Escolha de rotas a pé – método e estudo exploratório

Autores

  • Júlio Celso Borello Vargas Universidade Federal do Rio Grande do Sul, Rio Grande do Sul – Brasil https://orcid.org/0000-0001-8321-5362
  • Ana Margarita Larranaga Uriarte Universidade Federal do Rio Grande do Sul, Rio Grande do Sul – Brasil
  • Helena Beatriz Bettella Cybis Universidade Federal do Rio Grande do Sul, Rio Grande do Sul – Brasil

DOI:

https://doi.org/10.14295/transportes.v30i1.2636

Palavras-chave:

Escolha discreta, Ambiente construído, Viagens a pé, Caminhabilidade, Mobilidade ativa

Resumo

O estímulo aos modos ativos de viagem através de modificações na forma urbana é objeto de pesquisas desde que o domínio do transporte motorizado se revelou nocivo à qualidade de vida urbana. Os deslocamentos a pé passaram a fazer parte da agenda da mobilidade urbana sustentável, enfatizando inicialmente a influência do ambiente construído sobre a escolha modal, visando aumentar a participação do modo. Recentemente, os estudos de caminhabilidade evoluíram e incorporaram aspectos da microescala do ambiente, procurando compreender o que influencia os pedestres em sua escolha de rota. Este trabalho investiga os fatores que influenciam a escolha de rota através de um método baseado no rastreio de indivíduos com GPS e na modelagem de escolha com variáveis do ambiente. Um estudo na cidade de Porto Alegre estimou modelos de escolha discreta binários para compreender por que os pedestres escolhem outros caminhos que não o mais curto entre a origem e o destino. Os resultados mostram que atributos da rede viária como a classe funcional e o comprimento dos trechos e variáveis urbanísticas como a presença de usos comerciais, em associação com o motivo da viagem e características do indivíduo, influenciam a utilidade percebida e, consequentemente, a escolha de rota.

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Referências

Adkins, A.; Dill, J.; Luhr, G.; Neal, M. (2012) Unpacking Walkability: Testing the Influence of Urban Design Features on Percep-tions of Walking Environment Attractiveness. Journal of Urban Design, v. 17, n. 4, p. 499–510. DOI: 10.1080/13574809.2012.706365.

Arellana, J.; Saltarín, M.; Larrañaga, A. M.; Alvarez, V.; Henao, C. A. (2020) Urban walkability considering pedestrians? percep-tions of the built environment: a 10-year review and a case study in a medium-sized city in Latin America. Transport Re-views, v. 40, p. 183-203. https://doi.org/10.1080/01441647.2019.1703842

Ben-Akiva M. E.; Ramming M. S.; Bekhor, S. (2004) Route Choice Models. In: Schreckenberg M.; Selten R. (eds.) Human Behav-iour and Traffic Networks. Springer: Berlin, Heidelberg.

Boarnet, M. G. e Crane, R. (2001) Travel by design: the influence of urban form on travel: the influence of urban form on travel. Oxford: Oxford University Press.

Boniardi, L., Dons, E., Campo, L., Van Poppel, M., Int Panis, L., e Fustinoni, S. (2019). Is a Land Use Regression Model Capable of Predicting the Cleanest Route to School? Environments, 6(8), 90. DOI: 10.3390/environments6080090

Campoli, J. (2012). Made for walking: density and neighbourhood form. Cambridge: Lincoln Institute of Land Policy.

Cao, X., Mokhtarian, P.L., Handy, S.L.: Examining the impacts of residential self-selection on travel behavior: a focus on empiri-cal findings. Transport Reviews 29(3), 359–395 (2009). DOI: 10.1080/01441 640802539195

Cervero, R. e Kockelman, K. (1997) Travel Demand and the 3Ds: Density, Diversity, and design. Transportation Research Part D: Transport and Environment, v.2, n.3, p.199-219. DOI: 10.1016/S1361-9209(97)00009-6

Cervero, R., Sarmiento, O. L., Jacoby, E., Gomez, L.F., e Neiman, A. (2009) Influences of built environments on walking and cy-cling: lessons from Bogotá. Int. J. Sustain. Transp. 3(4), 203–226 (2009). DOI: 10.1080/15568310802178314.

Ewing, R.; Cervero, R. (2001) Travel and the built environment: a synthesis. Transport. Res. Rec.: J. Transport. Res. Board 1780 (1), 87–114. DOI: 10.3141/1780-10.

