System Dynamics for Sustainable Transportation Policies: A Systematic Literature Review

Wlisses Bonelá Fontoura, Glaydston Mattos Ribeiro

Resumo


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.


Palavras-chave


Sustainable transportation. Urban mobility. Urban policies. System dynamics. Systematic literature review

Texto completo:

PDF

Referências


Abbas, K. A., & Bell, M. G. H. (1994). System dynamics applicability to transportation modeling. Transportation Research

Part A: Policy and Practice, 28(5), 373-390. http://dx.doi.org/10.1016/0965-8564(94)90022-1

Albalate, D., & Fageda, X. (2019). Congestion, road safety, and the effectiveness of public policies in urban areas.

Sustainability, 11(18), 1-21. http://dx.doi.org/10.7213/10.3390/su11185092

Alonso, A., Monzón. A., & Wang, Y. (2017). Modeling land use and transport policies to measure their contribution to

urban challenges: The case of Madrid. Sustainability, 9(378), 1-28, http://dx.doi.org/10.3390/su9030378

Armah, F., A., Yawson, D. O., & Pappoe, A. N. M. (2010). A system dynamics approach to explore traffic congestion and

air pollution in the city of Accra, Ghana. Sustainability, 2(1), 252-265. http://dx.doi.org/10.3390/su2010252

Batur, I., & Koc, M. (2017). A review of System Dynamics applications in sustainable urban transportation. Proceedings

of the European conference on sustainability, energy & the environment, July 9-10, Brighton, United Kingdom.

Batur, I., Islam, S. B., & Koc, M. (2019). Impact assessment of supply-side and demand-side policies on energy

consumption and CO2 emissions from urban passenger transportation: The case of Istanbul. Journal of Cleaner

Production, 219, 319-410. http://dx.doi.org/10.1016/j.jclepro.2019.02.064

Bisen, A., Verma, P., Chaube, A., & Jain, R. (2014). Evaluating emission mitigation strategies for sustainable

transportation system: a system dynamics approach. World Review of Intermodal Transportation Research, 5(2), 101-

http://dx.doi.org/10.1504/WRITR.2014.067228

Bernardino, J. P. R., & Van der Hoofd, M. (2013). Parking policy and urban mobility level of service – System Dynamics

as a modelling tool for decision making. European Journal of Transport and Infrastructure Research, 13(3), 239-258.

http://dx.doi.org/10.18757/ejtir.2013.13.3.3001

Bramer, W. M., Rethlefsen, M. L., Kleijnen, J., & Franco, O. (2017). Optimal database combinations for literature searches

in systematic reviews: a prospective exploratory study. Systematic Reviews, 6(245), 1-12.

http://dx.doi.org/10.1186/s13643-017-0644-y.

Brereton. P., Kitchenham, B. A., Budgen, D., Turner, M., & Khalil, M. (2007). Lessons from applying the systematic

literature review process within the software engineering domain. The Journal of Systems and Software 80(4):571-583.

http://dx.doi.org/ 10.1016/j.jss.2006.07.009

Bubel, D., & Szymczyk, K. (2016). The Smart Freight projects as a superior way to cope with congestion and

environmental negative externalities in urban areas. Transportation Research Procedia, 16, 25-34.

http://dx.doi.org/10.1016/j.trpro.2016.11.004

Cheng, Y., Chang, Y., & Lu, I. J. (2015). Urban transportation energy and carbon dioxide emission reduction strategies.

Applied Energy, 157, 953-973. http://dx.doi.org/10.1016/j.apenergy.2015.01.126

Connolly, T. M., Boyle, E. A., MacArthur, E., Hainey, T., & Boyle, J. M. (2012) A systematic literature review of empirical

evidence on computer games and serious games. Computer & Education, 59, 661-686.

http://dx.doi.org/10.1016/j.compedu.2012.03.004

Dupuis, J., & Knoepfel, P. (2013). The adaptation policy paradox: The implementation deficit of policies framed as

climate change adaptation. Ecology and Society, 18(4), 1-16. http://dx.doi.org/10.5751/ES-05965-180431

Eck, N. J., Waltman, L., Dekker, R., & Berg, J. (2010). A comparison of Two Techniques for Bibliometric Mapping:

Multidimensional Scaling and VOS. Journal of the American Society for Information Science and Technology, 61(12),

-2416. http://dx.doi.org/10.1002/asi.21421

Ercan T., Onat, N. C., & Tatari, O. (2016). Investigating carbon footprint reduction potential of public transportation in

United States: A system dynamic approach. Journal of Cleaner Production, 133(1), 1260-1276.

http://dx.doi.org/10.1016/j.jclepro.2016.06.051

Fontoura, W. B., Chaves, G. L. D., & Ribeiro, G. M. (2019a). The Brazilian Urban Mobility Policy: The impact in São Paulo

transport system using system dynamics. Transport Policy, 73, 51-61. http://dx.doi.org/10.1016/j.tranpol.2018.09.014

