Bourke Models
These models and simulations have been tagged “Bourke”.
These models and simulations have been tagged “Bourke”.
EFFECTS OF POLICING AND COMMUNITY INVESTMENT ON ADOLESCENTS IN BOURKE
BACKGROUND
The model depicts the community of Bourke, analysing the
implications of varying community investment and law enforcement expenditure on
crime patterns. In particular, it focuses on youth crime.
The town's initially high crime rates is mostly attributable to
its limited activities and remote location. Ultimately, the aim of this model
is to show how a manipulation of variables can alter youth crime and other
stocks.
ASSUMPTIONS OF THE MODEL
1. Bourke has a population of 3,000 - 1,200 (40%) which make up the youth population, and the remaining 1,800 (60%) is the adult population.
2. Simulation value for community investment is 40%.
3. Simulation value for police officers is 450.
4. The reconviction rate (70%) is assumed to be higher than the
conviction rate (60%). This is because we assume that law enforcement will be imposed
more strictly to those who have already committed a crime at least once.
5. The ‘Engaged’ rate is assumed to be 80%. Given the lesser presence of youth (1,200) in comparison to adults (1,800), it is more likely that the youth population will be required to engage in ‘Community Engagement Programs’ such as sporting clubs or trade-skills.
6. The ‘Improved Youth’ rate is 80%. This is assumed to be high given the nature of the target study. In short, the youth population will be easier to improve, as opposed to if we were analysing adults.
7. It is assumed that, if convicted, juvenile detention time is six
months due to the ‘petty’ nature of youth crimes.
STOCKS
1. Youth population – percentage of youth residing in Bourke.
2. Youth crime – number of people out of the youth population who have committed an offence.
3. Juvenile detention – consequence of committing a crime for youth.
4. Community engagement program – a government
expenditure reform that involves providing support to the disadvantaged.
VARIABLES
1. Community investment – effectiveness of the community engagement program implemented by government, (initial simulation value 40, or 40%). This has been applied on a linear basis to flows applicable to ‘Community Engagement Programs’.
2. Police officers – number between 1-1800 out of the
adult population who are police officers (initial simulation value 450, or 25%).
This value is linked with ‘Law Enforcement’, to which Law Enforcement is
applied to Conviction Rates. Law Enforcement is assumed to increase at a
decreasing rate due to strong beliefs that there are decreasing marginal
benefits in increasing the absolute number of police officers (according to the
Law of Diminishing Returns).
HOW TO GET INTERESTING RESULTS
1. At 50% community investment, disengagement is higher than improved youth throughout the study time period. This is interesting because there is a significantly higher amount of ‘Improved Youth’ (80%) compared to ‘Disengaged’ (20%). For that reason, it is surprising that there are more disengaged than improved adolescents in Bourke. However, at 100% community investment, ‘Improved Youth’ outweighs ‘Disengaged’ adolescents.
2. At 50% Police capacity (900 Police Officers), the conviction and reconviction rates are higher than adolescents not being convicted. ‘Convicted’ and ‘Not Convicted’ tend to move more closely together, on an absolute basis, compared to ‘Reconvicted’ and ‘Not Reconvicted’.
Olivia Miu (44909209)
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
MKT563 – Big Data and Marketing Analytics – Assignment 4 – Jodi Thornton (11743099)
Introduction
Bourke is in North-Western NSW and has a population of 2,634 people.
Approximately 31.5% of the population are Aboriginal or Torres Strait Islander, compared to an average of 2.9% across NSW.
In 2013, the township of Bourke implemented the first pilot program for justice reinvestment, with Aboriginal leadership. The program is known as the Maranguka Justice Reinvestment Project.
Youth development
Reform to youth development and an increase in participation-based programs allowed for an increase in youth involvement within the community. Programs such as the School Holiday program or the 8 to 18-year-old working group helped to contribute towards a positive shift in youth inclusion and reduce alienation such as high school absenteeism, high school non graduate rate and an increase in TAFE/VET enrolments (and subsequent completions).
Police and Legal System
Through a series of initiatives aimed at Adult Empowerment, a decrease in bail breaches saw a 21% reduction YOY, as well as a 23% reduction in domestic violence incidents. The initiatives included the Role of Men working group, Early Childhood and Parenting work group and Aboriginal employment prosperity strategy. There was a 38% reduction in juveniles being charged with a top criminal offence YOY from 2016 to 2017.
