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:

 ABOUT THE MODEL  This model simulates the possible rate of crime amongst youth in a small town called Bourke through the variable expenditures of community engagement and policing/punishment. The model shows how the youth population of Bourke have the choice to join in community activities
ABOUT THE MODEL
This model simulates the possible rate of crime amongst youth in a small town called Bourke through the variable expenditures of community engagement and policing/punishment. The model shows how the youth population of Bourke have the choice to join in community activities
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. 
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.

<!--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.
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 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.

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

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

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

People in Bourke can involved in many different situations. 

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

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

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

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

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

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

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

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

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

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

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

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

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

Leaving the education investment but maximise police and employment rate, the crime and jail amount almost a half during the time.
Yu Mao's questionable and barely functional model on ​Bourke's crime landscape with consideration of community development and police.     SID: 43626971.     Model displays the impacts of community development and police simultaneously on offenders in both youth and adult age groups. Also considers
Yu Mao's questionable and barely functional model on ​Bourke's crime landscape with consideration of community development and police. 

SID: 43626971.

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

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

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

Assumptions

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

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

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

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

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

Interesting Results

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

  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 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 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 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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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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 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.

the insight shows how the officials of Brouke can help the youth by having them engaged in community programs. youth who are engaged in community programs are more likely to have a better social life compared to youth who are disengaged and into alienation. it shows the relation between social devel
the insight shows how the officials of Brouke can help the youth by having them engaged in community programs. youth who are engaged in community programs are more likely to have a better social life compared to youth who are disengaged and into alienation. it shows the relation between social development of a youth vs the one who is disengaged.
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-->