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The Impact of the Neighborhood Built Environment on the Commuting Patterns and Health of Patients with Chronic Diseases: A Case Study of Changshu, China

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  • Hao Wu

    (Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China)

  • Hongbin Wang

    (Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China)

  • Duanyang Liu

    (Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China)

  • Yang Cao

    (Jiangsu Province City Layout Design Research Institute, Nanjing 210036, China)

  • Yawei Qu

    (College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing 211169, China)

Abstract

The health of patients with chronic diseases is affected not only by factors such as eating and living habits, but also by the neighborhood built environment, and by travel conditions. Using 18 blocks in the main urban area of Changshu, China, we performed structural equation modelling, to explore the relationships between the neighborhood built environment, the commuting patterns of patients with chronic diseases, and patient health. We first divided the commuting patterns into four categories—walking/biking, public transportation, electric vehicles/motorcycles, and cars—and conducted a street-scale questionnaire survey. Secondly, we divided ‘health’ into three latent variables—physical health, mental health, and healthy behavior—and analyzed the factors influencing the street environment. Finally, we verified our theoretical framework through a mathematical statistical analysis model. We found that: (1) service facility, environmental quality, and community safety perception in the neighborhood built environment significantly impacted commuting patterns; (2) the patient’s physical health was significantly correlated with healthy behaviors and daily commuting patterns; and (3) socioeconomic attributes directly affected neighborhood environmental satisfaction, and indirectly affected the patient’s health. Neighborhood environmental satisfaction also directly affected the patient’s health, and there was a cross-influence relationship between these factors. We propose strengthening the walkability and connectivity of the neighborhood built environment, and improving the health awareness of patients, and their willingness to participate in healthy behaviors.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11201-:d:909269
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    References listed on IDEAS

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    1. Sandow, Erika, 2008. "Commuting behaviour in sparsely populated areas: evidence from northern Sweden," Journal of Transport Geography, Elsevier, vol. 16(1), pages 14-27.
    2. Antonio M. Bento & Maureen L. Cropper & Ahmed Mushfiq Mobarak & Katja Vinha, 2005. "The Effects of Urban Spatial Structure on Travel Demand in the United States," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 466-478, August.
    3. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    4. Marlena Pielak & Ewa Czarniecka-Skubina & Joanna Trafiałek & Artur Głuchowski, 2019. "Contemporary Trends and Habits in the Consumption of Sugar and Sweeteners—A Questionnaire Survey among Poles," IJERPH, MDPI, vol. 16(7), pages 1-15, April.
    5. Santos, Georgina & Maoh, Hanna & Potoglou, Dimitris & von Brunn, Thomas, 2013. "Factors influencing modal split of commuting journeys in medium-size European cities," Journal of Transport Geography, Elsevier, vol. 30(C), pages 127-137.
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    1. 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.

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