Bourke | Insight Maker

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:

Community Investment
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.

Clone of assignment3 bourke_43658083

Pavel Burmakin

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

the Model of Young community member in Bourke -11678182 Ziwei Zhang

Ziwei Zhang

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:

- The population of Bourke remains 5000 for the entirety of this model (for simplicity). NO births or deaths. NO moving in or out.

- There will be a delay rate for personal convicted after they leave jail and rehab.

- 30% of offenders are released directly back to the community, while the remaining 70% will be transferred to rehab for rehabilitation.

- All jail sentences are constant at 6 months (for simplicity)

Variables

- 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.

- 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.

- Community investment: this slider allows us to alter the amount of community investment that Bourke will invest in. Range: 0 – 1.

- 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.

Bourke Assignment 3 - MGMT220

Akhil Arya

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.

THE TOWN OF BURKE - How does Community Engagement and Policing Expenditure effect the community with varying unemployment and alcohol and drug use.

Duncan Hill

7

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 of Bourke's crime problem

Yu Mao

Assignment 3: Complex Systems

Jason Nguyen 43711448

Justice Reinvestment in Bourke

Insight maker was used to model the effects that community development (in the form of TAFE Funding) and extra policing had on the petty crime and juvenile detention rates for the youth of Bourke.

By examining trends in certain relationships associated with the youth of Bourke (i.e. trade skill effectiveness vs. crime rates), we can assume that they parallel with adult community development programs should they be implemented.

About the model

The model works with the youth of Bourke having temptation to commit petty crime (i.e. stealing, assault), since there is not much to do in the town. The amount of crime committed is largely influenced by the amount of TAFE funding and policing implemented.

However, not all youth who commit crime are caught. Those who are caught are sent to juvenile detention, where they serve 6 months (not representative of all crimes, but is the average). A delay represents the 6 months in juvenile detention.

The justice reinvestment plan in Bourke will focus on implementing trade skills via TAFE that the youth can partake in. It is assumed that the more youth that undertake a trade skill, the less crime that will be committed in Bourke. There is a 6 month period where the youth become satisfied with learning the trade skill (represented as a delay), and crime is reduced.

The simulation presents results on 4 types of relationships and their trends. They consist of the default view, trade skill effectiveness on juvenile detention, trade skill effectiveness on crime, and policing vs. caught and not caught rates.

Variables/relationships

The variables are shown in yellow, and relationships are shown as arrows. Variables consist of:

TAFE Funding: As TAFE Funding increases, the amount of youth that undertake a trade skill increases, and crime rates decrease conversely.
Policing: As policing increases, the amount of youth committing crime decreases, while the amount of youth that are caught committing crime and sent to juvenile detention increases.

What is important to note is that any changes to the fixed variables/relationships in this model will cause incorrect simulation of the model for the user. This is because the variables/relationships relate directly to the information produced.

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).

The TAFE funding variable seems to have a greater impact on decreasing crime rates rather than the policing variable.

For example: Set the sliders to these values:

Policing: 25
TAFE Funding: 26

Look at the trade skills vs. juvenile detention simulation. We can see crime rates rise when trade skills aren't largely funded. Then, increase TAFE Funding to 75. Notice that juvenile detention is very low and stays consistently low.

Important notes

The youth that are caught by police and sent to juvenile detention are released 6 months later.
After undertaking a trade skill at TAFE, the youth are engaged for a 6 month period.
These periods are both represented by delays.
No other factors are currently being implemented to reduce crime rates for youth.
The community development program (TAFE funding) and policing effectiveness are assumed to parallel the same effect on the adult population of Bourke. Therefore, we don't need to visually show the adult population.

Conclusion

From the model, we can gather that TAFE funding is highly effective in reducing crime rates in the youth of Bourke.

Assignment3_JasonNguyen_Bourke

Jason Nguyen

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.

44854730 - Justice Reinvestment Framework Model for Bourke

Josh Stevens

This is a model designed to demonstrate the effects of policing and community development/engagement programs on the youth of Bourke, by simulation the state of the community at different levels of both policing and the programs.

Variables:

There are 6 stocks and 2 variables.

The stocks are arranged to represent the different options for the youth in Bourke. Their options are; don't commit a crime; do commit a crime and risk being convicted; or take part in various community development/engagement programs available.

The 2 variables are Police and Community Development Fund, both are adjustable via the sliders to the right hand side, and represent 2 of the major forces acting on the youth's choices.