Fontoura, W. B., Ribeiro, G. M., Chaves, G. L. D. (2019b). A framework for evaluating dynamic impacts of the Brazilian

Urban Mobility Policy for transportation socioeconomic systems: A case study in Rio de Janeiro. Journal of Simulation,

http://dx.doi.org/10.1080/17477778.2019.1701392

Guzman, L. A., de la Hoz, D., & Monzón, A. (2014). Optimal and long-term dynamic transport policy design: Seeking

maximum social welfare through a pricing scheme. International Journal of Sustainable Transportation, 8(4), 297-316.

http://dx.doi.org/10.1080/15568318.2012.696772

Haghshenas, H., Vaziri, M., & Gholamialam, A. (2015). Evaluation of sustainable policy in urban transportation using

system dynamics and world cities data: A case study in Isfahan. Cities, 45, 104-115.

http://dx.doi.org/10.1016/j.cities.2014.11.003

Hassan, A., M., & Lee. H. (2015). Toward the sustainable development of urban areas: An overview of global trends in

trials and policies. Land Use Policy, 48, 199-212. http://dx.doi.org/10.1016/j.landusepol.2015.04.029

Hu, W., Dong, J., Hwang, B., Ren, R., Chen, Y., & Chen, Z. (2020). Using system dynamics to analyze the development of

urban freight transportation system based on rail transit: A case study of Beijing. Sustainable Cities and Society, 53, 1-

http://dx.doi.org/10.1016/j.scs.2019.101923

Keith, D. R., Struben, J. J. R., & Naumov, S. (2020). The diffusion of alternative fuel vehicles: A generalized model and

future research agenda. Journal of Simulation. http://dx.doi.org/10.1080/17477778.2019.1708219

Khakee, A. (2014). An unbalanced model for sustainable urban development. International Journal of Urban Sustainable

Development, 6(1), 52-64. http://dx.doi.org/10.1080/19463138.2013.870765

Khanna, I. K., Singh, N., Vrat, P. (1985). System Dynamics in Urban Transportation Planning and Policy Analysis.

Proceedings of the Conference of the System Dynamics Society, Keystone, CO, 453-462.

Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in

software engineering – A systematic literature review. Information and Software Technology, 51(1), 7-15,

http://dx.doi.org/10.1016/j.infsof.2008.09.009

Leopold, A. (2016). Energy related system dynamic models: a literature review. Central European Journal of Operations

Research, 24, 231-261. http://dx.doi.org/10.1007/s10100-015-0417-4

Li, Y., Li, Y., Zhou, Y., Shi, Y., & Zhu, X. (2012). Investigating of a coupling model of coordination between urbanization

and the environment. Journal of Environmental Management, 98, 127-133.

http://dx.doi.org/10.1016/j.jenvman.2011.12.025

Li, W., Wu, C., & Zang, S. (2014). Modeling urban land use conversion of Daqing City, China: a comparative analysis of

“top-down” and “bottom-up” approaches. Stochastic Environmental Research and Risk Assessment, 28(4), 817-828.

http://dx.doi.org/10.1007/s00477-012-0671-0

Lin, B., & Du, Z. (2015). How China’s urbanization impacts transport energy consumption in the face of income

disparity. Renewable and Sustainable Energy Cities, 52, 1693-1701. http://dx.doi.org/10.1016/j.rser.2015.08.006

Litman, T. (2019). Well Measured: Developing indicators for sustainable and livable transport planning. Victoria

Transport Policy, Victoria, BC, Canada.

Liu, H., Liu, T., Liu, L., Guo, H. C., Yu, Y. J., &Wang, Z. (2010). Integrated simulation and optimization approach for the

urban transportation-environmental system in Beijing. Journal of Environmental Informatics, 15(2), 99-111.

http://dx.doi.org/10.3808/jei.201000170

Luna, T. F., Uriona-Maldonado, M., Silva, M. E., & Vaz, C. R. (2020). The influence of e-carsharing schemes on electric

vehicle option and carbon emissions: An emerging economy study. Transportation Research Part D, 70, 1-14.

http://dx.doi.org/10.1016/j.trd.2020.102226

Machado, L., & Piccini, L. S. (2018). Os desafios para a efetividade da implementação dos planos de mobilidade urbana.

urbe. Revista Brasileira de Gestão Urbana, 10(1), 72-94. http://dx.doi.org/10.1590/2175-3369.010.001.AO06

Macmillan, A., Roberts, A., Woodcock, J., Aldred, R., & Goodman, A. (2016). Trends in local newspaper reporting of

London cyclist facilities 1992-2012: the role of the media in shaping the systems dynamics of cycling. Accident Analysis

and Prevention, 86, 137-145. http://dx.doi.org/10.1016/j.aap.2015.10.016

Manivannan, G., & Sanjeevi, K. (2012). The Indian Journal of Medical Research (2000-2005): A Bibliometric Analysis.