Ewing, R., Cervero, R. (2010) Travel and the built environment: a meta-analysis. J. Am. Plan. Assoc. 76, 265– 294. DOI: 10.1080/01944361003766766.

Ewing, R.; Dumbaugh, E. (2009) The Built Environment and Traffic Safety A Review of Empirical Evidence. Journal of Plan-ning Literature, v. 23, n. 4, p. 347–367. DOI: 10.1177/0885412209335553

Foltete, J.C. e Piombini, A. (2010). Deviations in pedestrian itineraries in urban areas: a method to assess the role of envi-ronmental factors. Environment and Planning B: Planning and Design, v.37, n.4, p.723–739. DOI: 10.1068/b35015

Frank, L. D.; Sallis, J. F.; Conway, T. L.; Chapman, J. E.; Saelens, B. E.; Bachman, W. (2006) Many pathways from land use to health: associations between neighbourhood walkability and active transportation, body mass index, and air quality. Journal of the American Planning Association, v.72, n.1, p.75–87. DOI: 10.1080/01944360608976725

Frank, L. D., Sallis, J. F., Saelens, B. E., Leary, L., Cain, K., Conway, T. L., e Hess, P. M. (2010). The development of a walkability index: Application to the Neighbourhood Quality of Life Study. British Journal of Sports Medicine, 44(13), 924–933. DOI: 10.1136/bjsm.2009.058701

Frank, L. D., Appleyard, B. S., Ulmer, J. M., Chapman, J. E., & Fox, E. H. (2021). Comparing walkability methods: Creation of street smart walk score and efficacy of a code-based 3D walkability index. Journal of Transport & Health, 21, 101005. DOI: 10.1016/j.jth.2020.101005

Golledge, R. G. (1999). Wayfinding Behavior, Cognitive Mapping and Other Spatial Processes. Reginald G. Golledge, ed. The Johns Hopkins University Press, Baltimore & London, 1999. 428 p. DOI: 10.1046/j.1468-1331.2000.t01-1-00082.x

Guo, Z. (2009) Does the pedestrian environment affect the utility of walking? A case of path choice in downtown Boston. Transportation Research Part D: Transport and Environment, v. 14, n. 5, p. 343–352. DOI: 10.1016/j.trd.2009.03.007.

Guo, Z.; Loo, B. P. Y. (2013) Pedestrian environment and route choice: evidence from New York City and Hong Kong. Journal of Transport Geography, v. 28, p. 124–136. DOI: 10.1016/j.jtrangeo.2012.11.013.

Handy, S. L., Cao, X., e Mokhtarian, P. L. (2005). Correlation or causality between the built environment and travel behaviour? Evidence from Northern California. Transportation Research D, 10(6), 427–444. DOI: 10.1016/j.trd.2005.05.002

Hoogendoorn, S. P.; Bovy, P. H. L. (2004) Pedestrian route-choice and activity scheduling theory and models. Transportation Research Part B: Methodological, v. 38, n. 2, p. 169–190. DOI: 10.1016/S0191-2615(03)00007-9

Keyvanfar, A., Ferwati, M. S., Shafaghat, A., e Lamit, H. (2018). A path walkability assessment index model for evaluating and facilitating retail walking using decision-tree-making (DTM) method. Sustainability (Switzerland), 10(4), 1–33. DOI: 10.3390/su10041035

Kim, S., Park, S., e Lee, J. S. (2014). Meso-or micro-scale? Environmental factors influencing pedestrian satisfaction. Transpor-tation Research Part D: Transport and Environment, 30, 10–20. DOI: 10.1016/j.trd.2014.05.005

Larranaga, A.M., Arellana, J., Rizzi, L.I. Strambi, O.; Cybis, H. B. B. (2019) Using best–worst scaling to identify barriers to walka-bility: a study of Porto Alegre, Brazil. Transportation 46, 2347–2379. DOI: 10.1007/s11116-018-9944-x

Larranaga, A. M.; Arellana, J.; Rizzi, L. I.; Strambi, O.; Cybis, H. B. B. (2014). The influence of built environment and travel atti-tudes on walking: A case study of Porto Alegre, Brazil. International Journal of Sustainable Transportation, v. 10, p. 332-342. DOI: https://doi.org/10.1080/15568318.2014.933986