Suggestion:

The aim of the model is to emphasize the overall importance of community development/engagement programs for youths in Bourke.

To see the impact these programs can have adjust the sliders:
     . 100 Police and 0.1 Community Funds - This will show the negative effect of severe law enforcement as a larger number of youths end up in juvenile detention.

     . 100 Police and 100 Community Development Funds - This will show the improvement in the community compared to the last suggestion as more youths are in the programs helping them rather than juvenile detention.

     . 10 Police and 200 Community Development Funds - This will show that almost all youths end up in the programs helping them and very few in juvenile detention. This further illustrated the point made before about the importance of these programs in Bourke.

Assignment 3 44906064

Arvindhan Gopal Punitha

Bourke's Justice Reinvestment Options

Bourke consists of a community of 3000 people; 1000 being adults, and 2000 being youth.

This model presents the Youth and Adults from the Bourke and the estimated arrest rates for whether Bourke’s Justice Reinvestment program chooses to increase punishment for crime, or invest in prevention programs to help the community better themselves and avoid trouble. The overall aim is to reduce imprisonment.

Variables such as ‘Arrest rate for Increased Punishment for Youth’ and ‘Arrest rate for Increased Punishment for Adults’ are integrated to show the arrest rates over time when there is an increase in punishment and more policing. Variables such as ‘Arrest rate for Prevention for Youth’ and ‘Arrest rate for Prevention for Adults’ are integrated to show the arrest rates over time when preventative measures have been put in place. All variables are given an estimated rate, though the rate is not fixed and viewers are able to adjust the rates using the appropriate slider bars, as limited information has been provided at this given time in relation to the specified rates.

The slider bars for the youth have been given a range of -2000 to 2000 as the population of youth is 2000 and those are the limits. Same applies to the slider bars specified for the adults, though here the limit is from -1000 to 1000.

By setting parameter settings to a value lower than 0, you will start to see a decline in arrests. By setting the parameter over 0 you will see an increase.

Stocks have been colour coded to represent their lines shown in the simulated graph.

Victoria Jakubowski 43300936

Victoria Jakubowski

Shriya Ghai, 44110081

Crime Rate in Bourke

This model seeks to examine how the Youth and Adult of Bourke affects the police expenditures and community expenditures. The model is depicting about two different categories, i.e Youth and Adult but are connected by two variables i.e. Expenditure on Community Activities and Police.

Bourke : 3000

(I have assume that there are a high number of Adult as compared to Youth in Bourke)

Adult :2000

Youth:1000

Expenditure on Community Activities: 66

Police: 81

Youth Crime Rate : 0.6

Adult Crime Rate: 0.4

(Assuming that crime committed by Youth is more than crime committed by Adult)

About The Graph:

Youth commits crime and gets convicted but not everyone. The convicted ones are sent to detention where they spend their detention period and are released after that. There are some who improve after this period but there are also some people who recommits crime. Youth are registers/gets involved in various Community activities.

If people in Bourke take part in community activities, if will be good for them. Government is investing in community activities and police so that the crime rate decreased and more and more people get involved in different activities.

Also, there are two sliders; Police and Expenditure on Community Activities. We observe that if we increase the number of police, there is a significant decrease in crime rate. Feel free to use the sliders and observe how the crime rate and community engagement/activities changes.

Assignment 3

Shriya Ghai

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.

Clone of Impact of Social Services and Police on Youth Crime

Srinivas Nalla

This insight illustrates the relationship between the funding of policing and community development initiatives, to reduce crime rates in Bourke, NSW.

The insight categorises community members into four groups:

'At risk community members' are individuals who have been identified as likely to commit crime.

'Charged' community members are individuals who have committed a crime, have been caught and charged.

'Community development program members' are individuals who have been identified as at risk, but have also been selected to take part in a community development progam.

'Community members' are individuals who are not classified as at risk.

This insight shows the process of how individuals transfer between categories, with finance as the independent variable. Finance can be altered from a minimum of $250,000 to a maximum of $1,000,000. The finance variable can be altered using the total finance slider located on the right hand side.

Assumptions

Here is a list of assumptions made about this scenario. Assumptions are also found in the story of this insight.

*Bourke comprises of 3000 individuals. 2750 are classified as at risk and 250 as community members at time 0

*The average jail sentence is two years

*The government pays $1,000 per year for each individual who is charged and jailed

*The average cost of a community development program is $4,000 per year, per individual

*The average individual will relapse and commit a crime or be rehabilitated within three years

Affect of Funding on Policing and Community Development Initiative in Bourke, NSW

Natalie Doig

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.

