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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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    Cited by:

    1. Jinyao Lin & Yaye Zhuang & Yang Zhao & Hua Li & Xiaoyu He & Siyan Lu, 2022. "Measuring the Non-Linear Relationship between Three-Dimensional Built Environment and Urban Vitality Based on a Random Forest Model," IJERPH, MDPI, vol. 20(1), pages 1-18, December.
    2. 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).
    3. Hongyu Gong & Xiaozihan Wang & Zihao Wang & Ziyi Liu & Qiushan Li & Yunhan Zhang, 2022. "How Did the Built Environment Affect Urban Vibrancy? A Big Data Approach to Post-Disaster Revitalization Assessment," IJERPH, MDPI, vol. 19(19), pages 1-25, September.
    4. 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.
    5. 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.
    6. 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.
    7. Zhenwei Wang & Xiaochun Wang & Zijin Dong & Lisan Li & Wangjun Li & Shicheng Li, 2023. "More Urban Elderly Care Facilities Should Be Placed in Densely Populated Areas for an Aging Wuhan of China," Land, MDPI, vol. 12(1), pages 1-13, January.
    8. 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.
    9. Jing Huang & Xiao Hu & Jieqiong Wang & Andong Lu, 2023. "How Diversity and Accessibility Affect Street Vitality in Historic Districts?," Land, MDPI, vol. 12(1), pages 1-23, January.
    10. Yuan Lai & Jiatong Li & Jiachen Zhang & Lan Yan & Yifeng Liu, 2022. "Do Vibrant Places Promote Active Living? Analyzing Local Vibrancy, Running Activity, and Real Estate Prices in Beijing," IJERPH, MDPI, vol. 19(24), pages 1-19, December.
    11. Jing Yu & Yingying Meng & Size Zhou & Huaiwen Zeng & Ming Li & Zhaoxia Chen & Yan Nie, 2023. "Research on Spatial Delineation Method of Urban-Rural Fringe Combining POI and Nighttime Light Data—Taking Wuhan City as an Example," IJERPH, MDPI, vol. 20(5), pages 1-22, March.
    12. Peng Zang & Hualong Qiu & Fei Xian & Linchuan Yang & Yanan Qiu & Hongxu Guo, 2022. "Nonlinear Effects of the Built Environment on Light Physical Activity among Older Adults: The Case of Lanzhou, China," IJERPH, MDPI, vol. 19(14), pages 1-15, July.
    13. Yihao Jiang & Zhaojin Chen & Pingjun Sun, 2022. "Urban Shrinkage and Urban Vitality Correlation Research in the Three Northeastern Provinces of China," IJERPH, MDPI, vol. 19(17), pages 1-22, August.
    14. Bahram Zikirya & Xiong He & Ming Li & Chunshan Zhou, 2021. "Urban Food Takeaway Vitality: A New Technique to Assess Urban Vitality," IJERPH, MDPI, vol. 18(7), pages 1-18, March.
    15. 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.
    16. 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.
    17. Fangjie Cao & Yun Qiu & Qianxin Wang & Yan Zou, 2022. "Urban Form and Function Optimization for Reducing Carbon Emissions Based on Crowd-Sourced Spatio-Temporal Data," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    18. Sang-Hyeok Lee & Jung Eun Kang, 2022. "Spatial Disparity of Visitors Changes during Particulate Matter Warning Using Big Data Focused on Seoul, Korea," IJERPH, MDPI, vol. 19(11), pages 1-16, May.

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