Journal of Advances in Library and Information Science, 2, 100-103.

Menezes, E., Maia, A. G., & de Carvalho, C. S. (2017). Effectiveness of low-carbon development strategies: Evaluation of

policy scenarios for the urban transport sector in a Brazilian megacity. Technological Forecasting & Social Change, 114,

-241. http://dx.doi.org/10.1016/j.techfore.2016.08.016

Michie, S., & Williams, S. (2003). Reducing work related psychological ill health and sickness absence: a systematic

literature review. Occupational and Environmental Medicine, 60, 3-9. http://dx.doi.org/10.1136/oem.60.1.3

Oliveira, C. M., Bandeira, R. A. M., Goes, G. V., Gonçalves, D. N. S., & D’agosto, M. A. (2017). Sustainable vehicles-based

alternatives in last mile distribution of urban freight transport: a systematic literature review. Sustainability, 9(8), 1-

http://dx.doi.org/10.3390/su9081324

Papageorgiou, G., & Demetriou, G. (2019). Investigating learning and diffusion strategies for sustainable mobility.

Smart and Sustainable Built Environment. http://dx.doi.org/10.1108/SASBE-02-2019-0020

Pérez, J. C., & Carillo, M. H. (2014). Multi-criteria approaches for urban passenger transport systems: a literature

review. Annals of Operations Research, 226(1), 69-87. http://dx.doi.org/10.1007/s10479-014-1681-8

Pfaffenbichler, P. (2003). The strategic dynamic and integrated urban land use transport model MARS (PhD Thesis).

Technical University of Vienna, Wien, Austria.

Pojani, D., & Stead, D. (2015). Sustainable urban transport in the developing world: Beyond megacities. Sustainability,

(6), 7784-7805. http://dx.doi.org/10.3390/su7067784

Procter, A., Bassi, A., Kolling, J., Cox, L., Flanders, N., Tanners, N., & Araujo, R. (2017). The effectiveness of Light Rail

transit in achieving regional CO2 emissions targets is linked to building energy use: insights from system dynamics

modeling. Clean Technologies and Environmental Policy, 19(5). 1459-1474. http://dx.doi.org/10.1007/s10098-017-

-z

Shen, L., Du, L., Yang, X., Du, X., Wang, J., & Hao, J. (2018). Sustainable strategies for transportation development in

emerging cities in China: A simulation approach. Sustainability, 10(844), 1-22. http://dx.doi.org/10.3390/su10030844

Shepherd, S. P. (2014). A review of system dynamics models applied in transportation. Transportmetrica B: Transport

Dynamics, 2(2), 83-105. http://dx.doi.org/10.1080/21680566.2014.916236

Sterman, J. (2000). Business Dynamics: System Thinking and Modelling for a Complex World. New York, USA: McGrawHill.

Sterman, J. D. (2001). System Dynamics modeling tool for learning a complex world. California Management Review,

(4), 8-25. http://dx.doi.org/10.2307/41166098

Thomé, A. M. T., Scarvada, L. P., & Scarvada, A. J. (2016). Conducting systematic literature review in operations

management. Production Planning & Control, 27(5), 408-420. http://dx.doi.org/10.1080/09537287.2015.1129464

Tranfield, D., Denyer, D., & Smart. P. (2003). Towards a methodology for developing evidence-informed management

knowledge by means of systematic review. British Journal of Management, 14, 207-222.

http://dx.doi.org/10.1111/1467-8551.00375

Valdes, C., Monzon, A., & Benitez, F. G. (2016). Sustainable urban transportation strategies: Searching for synergies.

KSCE Journal of Civil Engineering, 20(3), 1066-1075. http://dx.doi.org/10.1007/s12205-016-0685-0

Wen, L., Cao, Y., & Weng, J. (2015). System dynamics method for scenario simulation analysis of urban traffic CO2

emissions in Baoding. Journal of Information and Computational Science, 12(9), 3431-3443. http://dx.doi.org/

12733/jics20106019

Wang, J., Lu, H., & Peng, H. (2008). System Dynamics Model of Urban Transportation System and Its Application.

Journal of Transportation Systems Engineering and Information Technology, 8(3), 83-89.

http://dx.doi.org/10.1016/S1570-6672(08)60027-6

Zolfagharian, M., Romme, A. G. L., & Walrave, B. (2018) Why, when and how to combine system dynamics with other

methods: Towards an evidence-based framework. Journal of Simulation, 12(2), 98-114.

http://dx.doi.org/10.1080/17477778.2017.1418639


Apontamentos

  • Não há apontamentos.