Community development
As of 2020, the ABC reported that North-Western NSW children are still at a disadvantage with some of the state’s highest percentages for lack of internet access, with Bourke reporting 30.1% of children still do not have internet access at home.
One of the community (and youth) initiatives implemented was the Birrang Learner Driver Program. The program saw an 83% increase in successful test completions YOY with 2016.
Initial parameters
- Internet access = 0.625
- Licence success rate = 0.83
- High school students = 160
- High school attendance rate = 0.74
- TAFE completion rate = 0.84
- Reoffence rate = 0.695
- Crime = 239 (arrests by charged rate)
- Charged = 0.38
- Breach rate = 0.27
- Youths = 302
- Arrests = 91
- Aboriginal background = 0.60
Variables (sliders)
Internet access
- Licence success rate
- High school students
- High school attendance rate
- TAFE completion rate
- Reoffence rate
- Crime
- Charged
- Breach rate
Assumptions
- Bourke has 31.5% aboriginal population.
- TAFE enrolments are governed by successful high school graduates.
- 3.3% of juveniles under 18 attend technical and further education
- There are 160 high school students – 60% have an Aboriginal background
- The attendance rate for high school students is 74%
- It would stand to reason that the absentee rate is 100 – 74 = initial value is 26%
- The simulation has been set to run for 5 years
- There are 302 youths aged between 10 and 19 years old
- 15-19 year olds make up for 4.6% of the population in Bourke (121).
- Licences achieved had an 83% increase YOY from 2016 to 2017
- 23% reduction in domestic violence incidents YOY from 2016 to 2017
- 27% reduction in juvenile bail breaches YOY from 2016 to 2017
- 38% reduction in juveniles being charged with a “top 5 offence” (91 arrests)
References
Allam, L. (2018, October 8). 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. (n.d.). Data by region. Retrieved 6 June 2021, from https://dbr.abs.gov.au/region.html?lyr=lga&rgn=11150
Australian Bureau of Statistics. (2016). 2016 Census QuickStats: Bourke (A). https://quickstats.censusdata.abs.gov.au/census_services/getproduct/census/2016/quickstat/LGA11150?opendocument
KPMG. (2018, November). Maranguka Justice Reinvestment Project. https://www.justreinvest.org.au/impact-of-maranguka-justice-reinvestment/
McCutcheon, J. (2020, August 27). Internet at home not available to 26pc of children living in remote New South Wales. ABC News. https://www.abc.net.au/news/2020-08-28/internet-access-for-students-in-the-bush-unequal-to-city-kids/12601120
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.
Youth Alienation in Bourke: a model for it's causes and reform
Youth alienation is operationalised as the rate per 100,000 of Juvenile offences in the town of Bourke. A baseline figure of 126 (per 100,000) is used and is extrapolated from NSW Bureau of Crime Statistics 2016 LGA table: http://www.bocsar.nsw.gov.au/Pages/bocsar_crime_stats/bocsar_lgaexceltables.aspx
This is a broad model that seeks to demonstrate lowering the Youth alienation index by lowering the Juvenile offending rates in Bourke. This is achieved through the lowering of negative inputs and the increase of positive inputs.
Assumptions in this model are:
1.) Juvenile = age 10 -19 years
2.) Domestic Violence offences in the adult population (age 20 years plus), Youth Unemployment Rate and Antisocial Juvenile Gang Activity are the primary negative inputs contributing to increased Juvenile offending rates
3.) Youth Programs and Services are the primary positive inputs to decreased Juvenile offending rates
4.) The 4 primary inputs are influenced by variables directly or indirectly in positive inputs (blue lines and writing with plus signs), or negative inputs (red lines and writing with minus signs)
5.) Readers are advised to be aware of the “double negative” values in this model and it’s formulas. Youth Alienation is expressed in a positive number, despite being conceived of as a negative and undesirable social phenomenon. Therefore, the primary negative inputs (Domestic Violence rates, Antisocial Youth Gang activity and Youth Unemployment) are numerically positive in the associated formulas for flow inputs, but graphically presented as negative inputs. Similarly, the primary positive input (Youth Programs and Services) are numerically negative, but graphically positive.
