A framework for evaluating the dynamic impacts of the Brazilian Urban Mobility Policy for transportation socioeconomic systems: A case study in Rio de Janeiro

References

• Abidin, N. Z., Mamat, M., Dangerfield, B., Zulkepli, J. H., Baten, N. M. A., & Wibowo, A. (2014). Combating obesity though healthy eating behavior: A call for system dynamics optimization. Plos One, 9(12), 114–135.
   Web of Science ®Google Scholar
• Andrade, C. E. S., D’Agosto, M. A., & Souza, A. S. M. (2017, October). A contribuição ambiental proporcionada pelas operações de sistemas metroferroviários de passageiros, visando à redução das emissões totais de CO2 do setor de transportes de uma região: Aplicação nos sistemas do Rio de Janeiro – Metrô e SuperVia [The environmental contribution provided by the passenger railroad systems operations, aiming at reducing the transportation sector’s total CO2 emissions in a region: Application in the Rio de Janeiro systems – Subway and Train]. Proceedings of the 23th Railroad Technology Week (pp. 1–30). São Paulo, Brazil: AEAMESP.
   Google Scholar
• ANTP – Brazilian Association of Public Transports. (2016). Sistema de informações da mobilidade urbana: Relatório geral 2014 [Urban Mobility Information System: General report 2014]. Retrieved from http://files.antp.org.br/2016/9/3/sistemasinformacao-mobilidade–geral_2014.pdf
   Google Scholar
• Bedadala, S., & Mallikarjuna, C. (2016). Factors influencing non-motorized mode choice: A review. International Journal for Research in Applied Science & Engineering, 4(2), 27–33.
   Google Scholar
• Bernardino, J. P. R., & Hoofd, M. V. D. (2013). Paring policy and urban mobility level of service-system dynamics as a modelling tool for decision making. European Journal of Transportation and Infrastructure Research, 13(3), 239–258.
   Web of Science ®Google Scholar
• Brazil. (2012). Lei n° 12.587, de 3 de janeiro de 2012. Institui as diretrizes da Política Nacional de Mobilidade Urbana [Law No. 12.587, January 3, 2012. It establishes the guidelines of the Brazilian Urban Mobility Policy]. Brasília: Presidência da República.
   Google Scholar
• Brazil. (2018). Lei n° 13.683, de 19 de junho de 2018. Altera as Leis n º 13.089, de 12 de janeiro de 2015 (Estatuto da Metrópole), e 12.587, de 3 de janeiro de 2012, que institui as diretrizes da Política Nacional de Mobilidade Urbana. [Modify Laws No. 13.089, January 12, 2015 (The Metropolis Statute), and 12.587, January 3, 2012, it establishes the guidelines of the Brazilian Urban Mobility Policy]. Brasília: Presidência da República.
   Google Scholar
• Brazil Ministry of Infrastructure. (2014). 1ª Palestra Técnica – DERIN: VLT - Veículo Leve sobre Trilhos [1st technical lecture - DERIN: LRT – Light Rail Vehicle]. Retrieved from: http://www.transportes.gov.br/images/Materiais_Cursos_Palestras/PDF_docs/1Derin_VLT.pdf.
   Google Scholar
• Brazil, The Chamber of Deputies. (2015). Os desafios da mobilidade urbana. [Mobility urban challenges]. Brasília: Câmara dos Deputados.
   Google Scholar
• BRTRIO. (2016). Conheça o BRT. [Meet the BRT]. Retrieved from http://brtrio.com
   Google Scholar
• Bureal of Transportation Statistics. (2017). Table 1–36M: Roadway Vehicle-Kilometers Traveled (VKT) and VKT per Lane-Kilometers by Functional Class (a). Retrieved from https://www.bts.gov/archive/publications/national_transportation_statistics/table_01_36_m
   Google Scholar
• Carioca, V. L. T. (2018a). Sobre o VLT [About the LRT]. Retrieved from http://www.vltrio.com.br
   Google Scholar
• Carioca, V. L. T. (2018b). Information provided by the VLT Carioca’s contact us page.