Clone of Model of Bourke's crime problem

Ray Madachy

Bourke is a remote town in NSW with a population of 2634 people. In 2013 crime figures from Bourke showed the highest assault, break-ins and car theft rates in NSW with crime spikes mostly occurring during nights and school holidays. Over the past five years, the Aboriginal Community has come together to trial a model for change, called Just Reinvest.

This model illustrates the relationship between Community Factors (which includes social disadvantage, economic issues, family trauma) on Disengaged Youth, Crime and the impact of the Just Reinvest Program. This model particularly illustrates the complexity of factors on outcomes and how factors are interrelated making crime a wicked problem that is not easily viewed in isolation from the socio-economic and social causes.

Stocks

Youth in Burke is set based on Australian Bureau of Statistics levels but is easily modified to track population changes on modelling

Disengaged Youth are those with problematic behaviour

Crime Levels are those Disengaged Youth who go on to commit a crime

Early Intervention Programs are those run through Just Reinvest as part of the community program - the quantity of these can be adjusted.

Data of Note

- Economic Impact is five times cost of running the program

- Justice Impacts are roughly 66% and Non-Justice Impacts make up the remaining 33%.

Assumptions
While the UN defines "Youth" as 15 - 24 year olds, the KPMG report outlines programs for 10 - 24 year olds therefore in the context of Bourke the 10 - 24 year old age bracket is considered "Youths". This has been rounded to 700 people (ABS 2016 Census).

- It is estmated 70% of Bourke Youths will have problematic behaviour with 50% of those going on to commit a crime and be caught

- Cost of Early Intervention Youth Program is estimated at $100 per person per crime

Conclusion

While this model shows the impacts and benefits of additional funding on early intervention programs and the flow on affects this has on crime, it does not take into account the underlying cultural and social disadvantage issues that are often motivators for crime nor does this model take into account issues such as cultural prejudice and bias, over-policing or additional early intervention methods.

Relationship between Youth Alienation, Police and Community Development in Bourke

Lauren Phillips

Introduction

This model illustrates the simulation of a range of variables which have an effect within the country town of Bourke. Bourke is known for its high crime right from youths to adults. Through adjustments made by the user, this model will show the result of such variations.

Bourke has a youth population under the age of 24 to be roughly 1000 people. For the sake of this experiment numbers have been slightly skewed to better reinforce various simulations. However, the information has been been skewed to the fact that there are going to be unrealistic results.

The variable which have sliders allowed are, Police Intervention, Drugs and Alcohol, Community Works, Activity Investment. While developing this model, through examination, it was found that these are the numbers that fluctuate the most in most scenarios, so why not keep it consists. Police presence is something that will always either increase or decrease depending on certain events which are scheduled to be on. The fluctuation of drugs and alcohol speaks for itself, as there is no way of knowing how much of either substance is readily available.

Community Workers, is set at 70, with the option of sliding it in which ever direction the user desires. Similarly, to police intervention, depending on events the level can significantly fluctuate. Activity Investment has a relationship with Community workers and Police Intervention. Increased volume in people results in increased investment.

Interesting Slides

After playing around here are some interesting variations you can make.

--> Police Intervention: Max, Drugs and Alcohol: min, Community workers: Max, Activity Investment: Max. The worm here shows a perfect situation of almost complete harmony within the community. I believe an increase in Police presence, Community works and activity investment will ultimately deter crime and antisocial behaviour in Bourke.

--> Do the opposite maxs and mins from the above test. With the increase in Drugs and Alcohol and minimisation of the other variables, we can see how volatile it makes the community. The worms for all stocks are aggressively up and down.

--> i have gone to the liberty of creating a display for you(the Viewer) at crimes committed while drug use has been present, however the person has gone straight to rehab and not to Jail.

Assumptions

1.The population of Bourke is 5000

2.The process of crime to Detention/Rehab, is the same for Youths and Adults.

3. In the Youth and Adult Detention Stock, the youths are separated from adults

4. Adults and youths can go straight to Rehab and not go to Jail.

Slide away and enjoy.

-Ned Robinson

MGMT220Ass3 44926855

Edward Robinson

This model simulated possible crime rates of youths in Bourke.

Crime, Policing and Community Programs involving Youths in Bourke

Lauren Attwood

MKT563, Assessment 4

Uranchimeg Byambajav

Student No: 11728701

About the Model:

The aim 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 number of resources put into policing 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.