Conclusion:
It is hypothesised that an increase in social capital, combined
with the reducing influence of reforming processes elsewhere in the system,
will lead over time to a reduction in Youth Alienation in Bourke (indexed by a
reduction in the Juvenile Crime rate).
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
VARIABLES
Policing Units – Policing Bourke's criminal activity, and convicting after a crime has been committed.
Juvenile Support Units – The variable change in crime IF the community funds Support Units for youth before a crime is committed.
Social Support Units – The number of social support units available for released offenders during rehabilitation phase.
Community expenditure – the amount of time and money being spent on social services and policing.
Birth rate, crime rate, dicharge rate, recidivism & conviction rate
INTERESTING RESULTS
Slide any of the 3 variables to the extreme.
This model shows that adoption rate of a positive lifestyle is directly influenced by social influences.
1/ Juvenile Support Unit impact
Press Simulate.
Slide Juvenile Support Units to the extreme. Simulate again.
Juxtaposition of Juvenile Support impact on Behavior Graph shows that Crime and Reoffend rates drop significantly. More people turn to law-abiding positive activity.
This will again all change with the manipulation of the Social Support unit slider…..
2/ Social Support Unit impact
Social Support Units only influence those released from the Punishment facility. The more social services on hand to support rehabilitation phase the less chance of committing crime for the second time, with Reoffend rates dropping significantly when the Social Support Units Slider is adjusted to the extreme.
Rehabilitation rates only increase marginally, in spite of more social support feeding into that phase.
The greatest impact is shown on Law-Abiding and Crime. How could this be? A logical conclusion is that there is a finite number of youth in the community and those who have received positive social support during a learning phase of rehabilitation, then go on to influence their friends, their family, and have a positive influence on those around them.
3/ Police Unit Impact
Slide Policing Units to the extremes. Simulate. Policing Units Graph shows there is a significant decrease in Reoffend rates, and a higher rate of Conviction.
Curiously, rehabilitation rates drop and crime rates go up. How could this happen? A logical conclusion is that conviction and punishment is not a crime deterrent. It needs the added influence of social support services for there to be a positive impact on decreasing criminal instincts and activity on the whole.
Conclusions
Social support and home visits need to happen in the flow between Youth Population and Crime - “Juvenile Support Units”.
Investment in youth via these juvenile social support officers before they commit an offence, limits the amount of criminal activity over time. So, crime effectively decreases with the direct influence of social services at a young age.
Equally, with more police presence in the community, for those tempted to re-offend, they have a deterrent.
The most efficient management of the community issues faced in Bourke however lies with a combination of both Policing and Social Support services at all levels within the community.
<!--EndFragment-->
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
VARIABLES
Policing Units – Policing Bourke's criminal activity, and convicting after a crime has been committed.
Juvenile Support Units – The variable change in crime IF the community funds Support Units for youth before a crime is committed.
Social Support Units – The number of social support units available for released offenders during rehabilitation phase.
Community expenditure – the amount of time and money being spent on social services and policing.
Birth rate, crime rate, dicharge rate, recidivism & conviction rate
INTERESTING RESULTS
Slide any of the 3 variables to the extreme.
This model shows that adoption rate of a positive lifestyle is directly influenced by social influences.
1/ Juvenile Support Unit impact
Press Simulate.
Slide Juvenile Support Units to the extreme. Simulate again.
Juxtaposition of Juvenile Support impact on Behavior Graph shows that Crime and Reoffend rates drop significantly. More people turn to law-abiding positive activity.
This will again all change with the manipulation of the Social Support unit slider…..
2/ Social Support Unit impact
Social Support Units only influence those released from the Punishment facility. The more social services on hand to support rehabilitation phase the less chance of committing crime for the second time, with Reoffend rates dropping significantly when the Social Support Units Slider is adjusted to the extreme.
Rehabilitation rates only increase marginally, in spite of more social support feeding into that phase.
The greatest impact is shown on Law-Abiding and Crime. How could this be? A logical conclusion is that there is a finite number of youth in the community and those who have received positive social support during a learning phase of rehabilitation, then go on to influence their friends, their family, and have a positive influence on those around them.
