System Dynamics for Sustainable Transportation Policies: A Systematic Literature Review

Abstract Systems Dynamics (SD) is an efficient method that allows to analyze systems with dynamic complexity and policy resistance. The holistic approach of SD is suitable to analyze the current transportation problems. Among the applications of SD in the transportation sector, the use of this tool in the development and implementation of sustainable transport policies stands out. In this context, this paper aims to conduct a systematic literature review to assess the use of SD in the development and implementation of urban policies focused on sustainable transportation. The results show that most studies analyze policies focused on reducing the negative externalities of transportation, highlighting the efforts to reduce air pollutant emissions and traffic congestion. However, we did not find a study that analyzes non-motorized and motorized modes by economic, environmental, social, spatial and traffic variables. At the end of this study, the gaps found in the literature are pointed out, being available to further exploration in future studies.

[1]  F. Armah,et al.  A Systems Dynamics Approach to Explore Traffic Congestion and Air Pollution Link in the City of Accra, Ghana , 2010 .

[2]  Yung-Hsiang Cheng,et al.  Urban transportation energy and carbon dioxide emission reduction strategies☆ , 2015, Applied Energy.

[3]  D. Stead,et al.  Sustainable Urban Transport in the Developing World: Beyond Megacities , 2015 .

[4]  Rajeev Jain,et al.  Evaluating emission mitigation strategies for sustainable transportation system: a system dynamics approach , 2014 .

[5]  L. Guzman,et al.  Optimal and Long-Term Dynamic Transport Policy Design: Seeking Maximum Social Welfare through a Pricing Scheme , 2014 .

[6]  F. Benitez,et al.  Sustainable urban transportation strategies: Searching for synergies , 2016 .

[7]  Manouchehr Vaziri,et al.  Evaluation of sustainable policy in urban transportation using system dynamics and world cities data: A case study in Isfahan , 2015 .

[8]  Armin Leopold,et al.  Energy related system dynamic models: a literature review , 2016, Central Eur. J. Oper. Res..

[9]  James M. Boyle,et al.  A systematic literature review of empirical evidence on computer games and serious games , 2012, Comput. Educ..

[10]  Xiaodong Zhu,et al.  Investigation of a coupling model of coordination between urbanization and the environment. , 2012, Journal of environmental management.

[11]  Sandra J. Milberg,et al.  Information Privacy and Marketing: What the U.S. Should (and Shouldn't) Learn from Europe , 2001 .

[12]  Changshan Wu,et al.  Modeling urban land use conversion of Daqing City, China: a comparative analysis of “top-down” and “bottom-up” approaches , 2014, Stochastic Environmental Research and Risk Assessment.

[13]  Rommert Dekker,et al.  A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS , 2010, J. Assoc. Inf. Sci. Technol..

[14]  R. Hill,et al.  Research, part of a Special Feature on Integrating Indigenous Ecological Knowledge and Science in Natural Resource Management: Perspectives from Australia Innovation in Management Plans for Community Conserved Areas: Experiences from Australian Indigenous Protected Areas , 2013 .

[15]  A. Khakee.  An unbalanced model for sustainable urban development , 2014 .

[16]  G. Papageorgiou,et al.  Investigating learning and diffusion strategies for sustainable mobility , 2019, Smart and Sustainable Built Environment.

[17]  Simon Shepherd,et al.  A review of system dynamics models applied in transportation , 2014 .

[18]  Jairo R. Montoya-Torres,et al.  Multi-criteria approaches for urban passenger transport systems: a literature review , 2015, Ann. Oper. Res..

[19]  D. Tranfield,et al.  Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review , 2003 .

[20]  Glaydston Mattos Ribeiro,et al.  A framework for evaluating the dynamic impacts of the Brazilian Urban Mobility Policy for transportation socioeconomic systems: A case study in Rio de Janeiro , 2020, J. Simulation.

[21]  Fu Chen,et al.  A Practical Approach to Reduce Greenhouse Gas Emissions from Open Dumps through Infrastructure Restructuring: A Case Study in Nanjing City, China , 2018, Sustainability.

[22]  Xavier Fageda,et al.  Congestion, Road Safety, and the Effectiveness of Public Policies in Urban Areas , 2019, Sustainability.

[23]  Pearl Brereton,et al.  Systematic literature reviews in software engineering - A systematic literature review , 2009, Inf. Softw. Technol..