Lee, C., Moudon, A.V. (2006) Correlates of walking for transportation or recreation purposes. J. Phys. Act. Health 3(1), 77–98. DOI: 10.1123/jpah.3.s1.s77

Lee, S., Lee, C., Nam, J. W., Abbey-Lambertz, M., & Mendoza, J. A. (2020). School walkability index: Application of environmental audit tool and GIS. Journal of Transport & Health, 18, 100880. DOI: 10.1016/j.jth.2020.100880

Lima, A.; Stanojevic, B.; Papagiannaki, D.; Rodriguez, P.; González, M. C. (2016) Understanding individual routing behaviour. Journal of the Royal Society Interface v.13, no 116. DOI: 10.1098/rsif.2016.0021.

Liu, Y., Yang, D., Timmermans, H. J. P., & de Vries, B. (2020). The impact of the street-scale built environment on pedestrian metro station access/egress route choice. Transportation Research Part D: Transport and Environment, 87, 102491. DOI: 10.1016/j.trd.2020.102491

Lucchesi, S.; Larranaga, A. M.; Bettella Cybis, H. B.; Abreu e Silva, J. A. de; Arellana, J. A. (2021) Are people willing to pay more to live in a walking environment? A multigroup analysis of the impact of walkability on real estate values and their mod-eration effects in two Global South cities. Research in Transportation Economics, v. 86, p. 100976. DOI: 10.1016/j.retrec.2020.100976

Lucchesi, S.; Larranaga, A. M.; Ochoa, J. A. A.; Samios, A. A.B.; Cybis, H. B. B. (2020) The role of security and walkability in sub-jective wellbeing: a multigroup analysis among different age cohorts. Research in Transportation Business & Management, 2020. DOI: 10.1016/j.rtbm.2020.100559

Machado, R.; Nodari, C. T.; Larranaga, A.M. (2017) Fatores associados à ocorrência de acidentes no entorno de pontos de paradas de ônibus. In: Anais do XXXI Congresso de Pesquisa e Ensino em Transportes, 2017. XXXI ANPET Associação Nacio-nal de Pesquisa e Ensino em Transportes, 2017. Disponível em: http://146.164.5.73:30080/tempsite/anais/documentos/2017/Trafego%20Urbano%20e%20Rodoviario/Seguranca%20Viaria%20II/6_240_AC.pdf

Manaugh, K., & El-Geneidy, A. (2011). Validating walkability indices: How do different households respond to the walkability of their neighbourhood? Transportation research Part D: Transport and Environment, 16(4), 309‐315. DOI: 10.1016/j.trd.2011.01.009

McFadden, D. 1974. Conditional logit analysis of qualitative choice behaviour. In Frontiers in Econometrics, ed. P. Zarembka, New York: Academic Press, 105 n.42.

Mor, M., Oehrlein, J., Haunert, J.-H., & Dalyot, S. (2020). Whom to Follow? A Comparison of Walking Routes Computed Based on Social Media Photos from Different Types of Contributors. AGILE: GIScience Series, 1, 1–19. DOI: 10.5194/agile-giss-1-16-2020

Motter, V. ; Larranaga, A.M. ; Cybis, H.B. . Utilização de GPS no desenvolvimento de pesquisas de origem e destino. In: Anais do XXV Congresso de Pesquisa e Ensino em Transportes. Belo Horizonte. Panorama Nacional da Pesquisa em Transportes. Rio de Janeiro: ANPET, 2011.

Moudon, A. V.; Lee, C.; Cheadle, A. D.; Garvin, C., Johnson, D.; Schmidt, T. L.; Lin, L. (2006) Operational definitions of walkable neighbourhood: theoretical and empirical insights. Journal of Physical Activity e Health, v.3, s.1, p.S99-S117. DOI: 10.1123/jpah.3.s1.s99

Open Street Map. Open Street Map. Acessado em 12 de dezembro de 2013 de https://www.openstreetmap.org.

Quercia, D., Schifanella, R., & Aiello, L. M. (2014). The shortest path to happiness: Recommending beautiful, quiet, and happy routes in the city. 116–125. DOI: 10.1145/2631775.2631799

Ramming, M.S., 2002. Network Knowledge and Route Choice. Ph.D. Dissertation, Department of Civil and Environmental Engineering, MIT, Cambridge, MA. Disponível em: https://dspace.mit.edu/handle/1721.1/49797

Ribeiro, M. D. ; Larranaga, A.M. ; Arellana, J. ; Cybis, H.B. . Influence of GPS and self-reported data in travel demand models. In: XVIII Congresso Panamericano de Engenharia de Trânsito e Transporte e Logística (PANAM), 2014, Santander. XVIII Con-gresso Panamericano de Engenharia de Trânsito e Transporte e Logística (PANAM), 2014.

