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Evaluation and Optimization of Walkability of Children’s School Travel Road for Accessibility and Safety Improvement

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  • Jia Zhao

    (School of Architecture, Tianjin University, Tianjin 300072, China
    Beijing Municipal Institute of City Planning & Design, Beijing 100045, China
    These authors contributed equally to this work These authors contributed equally to this work.)

  • Wei Su

    (School of Architecture, Tianjin University, Tianjin 300072, China
    Tianjin University Urban Planning and Design Institute Co., Ltd., Tianjin 300072, China
    These authors contributed equally to this work These authors contributed equally to this work.)

  • Jiancheng Luo

    (College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China)

  • Jin Zuo

    (School of Architecture, Tianjin University, Tianjin 300072, China
    Tianjin Laboratory of Creative Urban Design, Tianjin University, Tianjin 300072, China)

Abstract

(1) Background: In the context of a children friendly city, accessibility and safety are the basic needs of children’s pedestrian school travel. This study proposes a comprehensive evaluation method of pedestrian accessibility and safety for children’s school travel. (2) Methods: Firstly, the school travel network was constructed by simulating the path of children walking to school. Secondly, from the meso and micro dimensions, the impact factors of pedestrian accessibility and safety were combed out, and an evaluation index system was constructed. Finally, pedestrian accessibility and safety were evaluated based on the Space Syntax analysis and ArcGIS spatial analysis, and the results were superimposed and spatially differentiated. The new evaluation method was tested in the Jintang Road area in Hedong District, Tianjin, China. (3) Results: The pedestrian accessibility and safety of children’s school travel road in the study area needed to be improved. It was found that the main impact factors were the effective walking width, the spatial connectivity, the visual integration, the obstruction of pedestrian safety, the completeness of crossing facilities and the influence of traffic flow and put forward optimization strategies. After optimized simulation verification, the overall improvement was achieved. (4) Conclusion: The evaluation method is helpful to calculate the pedestrian accessibility and safety of children’s school travel, and help decision makers determine the design and management strategies of child-friendly streets.

Suggested Citation

  • Jia Zhao & Wei Su & Jiancheng Luo & Jin Zuo, 2021. "Evaluation and Optimization of Walkability of Children’s School Travel Road for Accessibility and Safety Improvement," IJERPH, MDPI, vol. 19(1), pages 1-19, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:71-:d:708589
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    References listed on IDEAS

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    1. Raktim Mitra, 2013. "Independent Mobility and Mode Choice for School Transportation: A Review and Framework for Future Research," Transport Reviews, Taylor & Francis Journals, vol. 33(1), pages 21-43, January.
    2. Battista, Geoffrey A. & Manaugh, Kevin, 2018. "Stores and mores: Toward socializing walkability," Journal of Transport Geography, Elsevier, vol. 67(C), pages 53-60.
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    Cited by:

    1. Greg Rybarczyk & Ayse Ozbil & Demet Yesiltepe & Gorsev Argin, 2023. "Walking alone or walking together: A spatial evaluation of children’s travel behavior to school," Environment and Planning B, , vol. 50(9), pages 2560-2578, November.
    2. Yue Tang & Li Zhu & Jiang Li & Ni Zhang & Yilin Sun & Xiaokang Wang & Honglin Wu, 2023. "Assessment of Perceived Factors of Road Safety in Rural Left-Behind Children’s Independent Travel: A Case Study in Changsha, China," Sustainability, MDPI, vol. 15(13), pages 1-23, June.
    3. Xiaofeng Ji & Haotian Guan & Mengyuan Lu & Fang Chen & Wenwen Qin, 2022. "International Research Progress in School Travel and Behavior: A Literature Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(14), pages 1-25, July.

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