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Prioritization of old community renewal projects based on stakeholders' preferences – The case of Beijing, China

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  • Ding, He
  • Yi, Zheng
  • Xiwei, Xu
  • Yang, Xie
  • Shouyi, Ding

Abstract

Old community renewal is an important part of urban regeneration. Prioritization of old community renewal projects (OCRP) is crucial to every strategy for urban regeneration. Existing research focuses on qualitative analysis rather than multi-stakeholder participation or quantitative analysis between equity and efficiency. Diverse stakeholders involved in such subjective judgment often have conflicts due to unclear benefits sharing, which hinders the progress of urban regeneration.

Suggested Citation

  • Ding, He & Yi, Zheng & Xiwei, Xu & Yang, Xie & Shouyi, Ding, 2025. "Prioritization of old community renewal projects based on stakeholders' preferences – The case of Beijing, China," Socio-Economic Planning Sciences, Elsevier, vol. 101(C).
    • Handle: RePEc:eee:soceps:v:101:y:2025:i:c:s0038012125001107
    DOI: 10.1016/j.seps.2025.102261
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    References listed on IDEAS

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    1. Begoña Vitoriano & M. Ortuño & Gregorio Tirado & Javier Montero, 2011. "A multi-criteria optimization model for humanitarian aid distribution," Journal of Global Optimization, Springer, vol. 51(2), pages 189-208, October.
    2. Rosenthal, Stuart S., 2008. "Old homes, externalities, and poor neighborhoods. A model of urban decline and renewal," Journal of Urban Economics, Elsevier, vol. 63(3), pages 816-840, May.
    3. Dezhi Li & Xuyan Shang & Guanying Huang & Shenghua Zhou & Mian Zhang & Haibo Feng, 2024. "Can Smart City Construction Enhance Citizens’ Perception of Safety? A Case Study of Nanjing, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 171(3), pages 937-965, February.
    4. Zhang, Jiayu & Yang, Xiaodong & Wang, Hao, 2021. "Age-friendly regeneration of urban settlements in China: Game and incentives of stakeholders in decision-making," Land Use Policy, Elsevier, vol. 111(C).
    5. Lin, Sheng-Hau & Huang, Xianjin & Fu, Guole & Chen, Jia-Tsong & Zhao, Xiaofeng & Li, Jia-Hsuan & Tzeng, Gwo-Hshiung, 2021. "Evaluating the sustainability of urban renewal projects based on a model of hybrid multiple-attribute decision-making," Land Use Policy, Elsevier, vol. 108(C).
    6. Huang, Michael & Smilowitz, Karen & Balcik, Burcu, 2012. "Models for relief routing: Equity, efficiency and efficacy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 2-18.
    7. Him Chung & Su-Hong Zhou, 2011. "Planning for Plural Groups? Villages-in-the-city Redevelopment in Guangzhou City, China," International Planning Studies, Taylor & Francis Journals, vol. 16(4), pages 333-353.
    8. Bowen Zhang & Weimin Guo & Zhaolian Xing & Ren Zhou, 2022. "Current Situation and Sustainable Renewal Strategies of Public Space in Chinese Old Communities," Sustainability, MDPI, vol. 14(11), pages 1-20, May.
    Full references (including those not matched with items on IDEAS)

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