Factors affecting older adults walkability in Brazilian urban areas: a multilevel approach
DOI:
https://doi.org/10.14295/transportes.v29i3.2657Keywords:
Walkability, Elderly, Zero inflated negative binomial, Multilevel modelAbstract
Ensuring elderly´s social participation through the access to urban activities plays a
crucial role in promoting healthier aging, especially in a context of rapidly increase of this population segment. This paper aims to identify and analyze the walking patterns of individuals older than 50 years old, as well as its variation across regions and cities into different populational stratus in Brazil. Mixed and non-mixed zero-inflated negative binomial regressions were estimated using the ELSI-Brazil database to identify the
existence of heterogeneities in the national context, and analyze factors which affect the choice for walking, as well as walking intensity for those who walk. Results highlight the lack of mobility capability as the main factor preventing walking, while public safety, sidewalk quality, and the risk of crossing streets decrease the weekly walking time for older adults.
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References
Alsnih, R. e Hensher, D. (2003) The mobility and accessibility expectations of seniors in an aging population. Transportation Research Part A: Policy and Practice, 37(10), pp.903 916. DOI: 10.1016/S0965-8564(03)00073-9 DOI: https://doi.org/10.1016/S0965-8564(03)00073-9
Banister, D. e Bowling, A. (2004) Quality of life for the elderly: the transport dimension. Transport Policy, 11(2), pp.105 115. DOI: 10.1016/S0967-070X(03)00052-0 DOI: https://doi.org/10.1016/S0967-070X(03)00052-0
Boakye-Dankwa, E., Nathan, A., Barnett, A., Busija, L., Lee, R., Pachana, N., Turrell, G. e Cerin, E. (2019). Walking behaviour and patterns of perceived access to neighbourhood destinations in older adults from a low-density (Brisbane, Australia) and an ultra-dense city (Hong Kong, China). Cities, 84, pp.23 33. DOI: 10.1016/j.cities.2018.07.002 DOI: https://doi.org/10.1016/j.cities.2018.07.002
Boeing, G. (2017) OSMnx: new methods for acquiring, constructing, analyzing, and visualizing complex street networks. Com-puters, Environment and Urban Systems, 65, pp.126-139. DOI: 10.1016/j.compenvurbsys.2017.05.004 DOI: https://doi.org/10.1016/j.compenvurbsys.2017.05.004
Borst, H., de Vries, S., Graham, J., van Dongen, J., Bakker, I. e Miedema, H. (2009) Influence of environmental street character-istics on walking route choice of elderly people. Journal of Environmental Psychology. 29(4), pp.477–484. DOI: 10.1016/j.jenvp.2009.08.002 DOI: https://doi.org/10.1016/j.jenvp.2009.08.002
Bromberg, S., Oron-Gilad, T., Ronen, A., Borowsky, A. e Parmet, Y. (2012) The perception of pedestrians from the perspective of elderly experienced and experienced drivers. Accident Analysis and Prevention, 44(1), pp.48–55. DOI: 10.1016/j.aap.2010.12.028 DOI: https://doi.org/10.1016/j.aap.2010.12.028
Brooks, M., Kristensen, K., Van Benthem, K., Magnusson, A., Berg, C., Nielsen, A., Skaug, H.; Mächler, M. e Bolker, B. (2017). glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling. The R Journal, 9(2), pp.378 400. DOI: 10.32614/RJ-2017-066 DOI: https://doi.org/10.32614/RJ-2017-066
