Crime Models

These models and simulations have been tagged “Crime”.

Related tagsBourkeYouth

 Assignment 3: Bourke Crime and Community Development​     This complex systems model depicts the impact of factors such as violence and community programs on the youth of Bourke. The time scale is in months and shows the next 6 years. The model aims to show how by altering expenditure in different
Assignment 3: Bourke Crime and Community Development​

This complex systems model depicts the impact of factors such as violence and community programs on the youth of Bourke. The time scale is in months and shows the next 6 years. The model aims to show how by altering expenditure in different areas, the town of Bourke can decrease crime and increase their population involvement in community programs. This model is intended to be dynamic to allow the user to change certain variables to see changes in impact

The town of Bourke has a population of 3634 people, 903 of which are classified as youth (being 0-24 inclusive) (ABS, 2016 census).
This population starts with all youths in three differing stocks:
- 703 in Youth
- 100 in Juvenile Detention
- 100 in Rehabilitation


Assumptions:
This model makes many assumptions that would not necessarily uphold in reality.

- Only the youth of the town are committing crimes.
- All convicted youths spend 6 months in juvenile detention.
- All convicted youths must go to rehabilitation after juvenile detention and spend 2 months there.
- The risk rate impacts upon every youth committing a crime and is a  broad term covering effects such as abuse.
- No gaol effect, youths do not return to town with a tendency to re- commit a crime.
- No further external factors than those given.
- There cannot be zero expenditure in any of the fields.


The stocks:
Each stock depicts a different action or place that an individual youth may find themselves in. 
These stocks include:
- Youth (the youths living in Bourke, where youths are if they are not committing crimes or in community programs)
- Petty Crime (crimes committed by the youths of Bourke such as stealing)
- Juvenile Detention (where convicted youths go)
- Rehabilitation
- Community Programs


The variables:
- Community Expenditure (parameter 0.1-0.4)
- Law Enforcement Expenditure (parameter 0.1-0.6)
- Rehabilitation Expenditure (parameter 0.1-0.4)
- Risk Rate (not adjustable but alters with Law Enforcement Expenditure)

Sliders on each of the expenditure variables have been provided. These variables indicate the percentage of the criminal minimising budget for Bourke.
Note that to be realistic, one should make the three differing sliders be equal to 1, in order to show 100% of expenditure

Base Parameter Settings:
- Law Enforcement Expenditure = 0.5
- Community Expenditure = 0.25
- Rehabilitation Expenditure = 0.25

Interesting Parameter Settings:
- When Law Enforcement is at 0.45 and Community and Rehabilitation at 0.3 and 0.25 (in either order) then convicted and not-convicted values are the same. If Law Enforcement expenditure goes any lower then the number of convicted youths is less than those not-convicted and vice versa if the expenditure is increased.
- When Law Enforcement is at 0.2 and Community and Rehabilitation at 0.4 each then the increase in community programs and decrease in crime and thus detention occurs in a shorter and more rapid time frame. This shows that crime can be minimised in this model almost entirely through community initiatives.
- Alternatively, when Law Enforcement is at 0.6 and Community and Rehabilitation at 0.2 each then the increase in community programs and decrease in crime occurs over a longer time period with more incremental change.



Population Source:

The following insight shows the level of crime in the town of Bourke in comparison to the levels of Police and Community Engagement
The following insight shows the level of crime in the town of Bourke in comparison to the levels of Police and Community Engagement
This model
displays the effects of youth crime and the influence of community expenditure,
social support, and policing in the town of Bourke, NSW.

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

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

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

Assumptions
-1000 Youth Population

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

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

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

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

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

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

STOCKS

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

VARIABLES

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

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

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

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

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


INTERESTING RESULTS

Slide any of the 3 variables to the extreme.

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

1/ Juvenile Support Unit impact

Press Simulate.

Slide Juvenile Support Units to the extreme. Simulate again.

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

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

2/ Social Support Unit impact

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

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

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

3/ Police Unit Impact

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

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

Conclusions

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

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

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

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

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  A Model of the Rate of Adult and Youth Crime and Community Spending in Bourke:   This is a model which displays whether community spending and the number of police can affect both adult and youth in committing a crime and becoming involved in community activities.         The   Underlying Assumpti

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

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


The Underlying Assumptions:


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


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


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



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

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

• People are not learning from past mistakes.

