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What is ‘neighborhood walkability’? How the built environment differently correlates with walking for different purposes and with walking on weekdays and weekends

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  • Gao, Jie
  • Kamphuis, Carlijn B.M.
  • Helbich, Marco
  • Ettema, Dick

Abstract

Residential environments are associated with people's walking behavior. Transit-related, non-transit-related, and recreational walking may be differently associated with residential environments on weekdays and weekends, but empirical evidence is scarce. We therefore examined 1) to which extent these types of walking correlated with natural and built environmental characteristics of residential neighborhoods, 2) how these correlations differ for walking on weekdays and weekends, and 3) what substitution and complementarity effects between different types of walking exist. Our sample comprised 92,298 people aged ≥18 years from the pooled Dutch National Travel Survey 2010–2014. Multivariate Tobit regression models were used to assess the associations between the natural and built environment and the three types of walking (in average minutes per day). Our models accounted for cross-correlations between the walking types. Our results showed that denser residential areas encouraged both longer transit-related and non-transit-related transport walking on weekdays and weekends, whereas lower density neighborhoods were positively associated with recreational walking on weekdays. Shorter distances to public transport were only significantly associated with transit-related transport walking on weekdays. Shorter distances to daily facilities were positively associated with non-transit-related transport on weekdays. No significant associations between built environment and recreational walking were found on weekends. Additionally, some compensation effects between different types of walking seem to be at play: during weekends, recreational walking was inversely correlated with transit-related transport walking. Residential environments seem to affect walking types in a different way, suggesting that one size fits all policies might be less effective. Intervention strategies should be tailored for each walking type separately.

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  • Gao, Jie & Kamphuis, Carlijn B.M. & Helbich, Marco & Ettema, Dick, 2020. "What is ‘neighborhood walkability’? How the built environment differently correlates with walking for different purposes and with walking on weekdays and weekends," Journal of Transport Geography, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:jotrge:v:88:y:2020:i:c:s0966692320302556
    DOI: 10.1016/j.jtrangeo.2020.102860
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    1. Han Zhang & Jari Kuuluvainen & Hongqiang Yang & Yi Xie & Can Liu, 2017. "The Effect of Off-Farm Employment on Forestland Transfers in China: A Simultaneous-Equation Tobit Model Estimation," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    2. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    3. Helbich, Marco & Böcker, Lars & Dijst, Martin, 2014. "Geographic heterogeneity in cycling under various weather conditions: evidence from Greater Rotterdam," Journal of Transport Geography, Elsevier, vol. 38(C), pages 38-47.
    4. Chinh Ho & Corinne Mulley, 2013. "Tour-based mode choice of joint household travel patterns on weekend and weekday," Transportation, Springer, vol. 40(4), pages 789-811, July.
    5. Giles-Corti, Billie & Bull, Fiona & Knuiman, Matthew & McCormack, Gavin & Van Niel, Kimberly & Timperio, Anna & Christian, Hayley & Foster, Sarah & Divitini, Mark & Middleton, Nick & Boruff, Bryan, 2013. "The influence of urban design on neighbourhood walking following residential relocation: Longitudinal results from the RESIDE study," Social Science & Medicine, Elsevier, vol. 77(C), pages 20-30.
    6. Yang, Liya & Shen, Qing & Li, Zhibin, 2016. "Comparing travel mode and trip chain choices between holidays and weekdays," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 273-285.
    7. Huang, Ho-Chuan (River), 1999. "Estimation of the SUR Tobit model via the MCECM algorithm," Economics Letters, Elsevier, vol. 64(1), pages 25-30, July.
    8. Böcker, Lars & Dijst, Martin & Faber, Jan & Helbich, Marco, 2015. "En-route weather and place valuations for different transport mode users," Journal of Transport Geography, Elsevier, vol. 47(C), pages 128-138.
    9. Daniels, Rhonda & Mulley, Corinne, 2013. "Explaining walking distance to public transport: The dominance of public transport supply," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(2), pages 5-20.
    10. Lachapelle, Ugo & Noland, Robert B., 2012. "Does the commute mode affect the frequency of walking behavior? The public transit link," Transport Policy, Elsevier, vol. 21(C), pages 26-36.
    11. Liu, Chengxi & Susilo, Yusak O. & Karlström, Anders, 2015. "The influence of weather characteristics variability on individual’s travel mode choice in different seasons and regions in Sweden," Transport Policy, Elsevier, vol. 41(C), pages 147-158.
    12. Shelat, Sanmay & Huisman, Raymond & van Oort, Niels, 2018. "Analysing the trip and user characteristics of the combined bicycle and transit mode," Research in Transportation Economics, Elsevier, vol. 69(C), pages 68-76.
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    2. Fernando Fonseca & Elisa Conticelli & George Papageorgiou & Paulo Ribeiro & Mona Jabbari & Simona Tondelli & Rui Ramos, 2021. "Levels and Characteristics of Utilitarian Walking in the Central Areas of the Cities of Bologna and Porto," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    3. Anna Visvizi & Shahira Assem Abdel-Razek & Roman Wosiek & Radosław Malik, 2021. "Conceptualizing Walking and Walkability in the Smart City through a Model Composite w 2 Smart City Utility Index," Energies, MDPI, vol. 14(23), pages 1-20, December.

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