Production
http://www.production.periodikos.com.br/article/doi/10.1590/0103-6513.20190068
Production
Thematic Section - Sustainability in Transportation and Logistics

Sustainability in bicycle sharing systems: evidences of travel mode choice changings in Rio de Janeiro

Yesus Emmanuel Medeiros Vieira; Fábio de Rezende Francisco; Orivalde Soares da Silva Júnior; Renata Albergaria Bandeira; Jose Eugenio Leal

Downloads: 0
Views: 702

Abstract

Abstract: Paper aims: This study aims to analyze the travel behaviors changings and the emissions reduction of CO2, CO, NOx and Particulate Matter (PM) promoted by the bicycle sharing system in the city of Rio de Janeiro.

Originality: The bicycle sharing systems have been experiencing rapid development in recent years, however, few empirical studies explore comprehensively the externalities of bicycle sharing, seeking to quantify the impacts of this travel system type on urban transport.

Research method: The research method used a modal distribution model calibrated with stated preference interviews and travel data provided by Tembici company.

Main findings: Results indicated a reduction in 2018 CO2 emissions compared to the existing system in 2014, not only because of the increase in the bicycle sharing system offer, but also due to a higher transfer rates from motorized transport to bicycle, particularly those originated from public transport and Transportation Network Company (TNC) services.

Implications for theory and practice: Results reveal the bicycle sharing in the city of Rio de Janeiro should be understood as a part of a process of adopting multimodality, with effective reductions achieved by the incentive to change passenger’s travel behavior.

Keywords

Bike sharing system, Environment benefits, Nested logit model

References

Audikana, A., Ravalet, E., Baranger, V., & Kaufmann, V. (2017). Implementing bike sharing systems in small cities: evidence from the Swiss experience. Transport Policy, 55(C), 18-28. http://dx.doi.org/10.1016/j.tranpol.2017.01.005.

Ben-Akiva, M., & Lerman, S. R. (1985). Discrete choice analysis: theory and application to travel demand. New Jersey: MIT Press.

Bierlaire, M. (1998). Discrete choice models. In M. Labbé, G. Laporte, K. Tanczos & P. Toint (Eds.), Operations research and decision aid methodologies in traffic and transportation management (NATO ASI Series, pp. 203-227). Berlin, Heidelberg: Springer.

Brasil. Ministério do Meio Ambiente – MMA. (2013). 2º Inventário Nacional de Emissões Atmosféricas por Veículos Automotores Rodoviários, Brasília: MMA.

Campos, V. B. G. (2006). Uma visão da mobilidade urbana sustentável. Revista dos Transportes Públicos, 2, 99-106.

Clewlow, R. R., & Mishra, G. S. (2017). Disruptive transportation: the adoption, utilization, and impacts of ride-hailing in the United States. Davis: Institute of Transportation Studies, University of California. Research Report UCD-ITS-RR-17-07.

D’Agosto, M. A., & Ribeiro, S. K. (2009). Assessing total and renewable energy in Brazilian automotive fuels. A life cycle inventory (LCI) approach. Renewable & Sustainable Energy Reviews, 13(6-7), 1326-1337. http://dx.doi.org/10.1016/j.rser.2008.08.008.

D’Agosto, M. A., Schmitz, D. N., & Goes, G. V. (2018). Cenários de emissão de gases de efeito estufa até 2050 no setor de transportes: referência e 1,5 °C. In E. L. L. Rovere, W. Wills, C. B. S. Dubeux, A. O. Pereira Junior, M. A. D’Agosto, M. K. C. Walter, C. Grottera, G. Castro, D. Schmitz, O. Hebeda, S. M. Loureiro, D. Oberling, C. Gesteira, G. V. Goes, I. F. Zicarelli, & T. J. P. Oliveira. Implicações Econômicas e Sociais dos Cenários de Mitigação de GEE no Brasil até 2050: Projeto IES-Brasil, Cenário 1.5 °C. Rio de Janeiro: COPPE/UFRJ

DeMaio, P. (2009). Bike-sharing: history, impacts, models of provision, and future. Journal of Public Transportation, 12(4), 41-56. http://dx.doi.org/10.5038/2375-0901.12.4.3.

Federação das Empresas de Transportes de Passageiros do Estado do Rio de Janeiro – FETRANSPOR. (2018). Idade média da frota – Intermunicipal e capital – 1996 a 2018. Retrieved in 2019, July 30, from https://www.fetranspor.com.br/mobilidade-urbana-setor-em-numeros

Fishman, E. K. (2016). Bikeshare: a review of recent literature. Transport Reviews, 36(1), 92-113. http://dx.doi.org/10.1080/01441647.2015.1033036.

Fishman, E., Washington, S., & Haworth, N. (2013). Bikeshare: a synthesis of the literature. Transport Reviews, 33(2), 148-165. http://dx.doi.org/10.1080/01441647.2013.775612.