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

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


 • Initial values are as follow:

           Bourke youth: 1000

           Bourke adult: 1000

           Bourke petty crime: 500

           Bourke jailed population: 500



Explanation of the model:


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

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


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








This Model showcases the interplay between the Youth and Crime in Bourke with a monopoly of contributing factors. The Groups and factors are explained in depth below.  With a total population of 3000 the the total youth population is estimated to 2000.        Youth:  Initialing this encompasses 2000
This Model showcases the interplay between the Youth and Crime in Bourke with a monopoly of contributing factors.
The Groups and factors are explained in depth below.
With a total population of 3000 the the total youth population is estimated to 2000.

Youth: Initialing this encompasses 2000 individuals aged 15-25 years that are currently living in Bourke.
Crime: this denotes the number of youth involved in crime
Conviction: this includes youth that have been caught after committing a crime.
Youth in detention: the number of youth that have been detained for a period of time after being convicted of a crime.
Community program involvement: The number of youth that participate in community programs.

FACTORS (affecting the groups above)
Crime Rate: the rate at which youth commit a crime, this variable based upon 'alienation'.
Caught: the ratio of youth committing crime are caught. This is variable based upon the 'policing expenditure'
Alienation: a ratio reflecting the division between Bourke's youth and law enforcement. This variable is based upon the level of policing expenditure and community program expenditure.
Policing Expenditure: The respective amount of money (000's of dollars) allocated to tackle youth crime.
SLIDER 
min: 5 ($5,000)
max: 50 ($50,000)

Community Program Expenditure: The respective amount of money (000's of dollars) allocated running community programs aimed to help Bourke's youth population.
SLIDER 
min: 0 ($0)
max: 40 ($40,000)

By adjusting the policing and community program expenditure parameters using the sliders shows fluctuations between the groups. For example, by increasing policing expenditure will increase alienation, subsequently the crime rate will increase. Furthermore an increase in the proportion of youth committing crime that are caught, subsequently increasing the youth being convicted and in detention.
On the other using the slider to increase the expenditure on community programs, will see increase in the the number of youth involved in the programs. Also the level of alienation will decrease and subsequently reflecting in a reduced crime rate.

Time variable used in this model is Months. This is shown in the relative simulations.

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

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

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

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

Assumptions
-1000 Youth Population

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

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

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

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

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

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

STOCKS

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

VARIABLES

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

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

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

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

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


INTERESTING RESULTS

Slide any of the 3 variables to the extreme.

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

1/ Juvenile Support Unit impact

Press Simulate.

Slide Juvenile Support Units to the extreme. Simulate again.

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

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

2/ Social Support Unit impact

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

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

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

3/ Police Unit Impact

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

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

Conclusions

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

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

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

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

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  Bourke Youth Crime Model      This simple model is designed to simulate crime amongst youth in the country town of Bourke, Australia.    Bourke has a youth population (under 24 years of age) of 998 (ABS, 2015). These 998 persons begin arbitrarily split between the general population [Bourke Youth]
Bourke Youth Crime Model

This simple model is designed to simulate crime amongst youth in the country town of Bourke, Australia.

Bourke has a youth population (under 24 years of age) of 998 (ABS, 2015). These 998 persons begin arbitrarily split between the general population [Bourke Youth], youth in the football club [Football Club], youth engaged in criminal activity [Criminals] and incarcerated youth [Prisoners]

The rates of transfer between these blocks are determined by several logical mechanisms which are explained below. All calculations are rounded for the obvious reason that populations are necessarily integer values. To facilitate investigation into the interaction between variables, only Police and Funding are adjustable. Any other inputs would unnecessarily complicate the model, and degrade its usability and usefulness.

Observations:
Police and Funding have an interaction that determines the outcome for criminals in the simulation. At a funding multiplier of 1 (standard) and with minimum police, Criminals outnumber youths by the end of the simulation. As the funding is decreased, this threshold increases until a funding multiplier of 0.2, where even the maximum number of police cannot control the criminal population.