Cameron, A. e Trivedi, P. (1990) Regression-based tests for overdispersion in the Poisson model. Journal of Econometrics, 46(3), pp.347 364. DOI: 10.1016/0304-4076(90)90014-K DOI: https://doi.org/10.1016/0304-4076(90)90014-K
Cameron, A. e Trivedi, P. (2009). Microeconometrics using Stata (Revised Edition). College Station, TX: Stata press
Cao, X., Handy, S. e Mokhtarian, P. (2006) The influences of the built environment and residential self-selection on pedestrian behavior: Evidence from Austin, TX. Transportation. 33(1), pp.1–20. DOI: 10.1007/s11116-005-7027-2 DOI: https://doi.org/10.1007/s11116-005-7027-2
Cheng, L., de Vos, J., Zhao, P., Yang, M. e Witlox, F. (2020). Examining non-linear built environment effects on elderly’s walking: A random forest approach. Transportation Research Part D: Transport and Environment, 88, 102552. DOI: 10.1016/j.trd.2020.102552 DOI: https://doi.org/10.1016/j.trd.2020.102552
Corseuil, M., Schneider, I., Silva, D., Costa, F., Silva, K., Borges, L. e d’Orsi, E. (2011) Perception of environmental obstacles to commuting physical activity in Brazilian elderly. Preventive Medicine. 53(4–5), pp.289–292. DOI: 10.1016/j.ypmed.2011.07.016 DOI: https://doi.org/10.1016/j.ypmed.2011.07.016
Cui, J., Loo, B. e Lin, D. (2017) Travel behaviour and mobility needs of older adults in an ageing and car-dependent society. International Journal of Urban Sciences, 21(2), pp.109 128. DOI: 10.1080/12265934.2016.1262785 DOI: https://doi.org/10.1080/12265934.2016.1262785
Desmarais, B. e Harden, J. (2013) Testing for zero inflation in count models: Bias correction for the Vuong test. The Stata Journal, 13(4), pp.810 835. DOI: 10.1177/1536867X1301300408 DOI: https://doi.org/10.1177/1536867X1301300408
Ehrgott, M., Wang, J., Raith, A. e Van Houtte, C. (2012) A bi-objective cyclist route choice model. Transportation Research Part A: Policy and Practice, 46(4), pp.652 663. DOI: 10.1016/j.tra.2011.11.015 DOI: https://doi.org/10.1016/j.tra.2011.11.015
Fávero, L. e Belfiore, P. (2017) Manual de análise de dados (1ª ed.). Rio de Janeiro, Elsevier.
Fávero, L., Hair, J., Souza, R., Albergaria, M. e Brugni, T. (2021) Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships. Mathematics, 9(10), pp.1100. DOI: 10.3390/math9101100 DOI: https://doi.org/10.3390/math9101100
FIOCRUZ (2015) ELSI Brasil: Estudo Longitudinal da Saúde dos Idosos Brasileiros. Disponível em: <http://elsi.cpqrr.fiocruz.br/> (acesso em 04/04/2022).
Gao, J., Kamphuis, C., Ettema, D. e Helbich, M. (2019) Longitudinal changes in transport-related and recreational walking: The role of life events. Transportation Research Part D: Transport and Environment, 77, pp.243 251. DOI: 10.1016/j.trd.2019.11.006 DOI: https://doi.org/10.1016/j.trd.2019.11.006
Garay, A., Hashimoto, E., Ortega, E. e Lachos, V. (2011) On estimation and influence diagnostics of zero-inflated negative bi-nomial regression models. Computational Statistics and Data Analysis, 55, pp.1304-1318. DOI: 10.1016/j.csda.2010.09.019 DOI: https://doi.org/10.1016/j.csda.2010.09.019
Gómez, L., Parra, D., Buchner, D., Brownson, R., Sarmiento, O., Pinzón, J., Ardila, M., Moreno, J., Serrato, M. e Lobelo, F. (2010) Built environment attributes and walking patterns among the elderly population in Bogotá. American Journal of Preventive Medicine, 38(6), pp.592-599. DOI: 10.1016/j.amepre.2010.02.005 DOI: https://doi.org/10.1016/j.amepre.2010.02.005
Greene, W. (2012) Econometric Analysis (7ª ed.). Boston, Prentice Hall.
