IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i11p1934-d1522659.html
   My bibliography  Save this article

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

Author

Listed:
  • Xiquan Zhang

    (School of Architecture and Design, Harbin Institute of Technology, Harbin 150001, China
    Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150001, China)

  • Lizhu Du

    (School of Architecture and Design, Harbin Institute of Technology, Harbin 150001, China
    Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150001, China)

  • Xiaoyun Song

    (School of Architecture and Design, Harbin Institute of Technology, Harbin 150001, China
    Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150001, China)

Abstract

In the context of people-centered and sustainable urban policies, identifying renewal potential based on vitality enhancement is crucial for urban regeneration efforts. This article collected population density data, house price data, and built environment data to examine the spatial pattern characteristics of Harbin’s core area using spatial autocorrelation analysis. Building on these findings, a geographically weighted regression (GWR) model was constructed to further analyze the influencing mechanisms of the relevant factors. The analysis revealed significant spatial development imbalances within Harbin’s core area, characterized by differentiated and uneven development of social and economic vitality between the old city and newly constructed areas. Notably, in certain regions, the construction intensity does not align with the levels of social and economic vitality, indicating potential opportunities for urban renewal. Furthermore, the examination of key influencing factors highlighted that the accessibility of commercial facilities and development intensity had the most substantial positive impact on social vitality. In contrast, the age of construction and the distribution of educational facilities demonstrated a strong positive correlation with economic vitality. By clearly delineating specific areas with urban renewal potential, this study provided a detailed characterization of the urban development pattern in Harbin. Additionally, by depicting the local variations in influencing factors, it established analytical foundations and objective references for urban planning in targeted locations. Ultimately, this research contributes new insights and frameworks for urban renewal analyses applicable to other regions.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:11:p:1934-:d:1522659
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/11/1934/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/11/1934/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pei Zhang & Tao Zhang & Hiroatsu Fukuda & Moheng Ma, 2023. "Evidence of Multi-Source Data Fusion on the Relationship between the Specific Urban Built Environment and Urban Vitality in Shenzhen," Sustainability, MDPI, vol. 15(8), pages 1-24, April.
    2. Wenli Dong & Xinyue Gao & Xiaowei Chen & Lihan Lin, 2023. "Industrial Park Renovation Strategy in a Poverty-Alleviated County Based on Inefficient Land Evaluation," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    3. 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.
    4. 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.
    5. 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.
    6. Daniel P. McMillen, 2004. "Geographically Weighted Regression: The Analysis of Spatially Varying Relationships," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 554-556.
    7. Wang, Hao & Zhao, Yizhu & Gao, Xichen & Gao, Boyang, 2021. "Collaborative decision-making for urban regeneration: A literature review and bibliometric analysis," Land Use Policy, Elsevier, vol. 107(C).
    8. 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.
    9. Liu, Yilun & Zhu, A-Xing & Wang, Jingli & Li, Wenkai & Hu, Guohua & Hu, Yueming, 2019. "Land-use decision support in brownfield redevelopment for urban renewal based on crowdsourced data and a presence-and-background learning (PBL) method," Land Use Policy, Elsevier, vol. 88(C).
    10. Yueran Wang & Wente Pan & Ziyan Liao, 2024. "Impact of Urban Morphology on High-Density Commercial Block Energy Consumption in Severe Cold Regions," Sustainability, MDPI, vol. 16(13), pages 1-26, July.
    Full references (including those not matched with items on IDEAS)

    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. 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. 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).
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. Wenshi Yang & Fan Chen & Qianqian Wei & Zhenwei Peng, 2024. "Relationships between Resident Activities and Physical Space in Shrinking Cities in China—The Case of Chaoyang City," Land, MDPI, vol. 13(4), pages 1-18, April.
    8. Liu, Yan & Wang, Siqin & Xie, Bin, 2019. "Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia," Transport Policy, Elsevier, vol. 76(C), pages 78-89.
    9. 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.
    10. Zheng, Wei & Wei, Sheng, 2024. "A ‘node-place-network-city’ framework to examine HSR station area development dynamics: Station typologies and development strategies," Journal of Transport Geography, Elsevier, vol. 120(C).
    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. Feng, Rundong & Wang, Kaiyong, 2022. "The direct and lag effects of administrative division adjustment on urban expansion patterns in Chinese mega-urban agglomerations," Land Use Policy, Elsevier, vol. 112(C).
    13. Hongli Liu & Xiaoyu Yan & Jinhua Cheng & Jun Zhang & Yan Bu, 2021. "Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry," Energies, MDPI, vol. 14(14), pages 1-21, July.
    14. Li Gao & Mingjing Huang & Wuping Zhang & Lei Qiao & Guofang Wang & Xumeng Zhang, 2021. "Comparative Study on Spatial Digital Mapping Methods of Soil Nutrients Based on Different Geospatial Technologies," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    15. Bahram Zikirya & Yueqing Xing & Chunshan Zhou, 2024. "The Matching Relationship Between the Distribution Characteristics of High-Grade Tourist Attractions and Spatial Vitality in Xinjiang," Sustainability, MDPI, vol. 16(21), pages 1-17, October.
    16. Guo, Shan & Li, Yilin & Hu, Yunhao & Xue, Fan & Chen, Bin & Chen, Zhan-Ming, 2020. "Embodied energy in service industry in global cities: A study of six Asian cities," Land Use Policy, Elsevier, vol. 91(C).
    17. 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.
    18. Kopczewska, Katarzyna & Ćwiakowski, Piotr, 2021. "Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of geographically weighted regression estimates of price determinants," Land Use Policy, Elsevier, vol. 103(C).
    19. 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).
    20. João Monteiro & Ana Clara Carrilho & Nuno Sousa & Leise Kelli de Oliveira & Eduardo Natividade-Jesus & João Coutinho-Rodrigues, 2023. "Do We Live Where It Is Pleasant? Correlates of Perceived Pleasantness with Socioeconomic Variables," Land, MDPI, vol. 12(4), pages 1-20, April.

    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:11:p:1934-:d:1522659. 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.