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Examining the spatially heterogeneous effects of the built environment on walking among older adults

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  • Cheng, Long
  • Shi, Kunbo
  • De Vos, Jonas
  • Cao, Mengqiu
  • Witlox, Frank

Abstract

Understanding the relationship between the built environment and walking among older adults could offer important insights into land use and transport policies which seek to promote active ageing. However, most previous studies have explored global relationships, i.e. the effects are averaged or assumed to be constant over the region of interest. In this study, we focus on the local spatial variations in the relationship between the built environment and the daily time spent walking by older adults. We apply a geographically weighted regression (GWR) model, using data collected from 702 older adults in Nanjing, China. Our results show that spatial heterogeneity exists for built environment effects within the entire study area. It has an impact on all the relationships, with nuances in the significance level, parameter magnitude or sign reversals, depending on the location. Therefore, policy interventions would only be effective in certain areas for certain built environment attributes. By exploring the local contexts of relationships, we further suggest that the spatial heterogeneity stems from contextual effects, i.e. the specificities of places with a discriminative composition of individual and/or environmental characteristics. Our findings can help to enrich the understanding of associations between land use and travel behaviour, as well as offer local planning guidance for creating age-friendly neighbourhoods.

Suggested Citation

  • Cheng, Long & Shi, Kunbo & De Vos, Jonas & Cao, Mengqiu & Witlox, Frank, 2021. "Examining the spatially heterogeneous effects of the built environment on walking among older adults," Transport Policy, Elsevier, vol. 100(C), pages 21-30.
    • Handle: RePEc:eee:trapol:v:100:y:2021:i:c:p:21-30
    DOI: 10.1016/j.tranpol.2020.10.004
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    1. Curl, Angela & Mason, Phil, 2019. "Neighbourhood perceptions and older adults’ wellbeing: Does walking explain the relationship in deprived urban communities?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 123(C), pages 119-129.
    2. Freeland, A.L. & Banerjee, S.N. & Dannenberg, A.L. & Wendel, A.M., 2013. "Walking associated with public transit: Moving toward increased physical activity in the United States," American Journal of Public Health, American Public Health Association, vol. 103(3), pages 536-542.
    3. Yang, Shuo & Fan, Yingling & Deng, Wei & Cheng, Long, 2019. "Do built environment effects on travel behavior differ between household members? A case study of Nanjing, China," Transport Policy, Elsevier, vol. 81(C), pages 360-370.
    4. Kim, Suji & Park, Sungjin & Jang, Kitae, 2019. "Spatially-varying effects of built environment determinants on walking," Transportation Research Part A: Policy and Practice, Elsevier, vol. 123(C), pages 188-199.
    5. Lin, Tao & Wang, Donggen & Guan, Xiaodong, 2017. "The built environment, travel attitude, and travel behavior: Residential self-selection or residential determination?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 111-122.
    6. Cao, Xinyu, 2006. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," University of California Transportation Center, Working Papers qt07q5p340, University of California Transportation Center.
    7. Walker, Joan L. & Ehlers, Emily & Banerjee, Ipsita & Dugundji, Elenna R., 2011. "Correcting for endogeneity in behavioral choice models with social influence variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 362-374, May.
    8. Yu, Haitao & Peng, Zhong-Ren, 2019. "Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression," Journal of Transport Geography, Elsevier, vol. 75(C), pages 147-163.
    9. Md. Kamruzzaman & Simon Washington & Douglas Baker & Wendy Brown & Billie Giles-Corti & Gavin Turrell, 2016. "Built environment impacts on walking for transport in Brisbane, Australia," Transportation, Springer, vol. 43(1), pages 53-77, January.
