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A Systematic Measurement of Street Quality through Multi-Sourced Urban Data: A Human-Oriented Analysis

Author

Listed:
  • Lingzhu Zhang

    (Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Hong Kong, China)

  • Yu Ye

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Wenxin Zeng

    (Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Hong Kong, China)

  • Alain Chiaradia

    (Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Hong Kong, China)

Abstract

Many studies have been made on street quality, physical activity and public health. However, most studies so far have focused on only few features, such as street greenery or accessibility. These features fail to capture people’s holistic perceptions. The potential of fine grained, multi-sourced urban data creates new research avenues for addressing multi-feature, intangible, human-oriented issues related to the built environment. This study proposes a systematic, multi-factor quantitative approach for measuring street quality with the support of multi-sourced urban data taking Yangpu District in Shanghai as case study. This holistic approach combines typical and new urban data in order to measure street quality with a human-oriented perspective. This composite measure of street quality is based on the well-established 5Ds dimensions: Density, Diversity, Design, Destination accessibility and Distance to transit. They are combined as a collection of new urban data and research techniques, including location-based service (LBS) positioning data, points of interest (PoIs), elements and visual quality of street-view images extraction with supervised machine learning, and accessibility metrics using network science. According to these quantitative measurements from the five aspects, streets were classified into eight feature clusters and three types reflecting the value of street quality using a hierarchical clustering method. The classification was tested with experts. The analytical framework developed through this study contributes to human-oriented urban planning practices to further encourage physical activity and public health.

Suggested Citation

  • Lingzhu Zhang & Yu Ye & Wenxin Zeng & Alain Chiaradia, 2019. "A Systematic Measurement of Street Quality through Multi-Sourced Urban Data: A Human-Oriented Analysis," IJERPH, MDPI, vol. 16(10), pages 1-24, May.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:10:p:1782-:d:232736
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    References listed on IDEAS

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    Cited by:

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    2. Caigang, Zhuang & Shaoying, Li & Zhangzhi, Tan & Feng, Gao & Zhifeng, Wu, 2022. "Nonlinear and threshold effects of traffic condition and built environment on dockless bike sharing at street level," Journal of Transport Geography, Elsevier, vol. 102(C).
    3. Junyue Yang & Xiaomei Li & Jia Du & Canhui Cheng, 2023. "Exploring the Relationship between Urban Street Spatial Patterns and Street Vitality: A Case Study of Guiyang, China," IJERPH, MDPI, vol. 20(2), pages 1-15, January.
    4. Liying Gao & Xingchao Xiang & Wenjian Chen & Riqin Nong & Qilin Zhang & Xuan Chen & Yixing Chen, 2024. "Research on Urban Street Spatial Quality Based on Street View Image Segmentation," Sustainability, MDPI, vol. 16(16), pages 1-25, August.
    5. Yuliang Jiang & Yufeng Yang, 2022. "Environmental Justice in Greater Los Angeles: Impacts of Spatial and Ethnic Factors on Residents’ Socioeconomic and Health Status," IJERPH, MDPI, vol. 19(9), pages 1-26, April.
    6. Wanshu Wu & Ziying Ma & Jinhan Guo & Xinyi Niu & Kai Zhao, 2022. "Evaluating the Effects of Built Environment on Street Vitality at the City Level: An Empirical Research Based on Spatial Panel Durbin Model," IJERPH, MDPI, vol. 19(3), pages 1-24, January.
    7. Kai Zhao & Jinhan Guo & Ziying Ma & Wanshu Wu, 2023. "Exploring the Spatiotemporal Heterogeneity and Stationarity in the Relationship between Street Vitality and Built Environment," SAGE Open, , vol. 13(1), pages 21582440231, February.
    8. Yun Han & Chunpeng Qin & Longzhu Xiao & Yu Ye, 2024. "The nonlinear relationships between built environment features and urban street vitality: A data-driven exploration," Environment and Planning B, , vol. 51(1), pages 195-215, January.
    9. Qi Chen & Yibo Yan & Xu Zhang & Jian Chen, 2022. "A Study on the Impact of Built Environment Elements on Satisfaction with Residency Whilst Considering Spatial Heterogeneity," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    10. Linggui Liu & Yuheng Tu & Maoran Sun & Han Lyu & Peijie Wang & Jing He, 2024. "Spatial Quality Measurement and Characterization of Daily High-Frequency Pedestrian Streets in Xi’an City," Land, MDPI, vol. 13(6), pages 1-25, June.

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