Ribeiro, M. D. ; Larranaga, A.M. ; Cybis, H.B. Erros e incertezas em pesquisas de origem e destino: Explorando o potencial da tecnologia GPS. In: XIII SEPROSUL - Semana de Engenharia de Produção Sul-Americana, 2013, Gramado-RS. XIII SEPRO-SUL - Semana de Engenharia de Produção Sul-Americana,. Porto Alegre: FEEng, 2013.

Ruiz-Padillo, A.; Pasqual, F. M.; Larranaga Uriarte, A. M.; Cybis, H. B. B. (2018) Application of multi-criteria decision analysis methods for assessing walkability: A case study in Porto Alegre, Brazil. Transportation Research Part D - Transport and En-vironment, v. 63, p. 855-871. DOI: 10.1016/j.trd.2018.07.016

Salazar Miranda, A., Fan, Z., Duarte, F. e Ratti, C. (2021). Desirable streets: Using deviations in pedestrian trajectories to measure the value of the built environment. Computers, Environment and Urban Systems, 86, 101563. DOI: 10.1016/j.compenvurbsys.2020.101563.

Sevtsuk, A., Basu, R., Li, X., e Kalvo, R. (2021). A big data approach to understanding pedestrian route choice preferences: Evidence from San Francisco. Travel Behaviour and Society, 25, 41–51. DOI: 10.1016/j.tbs.2021.05.010

Schlossberg, M.; Weinstein Agrawal, A.; Irvin, K. (2008). How far, by which route and why? A spatial analysis of pedestrian preference. Journal of urban design, v. 13, n. 1, p. 81–98. DOI: 10.1080/13574800701804074

Stopher, P., Kockelman, K., Greaves, S., Clifford, E. (2008), Reducing Burden and Sample Size in Multi-day Household travel survey. Transportation Research Board Annual Meeting 2008, Washington DC. DOI: 10.3141/2064-03

Taleai, M., & Yameqani, A. S. (2018). Integration of GIS, remote sensing and multi-criteria evaluation tools in the search for healthy walking paths. KSCE Journal of Civil Engineering, 22(1), 279–291. DOI: 10.1007/s12205-017-2538-x

Tian, G., Ewing, E. (2017) A walk trip generation model for Portland, OR. Transportation Research Part D - Transport and Envi-ronment, 1361–9209. DOI: 10.1016/j.trd.2017.03.017

Tribby, C.P., Miller, H.J., Brown, B.B., Werner, C.M., Smith, K.R. (2016) Assessing built environment walkability using activity-space summary measures. J. Transp. Land Use 9(1), 187–207. DOI: 10.5198/jtlu.2015.625

Torres, T. B.; Machado, R.; Larranaga, A.M. e Nodari, C. T. (2019) Contributing factors of built environment on severity of crashes involving motorcycles. In: Transportation Research Board Annual Meeting 2019, 2019, Washington D.C.. TRB 2019 Annual Meeting Proceedings, 2019.

Torres, T. B.; Larranaga, A.M.; Demore, C. P. e Nodari, C. T. (2017) Prevalência de fatores associados à severidade dos acidentes em entorno de escolas. TRANSPORTES (RIO DE JANEIRO), v. 25, p. 102, 2017. DOI: 10.14295/transportes.v25i3.1331.

Train, K. (2009) Discrete choice methods with simulation. 2ed. New York: Cambridge University Press.

Wasfi, R. A., Dasgupta, K., Orpana, H., e Ross, N. A. (2016). Neighbourhood Walkability and Body Mass Index Trajectories: Longitudinal Study of Canadians. American Journal of Public Health, 106(5), 934–940. DOI: 10.2105/AJPH.2016.303096

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Publicado

30-04-2022

Como Citar

Borello Vargas, J. C. ., Larranaga Uriarte, A. M. ., & Bettella Cybis, H. B. . (2022). Escolha de rotas a pé – método e estudo exploratório . TRANSPORTES, 30(1), 2636. https://doi.org/10.14295/transportes.v30i1.2636

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