   Google Scholar
• Carvalho, C. H. R. (2011). Emissões relativas de poluentes do transporte motorizado de passageiros nos grandes centros urbanos brasileiros [Relative emissions of pollutants from motorized transport passengers in large Brazilian urban centres]. Brasília: The Institute of Applied Economic Research – IPEA.
   Google Scholar
• CNT – Brazilian Transport Confederation, NTU – Brazilian Association of Urban Transport Companies. (2017). Pesquisa de Mobilidade da População Urbana 2017 [Urban population mobility survey 2017]. Brasília: CNT&NTU.
   Google Scholar
• Coyle, R. G. (1996). System dynamics modelling a practical approach. Boca Raton, FL, US: CRC Press.
   Google Scholar
• DNIT – Brazilian Department of Transport Infrastructure. Custo médio gerencial [Average cost management]. (2018). Retrieved from https://ww2.ibge.gov.br/home/estatistica/populacao/trabalhoerendimento/pnad2014/default.shtm
   Google Scholar
• EBC – Brazil Communications Company. (2018). Número de turistas estrangeiros no país bate recorde em 2017 e chega 6,5 milhões [Number of foreign tourists in Brazil hits record in 2017, reaching 6.5 million]. Retrieved from http://agenciabrasil.ebc.com.br/economia/noticia/2018-03/numero-de-turistas-estrangeiros-no-pais-bate-recorde-em-2017-e-chega-65
   Google Scholar
• Euromonitor international. 2017. Top 100 city destination ranking. London: World Travel Market. Retrieved from http://go.euromonitor.com/World-Travel-Market-2017-Thank-You-2.html?aliId=167587736
   Google Scholar
• Fontoura, W. B., Chaves, G. L. D., & Ribeiro, G. M. (2019). The Brazilian Urban Mobility Policy: The impact in São Paulo transport system using system dynamics. Transport Policy, 73, 51–61.
   Web of Science ®Google Scholar
• Government of Rio de Janeiro (2015). Plano Diretor de Transporte Urbano - PDTU [Urban Transport Master Plan – UTMP]. Retrieved from http://www.rj.gov.br/web/setrans/exibeconteudo?article-id=626280
   Google Scholar
• IBGE – The Brazilian Institute of Geography and Statistics (2008). Projeção da população do brasil por sexo e idade – 1980-2050 [population projection of brazil by sex and age: 1980-2050]. Retrieved from https://biblioteca.ibge.gov.br/visualizacao/livros/liv41229.pdf
   Google Scholar
• IBGE – The Brazilian Institute of Geography and Statistics. (2015). Produto Interno Bruto dos Municípios [Gross Domestic Product of municipalities]. Retrieved from https://www.ibge.gov.br/estatisticas-novoportal/economicas/contas-nacionais/9088-produto-interno-bruto-dos-municipios.html?=&t=o-que-e
   Google Scholar
• IBGE – The Brazilian Institute of Geography and Statistics. (2017). Cidades e Estados [Cities and States]. Retrieved from https://www.ibge.gov.br/cidades-e-estados.html
   Google Scholar
• IBGE – The Brazilian Institute of Geography and Statistics (2018a). Produto Interno Bruto - PIB [Gross Domestic Product - GDP]. Retrieved from https://www.ibge.gov.br/explica/pib.php
   Google Scholar
• IBGE – The Brazilian Institute of Geography and Statistics. (2018b). Projeção da População do Brasil e das Unidades de Federação [Brazil and Federation Units’ population projection] Retrieved from https://www.ibge.gov.br/apps/populacao/projecao/index.html
   Google Scholar
• Invepar. (2018). METRÔRIO. Retrieved from http://www.invepar.com.br/show.aspx?idMateria=DkbIADyFAEZGlkX6rD5JXw=
   Google Scholar
• ITDP – The Institute for Transportation and Development Policy (2016). Infographic: Rapid Transit to Resident Ratio (RTR). Retrieved from https://www.itdp.org/2016/01/25/infographic-rapid-transit-to-resident-ratio-rtr/
   Google Scholar
• ITDP – The Institute for Transportation and Development Policy, EMTU – The Metropolitan Company of Urban Transport of São Paulo. (2017). Reflexões sobre Mobilidade Urbana Sustentável e Sistemas BRT [Reflections on sustainable urban mobility and BRT systems]. Retrieved from https://go.itdp.org/
   Google Scholar
• Jia, J., Yan, G., Shen, A., & Zheng, J. (2017). A system dynamics model for determining the traffic congestion charges and subsidies. Arabian Journal for Science and Engineering, 42(12), 5291–5304.