Perhaps most interestingly, the equilibrium prisoner population depends on the sports club funding multiplier, not the number of police.

An interesting comparison can be found between setting the funding multiplier to 1.5 and police to 100, and setting funding to 0.3 with police at 225. This comparison is an ideal use for this model, as it reflects the benefits from community engagement seen in the case study.

Rates:
Commit Crime: The crime rate in Bourke is modelled to be dependent on several factors, principally the number of police in Bourke (a greater police presence will reduce crime). It is also assumed that a greater general youth population will increase the rate of crime, and that participation in the football club (or interaction with other engaged community members) will discourage crime. For these reasons, the rate of criminalisation is modelled with the equation: 
Round([Bourke Youth]^2/([Football Club]*[Police]+1))

Arrested: The arrest rate is determined by a factor of the number of police available to charge and arrest suspects, as well as the number of criminals eligible for arrest. A natural logarithm is taken for police, as police departments should see diminishing returns in adding more officers. A logarithm is also taken of criminals to allow it to factor into the rate without swamping the effect of police. Thus, the rate is calculated with:
Round(ln([Police]+1)*5*log([Criminals]+1))

Released: The release rate is a straightforward calculation; it is set to increase with the square of the number of prisoners to keep the maximum number of inmates low. This is because Bourke is a small town with a small gaol and it would have to prematurely release inmates as the inmate population overflowed. Thus it is calculated with:
Round(0.001*[Prisoners]^2)

Recruited: The Football recruitment rate is assumed to be dependent on the population available for recruitment, and the funding received for the football club. A better funded club would recruit youths in greater numbers. Consequently, the recruitment rate is calculated with:
Round(ln([Bourke Youth]+1)*[Funding Modifier]+1)

Dropout Rate: The dropout rate from the football club is assumed to be dependent on the number of players (a proportion should quit every season) and the funding of the club (a well funded club should retain more players. Thus it is calculated with:
Round(1+ln([Football Club]*10/([Funding Modifier]+5)))

Self Adjust: A small leak flow to represent those criminals that cease their criminal activity and return to the general population.

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

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

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

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

Assumptions
-1000 Youth Population

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

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

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

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

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

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

STOCKS

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

VARIABLES

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

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

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

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

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


INTERESTING RESULTS

Slide any of the 3 variables to the extreme.

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

1/ Juvenile Support Unit impact

Press Simulate.

Slide Juvenile Support Units to the extreme. Simulate again.

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

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

2/ Social Support Unit impact

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

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

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

3/ Police Unit Impact

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

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

Conclusions

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

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

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

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

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

SID: 43626971.

Model displays the impacts of community development and police simultaneously on offenders in both youth and adult age groups. Also considers these variables simultaneously. 
  Exploration of Funding Distribution within Bourke, NSW       This Insight provides a vision of the current crime rate of Bourke and the impact that increases in funding in both community involvement and policing will have. It models this data across 24 months.        Stocks:         General Popula
Exploration of Funding Distribution within Bourke, NSW

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

Stocks:

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

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

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

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

Variables:

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

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


Description and Assumptions:

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

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

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

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

Notable Data Points

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

An increase in social programs decreases crime overall.
 THE MODEL 

  Underlying
assumptions:  

         Police Force has a negative relationship with
committed crime (criminals) and has a positive relationship with Juvenile Detention.        Community Investment has a negative relationship
with committed crime.        Family – Police relations is nega
THE MODEL

Underlying assumptions:

  •      Police Force has a negative relationship with committed crime (criminals) and has a positive relationship with Juvenile Detention.
  •      Community Investment has a negative relationship with committed crime.
  •      Family – Police relations is negatively related to domestic violence rate, which has positive relationship with committed crime.
  •      Only the youth are law-breaking citizens (as this model mainly focuses on this population).   
  •      Coefficients are chosen arbitrarily. We may need more real data and research to determine the appropriate ones.

Constants:  

  • It took six months for Community Investment (which includes soccer team, trade-skills class and driving class) and Family – Police Relations to work.
  • Juvenile detention length is also 6 months.