Fishman, E., Washington, S., Haworth, N., & Watson, A. (2015). Factors influencing bike share membership: an analysis of Melbourne and Brisbane. Transportation Research Part A, Policy and Practice, 71, 17-30. http://dx.doi.org/10.1016/j.tra.2014.10.021.

Frade, I., & Ribeiro, A. (2015). Bike-sharing stations: a maximal covering location approach. Transportation Research Part A, General, 82, 216-227. http://dx.doi.org/10.1016/j.tra.2015.09.014.

García-Palomares, J., Gutiérrez, J., & Latorre, M. (2012). Optimizing the location of stations in bike-sharing programs: a GIS approach. Applied Geography (Sevenoaks, England), 35(1-2), 235-246. http://dx.doi.org/10.1016/j.apgeog.2012.07.002.

Gössling, S. (2018). ICT and transport behavior: a conceptual review. International Journal of Sustainable Transportation, 12(3), 153-164. http://dx.doi.org/10.1080/15568318.2017.1338318.

Guimarães, V. A., & Leal Junior, I. (2017). Performance assessment and evaluation method for passenger transportation: a step toward sustainability. Journal of Cleaner Production, 142, pt 1, 297-307. http://dx.doi.org/10.1016/j.jclepro.2016.05.071.

Hamilton, T. L., & Wichman, C. (2018). Bicycle infrastructure and traffic congestion: evidence from DC’s Capital Bikeshare. Journal of Environmental Economics and Management, 87(C), 72-93. http://dx.doi.org/10.1016/j.jeem.2017.03.007.

Hosmer, D. W., & Lemeshow, S. (2000). Applied logistic regression. (2nd ed.). New York: J. Wiley http://dx.doi.org/10.1002/0471722146.

Instituto Alberto Luiz Coimbra de Pós-graduação e Pesquisa de Engenharia – COPPE. (2011). Inventário e Cenário de Emissões dos Gases de Efeito Estufa da Cidade do Rio de Janeiro. Rio de Janeiro: COPPE. Retrieved in 2019, July 30, from http://www.rio.rj.gov.br/dlstatic/10112/1712030/DLFE-222982.pdf/NelsonSINVENTARIOFINALMAC_Resumo_Geral_Inv_e_Cenario_v05abr_E.pdf

Intelligent Energy Europe. (2011). Optimizing bike sharing in European cities – OBIS (90 p.). Retrieved in 2019, July 30, from https://ec.europa.eu/energy/intelligent/projects/en/projects/obis#results

Kuklys, W. (2002). Stated choice methods: analysis and application, Jordan J. Louviere, David A. Hensher and Joffre D. Swait, Cambridge University Press, ISBN: 0-521-78830-7. Journal of Applied Econometrics, 17(6), 701-704. http://dx.doi.org/10.1002/jae.701.

Li, Z.-C., Yao, M.-Z., Lam, W. H. K., Sumalee, A., & Choi, K. (2014). Modeling the effects of public bicycle schemes in a congested multi-modal road network. International Journal of Sustainable Transportation, 9(4), 282-297. http://dx.doi.org/10.1080/15568318.2013.767398.

Litman, T. (2007). Developing indicators for comprehensive and sustainable transport planning. Transportation Research Record: Journal of the Transportation Research Board, 2017(1), 10-15. http://dx.doi.org/10.3141/2017-02.

Liu, Y., Chen, J., Wu, W., & Ye, J. (2019). Typical combined travel mode choice utility model in multimodal transportation network. Sustainability, 11(2), 549. https://doi.org/10.3390/su11020549.

McKenzie, G. (2019). Spatiotemporal comparative analysis of scooter-share and bike-share usage patterns in Washington, D.C. Journal of Transport Geography, 2019(1), 19-28. http://dx.doi.org/10.1016/j.jtrangeo.2019.05.007.

Midgley, P. (2011). Bicycle-sharing schemes: enhancing sustainable mobility in urban areas. New York: United Nations. Retrieved in 2019, July 30, from http://www.un.org/esa/dsd/resources/res_pdfs/csd-19/Background-Paper8-P.Midgley-Bicycle.pdf

Mobilize Website. (2018). Bike sharing, um mercado em franca expansão. Retrieved in 2019, July 30, from http://www.mobilize.org.br/noticias/10862/bike-sharing-um-mercado-em--franca- xpansao.html

Noland, R. B., & Ishaque, M. M. (2006). Smart Bicycles in an Urban Area: Evaluation of a Pilot Scheme in London. Journal of Public Transportation, 9(5), 71-95. http://dx.doi.org/10.5038/2375-0901.9.5.5.

Observatório das Metrópoles. (2012). Níveis de integração dos municípios brasileiros em RMs, RIDEs e AUs. À dinâmica da metropolização (Relatório de Pesquisa, 108 p.) Rio de Janeiro: Observatório das Metrópoles.