3/ Police Unit Impact
Slide Policing Units to the extremes. Simulate. Policing Units Graph shows there is a significant decrease in Reoffend rates, and a higher rate of Conviction.
Curiously, rehabilitation rates drop and crime rates go up. How could this happen? A logical conclusion is that conviction and punishment is not a crime deterrent. It needs the added influence of social support services for there to be a positive impact on decreasing criminal instincts and activity on the whole.
Conclusions
Social support and home visits need to happen in the flow between Youth Population and Crime - “Juvenile Support Units”.
Investment in youth via these juvenile social support officers before they commit an offence, limits the amount of criminal activity over time. So, crime effectively decreases with the direct influence of social services at a young age.
Equally, with more police presence in the community, for those tempted to re-offend, they have a deterrent.
The most efficient management of the community issues faced in Bourke however lies with a combination of both Policing and Social Support services at all levels within the community.
<!--EndFragment-->
This model is looking at the youth in the town of Bourke, in NSW Australia. It has been designed to look at the impacts that the police force and community engagement can have on the youth in Bourke, specifically in relation to the crime rates within the town and what factors impact on this, including unemployment and drug and alcohol use.
Assumptions:
<!--[if !supportLists]-->- <!--[endif]-->Total youth in Bourke = 25,000
<!--[if !supportLists]-->- <!--[endif]-->Currently in Jail = 15,500
<!--[if !supportLists]-->- <!--[endif]-->Currently in rehabilitation = 6,500
<!--[if !supportLists]-->- <!--[endif]-->Youth who participate in a Community program and complete it = 75%
<!--[if !supportLists]-->- <!--[endif]-->Youth with antisocial behaviour = 2,000
<!--[if !supportLists]-->- <!--[endif]-->Youth with drug and alcohol problems = 6,500
<!--[if !supportLists]-->- <!--[endif]-->Unemployment = 10,000
<!--[if !supportLists]-->- <!--[endif]-->Youth placed into rehab due to drugs = 1,500
The youth in Bourke enter into a community program, and 75% of youth complete the program and return to the total youth. The 25% that do not complete become disengaged and wind up in jail. They complete a rehabilitation program and return to the community after 6 months. Youth with unemployment are impacted by drug and alcohol use and they are either detected by the police and placed into the rehabilitation program, or they are not detected and continue on a cycle of unemployment and drug and alcohol use.
The Government funding goes into the community programs and into the jail. The police force impacts on the disengaged youth entering into jail, the youth who become rehabilitated and detecting the drug and alcohol use of the youth.
There are two graphs in particular that are called out in this model. They are:
<!--[if !supportLists]-->1) <!--[endif]-->Youth in Jail and Disengagement
<!--[if !supportLists]-->2) <!--[endif]-->Youth in the Community Program and Youth Completing the Program
When looking at graph number one with the sliders on 100 Police Staff Members and $50,000 Government Funding you can see that the more youth that complete the program, the less youth there are in jail. We can identify that the completion of the program decreases the amount of youth in jail.
When these sliders are decreased to their lowest with 5 police staff members and $5,000 of government funding we see that the time it takes for the completion of community programs to be surpass the youth in jail occurs after 11 years as opposed to 7 years in the previous graph.
The second graph identifies when the sliders are at their highest the delay and time it takes to engage the youth in the rehabilitation program vs. the youth in the community program, and that the youth entering into the programs and completing match up to one another. When the sliders are at there lowest the rehabilitation sits much lower at all times and the time taken to increase the amount of youth completing the program is substantially longer.
Overall this model stimulates the importance on not only the police force and government funding, but the two working alongside one another for optimum results for the youth in Bourke.
<!--EndFragment-->
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
VARIABLES
Policing Units – Policing Bourke's criminal activity, and convicting after a crime has been committed.
Juvenile Support Units – The variable change in crime IF the community funds Support Units for youth before a crime is committed.
Social Support Units – The number of social support units available for released offenders during rehabilitation phase.
Community expenditure – the amount of time and money being spent on social services and policing.
Birth rate, crime rate, dicharge rate, recidivism & conviction rate
INTERESTING RESULTS
Slide any of the 3 variables to the extreme.
This model shows that adoption rate of a positive lifestyle is directly influenced by social influences.