    10. Cheng, Long & Chen, Xuewu & Yang, Shuo & Cao, Zhan & De Vos, Jonas & Witlox, Frank, 2019. "Active travel for active ageing in China: The role of built environment," Journal of Transport Geography, Elsevier, vol. 76(C), pages 142-152.
    11. Mitra, Raktim & Buliung, Ron N., 2014. "The influence of neighborhood environment and household travel interactions on school travel behavior: an exploration using geographically-weighted models," Journal of Transport Geography, Elsevier, vol. 36(C), pages 69-78.
    12. Hjorthol, Randi, 2013. "Winter weather – an obstacle to older people’s activities?," Journal of Transport Geography, Elsevier, vol. 28(C), pages 186-191.
    13. Figueroa, Maria J. & Nielsen, Thomas A. Sick & Siren, Anu, 2014. "Comparing urban form correlations of the travel patterns of older and younger adults," Transport Policy, Elsevier, vol. 35(C), pages 10-20.
    14. Bhat, Chandra & Zhao, Huimin, 2002. "The spatial analysis of activity stop generation," Transportation Research Part B: Methodological, Elsevier, vol. 36(6), pages 557-575, July.
    15. Moniruzzaman, Md & Páez, Antonio, 2016. "An investigation of the attributes of walkable environments from the perspective of seniors in Montreal," Journal of Transport Geography, Elsevier, vol. 51(C), pages 85-96.
    16. Moniruzzaman, Md. & Páez, Antonio & Nurul Habib, Khandker M. & Morency, Catherine, 2013. "Mode use and trip length of seniors in Montreal," Journal of Transport Geography, Elsevier, vol. 30(C), pages 89-99.
    17. Chengxi Liu & Yusak O. Susilo & Anders Karlström, 2016. "Measuring the impacts of weather variability on home-based trip chaining behaviour: a focus on spatial heterogeneity," Transportation, Springer, vol. 43(5), pages 843-867, September.
    18. Susanne Nordbakke & Tim Schwanen, 2014. "Well-being and Mobility: A Theoretical Framework and Literature Review Focusing on Older People," Mobilities, Taylor & Francis Journals, vol. 9(1), pages 104-129, February.
    19. Lars Böcker & Patrick Amen & Marco Helbich, 2017. "Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands," Transportation, Springer, vol. 44(4), pages 831-852, July.
    20. Neil Cuthill & Mengqiu Cao & Yuqi Liu & Xing Gao & Yuerong Zhang, 2019. "The Association between Urban Public Transport Infrastructure and Social Equity and Spatial Accessibility within the Urban Environment: An Investigation of Tramlink in London," Sustainability, MDPI, vol. 11(5), pages 1-18, February.
    21. Cao, Mengqiu & Hickman, Robin, 2019. "Understanding travel and differential capabilities and functionings in Beijing," Transport Policy, Elsevier, vol. 83(C), pages 46-56.
    22. Yang, Hongtai & Lu, Xiaozhao & Cherry, Christopher & Liu, Xiaohan & Li, Yanlai, 2017. "Spatial variations in active mode trip volume at intersections: a local analysis utilizing geographically weighted regression," Journal of Transport Geography, Elsevier, vol. 64(C), pages 184-194.
    23. Li, Shengxiao & Zhao, Pengjun & Zhang, He & Quan, Jing, 2019. "Walking behavior in the old downtown Beijing: The impact of perceptions and attitudes and social variations," Transport Policy, Elsevier, vol. 73(C), pages 1-11.
    24. Md. Kamruzzaman & Simon Washington & Douglas Baker & Wendy Brown & Billie Giles-Corti & Gavin Turrell, 2016. "Built environment impacts on walking for transport in Brisbane, Australia," Transportation, Springer, vol. 43(1), pages 53-77, January.
    25. Blainey, Simon, 2010. "Trip end models of local rail demand in England and Wales," Journal of Transport Geography, Elsevier, vol. 18(1), pages 153-165.
    26. Feuillet, T. & Commenges, H. & Menai, M. & Salze, P. & Perchoux, C. & Reuillon, R. & Kesse-Guyot, E. & Enaux, C. & Nazare, J.-A. & Hercberg, S. & Simon, C. & Charreire, H. & Oppert, J.M., 2018. "A massive geographically weighted regression model of walking-environment relationships," Journal of Transport Geography, Elsevier, vol. 68(C), pages 118-129.
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