References:

Alexander, H. (2019, May 29). How NSW town labelled 'most dangerous in world' changed its destiny. Sydney Morning Herald. https://www.smh.com.au/national/nsw/how-nsw-town-labelled-most-dangerous-in-world-changed-its-destiny-20190527-p51ri6.html

Allam, L. (2018, October 9). Unique community policing sees crime rates plunge in Bourke. The Guardian. https://www.theguardian.com/australia-news/2018/oct/09/unique-community-policing-sees-rates-plunge-in-bourke

Australian Bureau of Statistics. (2016). Census Data for Bourke (A). https://quickstats.censusdata.abs.gov.au/census_services/getproduct/census/2016/quickstat/LGA11150?opendocument

KPMG Impact Assessment. (2018). Maranguka Justice Reinvestment Project. https://www.justreinvest.org.au/wp-content/uploads/2018/11/Maranguka-Justice-Reinvestment-Project-KPMG-Impact-Assessment-FINAL-REPORT.pdf

Thompson, G., McGregor, L., & Davies, A. (2016, September 19). Backing Bourke: How a radical new approach is saving young people from a life of crime. ABC News. https://www.abc.net.au/news/2016-09-19/four-corners-bourkes-experiment-in-justice-reinvestment/7855114

Uranchimeg Byambajav 11728701 Policing and Community Development in Bourke

Uranchimeg Byambajav

This is a model designed to demonstrate the effects of policing and community development/engagement programs on the youth of Bourke, by simulation the state of the community at different levels of both policing and the programs.

Variables:

There are 6 stocks and 2 variables.

The stocks are arranged to represent the different options for the youth in Bourke. Their options are; don't commit a crime; do commit a crime and risk being convicted; or take part in various community development/engagement programs available.

The 2 variables are Police and Community Development Fund, both are adjustable via the sliders to the right hand side, and represent 2 of the major forces acting on the youth's choices.

Suggestion:

The aim of the model is to emphasize the overall importance of community development/engagement programs for youths in Bourke.

To see the impact these programs can have adjust the sliders:
     . 100 Police and 0.1 Community Funds - This will show the negative effect of severe law enforcement as a larger number of youths end up in juvenile detention.

     . 100 Police and 100 Community Development Funds - This will show the improvement in the community compared to the last suggestion as more youths are in the programs helping them rather than juvenile detention.

     . 10 Police and 200 Community Development Funds - This will show that almost all youths end up in the programs helping them and very few in juvenile detention. This further illustrated the point made before about the importance of these programs in Bourke.

Clone of Assignment 3 44906064

fredrick cm

This is a model designed to demonstrate the effects of policing and community development/engagement programs on the youth of Bourke, by simulation the state of the community at different levels of both policing and the programs.

Variables:

There are 6 stocks and 2 variables.

The stocks are arranged to represent the different options for the youth in Bourke. Their options are; don't commit a crime; do commit a crime and risk being convicted; or take part in various community development/engagement programs available.

The 2 variables are Police and Community Development Fund, both are adjustable via the sliders to the right hand side, and represent 2 of the major forces acting on the youth's choices.

Suggestion:

The aim of the model is to emphasize the overall importance of community development/engagement programs for youths in Bourke.

To see the impact these programs can have adjust the sliders:
     . 100 Police and 0.1 Community Funds - This will show the negative effect of severe law enforcement as a larger number of youths end up in juvenile detention.

     . 100 Police and 100 Community Development Funds - This will show the improvement in the community compared to the last suggestion as more youths are in the programs helping them rather than juvenile detention.

     . 10 Police and 200 Community Development Funds - This will show that almost all youths end up in the programs helping them and very few in juvenile detention. This further illustrated the point made before about the importance of these programs in Bourke.

Clone of Clone of Assignment 3 44906064

fredrick cm

BACKGROUND

The remote north-western town of Bourke currently faces high incidences of petty crime among the town’s youth.

Part of the problem stems from the alienation and lack of recreational activities the youth face from being a small isolated town, which has meant that the threat of being sent to Juvenile Detention isn't acting as much of a deterrent.

This complex systems model aims to show how investing in different variables can change this cycle.

While there are numerous underlying factors that perpetrate the cycle of Bourke youth being locked up, this model has a main focus on Youth Alienation

MODEL EXPLAINED

Simulation of this model shows results over 3 years with Time Units in steps of 1 Month.

Total Youth Population of Bourke stays static at 1200 over the 3 years.