Things to note:

  •      Youth in Bourke committed crime mainly because of the influence from high domestic violence rate, low police force rate (police investment), as well as low community investment rate. The figure was used to calculate the number of youth committing crime is the average of these three rates.
  •      Those violent families were detected by the Police Force, but then supervised by the responsible team, therefore reduce bad effects on the youths who have been suffering from that and finally reduce the likelihood of committing crimes.
  •      Community Investment in forming soccer team, trade-skills classes and driving classes moved a portion of returning criminals (the ones not got caught) to community engagement, therefore reduce the chances of committing crimes of these individuals.
  •      Maximizing the Police Force rate is probably the best way to reduce crime in short-term, but not likely in long-term because detention facilities cost much of the budget and it is not going to benefit the community. Since it is assumed that the total budget for justice reinvestment campaign in Burke is 50 units, an initial setting of 10, 25 and 15 units for Police Force, Community Investment and Family-Police Relations respectively is recommended.

Initial values:

Youth in town: 1200.

Criminals: 100.

Juvenile Detention: 100.

Violent families: 300                      

Detected violent families: 100.

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

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

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

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

Assumptions
-1000 Youth Population

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

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

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

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

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

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

STOCKS

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

VARIABLES

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

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

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

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

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


INTERESTING RESULTS

Slide any of the 3 variables to the extreme.

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

1/ Juvenile Support Unit impact

Press Simulate.

Slide Juvenile Support Units to the extreme. Simulate again.

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

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

2/ Social Support Unit impact

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

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

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

3/ Police Unit Impact

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

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

Conclusions

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

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

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

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

<!--EndFragment-->
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 ar
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.
This model
displays the effects of youth crime and the influence of community expenditure,
social support, and policing in the town of Bourke, NSW.

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

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

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

Assumptions
-1000 Youth Population

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

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

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

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

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

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

STOCKS

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

VARIABLES

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

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

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

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

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


INTERESTING RESULTS

Slide any of the 3 variables to the extreme.

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

1/ Juvenile Support Unit impact

Press Simulate.

Slide Juvenile Support Units to the extreme. Simulate again.

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

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

2/ Social Support Unit impact

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

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

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

3/ Police Unit Impact

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

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

Conclusions

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

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

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

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

<!--EndFragment-->
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 ar
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.
  Bourke Youth Crime Model      This simple model is designed to simulate crime amongst youth in the country town of Bourke, Australia.    Bourke has a youth population (under 24 years of age) of 998 (ABS, 2015). These 998 persons begin arbitrarily split between the general population [Bourke Youth]
Bourke Youth Crime Model

This simple model is designed to simulate crime amongst youth in the country town of Bourke, Australia.

Bourke has a youth population (under 24 years of age) of 998 (ABS, 2015). These 998 persons begin arbitrarily split between the general population [Bourke Youth], youth in the football club [Football Club], youth engaged in criminal activity [Criminals] and incarcerated youth [Prisoners]

The rates of transfer between these blocks are determined by several logical mechanisms which are explained below. All calculations are rounded for the obvious reason that populations are necessarily integer values. To facilitate investigation into the interaction between variables, only Police and Funding are adjustable. Any other inputs would unnecessarily complicate the model, and degrade its usability and usefulness.

Observations:
Police and Funding have an interaction that determines the outcome for criminals in the simulation. At a funding multiplier of 1 (standard) and with minimum police, Criminals outnumber youths by the end of the simulation. As the funding is decreased, this threshold increases until a funding multiplier of 0.2, where even the maximum number of police cannot control the criminal population.

Perhaps most interestingly, the equilibrium prisoner population depends on the sports club funding multiplier, not the number of police.

An interesting comparison can be found between setting the funding multiplier to 1.5 and police to 100, and setting funding to 0.3 with police at 225. This comparison is an ideal use for this model, as it reflects the benefits from community engagement seen in the case study.