[24]  Dagmara Bubel,et al.  The Smart Freight Project as a Superior Way to Cope with Congestion and Environmental Negative Externalities in Urban Areas , 2016 .

[25]  M. Zolfagharian,et al.  Why, when, and how to combine system dynamics with other methods: Towards an evidence-based framework , 2018, J. Simulation.

[26]  Márcio de Almeida D'Agosto,et al.  Sustainable vehicles-based alternatives in last mile distribution of urban freight transport: A Systematic literature review , 2017 .

[27]  Alexandre Gori Maia,et al.  Effectiveness of low-carbon development strategies: Evaluation of policy scenarios for the urban transport sector in a Brazilian megacity , 2017 .

[28]  Pearl Brereton,et al.  Lessons from applying the systematic literature review process within the software engineering domain , 2007, J. Syst. Softw..

[29]  C. Vaz,et al.  The influence of e-carsharing schemes on electric vehicle adoption and carbon emissions: An emerging economy study , 2020 .

[30]  Omer Tatari,et al.  Investigating carbon footprint reduction potential of public transportation in United States: A system dynamics approach , 2016 .

[31]  Jinhuan Wang,et al.  Sustainable Strategies for Transportation Development in Emerging Cities in China: A Simulation Approach , 2018 .

[32]  Rommert Dekker,et al.  A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS , 2010 .

[33]  Michael G.H. Bell,et al.  System dynamics applicability to transportation modeling , 1994 .

[34]  Antônio Márcio Tavares Thomé,et al.  Conducting systematic literature review in operations management , 2016 .

[35]  David R. Keith,et al.  The Diffusion of Alternative Fuel Vehicles: A Generalised Model and Future Research Agenda , 2020, J. Simulation.

[36]  Peter Knoepfel,et al.  The Adaptation Policy Paradox : the Implementation Deficit of Policies Framed as Climate Change Adaptation , 2013 .

[37]  S. Michie,et al.  Air pollution study confirms concerns over childhood rickets , 2003, Occupational and environmental medicine.

[38]  João P. R. Bernardino,et al.  Parking policy and urban mobility level of service: system dynamics as a modelling tool for decision making , 2013 .

[39]  T. Jamieson,et al.  How Development Affects News Media Coverage of Earthquakes: Implications for Disaster Risk Reduction in Observing Communities , 2019, Sustainability.

[40]  Wlisses Bonelá Fontoura,et al.  The Brazilian urban mobility policy: The impact in São Paulo transport system using system dynamics , 2019, Transport Policy.

[41]  Boqiang Lin,et al.  How China׳s urbanization impacts transport energy consumption in the face of income disparity , 2015 .

[42]  Hyowon Lee,et al.  Toward the sustainable development of urban areas: An overview of global trends in trials and policies , 2015 .

[43]  Hu Peng,et al.  System Dynamics Model of Urban Transportation System and Its Application , 2008 .

[44]  Bon-Gang Hwang,et al.  Using system dynamics to analyze the development of urban freight transportation system based on rail transit: A case study of Beijing , 2020 .

[45]  Lívia Teresinha Salomão Piccinini,et al.  Os desafios para a efetividade da implementação dos planos de mobilidade urbana: uma revisão sistemática , 2018 .

[46]  Islam Safak Bayram,et al.  Impact assessment of supply-side and demand-side policies on energy consumption and CO2 emissions from urban passenger transportation: The case of Istanbul , 2019, Journal of Cleaner Production.

[47]  Andres Monzon,et al.  Modelling land use and transport policies to measure their contribution to urban challenges: the case of Madrid. , 2017 .

[48]  Rochelle Araujo,et al.  The effectiveness of Light Rail transit in achieving regional CO2 emissions targets is linked to building energy use: insights from system dynamics modeling , 2017, Clean Technologies and Environmental Policy.

[49]  O. Franco,et al.  Optimal database combinations for literature searches in systematic reviews: a prospective exploratory study , 2017, Systematic Reviews.

[50]  Anna Goodman,et al.  Trends in local newspaper reporting of London cyclist fatalities 1992-2012: the role of the media in shaping the systems dynamics of cycling , 2016, Accident; analysis and prevention.

[51]  J.D. Sterman,et al.  System Dynamics Modeling: Tools for Learning in a Complex World , 2001, IEEE Engineering Management Review.

[52]  M. Marchetti,et al.  The MIMOSE Approach to Support Sustainable Forest Management Planning at Regional Scale in Mediterranean Contexts , 2017 .