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Non-Linear Effects of the Built Environment and Social Environment on Bus Use among Older Adults in China: An Application of the XGBoost Model

Author

Listed:
  • Lanjing Wang

    (State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Chunli Zhao

    (Transport & Roads, Department of Technology and Society, Faculty of Engineering, Lund University, 221 00 Lund, Sweden)

  • Xiaofei Liu

    (Key Laboratory of Advanced Public Transportation Science, China Academy of Transportation Sciences, MOT, Beijing 100029, China)

  • Xumei Chen

    (Key Laboratory of Advanced Public Transportation Science, China Academy of Transportation Sciences, MOT, Beijing 100029, China)

  • Chaoyang Li

    (State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Tao Wang

    (State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Jiani Wu

    (State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Yi Zhang

    (State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

Global aging has raised increasing concerns on the health and well-being of older adults. Public transport is a viable option to improve the mobility and quality of life among older adults. However, policies that promote the public transport use among older adults are rare. This study utilizes the eXtreme Gradient Boosting (XGBoost) decision tree to explore the non-linear associations of the built and social environment with bus use among older adults in China. The bus use of older adults was obtained from the Zhongshan Household Travel Survey (ZHTS) in 2012. Results show that non-linear relationships exist among all built environment and social environment characteristics. Within certain thresholds, the percentage of green space land use, land use mixture, bus-stop density, and dwelling unit density are positively related to bus use among older adults. Likewise, one social environment variable, the proportion of older adults in a neighborhood, is the key social environment variable. Furthermore, the dwelling unit density and proportion of older adults appear to have an inverse U-shaped relationship. Additionally, age, ownership of motorcycles, and distance from home to the nearest bus stop also show non-linearity. The findings presented in this paper facilitate effective planning interventions to promote bus use among older adults.

Suggested Citation

  • Lanjing Wang & Chunli Zhao & Xiaofei Liu & Xumei Chen & Chaoyang Li & Tao Wang & Jiani Wu & Yi Zhang, 2021. "Non-Linear Effects of the Built Environment and Social Environment on Bus Use among Older Adults in China: An Application of the XGBoost Model," IJERPH, MDPI, vol. 18(18), pages 1-22, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:18:p:9592-:d:633740
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    References listed on IDEAS

    as
    1. Böcker, Lars & Anderson, Ellinor & Uteng, Tanu Priya & Throndsen, Torstein, 2020. "Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 389-401.
    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. Chatman, Daniel G., 2008. "Deconstructing development density: Quality, quantity and price effects on household non-work travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(7), pages 1008-1030, August.
    4. Li, Shaoying & Lyu, Dijiang & Huang, Guanping & Zhang, Xiaohu & Gao, Feng & Chen, Yuting & Liu, Xiaoping, 2020. "Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 82(C).
    5. 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.
    6. Ding, Chuan & Cao, Xinyu & Liu, Chao, 2019. "How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds," Journal of Transport Geography, Elsevier, vol. 77(C), pages 70-78.
    7. 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.
    8. Guglielmo Bonaccorsi & Federico Manzi & Marco Del Riccio & Nicoletta Setola & Eletta Naldi & Chiara Milani & Duccio Giorgetti & Claudia Dellisanti & Chiara Lorini, 2020. "Impact of the Built Environment and the Neighborhood in Promoting the Physical Activity and the Healthy Aging in Older People: An Umbrella Review," IJERPH, MDPI, vol. 17(17), pages 1-27, August.
    9. Chakour, Vincent & Eluru, Naveen, 2016. "Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal," Journal of Transport Geography, Elsevier, vol. 51(C), pages 205-217.
    10. Luis Martínez & José Viegas & Elisabete Silva, 2009. "A traffic analysis zone definition: a new methodology and algorithm," Transportation, Springer, vol. 36(5), pages 581-599, September.
    11. Jonas De Vos & Tim Schwanen & Veronique Van Acker & Frank Witlox, 2013. "Travel and Subjective Well-Being: A Focus on Findings, Methods and Future Research Needs," Transport Reviews, Taylor & Francis Journals, vol. 33(4), pages 421-442, July.
    12. Ding, Chuan & Cao, Xinyu (Jason) & Næss, Petter, 2018. "Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 107-117.
    13. Zhang, Yongsheng & Yao, Enjian & Zhang, Rui & Xu, Hao, 2019. "Analysis of elderly people's travel behaviours during the morning peak hours in the context of the free bus programme in Beijing, China," Journal of Transport Geography, Elsevier, vol. 76(C), pages 191-199.
    14. Cao, Jason & Ettema, Dick, 2014. "Satisfaction with travel and residential self-selection: How do preferences moderate the impact of the Hiawatha Light Rail Transit line?," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 93-108.
    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. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
    17. Alsnih, Rahaf & Hensher, David A., 2003. "The mobility and accessibility expectations of seniors in an aging population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 903-916, December.
    18. Le Yu & Binglei Xie & Edwin H. W. Chan, 2018. "How does the Built Environment Influence Public Transit Choice in Urban Villages in China?," Sustainability, MDPI, vol. 11(1), pages 1-15, December.
    19. Vergel-Tovar, C. Erik & Rodriguez, Daniel A., 2018. "The ridership performance of the built environment for BRT systems: Evidence from Latin America," Journal of Transport Geography, Elsevier, vol. 73(C), pages 172-184.
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    Cited by:

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