   Web of Science ®Google Scholar
• Jin, J., & Rafferty, P. (2017). Does congestion negatively affect income growth and employment growth? Empirical evidence from US metropolitanregions. Transport Policy, 55, 1–8.
   Web of Science ®Google Scholar
• Liu, X., Shoufeng, M., Tian, J., Jia, N., & Li, G. (2015). A system dynamics approach to scenario of analysis for urban passenger transport energy consumption and CO2 emissions: A case study of Beijing. Energy Policy, 85(8), 253–270.
   Google Scholar
• Maciel, A. B. L., & Freitas, A. L. P. (2015). Sustainable urban mobility: A multicriteria experimental approach conducted in Brazil. Progress in Industrial Ecology, an International Journal, 9(4), 356–375.
   Google Scholar
• Maranhão, I. G. O., Orrico Filho, R. D., & Santos, E. M. (2017). The government perspective urban mobility plan-making: The case of the peripheral municipalities of Rio de Janeiro area. Revista Produção E Desenvolvimento, 3(3), 117–135.
   Google Scholar
• Marx, R., de Mello, A. M., Zilbovicius, M., & de Lara, F. F. (2015). Spatial contexts and firm strategies: Applying the multilevel perspective to sustainable urban mobility transitions in Brazil. Journal of Cleaner Production, 108, 1092–1104.
   Web of Science ®Google Scholar
• Mercedes-Benz. (2018). BRT solutions. Retrieved from https://www.mercedes-benz-bus.com/de_DE/buy/bus-rapid-transit.html
   Google Scholar
• Milaré, E. (2016). Política Nacional de Mobilidade Urbana [Brazilian Urban Mobility Policy]. Revista Jurídica Da Universidade Do Sul De Catarina, 7(12), 59–67.
   Google Scholar
• Miranda, H. F., & Silva, A. N. R. (2012). Benchmarking sustainable urban mobilty: The case of Curitiba, Brazil. Transport Policy, 21, 141–151.
   Web of Science ®Google Scholar
• Perkins and Will. (2018). Designing for future mobility: Developing a framework for the livable future city. Retrieved from https://ca.perkinswill.com/sites/default/files/Designing_for_Future_Mobility_Report.pdf
   Google Scholar
• Pfaffenbichler, P., Emberger, G., & Shepherd, S. (2010). A system dynamics approach to land use transport interaction modelling: The strategies model MARS and its application. System Dynamics Review, 26(3), 262–282.
   Web of Science ®Google Scholar
• Rees, D., Stephenson, J., Hopkins, D., & Doering, A. (2017). Exploring stability and change in transportation systems: combining Delphi and system dynamics approaches. Transportation, 44(4), 789–805.
   Web of Science ®Google Scholar
• Replogle, M. A., & Fulton, L. M. (2014). A global high shift scenario: Impacts and potential for more public transport walking and cycling with lower car use. New York, USA: The Institute for Transportation and Development Policy - ITDP.
   Google Scholar
• Resende, P. T. V., & Souza, P. R. (2009). Mobilidade urbana nas grandes cidades [Urban mobility in large cities]. Nova Lima: Fundação Dom Cabral.
