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Evaluating the Effects of Built Environment on Street Vitality at the City Level: An Empirical Research Based on Spatial Panel Durbin Model

Author

Listed:
  • Wanshu Wu

    (School of Architecture, Huaqiao University, Xiamen 361021, China)

  • Ziying Ma

    (School of Architecture, Huaqiao University, Xiamen 361021, China)

  • Jinhan Guo

    (School of Architecture, Huaqiao University, Xiamen 361021, China)

  • Xinyi Niu

    (College of Architecture & Urban Planning, Tongji University, Shanghai 200092, China
    Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat, Tongji University, Ministry of Education, Shanghai 200092, China)

  • Kai Zhao

    (School of Statistics, Huaqiao University, 668 Jimei Rd., Xiamen 361021, China
    Modern Applied Statistics and Big Data Research Center, Huaqiao University, Xiamen 361021, China)

Abstract

There is evidence that the built environment has an influence on street vitality. However, previous studies seldom assess the direct, indirect, and total effect of multiple environmental elements at the city level. In this study, the features of the street vitality on Xiamen Island are described based on the location-based service Big Data. Xiamen Island is the central urban area of Xiamen, one of the national central cities in China. With the help of multi-source data such as street view images, the condition of design that is difficult to effectively measure with traditional data can be better explored in detail on a macro scale. The built environment is measured through a 5D system at the city level, including Density, Diversity, Design, Destination accessibility, and Distance to transit. Spatial panel Durbin models are constructed to analyze the influence of the built environment on the street vitality on weekdays and weekends, and the direct, indirect, and total effects are evaluated. Results indicate that at the city level, the built environment plays a significant role in promoting street vitality. Functional density is not statistically significant. Most of the elements have spatial effects, except for several indicators in the condition of the design. Compared with the conclusions of previous studies, some indicators have different effects on different spatial scales. For instance, on the micro scale, greening can enhance the attractiveness of streets. However, on the macro scale, too much greening brings fewer functions along the street, which inhibits the street vitality. The condition of design has the greatest effect, followed by destination accessibility. The differences in the influences of weekdays and weekends are mainly caused by commuting behaviors. Most of the built environment elements have stronger effects on weekends, indicating that people interact with the environment more easily during this period.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1664-:d:739934
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    References listed on IDEAS

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    2. Chengzhe Lyu, 2024. "Exploring the Influence of Dynamic Indicators in Urban Spaces on Residents’ Environmental Behavior: A Case Study in Shanghai Utilizing Mixed-Methods Approach and Artificial Neural Network (ANN) Modeli," Sustainability, MDPI, vol. 16(8), pages 1-27, April.
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    5. Qikang Zhong & Bo Li & Tian Dong, 2024. "Building sustainable slow communities: the impact of built environments on leisure-time physical activities in Shanghai," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-21, December.
    6. Jiayi Liu & Yanbin Li & Yanhan Xu & Castiel Chen Zhuang & Yang Hu & Yue Yu, 2024. "Impacts of Built Environment on Urban Vitality in Cultural Districts: A Case Study of Haikou and Suzhou," Land, MDPI, vol. 13(6), pages 1-26, June.
    7. Han Zou & Ruichao Liu & Wen Cheng & Jingjing Lei & Jing Ge, 2023. "The Association between Street Built Environment and Street Vitality Based on Quantitative Analysis in Historic Areas: A Case Study of Wuhan, China," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    8. 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.

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