Rates:
Commit Crime: The crime rate in Bourke is modelled to be dependent on several factors, principally the number of police in Bourke (a greater police presence will reduce crime). It is also assumed that a greater general youth population will increase the rate of crime, and that participation in the football club (or interaction with other engaged community members) will discourage crime. For these reasons, the rate of criminalisation is modelled with the equation: 
Round([Bourke Youth]^2/([Football Club]*[Police]+1))

Arrested: The arrest rate is determined by a factor of the number of police available to charge and arrest suspects, as well as the number of criminals eligible for arrest. A natural logarithm is taken for police, as police departments should see diminishing returns in adding more officers. A logarithm is also taken of criminals to allow it to factor into the rate without swamping the effect of police. Thus, the rate is calculated with:
Round(ln([Police]+1)*5*log([Criminals]+1))

Released: The release rate is a straightforward calculation; it is set to increase with the square of the number of prisoners to keep the maximum number of inmates low. This is because Bourke is a small town with a small gaol and it would have to prematurely release inmates as the inmate population overflowed. Thus it is calculated with:
Round(0.001*[Prisoners]^2)

Recruited: The Football recruitment rate is assumed to be dependent on the population available for recruitment, and the funding received for the football club. A better funded club would recruit youths in greater numbers. Consequently, the recruitment rate is calculated with:
Round(ln([Bourke Youth]+1)*[Funding Modifier]+1)

Dropout Rate: The dropout rate from the football club is assumed to be dependent on the number of players (a proportion should quit every season) and the funding of the club (a well funded club should retain more players. Thus it is calculated with:
Round(1+ln([Football Club]*10/([Funding Modifier]+5)))

Self Adjust: A small leak flow to represent those criminals that cease their criminal activity and return to the general population.

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

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

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

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

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

The two sliders "Police" and "Youth Redevelopment Expenditure" indicates the intensity of spending on these two subjects. The result of Bourke's crime rate and sports team engagement changes depending on these sliders. 
  About
the Model  

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

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

About the Model

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

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

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

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

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

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

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

The variables used in the model are:

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

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

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

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

Key Assumptions:

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

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

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

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

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

Young Community Member = 700

Alienated and At Risk Youth = 300

Criminal = 300

Imprisoned = 200

Noteworthy observations:

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

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

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

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



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

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

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

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

Assumptions
-1000 Youth Population

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

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

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

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

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

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

STOCKS

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

VARIABLES

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

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

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

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

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


INTERESTING RESULTS

Slide any of the 3 variables to the extreme.

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

1/ Juvenile Support Unit impact

Press Simulate.

Slide Juvenile Support Units to the extreme. Simulate again.

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

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

2/ Social Support Unit impact

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

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

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

3/ Police Unit Impact

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

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

Conclusions

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

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

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

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

<!--EndFragment-->
  ​Justice Reinvestment in Bourke     The Model:   I have used a Systems Dynamic model which is made up of stocks, flows, and primitives.  A linear function (Straight Line Method) has been created to 
determine the impact of adjusted expenditure levels in policing and 
community development. The tow
​Justice Reinvestment in Bourke

The Model:

I have used a Systems Dynamic model which is made up of stocks, flows, and primitives.
A linear function (Straight Line Method) has been created to determine the impact of adjusted expenditure levels in policing and community development. The town of Bourke experiences extremely high youth detention levels. The cause of this detention level is said to have many contributing factors. These include, the at home environment of the youth, with many households experiencing domestic violence incidents. While other contributing factors are the lifestyle of the youths external environment, with many youth not attending school, not having their license, and being unemployed. Each of these factors only increase the youth crime rate in Bourke.  In order to combat this, research into crime prevention has been implemented in Bourke. Increased expenditure on community development programs like domestic violence consultation groups, football clubs, free driving lessons and talks between elders and the youth have been implemented in the hope to reduce youth in detention.
My model demonstrates the effect of increased expenditure on community development verse increased expenditure on policing. The ultimate outcome would be to establish a balance between expenditure on policing and expenditure on community development, thus resulting with as little youth in detention as possible.


Assumptions:

Bourke total population: 3,000
Bourke total youth population: 2,000
Initial Value are as followed -
Bourke youth in community: 500
Bourke youth involved in crime: 250
Bourke youth in Juvenile detention: 250