1/ Juvenile Support Unit impact
Press Simulate.
Slide Juvenile Support Units to the extreme. Simulate again.
Juxtaposition of Juvenile Support impact on Behavior Graph shows that Crime and Reoffend rates drop significantly. More people turn to law-abiding positive activity.
This will again all change with the manipulation of the Social Support unit slider…..
2/ Social Support Unit impact
Social Support Units only influence those released from the Punishment facility. The more social services on hand to support rehabilitation phase the less chance of committing crime for the second time, with Reoffend rates dropping significantly when the Social Support Units Slider is adjusted to the extreme.
Rehabilitation rates only increase marginally, in spite of more social support feeding into that phase.
The greatest impact is shown on Law-Abiding and Crime. How could this be? A logical conclusion is that there is a finite number of youth in the community and those who have received positive social support during a learning phase of rehabilitation, then go on to influence their friends, their family, and have a positive influence on those around them.
3/ Police Unit Impact
Slide Policing Units to the extremes. Simulate. Policing Units Graph shows there is a significant decrease in Reoffend rates, and a higher rate of Conviction.
Curiously, rehabilitation rates drop and crime rates go up. How could this happen? A logical conclusion is that conviction and punishment is not a crime deterrent. It needs the added influence of social support services for there to be a positive impact on decreasing criminal instincts and activity on the whole.
Conclusions
Social support and home visits need to happen in the flow between Youth Population and Crime - “Juvenile Support Units”.
Investment in youth via these juvenile social support officers before they commit an offence, limits the amount of criminal activity over time. So, crime effectively decreases with the direct influence of social services at a young age.
Equally, with more police presence in the community, for those tempted to re-offend, they have a deterrent.
The most efficient management of the community issues faced in Bourke however lies with a combination of both Policing and Social Support services at all levels within the community.
<!--EndFragment-->
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
VARIABLES
Policing Units – Policing Bourke's criminal activity, and convicting after a crime has been committed.
Juvenile Support Units – The variable change in crime IF the community funds Support Units for youth before a crime is committed.
Social Support Units – The number of social support units available for released offenders during rehabilitation phase.
Community expenditure – the amount of time and money being spent on social services and policing.
Birth rate, crime rate, dicharge rate, recidivism & conviction rate
INTERESTING RESULTS
Slide any of the 3 variables to the extreme.
This model shows that adoption rate of a positive lifestyle is directly influenced by social influences.
1/ Juvenile Support Unit impact
Press Simulate.
Slide Juvenile Support Units to the extreme. Simulate again.
Juxtaposition of Juvenile Support impact on Behavior Graph shows that Crime and Reoffend rates drop significantly. More people turn to law-abiding positive activity.
This will again all change with the manipulation of the Social Support unit slider…..
2/ Social Support Unit impact
Social Support Units only influence those released from the Punishment facility. The more social services on hand to support rehabilitation phase the less chance of committing crime for the second time, with Reoffend rates dropping significantly when the Social Support Units Slider is adjusted to the extreme.
Rehabilitation rates only increase marginally, in spite of more social support feeding into that phase.
The greatest impact is shown on Law-Abiding and Crime. How could this be? A logical conclusion is that there is a finite number of youth in the community and those who have received positive social support during a learning phase of rehabilitation, then go on to influence their friends, their family, and have a positive influence on those around them.
3/ Police Unit Impact
Slide Policing Units to the extremes. Simulate. Policing Units Graph shows there is a significant decrease in Reoffend rates, and a higher rate of Conviction.
Curiously, rehabilitation rates drop and crime rates go up. How could this happen? A logical conclusion is that conviction and punishment is not a crime deterrent. It needs the added influence of social support services for there to be a positive impact on decreasing criminal instincts and activity on the whole.
Conclusions
Social support and home visits need to happen in the flow between Youth Population and Crime - “Juvenile Support Units”.
Investment in youth via these juvenile social support officers before they commit an offence, limits the amount of criminal activity over time. So, crime effectively decreases with the direct influence of social services at a young age.
Equally, with more police presence in the community, for those tempted to re-offend, they have a deterrent.
The most efficient management of the community issues faced in Bourke however lies with a combination of both Policing and Social Support services at all levels within the community.
<!--EndFragment-->
