IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v100y2021icp21-30.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X20309033
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2020.10.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Song & Li, Zhixia & Wang, Yi & Aaron Wyatt, Daniel, 2022. "How do age and gender influence the acceptance of automated vehicles? – Revealing the hidden mediating effects from the built environment and personal factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 376-394.
    2. Shuangzhou Chen & Zhikang Bao & Junjie Chen & Linchuan Yang & Vivian Lou, 2022. "Sustainable built environment for facilitating public health of older adults: Evidence from Hong Kong," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1086-1098, October.
    3. Wang, Xize, 2022. "Impact of health on driving for America's older adults: A nationwide, longitudinal study," Transport Policy, Elsevier, vol. 120(C), pages 69-79.
    4. He, Mingwei & He, Chengfeng & Shi, Zhuangbin & He, Min, 2022. "Spatiotemporal heterogeneous effects of socio-demographic and built environment on private car usage: An empirical study of Kunming, China," Journal of Transport Geography, Elsevier, vol. 101(C).
    5. Hae Young Yun, 2021. "Neighborhood Built Environments, Walking, and Self-Rated Health among Low-Income Older Adults in St. Paul, Minnesota," Sustainability, MDPI, vol. 13(6), pages 1-26, March.
    6. Zhu, Dianchen & Sze, N.N. & Feng, Zhongxiang & Chan, Ho-Yin, 2023. "Waiting for signalized crossing or walking to footbridge/underpass? Examining the effect of weather using stated choice experiment with panel mixed random regret minimization approach," Transport Policy, Elsevier, vol. 138(C), pages 144-169.
    7. Huiran Han & Kai Yang & Chengfeng Yang & Gang Yang & Lingyi Xu, 2022. "Influence and Mechanism of a Multi-Scale Built Environment on the Leisure Activities of the Elderly: Evidence from Hefei City in China," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
    8. Yang, Xiong & Zhuge, Chengxiang & Shao, Chunfu & Huang, Yuantan & Hayse Chiwing G. Tang, Justin & Sun, Mingdong & Wang, Pinxi & Wang, Shiqi, 2022. "Characterizing mobility patterns of private electric vehicle users with trajectory data," Applied Energy, Elsevier, vol. 321(C).
    9. Qinglin Jia & Tao Zhang & Long Cheng & Gang Cheng & Minjie Jin, 2022. "The Impact of the Neighborhood Built Environment on the Walking Activity of Older Adults: A Multi-Scale Spatial Heterogeneity Analysis," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    10. Nabipour, Mohammad & Rosenberg, Mark W. & Nasseri, Seyed Hadi, 2022. "The built environment, networks design, and safety features: An analysis of pedestrian commuting behavior in intermediate-sized cities," Transport Policy, Elsevier, vol. 129(C), pages 14-23.
    11. Kirtonia, Sajeeb & Sun, Yanshuo, 2022. "Evaluating rail transit's comparative advantages in travel cost and time over taxi with open data in two U.S. cities," Transport Policy, Elsevier, vol. 115(C), pages 75-87.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Yongjiang & Sasaki, Kuniaki & Cheng, Long & Tao, Sui, 2022. "Does the built environment matter for active travel among older adults: Insights from Chiba City, Japan," Journal of Transport Geography, Elsevier, vol. 101(C).
    2. Hou, Yuting & Yap, Winston & Chua, Rochelle & Song, Siqi & Yuen, Belinda, 2020. "The associations between older adults’ daily travel pattern and objective and perceived built environment: A study of three neighbourhoods in Singapore," Transport Policy, Elsevier, vol. 99(C), pages 314-328.
    3. Qinglin Jia & Tao Zhang & Long Cheng & Gang Cheng & Minjie Jin, 2022. "The Impact of the Neighborhood Built Environment on the Walking Activity of Older Adults: A Multi-Scale Spatial Heterogeneity Analysis," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    4. Li, Jingjing & Auchincloss, Amy H. & Yang, Yong & Rodriguez, Daniel A. & Sánchez, Brisa N., 2020. "Neighborhood characteristics and transport walking: Exploring multiple pathways of influence using a structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 85(C).
    5. Nabipour, Mohammad & Rosenberg, Mark W. & Nasseri, Seyed Hadi, 2022. "The built environment, networks design, and safety features: An analysis of pedestrian commuting behavior in intermediate-sized cities," Transport Policy, Elsevier, vol. 129(C), pages 14-23.
    6. Yang, Linchuan & Ao, Yibin & Ke, Jintao & Lu, Yi & Liang, Yuan, 2021. "To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults," Journal of Transport Geography, Elsevier, vol. 94(C).
    7. Kajosaari, Anna & Hasanzadeh, Kamyar & Kyttä, Marketta, 2019. "Residential dissonance and walking for transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 134-144.
    8. Hosseinzadeh, Aryan & Algomaiah, Majeed & Kluger, Robert & Li, Zhixia, 2021. "Spatial analysis of shared e-scooter trips," Journal of Transport Geography, Elsevier, vol. 92(C).
    9. Mitra, Suman & Yao, Mingqi & Ritchie, Stephen G., 2021. "Gender differences in elderly mobility in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 203-226.
    10. Munira, Sirajum & Sener, Ipek N., 2020. "A geographically weighted regression model to examine the spatial variation of the socioeconomic and land-use factors associated with Strava bike activity in Austin, Texas," Journal of Transport Geography, Elsevier, vol. 88(C).
    11. Kaniz Fatima & Sara Moridpour & Tayebeh Saghapour, 2021. "Spatial and Temporal Distribution of Elderly Public Transport Mode Preference," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    12. De Vos, Jonas & Ettema, Dick & Witlox, Frank, 2018. "Changing travel behaviour and attitudes following a residential relocation," Journal of Transport Geography, Elsevier, vol. 73(C), pages 131-147.
    13. Donggen Wang & Tao Lin, 2019. "Built environment, travel behavior, and residential self-selection: a study based on panel data from Beijing, China," Transportation, Springer, vol. 46(1), pages 51-74, February.
    14. Eldeeb, Gamal & Mohamed, Moataz & Páez, Antonio, 2021. "Built for active travel? Investigating the contextual effects of the built environment on transportation mode choice," Journal of Transport Geography, Elsevier, vol. 96(C).
    15. Kwang-Sub Lee & Jin Ki Eom & Jun Lee & Sangpil Ko, 2021. "Analysis of the Activity and Travel Patterns of the Elderly Using Mobile Phone-Based Hourly Locational Trajectory Data: Case Study of Gangnam, Korea," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
    16. Dimitris Milakis & Dimitrios Efthymiou & Constantinos Antoniou, 2017. "Built Environment, Travel Attitudes and Travel Behaviour: Quasi-Longitudinal Analysis of Links in the Case of Greeks Relocating from US to Greece," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    17. Guzman, Luis A. & Peña, Javier & Carrasco, Juan Antonio, 2020. "Assessing the role of the built environment and sociodemographic characteristics on walking travel distances in Bogotá," Journal of Transport Geography, Elsevier, vol. 88(C).
    18. 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.
    19. Ma, Jingwen & Zhao, Shengchuan & Li, Wu & Liu, Meng & Luo, Huanhuan, 2022. "Heterogeneity in seniors' unmet walking needs: A latent class analysis," Journal of Transport Geography, Elsevier, vol. 104(C).
    20. Longzhu Xiao & Linchuan Yang & Jixiang Liu & Hongtai Yang, 2020. "Built Environment Correlates of the Propensity of Walking and Cycling," Sustainability, MDPI, vol. 12(20), pages 1-16, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:100:y:2021:i:c:p:21-30. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.