as adults and young people. It simulates the impact of community development and alienation over
Aim
The purpose of this model is to show how investments in community programs can positively influence the population in Bourke. It models the cycle between crime and conviction in key groups such as adults and young people. It simulates the impact of community development and alienation over a period of time.

Assumptions
This model assumes Bourke has a population of 3000 people, with 60% being adults and 40% are young people. It only simulates the relationship between adults and domestic violence as that is the main concerning issue.

Variables
Police Presence: negative reinforcement. The amount of resources put into policing (deterrence) determines whether individuals will commit crimes.
Alienation: the rate at which people involved in community programs will disconnect from their associated groups.
Community Development: the amount of government initiatives established to support community programs encourages individuals to participate.
Conviction: proportion in which individuals get convicted

Patterns

When the effect of alienation and police presence is limited (0.2-0.3) and conviction rate is maxed out (1), investing in a minimal amount of community development (at least 0.3) will encourage some community cohesion and reduce the possibility of crimes, to a limited extent.

Further increasing deterrence strategies in Bourke through policing will significantly reduce crime and also the number of convictions.

Suggestions
Conviction (1), Community Development (0.3 and 0.7 vice versa), Police (0.7 and 0.3 vice versa), Alienation (0.3)

The impact of significant police presence can suppress crime but does not support youths to be part of the community.
The effect of major community development increases individuals to participate in community but the crime rate suffers, especially in the initial period. In the long term however, crime rates eventually drop.
A combination of these would be ideal.

 ​Background:  The following model portrays the patterns of crime and community development in Bourke. Bourke is a town with exceptionally high rates of crime, especially within the youth population. The model created shows the methods taken to allow more community investment and more level of law e
​Background:
The following model portrays the patterns of crime and community development in Bourke. Bourke is a town with exceptionally high rates of crime, especially within the youth population. The model created shows the methods taken to allow more community investment and more level of law enforcement (or the combination of both).
 

Underlying Assumptions:

Bourke total population: 2,973 (2014 ABS)

Bourke total youth population: approx 1000 (Based on 2014 ABS, individuals aged between 0-24 Which correlates to approximately 35.2% of the Total Population)

Budget: $4,000,000

Youth population has been sourced from: http://stat.abs.gov.au/itt/r.jsp?RegionSummary&region=11150&dataset=ABS_REGIONAL_LGA&geoconcept=REGION&datasetASGS=ABS_REGIONAL_ASGS&datasetLGA=ABS_REGIONAL_LGA&regionLGA=REGION&regionASGS=REGION

The Assumption of the model is that we begin with a population of young individuals who are neither criminal or non-criminal/committed the crime. Based on this idea, 250 of these individuals are currently incarcerated and 250 are currently committing crime though when simulated the model will illustrate how Law enforcement spending, community investment can impact Bourke's youth population.


Furthermore, after conducting some research, it can be concluded that based on several sources such as (https://www.linkedin.com/pulse/criminology-can-lack-education-linked-incarceration-nigel-wade) and (https://hilo.hawaii.edu/academics/hohonu/documents/Vol07x03TheCauseofCrime.pdf)
That lack of education such as tafe or career skills can lead to increasing crime rates as important social skills can be developed in schooling.

The Sliders of this complex system represent the extent of spending by Law Enforcement, community investment
Parameters: 
  1. Community Investment
  2. Law Enforcement

Adjusting spending of these parameters will present different results and different relationships.

About this Model:

  • The Units of measure has been set to months
  • Simulation Length is set to 48 months
  • It must be mentioned that it takes approximately 6 months before youth are sufficiently engaged
  • The flow committed is a negative relationship, therefore the lower the level of law enforcement chosen, the greater the level of crime will be committed
  • Similarly, incarcerated into prison will be based on the level of enforcement, if greater law enforcement is applied, there will be more individuals incarcerated and put into prison, vice versa, the less law enforcement applied, more crime will go unnoticed.
  • Attending Tafe/education relies of the level of community investment spent by the government, If the state government decided to invest more into the community, more youth population will be attending Tafe, though in contrast if less is spent towards Tafe/Eduction, less engagement will occur with the youth population
  • Tafe/Education is directly linked with the level of crime committed, if more youth population attends tafe/education due to increase in community investment, less crime will be committed. Though, Consequently, the less youth population who attends Tafe/education, the more they will potentially engage in committing a crime.
  • During periods of high attendance, it was evident that crime rate would drop, though when tafe/education levels have drops to 0 (0 level assumes that youth population either finished the course or left early), crime begins to increase again.
Interesting Simulations

