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Impacts of Built Environment on Urban Vitality: Regression Analyses of Beijing and Chengdu, China

Author

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  • Shiwei Lu

    (Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources of China, Shenzhen 518034, China
    School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Chaoyang Shi

    (School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Xiping Yang

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
    Geomatics Technology and Application key Laboratory of Qinghai Province, Xining 810001, China)

Abstract

The loss of urban vitality is an important problem in the development of urban central areas. Analyzing the correlation between urban built environment and urban vitality supports urban planning and design. However, current research excludes the study of how consistent built environment factors affect urban vitality of cities with different development situations. Therefore, using social media check-in data, this paper measures neighborhood vibrancy in urban central areas in Beijing and Chengdu, China. Four levels of spatial information were used to measure the built environment: regulatory planning management unit (RPMU), land use, road network, and building. Regression model is used to quantify the correlation between urban vitality and the built environment of these two cities. The study found a strong correlation between built environment factors and urban vitality. Among the built environment factors, points of interest (POI) diversity and public transport accessibility indicators were strongly positively correlated with neighborhood vibrancy. However, the density indicators had totally different effects on urban vitality of cities with different development situations, which is excluded in existing studies. This research strengthens the practical understanding of the compact city concept, and can support the design and planning of urban built environment.

Suggested Citation

  • Shiwei Lu & Chaoyang Shi & Xiping Yang, 2019. "Impacts of Built Environment on Urban Vitality: Regression Analyses of Beijing and Chengdu, China," IJERPH, MDPI, vol. 16(23), pages 1-16, November.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:23:p:4592-:d:288857
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    References listed on IDEAS

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    1. Up Lim & George Galster, 2009. "The dynamics of neighborhood property crime rates," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(4), pages 925-945, December.
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    Cited by:

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    2. Runde Fu & Xinhuan Zhang & Degang Yang & Tianyi Cai & Yufang Zhang, 2021. "The Relationship between Urban Vibrancy and Built Environment: An Empirical Study from an Emerging City in an Arid Region," IJERPH, MDPI, vol. 18(2), pages 1-20, January.
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    5. Wang, Xiaoxi & Zhang, Yaojun & Yu, Danlin & Qi, Jinghan & Li, Shujing, 2022. "Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China," Land Use Policy, Elsevier, vol. 119(C).
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    8. Nuria Vidal Domper & Gonzalo Hoyos-Bucheli & Marta Benages Albert, 2023. "Jane Jacobs’s Criteria for Urban Vitality: A Geospatial Analysis of Morphological Conditions in Quito, Ecuador," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
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    11. 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.
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    13. 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.
    14. Ziyu Wang & Nan Xia & Xin Zhao & Xing Gao & Sudan Zhuang & Manchun Li, 2023. "Evaluating Urban Vitality of Street Blocks Based on Multi-Source Geographic Big Data: A Case Study of Shenzhen," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    15. Xuanting Li & Xiaohong Wang & Shaopeng Zhang, 2022. "Impacts of Urban Spatial Development Patterns on Carbon Emissions: Evidence from Chinese Cities," Land, MDPI, vol. 11(11), pages 1-16, November.
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