This model only looks as Individuals committing petty crimes as opposed to groups of Youth getting together to commit petty crime (we are not considering peer pressure as a factor of petty crime rates).

At Time Point 0, all 1200 of Bourke Youth are in the Stock Home, and all other stocks are empty. Youth flow out from Home to other stocks from Time Point 1.

STOCKS

- Home = Number of Bourke youth at 'Home'.

i.e. not committing crimes but not taking part in Community Engagement Programs

- Community Engagement Programs = Number of Bourke Youth taking part in Bourke's Community Engagement Programs.

Community Engagement Programs consist of multiple things such as Sporting Clubs and Indigenous Community Events

- Petty Crime = Number of Bourke Youth committing Petty Crimes.

- Juvenile Detention = Number of Bourke Youth in Juvenile Detention.

- Discharged = Number of Bourke Youth in state of being Discharged from Juvenile Detention.

- Upstanding Citizen = Number of Bourke Youth that are Upstanding members of the Bourke Community.

ADJUSTABLE VARIABLES

- Community Development Resource $ = Amount of Money being Invested into Community Development

i.e. 15000 = $15000 into Community Development Fund

- Police Officers = Number of Police Officer in Bourke

i.e. 15 = 15 Active Police Officers

- Police Initiative Rate = % Amount of Investment Police put into active Policing. (AKA Police efficiency)

i.e. 0.1 = 10% effectiveness (police appear to be corrupt)

UN-ADJUSTABLE VARIABLES

- Positive Influences at Home = % of Bourke Youth that have strong enough Positive Social Influences at Home to not want to commit crimes.

Positive Influences at Home is a constant 0.5% percent.

Assumptions:

0.5% of the juvenile population of Bourke already have strong positive social influences at home that have them highly unlikely to want to commit petty crimes.

Positive Influences at Home is a fixed variable as the factors affecting this % are too complex for any reliable intervention.

- Boredom & Recklessness = % of Bourke Youth that are Bored and Reckless enough to want to commit crimes.

Boredom and Recklessness is a constant 5%.

Assumptions:

5% of the juvenile population of Bourke is always going to be bored/reckless enough to want to commit petty crimes.

DYNAMIC VARIABLES

- Youth Alienation = % of Bourke Youth that feel Alienated/have no sense of community.

Youth Alienation is a dynamic percentage.

Assumptions:

Community Development Program and Upstanding Citizen decreases Alienation. Everyone who partakes in the community engagement programs is unalienated. All Upstanding Citizens are unalienated.

Before taking into account those people that are in the Community Development Program and Upstanding Citizen stocks we assume that 90% of the Bourke youth population to be Alienated.

i.e. when Upstanding Citizen and Community Engagement Programs are both empty, Youth Alienation = 90%

FLOWS

- Community Involvement (Dynamic Rate)

For every $1000 invested into Community Development Resource $, the rate of flow from Home to Community Engagement Programs increases by 2%.

The rate of flow from Home to Community Engagement Programs also is dependent on the attendance of youth to Community Program itself (word of mouth advertising). For every 50 children coming to Community Engagement Programs we have a percentage increase in Community Involvement rate.

- Lack of Interest (Constant Rate)

Flow rate from Community Engagement Programs to Petty Crime is simply the % rate of the Boredom & Recklessness variable.

- Temptation (Dynamic Rate)

Flow rate from Home to Petty Crime is dependent on the 4 Variables of Youth Alienation, Boredom & Recklessness, Police Officers and Police Initiative Rate.

Youth Alienation and Boredom & Recklessness increase Temptation Flow.

Police Officers and Police Initiative Rate decrease Temptation Flow.

Temptation flow is also reduced by the 0.5% Positive Influences at Home

- Conviction (Dynamic Rate)

Flow rate from Petty Crime to Juvenile Detention is dependent on the 2 variables Police Officers and Police Initiative Rate.

Police Officers and Police Initiative Rate increase Conviction Flow.

- Not Caught (Dynamic Rate)

Flow rate from Petty Crime back to Home is dependent on the Conviction Flow Rate.

Increased Conviction Flow is directly proportional to a Decrease in the Not Caught Flow.

- Served Sentence (Constant Rate)

Flow rate from Juvenile Detention to Discharged is just a delay of Juvenile Detention population by 4 months.

Assumption: The average Petty Crime Conviction results in a 4 month Juvenile Detention Centre Sentence.

- Further Negative Influence (Constant Rate)

Flow rate from Discharged to Petty Crime is a constant 25%.