  • Increasing Community and Law Enforcement to high levels, crime rate decreases and prison rate would naturally increase. Though there seems to be large drops in youths in the town, this can be associated with the large level of community investment as the youth would potentially be in Tafe/Educations during those periods
  • When simulating with Law Enforcement set to about half way (25) and community investment at 50-70, Tafe/Education begins to severely increase on simulations but has period of decline, which can be linked to completion of course or leaving. During the spike of Tafe/education, crime is quite low, though when it begins to decline, crime starts to once again increase (Tafe/Education vs Crime)
  • Another interesting simulation is interaction of youth within community sports. Their is allocation for sports spending for youth to help them engage in positive activity in order to avoid crime. By adjusting sports investment it was evident that crime committed was impacted. The most investment into sports, the lower level of crime is committed, if we reduce sports investment, we can see that crime committed begins to increase
  • Looking at the Released simulation, we acknowledged that is takes approximately 6 months for youth to properly be engaged, so this makes perfect sense that after 6 months, less prisoners are being released as less crime is being committed due to community sports and Tafe/Education
Final Conclusions:

It seems Crime is impacted by many factors such as Tafe/education and community sports. Though the level of crime fluctuates using the parameters, Law Enforcement, Community investment.
By increasing any of these parameters, you will begin to see crime reduce as youth are occupied with other activities in their lives.

Law enforcement does assist with crime but it more so allows less crime to go unnoticed (return) as prison intake increases because more youth are being caught and incarcerated. 

 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.
 
  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. 
  Etienne Crouche-McDonald's Youth Alienation in Bourke Model    Assignment #3: Complex Systems       About the Model   The purpose of this model is to show how police and community spending effect engagement levels and crime for the youth within Bourke and how it affects their adult life.      Stoc
Etienne Crouche-McDonald's Youth Alienation in Bourke Model
Assignment #3: Complex Systems

About the Model
The purpose of this model is to show how police and community spending effect engagement levels and crime for the youth within Bourke and how it affects their adult life.

Stocks
Bourke Youth
The initial population of the youth within Bourke. 
The latest population figures show Bourke has a poulation of close to 3000, with 35% of them being below 24yrs old, so for this model i have assumed an initial youth population of 1000.
All other variables have an initial value of 0.
Engaged Youth
Youth within Bourke who are engaged with the community and at a low risk of commiting crime.
Alienated Youth
Youth within the community who feel alienated and therefore at a higher risk of commiting crime.
Jailed Youth
Youth who have been incarcerated.
Released Youth
Those who have been released from jail.
Engaged Adults
Those who have grown up to become adults who are at a low risk of commiting crime.
Disengaged Adults
Those who have grown up to become adults at a high risk of commiting crime.

Variables
Police Spending
This is how much funding the police department is recieving. The user is able to adjust this with the slider below.
Its affect on Jailed Youth and Released Youth becomes stronger as the number of Jailed Youth increases.
Community Spending
This is how much funding is going into community programs. The user is able to adjust this with the slider below.
Its effect on Engaged Youth becomes stronger as the number of Engaged Youth increases.
Births
This is the rate of births which i have assumed to be 100 per year. This is fixed so there is a constant flow into Bourke Youth.
Ageing
This is the rate at which the youth ages out of the youth category. I have set this as a constant. 
- 10% of Engaged youth age out every year.
- 5% of Alienated and Jailed youth age out every year.

Interesting Results
1. Set both sliders to 1 and it will more disengaged adults than engaged.
2. Set both sliders to 0.5 and it will show more engaged adults than disengaged

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.