   Google Scholar
• Rio de Janeiro City Hall. (2014). Plano de Mobilidade Urbana Sustentável da Cidade do Rio De Janeiro [Rio de Janeiro’s sustainable urban mobility plan]. Retrieved from http://www.rio.rj.gov.br/web/pmus
   Google Scholar
• Rio de Janeiro City Hall. (2016a). Relatório do desempenho da prefeitura da cidade do Rio de Janeiro frente à Lei da Responsabilidade Fiscal [Performance report of the City Hall of Rio de Janeiro front the fiscal responsibility Law], Prefeitura do Rio de Janeiro. Retrieved from http://www.rio.rj.gov.br/dlstatic/10112/2973689/4190101/RelatoriodeAudienciaPublica27042017.pdf
   Google Scholar
• Rio de Janeiro City Hall. (2016b). Prestação de contas 2016 [Accountability 2016]. Retrieved from http://www.rio.rj.gov.br/dlstatic/10112/1521865/4188801/LivroOficialdaPC2016.pdf
   Google Scholar
• Rio de Janeiro City Hall. (2017). Rio Conecta [Connects Rio]. Retrieved from http://www.rio.rj.gov.br/web/smu/exibeconteudo?id=7301546
   Google Scholar
• Rio de Janeiro City Hall. (2018). Movimento de passageiros segundo os transportes rodoviário, ferroviário, hidroviário e aeroviário no Município do Rio de Janeiro entre 1995–2017 [Movement of passengers by road, rail, waterway and air transportation in the Municipality of Rio de Janeiro between 1995 and 2017]. Retrieved from http://www.data.rio/datasets?group_ids=cbe84df2333a463b9d4e20aca5177936&sort=-updatedAt&utm_source=transporte
   Google Scholar
• Sabounchi, N. S., Triantis, K. P., Sarangi, S., & Liu, S. (2014). Dynamic simulation modeling and policy analysis of an area-based congestion pricing scheme for a transportation socioeconomic system. Transportation Research Part A: Policy and Practice, 59, 357–383.
   Web of Science ®Google Scholar
• Sayyadi, R., & Awasthi, A. (2017). A system dynamics based simulation model to evaluate regulatory policies for sustainable transportations planning. International Journal of Modelling and Simulation, 37(1), 25–35.
   Google Scholar
• Shepherd, S. P. (2014). A review of system dynamics models applied in transportation. Transportmetrica B: Transport Dynamics, 2(2), 83–105.
   Web of Science ®Google Scholar
• Sterman, J. (2000). Business dynamics: System thinking and modelling for a complex world. New York, NY: McGraw-Hill.
   Google Scholar
• Sudário, N. C. S., & Hernandez, I. R. S. O. (2014). Planos de Mobilidade Urbana, seus princípios e desafios: Relatos da experiência de elaboração do PLANMOB no município de São Sebastião do Paraíso – MG [Urban Mobility Plans, its principles and challenges: Reports of the experience of preparing PLANMOB in the city of São Sebastião do Paraíso - MG]. Cadernos Da FUCAMP, 13(19), 1–17.
   Google Scholar
• SuM4AllTM – Sustainable Mobility for All (2017). Global mobility report 2017: Tracking sector performance. Retrieved from https://openknowledge.worldbank.org/bitstream/handle/10986/28542/120500.pdf
   Google Scholar
• SuperVia (2016). Quem somos (Who we are). Retrieved from http://www.supervia.com.br/pt-br/quem-somos
   Google Scholar
• Vasconcellos, E. A., & Mendonça, A. (2010). Política Nacional de Transporte Público no Brasil: Organização de implantação de corredores de ônibus [National public transport policy in Brazil: Implementation of bus corridors]. Revista De Transportes Públicos [Journal of Public Transport], 33(3), 73–95.
   Google Scholar
• 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, 48(3), 83–89.
   Google Scholar
• Wen, L., & Bai, L. (2017). System dynamics modeling and policy simulation for urban traffic: A case study in Beijing. Environmental Modeling & Assessment, 22(4), 363–378.
   Web of Science ®Google Scholar
• Yang, Y., Zhang, P., & Ni, S. (2014). Assessment of the impacts of urban rail transit on metropolitan regions using system dynamics model. Transportation Research Procedia, 4, 521–534.
   Google Scholar
• York, T. A., Brent, A. C., Musango, J. K., & Kock, I. H. (2017). Infrastructure implications of a green economy transition in the Western Cape Province of South Africa: A system dynamics modelling approach. Development Southern Africa, 34(5), 529–547.
   Web of Science ®Google Scholar