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Do you like travelling? Find out how we can help make it more sustainable! Images used: Suitcase: http://vignette2.wikia.nocookie.net/animaljam/images/a/ab/Travel-suitcase_(1).png/revision/latest?cb=20140907211051 Fiji: http://cdn.newsapi.com.au/image/v1/91c1263a2a357b3673af8ff8362c0c8d?w

https://image.slidesharecdn.com/genderinintegratedsystemsresearchbycynthiamcdougallseniorscientistgenderequitythemeleader-150311041710-conversion-gate01/95/gender-in-integrated-systems-research-by-cynthia-mcdougall-senior-scientist-gender-equity-theme-leader-25-638.jpg?cb=1426065542

Sources:

https://www.statista.com/statistics/270422/forecast-for-2020-arrivals-of-foreign-tourists-worldwide/

http://www.sustainabletourism.net

Week 10 Lecture- Dr. David Tindall Lecture pdf

https://www.adb.org/countries/fiji/poverty

Economic Impact of Tourism on Fiji's Economy: Empirical Evidence from Computable General Equilibrium Model by Paresh Kumar Narayan

https://www.wttc.org/-/media/files/reports/economic%20impact%20research/countries%202015/fiji2015.pdf

http://sustainabletravel.org/our-work/regional-alliances/pacific/hotel-sustainable-resources-pacific/

http://reusegraywater.com/about-us/

Rubin, K.E., The Valuation of Hotels and Motels for Assessment Purposes, 1984

https://en.wikipedia.org/wiki/Leverage-point_modeling

Meadows, D.H., & Wright, D. (2009). Thinking in systems: a primer, London: Earthscan.

Sustainable Tourism (Final)

Claire Huang

Current and proposed Structure of CCP and related Models expanding on the details provided in the Project Completion plan IM-101760

Structure of the CCP Models

Geoff McDonnell

Vicious economic circle of Aboriginal people

Akshat Bansal

วช

meng

WIP Summary of MIchael Hudson's Book Killing the Host: How Financial Parasites and Debt destroy the Global Economy

Killing the Host

Geoff McDonnell

4

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

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

Stocks

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

Disengaged Youth are those with problematic behaviour

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

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

Data of Note

- Economic Impact is five times cost of running the program

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

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

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

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

Conclusion

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

Relationship between Youth Alienation, Police and Community Development in Bourke

Lauren Phillips

economic inequality

Vo Thi Hoang Anh

Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.

normL

Ocean Tennant

3

Rating Matrix of S&P

Rating Matrix

Antonio Espana

Overview of Part E Ch 20 to 24 of Mitchell Wray and Watts Textbook see IM-164967 for book overview

Economic policy in an open economy

Geoff McDonnell

8

Europe Aviation (economic activities)

陳盈璇

DPSIR Framework to Analyze EcoPeace Middle East's Good Water Neighbours Strategy

Alistair Chean

Introduction:

This model demonstrates the COVID-19 outbreak in Bernie, Tasmania, and shows the relationship between coVID-19 outbreaks, government policy and the local economy. The spread of pandemics is influenced by many factors, such as infection rates, mortality rates, recovery rates and government policies. Although government policy has brought the Covid-19 outbreak under control, it has had a negative impact on the financial system, and the increase in COVID-19 cases has had a negative impact on economic growth.

Assumptions:

The model is based on different infection rates, including infection rate, mortality rate, detection rate and recovery rate. There is a difference between a real case and a model. Since the model setup will only be initiated when 10 cases are reported, the impact on infection rates and economic growth will be reduced.

Interesting insights:

Even as infection rates fall, mortality rates continue to rise. However, the rise in testing rates and government health policies contribute to the stability of mortality. The model thinks that COVID-19 has a negative impact on offline industry and has a positive impact on online industry.

Model of COVID-19 outbreak in Burnie, Tasmania

Zilin Wu

WIP Summary of Michael Thompson's Book See also Marco Verweij's 2011 book Clumsy Solutions for a Wicked World

Organising and Disorganising

Geoff McDonnell

Michael Marmot's Eur J Epidemiol Essay 2017 See also IM-62760 Social determinants of health from Michael Marmot's ABC 2016 Boyer Lectures on Social Justice and the Health Gap

Social Justice, Epidemiology and Health Inequalities

Geoff McDonnell

Barangay IRAWAN Systems Model

Biophysical, Socio-cultural & Economic Data of Bgy. IRAWAN

Sitti Mashita J. Kilis

Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.

Oil Price Influencers (3-Loop)

Franz Weismann

10

ECONOMIC INEQUALITY IN SOUTH DAKOTA

Jacinda Maassen

This high-level simulation model presented by Jay Forrester in his book World Dynamics, simulates socio-economic-environmental world system. The world Model was created in a time where pollution and other negative effects of industrialization and economic growth started to become recognized in 1970. For this exam purpose, we have rebuilt the model to do some experiments and analyze the results.

World Model2

Ali Akhlaqi

OVERSHOOT GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite limited size working capacity containers (villages communities)

OVERSHOOT GROWTH INTO TURBULENCE

Guy Lakeman

7

Circular equations WIP for Runy.

Added several versions of the model. Added a flow to make C increase. Added a factor to be able to change the value 0.5.

Circularity in Economic models 1

Geoff McDonnell

The model simulates the local environmental (specifically greenhouse gas emissions), economic, and resource impacts of transitioning from internal combustion engine vehicles (ICEVs) to electric vehicles (EVs) for personal ownership in New York City in the context of a sustainable program of new energy vehicles, which is the context of the current era. To be realistic, we combine delay and stochasticity in this model to simulate the real world. By understanding the model, one can gain insight into the importance of EV penetration for sustainable development.

SUST 1001U 2024 Fall Group 10 - Electrifying NYC: A System Dynamics Model of EV Adoption and Sustainability Impacts