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How Does the Living Street Environment in the Old Urban Districts Affect Walking Behavior? A General Multi-Factor Framework

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  • Jingyi Dong

    (School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China)

  • Jun Zhang

    (School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China)

  • Xudong Yang

    (School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China)

Abstract

To strike a trade-off between walking behavior and street resource constraint, extensive research tends to focus on how the urban environment affects walking behavior. However, most of the existing impact measurements focus on the cities in low-latitude temperate environments, which may not truly reflect the situation when assessing high-latitude cities. To address this drawback, in this paper, a general multi-factor framework is introduced to quantify the influence of street-level environmental factors on walking behavior. Specifically, a framework is constructed by comprehensively considering the subjective data and the objective data of Harbin, China, which is mainly composed of multivariate measurement indicators, a multi-source data analysis library, and four-dimensional evaluation paradigm. The results indicate that two main measures can promote the current situation of human-oriented living street environment planning, namely, increasing the distribution of green facilities and life service facilities in the old urban districts living street, and paying attention to the diversity of street greening and street landscape. The proposed framework is conducive to improve the planning status of human-centered street environments and guide the construction of pedestrian-friendly life and healthy streets.

Suggested Citation

  • Jingyi Dong & Jun Zhang & Xudong Yang, 2023. "How Does the Living Street Environment in the Old Urban Districts Affect Walking Behavior? A General Multi-Factor Framework," Sustainability, MDPI, vol. 15(18), pages 1-14, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13733-:d:1240041
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    References listed on IDEAS

    as
    1. Eun Jung Kim & Suin Jin, 2023. "Walk Score and Neighborhood Walkability: A Case Study of Daegu, South Korea," IJERPH, MDPI, vol. 20(5), pages 1-12, February.
    2. Mimi Tian & Zhixing Li & Qinan Xia & Yu Peng & Tianlong Cao & Tianmei Du & Zeyu Xing, 2022. "Walking in China’s Historical and Cultural Streets: The Factors Affecting Pedestrian Walking Behavior and Walking Experience," Land, MDPI, vol. 11(9), pages 1-25, September.
    3. Bradley Bereitschaft, 2017. "Equity in Microscale Urban Design and Walkability: A Photographic Survey of Six Pittsburgh Streetscapes," Sustainability, MDPI, vol. 9(7), pages 1-20, July.
    4. Tiziana Campisi & Socrates Basbas & Giovanni Tesoriere & Mirto Trouva & Thomas Papas & Iva Mrak, 2020. "How to Create Walking Friendly Cities. A Multi-Criteria Analysis of the Central Open Market Area of Rijeka," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    5. Mei Liu & Ying Jiang & Junliang He, 2021. "Quantitative Evaluation on Street Vitality: A Case Study of Zhoujiadu Community in Shanghai," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
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