Guo, Y., Chan, C., Chang, Q., Liu, T. e Yip, P. (2019) Neighborhood environment and cognitive function in older adults: A multi-level analysis in Hong Kong. Health and Place, 58, 102146. DOI: 10.1016/j.healthplace.2019.102146 DOI: https://doi.org/10.1016/j.healthplace.2019.102146
Hjorthol, R., Levin, L. e Siren, A. (2010). Mobility in different generations of older persons: the development of daily travel in different cohorts in Denmark, Norway and Sweden. Journal of Transport Geography, 18(5), pp.624-633. DOI: 10.1016/j.jtrangeo.2010.03.011 DOI: https://doi.org/10.1016/j.jtrangeo.2010.03.011
IBGE (2013) CNEFE: Cadastro nacional de endereços para fins estatísticos. Disponível em: <https://biblioteca.ibge.gov.br/index.php/biblioteca-catalogo?id=53042&view=detalhes> (acesso em 04/04/2022)
Jackman, S. (2020) pscl: Classes and Methods for R Developed in the Political Science Computational Laboratory. Disponível em <https://github.com/atahk/pscl/ > (acesso em 04/04/2022)
Kizony, R., Schreuer, N., Rotenberg, S., Shach-Pinsly, D., Sinoff, G. e Plaut, P. (2020) Participation in out-of-home activities among older adults: The role of mobility, attitudes and travel behaviors. Journal of Transport and Health, 17, 100846. DOI: 10.1016/j.jth.2020.100846 DOI: https://doi.org/10.1016/j.jth.2020.100846
Lima-Costa, M., de Andrade, F., de Souza, P., Neri, A., Duarte, Y., Castro-Costa, E. e de Oliveira, C. (2018) The Brazilian Longitu-dinal Study of Aging (ELSI-Brazil): Objectives and Design. American Journal of Epidemiology, 187(7), pp1345 1353. DOI: 10.1093/aje/kwx387 DOI: https://doi.org/10.1093/aje/kwx387
Ma, J. e Goulias, K. (1999) Application of Poisson regression models to activity frequency analysis and prediction. Transporta-tion Research Record, 1676(1), pp.86 94. DOI: 10.3141/1676-11 DOI: https://doi.org/10.3141/1676-11
Manaugh, K. e El-Geneidy, A. (2011) Validating walkability indices: How do different households respond to the walkability of their neighborhood? Transportation Research Part D: Transport and Environment, 16, pp.309 315. DOI: 10.1016/j.trd.2011.01.009 DOI: https://doi.org/10.1016/j.trd.2011.01.009
Mercado, R. e Páez, A. (2009) Determinants of distance traveled with a focus on the elderly: a multilevel analysis in the Ham-ilton CMA, Canada. Journal of Transport Geography, 17(1), pp.65 76. DOI: 10.1016/j.jtrangeo.2008.04.012 DOI: https://doi.org/10.1016/j.jtrangeo.2008.04.012
Moniruzzaman, M., Páez, A., Nurul Habib, K. e Morency, C. (2013) Mode use and trip length of seniors in Montreal. Journal of Transport Geography, 30, pp.89 99. DOI: 10.1016/j.jtrangeo.2013.03.007 DOI: https://doi.org/10.1016/j.jtrangeo.2013.03.007
Nordbakke, S. (2013) Capabilities for mobility among urban older women: barriers, strategies and options. Journal of Transport Geography, 26, pp.166 174. DOI: 10.1016/j.jtrangeo.2012.10.003 DOI: https://doi.org/10.1016/j.jtrangeo.2012.10.003
Nordbakke, S. e Schwanen, T. (2014) Well-being and Mobility: A Theoretical Framework and Literature Review Focusing on Older People. Mobilities, 9(1), pp.104–129. DOI: 10.1080/17450101.2013.784542 DOI: https://doi.org/10.1080/17450101.2013.784542
O’Hern, S. e Oxley, J. (2015) Understanding travel patterns to support safe active transport for older adults. Journal of Transport and Health, 2(1), pp.79 85. DOI: 10.1016/j.jth.2014.09.016 DOI: https://doi.org/10.1016/j.jth.2014.09.016
ONU (2019) World Population Ageing 2019. Disponível em: <https://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Report.pdf> (acesso em 04/04/2022)
Porta, S. e Renne, J. (2005) Linking urban design to sustainability: Formal indicators of social urban sustainability field re-search in Perth, Western Australia. Urban Design International, 10, pp.51 64. DOI: 10.1057/palgrave.udi.9000136 DOI: https://doi.org/10.1057/palgrave.udi.9000136
R Core Team (2019) R: The R Project for Statistical Computing. Disponível em: < https://www.r-project.org/> (acesso em 06/07/2021)
Rabe-Hesketh, S. e Skrondal, A. (2006) Multilevel and longitudinal modeling using Stata (3ª ed.). College Station, Texas: Stata Press Publication.
