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The Impact of the Neighborhood Built Environment on the Walking Activity of Older Adults: A Multi-Scale Spatial Heterogeneity Analysis

Author

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  • Qinglin Jia

    (School of Traffic and Logistics Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China)

  • Tao Zhang

    (School of Traffic and Logistics Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
    Center of Tibetan Studies (Everest Research Institute), Tibet University, Lhasa 850001, China)

  • Long Cheng

    (School of Transportation, Southeast University, Nanjing 211189, China
    Department of Geography, Ghent University, 9000 Ghent, Belgium)

  • Gang Cheng

    (Center of Tibetan Studies (Everest Research Institute), Tibet University, Lhasa 850001, China)

  • Minjie Jin

    (School of Traffic and Logistics Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China)

Abstract

Walking, as a major mode of travel or activity among older adults, deserves more attention in research on travel behavior related to the neighborhood built environment. However, most previous research has examined global relationships or assumed that all spatial scales are identical rather than focusing on the intensity of spatial scale differences between explanatory variables and travel behavior. Therefore, this paper employs a multi-scale, geographically weighted regression model to analyze the effect of the neighborhood built environment on the walking activities of 863 older adults in Taiyuan, China, using survey data. The results indicate that the influence intensity of the explanatory variables is determined, in descending order, by the number of retail establishments, the number of pedestrian crossings, the number of restaurants, the residential density, the land use combination, the number of recreation facilities, and the location and the number of bus stops. Moreover, the spatial scales of the number of recreation and public service facilities are greater than those of the other explanatory variables. This research can contribute to a better understanding of the relationships between the built environment of a neighborhood and walking activities and provide case support for the sustainable development of age-friendly transportation services.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13927-:d:954115
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    1. Ding, Chuan & Cao, Xinyu & Wang, Yunpeng, 2018. "Synergistic effects of the built environment and commuting programs on commute mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 104-118.
    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. Mohammad Paydar & Asal Kamani Fard & Mohammad Mehdi Khaghani, 2020. "Walking toward Metro Stations: the Contribution of Distance, Attitudes, and Perceived Built Environment," Sustainability, MDPI, vol. 12(24), pages 1-19, December.
    4. 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.
    5. Hao Wu & Hongbin Wang & Duanyang Liu & Yang Cao & Yawei Qu, 2022. "The Impact of the Neighborhood Built Environment on the Commuting Patterns and Health of Patients with Chronic Diseases: A Case Study of Changshu, China," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    6. 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.
    7. Zhitao Li & Yuzhen Shang & Guanwei Zhao & Muzhuang Yang, 2022. "Exploring the Multiscale Relationship between the Built Environment and the Metro-Oriented Dockless Bike-Sharing Usage," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    8. Engels, Benno & Liu, Gang-Jun, 2011. "Social exclusion, location and transport disadvantage amongst non-driving seniors in a Melbourne municipality, Australia," Journal of Transport Geography, Elsevier, vol. 19(4), pages 984-996.
    9. Valkiria Amaya & Matthias Chardon & Helen Klein & Thibauld Moulaert & Nicolas Vuillerme, 2022. "What Do We Know about the Use of the Walk-along Method to Identify the Perceived Neighborhood Environment Correlates of Walking Activity in Healthy Older Adults: Methodological Considerations Related ," Sustainability, MDPI, vol. 14(18), pages 1-37, September.
    10. Ziqi Li & A. Stewart Fotheringham & Taylor M. Oshan & Levi John Wolf, 2020. "Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using Akaike Weights," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 110(5), pages 1500-1520, September.
    11. 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.
    12. Eunju Hwang & Nancy Brossoie & Jin Wook Jeong & Kimin Song, 2021. "The Impacts of the Neighborhood Built Environment on Social Capital for Middle-Aged and Elderly Koreans," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    13. 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.
    14. Cheng, Long & Wang, Kailai & De Vos, Jonas & Huang, Jie & Witlox, Frank, 2022. "Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 175-187.
    15. Yi Zhang & Yuan Li & Qixing Liu & Chaoyang Li, 2014. "The Built Environment and Walking Activity of the Elderly: An Empirical Analysis in the Zhongshan Metropolitan Area, China," Sustainability, MDPI, vol. 6(2), pages 1-17, February.
    16. Chuang Gao & Jiabin Yu & Xiaoguang Zhao & Haibao Wang & Zhiyong Liu & Yaodong Gu, 2022. "The Effect of Built Environment on Older People Leisure-Time Walking and Physical Activity in Different Sex Groups in the City of Ningbo, China," Sustainability, MDPI, vol. 14(11), pages 1-10, May.
    17. 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.
    18. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    19. 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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