IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i7p991-d1429284.html
   My bibliography  Save this article

Spatial Characteristics of Multidimensional Urban Vitality and Its Impact Mechanisms by the Built Environment

Author

Listed:
  • Aibo Jin

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Yunyu Ge

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Shiyang Zhang

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

Abstract

Urban vitality, intricately connected to urban morphology, has long been a cornerstone of urban planning and design. The accelerated pace of urbanization has created abundant living and working spaces, but it has also brought about a series of issues such as traffic congestion, environmental pollution, insufficient public spaces, and uneven urban development, leading to a decline in urban vitality. The spatial distribution patterns of urban vitality and their influencing factors are diverse and vary across different cities, necessitating a multidimensional exploration of the relationship between urban vitality and the built environment. Utilizing the central urban area of Beijing as a case study, this research leverages multi-source urban spatial data to delineate the spatial characteristics of social, economic, cultural, and comprehensive vitality. Furthermore, a comprehensive set of built-environment indicators is developed across five dimensions to analyze their correlation with urban vitality. The results indicate: (1) There is a significant spatial clustering of various vitality types in Beijing, with a pronounced correlation between high-density population aggregation and vigorous economic activities. (2) Subdistricts exhibiting high social vitality display an “n”-shaped distribution around the Second Ring Road. In contrast, those with high economic vitality are concentrated along Chang’an Street and various district commercial centers. High cultural vitality subdistricts are distributed in a northwest–southeast trajectory from the Fourth Ring Road to the Second Ring Road, and subdistricts with high comprehensive vitality exhibit a concentric distribution radiating outwards from the center. (3) Social vitality is most closely related to comprehensive vitality, and the various vitality types in Beijing’s central urban area develop relatively evenly. (4) The built environment significantly affects all types of urban vitality. Factors such as floor area ratio, POI density, POI mixing degree, and intersection density are fundamental to enhancing urban vitality, whereas the greening rate somewhat inhibits it. (5) Future spatial planning should utilize the radiating effect of high-vitality subdistricts to optimize population distribution, enhance POI mixing, increase metro station density, and strengthen critical urban structures for synergistic economic and cultural development. This study provides a foundation and promotion strategies for optimizing the layout and enhancing vitality at the subdistrict scale within Beijing’s central urban area.