Rosenbloom, S. (2006) Is the driving experience of older women changing? Safety and mobility consequences over time. Transportation Research Record, 1956(1), pp.127–132. DOI: 10.3141/1956-16 DOI: https://doi.org/10.1177/0361198106195600116
Rosenbloom, S. e Waldorf, B. (2001) Older Travelers: does place or race make a difference? Transportation Research Circular, E-C026, 103 120. Disponível em: <http://onlinepubs.trb.org/onlinepubs/circulars/ec026/01_rosenbloom.pdf> (acesso em 06/07/2021).
Saelens, B., Sallis, J. e Frank, L. (2003) Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures. Annals of Behavioral Medicine, 25(2), pp.80–91. DOI: 10.1207/S15324796ABM2502_03 DOI: https://doi.org/10.1207/S15324796ABM2502_03
Salvador, E., Reis, R e Florindo, A. (2009) A Prática De Caminhada Como Forma De Deslocamento E Sua Associação Com a Percepção Do Ambiente Em Idosos. Revista Brasileira De Atividade Física & Saúde, 14(3), pp.197–205. DOI: 10.12820/rbafs.v.14n3p197-205
Souza, R., Fávero, L., Belfiore. P., Correa, H., Cameron, A. e Trivedi, P. (2020) overdisp: Overdispersion in Count Data Multiple Regression Analysis. Disponível em: <https://cran.r-project.org/web/packages/overdisp/index.html> (acesso em 04/04/2022).
Su, F. e Bell, M. (2012) Travel differences by gender for older people in London. Research in Transportation Economics, 34(1), pp.35 38. DOI: 10.1016/j.retrec.2011.12.011 DOI: https://doi.org/10.1016/j.retrec.2011.12.011
van den Berg, P., Arentze, T. e Timmermans, H. (2011) Estimating social travel demand of senior citizens in the Netherlands. Journal of Transport Geography, 19(2), pp.323 331. DOI: 10.1016/j.jtrangeo.2010.03.018 DOI: https://doi.org/10.1016/j.jtrangeo.2010.03.018
van den Berg, P., Sharmeen, F. e Weijs-Perrée, M. (2017) On the subjective quality of social Interactions: Influence of neigh-borhood walkability, social cohesion and mobility choices. Transportation Research Part A: Policy and Practice, 106, pp.309 319. DOI: 10.1016/j.tra.2017.09.021 DOI: https://doi.org/10.1016/j.tra.2017.09.021
Vegi, A., Fernandes Filho, E., Pessoa, M., Ramos, K. e Ribeiro, A. (2020) Caminhabilidade e envelhecimento saudável: Uma proposta de análise para cidades brasileiras de pequeno e médio porte. Cad. Saúde Pública, 36(3), pp.1 15. DOI: 10.1590/0102 311x00215218 DOI: https://doi.org/10.1590/0102-311x00215218
Vuong, Q. (1989) Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses. Econometrica, 57(2), pp.307 333. DOI: 10.2307/1912557 DOI: https://doi.org/10.2307/1912557
Yang, Y., He, D., Gou, Z., Wang, R., Liu, Y. e Lu, Y. (2019) Association between street greenery and walking behavior in older adults in Hong Kong. Sustainable Cities and Society, 51, 101747. DOI: 10.1016/j.scs.2019.101747 DOI: https://doi.org/10.1016/j.scs.2019.101747
Zandieh, R., Martinez, J., Flacke, J., Jones, P. e van Maarseveen, M. (2016) Older adults’ outdoor walking: inequalities in neigh-borhood safety, pedestrian infrastructure and aesthetics. International Journal of Environmental Research and Public Health, 13(1179). DOI: 10.3390/ijerph13121179 DOI: https://doi.org/10.3390/ijerph13121179
Zeileis, A., Kleiber, C. e S. Jackman (2008) Regression models for count data in R. Journal of Statistical Software, 27(8), pp.1 25. DOI: 10.18637/jss.v027.i08 DOI: https://doi.org/10.18637/jss.v027.i08
Zhao, P. e Wan, J. (2020) Examining the effects of neighbourhood design on walking in growing megacity. Transportation Research Part D: Transport and Environment, 86, 102417. DOI: 10.1016/j.trd.2020.102417 DOI: https://doi.org/10.1016/j.trd.2020.102417
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Copyright (c) 2021 Gabriel Pereira Caldeira, Renata Akemi Marçal Imai, Lucas Eduardo Araújo de Melo, Claudio Barbieri da Cunha, Cassiano Augusto Isler
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