Oliveira, A. (2014). Contribuição e perspectivas do sistema de compartilhamento de bicicletas para mobilidade e sustentabilidade na cidade do Rio de Janeiro (Dissertação de mestrado). Departamento de Engenharia Civil Pontifícia, Universidade Católica do Rio de Janeiro, Rio de Janeiro.

Ortúzar, J. D. (2000). Modelos econométricos de elección discreta. Chile: Ediciones Universidad Católica de Chile. Retrieved in 2019, July 30, from http://www.researchgate.net/publication/ 230752816_Modelos_ Econometricos_de_Eleccion_Discreta

Parkes, S., Marsden, G., Shaheen, S., & Cohen, A. (2013). Understanding the diffusion of public bike sharing systems: evidence from Europe and North America. Journal of Transport Geography, 31, 94-103. http://dx.doi.org/10.1016/j.jtrangeo.2013.06.003.

Pembinas Institute. (2019). Canada’s Coolest Cities looked at the question: “What are Canada’s large cities doing to encourage low-carbon choices for personal transportation?” Retrieved in 2019, January 1, from https://www.pembina.org/reports/coolest-cities-case-study-montreal.pdf

Pucher, J., Garrard, J., & Greaves, S. (2010). Cycling down under: a comparative analysis of bicycling trends and policies in Sydney and Melbourne. Journal of Transport Geography, 9, 332-345. http://dx.doi.org/10.1016/j.jtrangeo.2010.02.007.

Qiu, L. Y., & He, L. Y. (2018). Bike sharing and the economy, the environment, and health-related externalities. Sustainability, 10(4), 1145. http://dx.doi.org/10.3390/su10041145.

Rio de Janeiro. Governo. (2015). PDTU: Plano Diretor de Transporte da Região Metropolitana do Estado do Rio de Janeiro: Relatório 4 – Planejamento e Execução das Pesquisas: Parte 3 (Tomo I): Diagnóstico da Situação Atual. Rio de Janeiro: Secretaria de Transportes.

Rio de Janeiro. Governo. (2018). Matriz Energética do Estado do Rio de Janeiro. Rio de Janeiro: Subsecretaria de Desenvolvimento Econômico.

Shaheen, S. A., Martin, E. W., Chan, N. D., Cohen, A. P., & Pogodzinski, M. (2014). Public bike sharing in North America during a period of rapid expansion: understanding business models, industry trends and user impacts. San Jose, CA: Mineta Transportation Institute. Retrieved in 2019, January 30, from http://transweb.sjsu.edu/PDFs/research/1131-public-bikesharingbusiness-models-trends-impacts.pdf

Shaheen, S. A., Zhang, H., Martin, E., & Guzman, S. (2011). China’s Hangzhou Public Bicycle. Transportation Research Record: Journal of the Transportation Research Board, 2247(1), 33-41. http://dx.doi.org/10.3141/2247-05.

Shaheen, S., Guzman, S., & Zhang, H. (2010). Bikesharing in Europe, the Americas, and Asia: Past, Present, and Future. Davis: Institute of Transportation Studies. http://doi.org/10.3141/2143-20.

Shaheen, S., Martin, E., & Cohen, A. (2013). Public bike sharing and modal shift behavior: a comparative study of early bike sharing systems in North America. International Journal of Transportation, 1(1), 35-54. http://dx.doi.org/10.14257/ijt.2013.1.1.03.

SPSS Inc. (2003). Statistical Package for Social Sciences: brief guide (71 p). Chicago: SPSS Inc.

Suchanek, M. (2018). New research trends in transport sustainability and innovation: TranSopot 2017 Conference . USA: Springer.

Wang, M., & Zhou, X. (2017). Bike-sharing systems and congestion: evidence from US cities. Journal of Transport Geography, 65, 147-154. http://dx.doi.org/10.1016/j.jtrangeo.2017.10.022.

Williams, H. C. W. L., & Abdulaal, J. (1993). Public transport services under market arrangements, part I: A model of competition between independent operators. Transportation Research Part B: Methodological, 27(5), 369-387. http://dx.doi.org/10.1016/0191-2615(93)90023-4.

Wolf, A., & Seebauer, S. (2014). Technology adoption of electric bicycles: a survey among early adopters. Transportation Research Part A, Policy and Practice, 69, 196-211. http://dx.doi.org/10.1016/j.tra.2014.08.007.

Zhang, Y., & Mi, Z. (2018). Environmental benefits of bike sharing: a big data-based analysis. Applied Energy, 220, 296-301. http://dx.doi.org/10.1016/j.apenergy.2018.03.101.

Zhu, W., Pang, Y., Wang, D., & Yu, X. (2012). Travel behavior change after the introduction of public bicycle system: a case study of Minhang District, Shanghai. Washington: TRB.
 

5f6381af0e8825f113c2702e production Articles
Links & Downloads

Production

Share this page
Page Sections