Suggested Citation

  • Aibo Jin & Yunyu Ge & Shiyang Zhang, 2024. "Spatial Characteristics of Multidimensional Urban Vitality and Its Impact Mechanisms by the Built Environment," Land, MDPI, vol. 13(7), pages 1-22, July.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:991-:d:1429284
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/7/991/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/7/991/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xueming Li & He Liu, 2021. "The Influence of Subjective and Objective Characteristics of Urban Human Settlements on Residents’ Life Satisfaction in China," Land, MDPI, vol. 10(12), pages 1-23, December.
    2. Xie, Rui & Yao, Siling & Han, Feng & Zhang, Qi, 2022. "Does misallocation of land resources reduce urban green total factor productivity? An analysis of city-level panel data in China," Land Use Policy, Elsevier, vol. 122(C).
    3. Gibson, John & Olivia, Susan & Boe-Gibson, Geua & Li, Chao, 2021. "Which night lights data should we use in economics, and where?," Journal of Development Economics, Elsevier, vol. 149(C).
    4. Yu Ye & Wei Zeng & Qiaomu Shen & Xiaohu Zhang & Yi Lu, 2019. "The visual quality of streets: A human-centred continuous measurement based on machine learning algorithms and street view images," Environment and Planning B, , vol. 46(8), pages 1439-1457, October.
    5. Anqi Zhang & Weifeng Li & Jiayu Wu & Jian Lin & Jianqun Chu & Chang Xia, 2021. "How can the urban landscape affect urban vitality at the street block level? A case study of 15 metropolises in China," Environment and Planning B, , vol. 48(5), pages 1245-1262, June.
    6. Bo Huang & Yulun Zhou & Zhigang Li & Yimeng Song & Jixuan Cai & Wei Tu, 2020. "Evaluating and characterizing urban vibrancy using spatial big data: Shanghai as a case study," Environment and Planning B, , vol. 47(9), pages 1543-1559, November.
    7. He, Qingsong & He, Weishan & Song, Yan & Wu, Jiayu & Yin, Chaohui & Mou, Yanchuan, 2018. "The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical ‘big data’," Land Use Policy, Elsevier, vol. 78(C), pages 726-738.
    8. Xuefeng Huang & Penghui Jiang & Manchun Li & Xin Zhao, 2022. "Applicable Framework for Evaluating Urban Vitality with Multiple-Source Data: Empirical Research of the Pearl River Delta Urban Agglomeration Using BPNN," Land, MDPI, vol. 11(11), pages 1-21, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Juhua Gao & Xingwu Duan & Qinglong Wang & Zijiang Yang & Ronghua Zhong & Xiaodie Yuan & Xiong He, 2025. "Spatial Mismatch Between Transportation Development and Tourism Spatial Vitality in Yunnan Province in the Context of Urban–Rural Integration," Land, MDPI, vol. 14(5), pages 1-18, May.
    2. Yuchen Xie & Jiaxin Zhang & Yunqin Li & Zehong Zhu & Junye Deng & Zhixiu Li, 2024. "Integrating Multi-Source Urban Data with Interpretable Machine Learning for Uncovering the Multidimensional Drivers of Urban Vitality," Land, MDPI, vol. 13(12), pages 1-24, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hu, Qiyu & Shen, Wencang & Yan, Jinming & Kong, Weilong & Li, Wei & Zhang, Zhengfeng, 2024. "Does existing mixed land development promote the urban spatial composite function? Evidence from Beijing, China," Land Use Policy, Elsevier, vol. 143(C).
    2. Xiquan Zhang & Lizhu Du & Xiaoyun Song, 2024. "Identification of Urban Renewal Potential Areas and Analysis of Influential Factors from the Perspective of Vitality Enhancement: A Case Study of Harbin City’s Core Area," Land, MDPI, vol. 13(11), pages 1-28, November.
    3. 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.
    4. Xuefeng Huang & Penghui Jiang & Manchun Li & Xin Zhao, 2022. "Applicable Framework for Evaluating Urban Vitality with Multiple-Source Data: Empirical Research of the Pearl River Delta Urban Agglomeration Using BPNN," Land, MDPI, vol. 11(11), pages 1-21, October.
    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).
    6. 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.
    7. He Liu & Xueming Li, 2022. "Understanding the Driving Factors for Urban Human Settlement Vitality at Street Level: A Case Study of Dalian, China," Land, MDPI, vol. 11(5), pages 1-20, April.
    8. 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.
    9. Tristan Earle Grupp & Prakash Mishra & Mathias Reynaert & Arthur A. van Benthem, 2023. "An Evaluation of Protected Area Policies in the European Union," CESifo Working Paper Series 10820, CESifo.
    10. Qingsong He & Miao Yan & Linzi Zheng & Bo Wang & Jiang Zhou, 2023. "The Effect of Urban Form on Urban Shrinkage—A Study of 293 Chinese Cities Using Geodetector," Land, MDPI, vol. 12(4), pages 1-17, March.
    11. Paköz, Muhammed Ziya & Yaratgan, Dilara & Şahin, Aydan, 2022. "Re-mapping urban vitality through Jane Jacobs’ criteria: The case of Kayseri, Turkey," Land Use Policy, Elsevier, vol. 114(C).
    12. Khalid Mohammed Almatar, 2024. "Rehumanize the Streets and Make Them More Smart and Livable in Arab Cities: Case Study: Tahlia Street; Riyadh City, Saudi Arabia," Sustainability, MDPI, vol. 16(8), pages 1-17, April.
    13. Xiangyan Wang & Jinye Li & Nannan Wang, 2023. "Are Economic Growth Pressures Inhibiting Green Total Factor Productivity Growth?," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    14. Stevovic Ivan & Jovanovic Jovana & Hadrovic Sabahudin, 2023. "Sustainable Development In Urban Areas In Correlation With Overpopulation," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 3, pages 5-13, June.
    15. Liu, Yang & Wang, Jianda & Dong, Kangyin & Taghizadeh-Hesary, Farhad, 2023. "How does natural resource abundance affect green total factor productivity in the era of green finance? Global evidence," Resources Policy, Elsevier, vol. 81(C).
    16. repec:osf:socarx:xvucn_v1 is not listed on IDEAS
    17. GIBSON, John & ZHANG, Xiaoxuan & PARK, Albert & YI, Jiang & XI, Li, 2024. "Remotely measuring rural economic activity and poverty : Do we just need better sensors?," CEI Working Paper Series 2023-08, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    18. Kanyou Sou & Hiroya Shiokawa & Kento Yoh & Kenji Doi, 2021. "Street Design for Hedonistic Sustainability through AI and Human Co-Operative Evaluation," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    19. He, Xi, 2023. "Dams, cropland productivity, and economic development in China," China Economic Review, Elsevier, vol. 81(C).
    20. Martí, Pablo & García-Mayor, Clara & Nolasco-Cirugeda, Almudena & Serrano-Estrada, Leticia, 2020. "Green infrastructure planning: Unveiling meaningful spaces through Foursquare users’ preferences," Land Use Policy, Elsevier, vol. 97(C).
    21. Liu, Yuting & Xu, Shuxian & Tian, Junfang & Liu, Tian-Liang & Dong, Tao, 2024. "What matters in promoting new town by High-Speed Railway station? Evidence from China," Transport Policy, Elsevier, vol. 159(C), pages 241-253.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:991-:d:1429284. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.