Assumption: There is a constant 25% of Youth that having been convicted once are actually more likely to commit petty crimes (for various reasons) and are no longer wary of Police.

- Active Rehabilitation (Dynamic Rate)

Flow rate from Discharged to Community Engagement Programs is dependent on the Community Development Resource $ variable.

Community Development Resource $ encourage Discharged Youth to want to change their ways.

For every $2000 invested into Community Development Resource $'s Active Rehabilitation Rate increase a percent.

- Unchanged (Dynamic Rate)

Flow rate from Discharge to Home is dependent on Active Rehabilitation Rate and Further Negative Influence Rate.

Increased Active Rehabilitation Flow is directly proportional to decrease in the Unchanged Flow.

Unchanged Flow is also reduced by the Further Negative Influences Flow of 25%.

- Inspired (Constant Rate)

Flow rate from Home to Upstanding Citizen is simply the percentage rate of the Positive Influences at Home variable.

- Self Improvement (Constant Rate)

Flow rate from Community Engagement Programs to Upstanding Citizen is a constant 5%.

Assumption: There is a constant 5% of Youth that have been partaking in the Community Engagement Programs who have been so well received that they are conscientious Upstanding Members of Bourke society.

- Hits Hard Times (Constant Rate)

Flow Rate from Upstanding Citizen to Home is a constant 1%

Assumption: Upstanding Citizens are not infallible and there are some circumstances which lead to Upstanding Citizens suddenly being susceptible to the alienation, boredom and recklessness.

EFFECT OF CHANGING VARIABLES

Base Settings:

Police Officers = 10

Community Development Resource $ = 5,000

Police Initiative Rate = 1

⮝ Increasing Community Development Resource $

- Increases Community Involvement Flow, therefore increasing Community Engagement Programs, which in turn decreases Youth Alienation. Decrease in Youth Alienation, decreases Temptation Flow.

- Increases Active Rehabilitation Flow, therefore increasing Community Engagement Programs.

- Increases Upstanding Citizen due to the increase in Community Engagement Programs.

⮟ Decreasing Community Development Resource $

- Decreases Community Involvement Flow, therefore decreasing Community Engagement Programs, which in turn increases Youth Alienation. Increase in Youth Alienation, increases Temptation Flow.

- Decreases Active Rehabilitation Flow, therefore decreasing Community Engagement Programs .

- Decreases Upstanding Citizen due to the decrease in Community Engagement Programs.

⮝ Increasing Police Officers

- Decreases Temptation Flow therefore decreasing Petty Crime.

- Increases Conviction Flow therefore increasing Juvenile Detention.

⮟ Decreasing Police Officers

- Increases Temptation Flow therefore increasing Petty Crime.

- Decreases Conviction Flow therefore decreasing Juvenile Detention.

⮝ Increasing Police Initiative

- Decreases Temptation Flow therefore decreasing Petty Crime.

- Increases Conviction Flow therefore increasing Juvenile Detention.

⮟ Decreasing Police Initiative

- Increases Temptation Flow therefore increasing Petty Crime.

- Decreases Conviction Flow therefore decreasing Juvenile Detention.

INTERESTING POINTS

Try setting Community Development Resource $ to 0 , Police Officers to 30 and Police Initiative Rate to 1.

Notice how Youth just constantly circulate between Home, Petty Crime, Juvenile Detention and Discharged with the amount of children in Community Engagement and Upstanding Citizens stocks seem Negligible

Try setting Community Development Resource $ to 30,000 , Police Officers to 1 and Police Initiative Rate to 1.

Notice that while we have a lot of Petty Crime going unpunished we have a significant proportion of the Bourke Youth in Community Engagement Programs and becoming Upstanding Citizens

Try setting Community Development Resource $ to 0 , Police Officers to 30 and Police Initiative Rate to 0.1.

Notice that the situation in Bourke looks very bleak, we have the majority of the youth population committing crimes and even though there's never really any improvement in the situation.

43324525 - Justice Reinvestment in Bourke - Youth Crime Cycle

Desnica Kumar

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.

Clone of Impact of Social Services and Police on Youth Crime

Sravya Sri Egalapati

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.

Clone of Impact of Social Services and Police on Youth Crime

Sravya Sri Egalapati

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.

Clone of Impact of Social Services and Police on Youth Crime

Sravya Sri Egalapati

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.

Clone of Impact of Social Services and Police on Youth Crime

Sravya Sri Egalapati

Bourke Models