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Decision support for sustainable urban renewal: A multi-scale model

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  • Zheng, Wei
  • Shen, Geoffrey Qiping
  • Wang, Hao
  • Hong, Jingke
  • Li, Zhengdao

Abstract

Developed cities are troubled by various challenges, including urban dilapidation, environmental pollution, traffic congestion, lack of facility provision, and economic decline. Urban renewal, as an important agenda in most countries, holds the aim of addressing these urban problems. With the inherent complexity of urban renewal, renewal initiatives do not always follow an unsustainable path, which has obtained much criticism from both academia and the public. Therefore, an informative decision-making process would contribute to better renewal outcomes. Previous research has mainly focused on one aspect of urban renewal, in which a comprehensive perspective is lacking. The multi-scale feature of urban renewal initiatives also adds complexity and uncertainty to decision-making. Therefore, this paper proposes a multi-scale model that supports decision-making on realizing sustainable urban renewal. Three sub-modules and a supporting database are included in the model. City, district, and neighborhood scales are the foci of the three sub-modules. Both temporal and spatial data are included in the database. Through experimental study and expert interview, the effectiveness of this model is validated.

Suggested Citation

  • Zheng, Wei & Shen, Geoffrey Qiping & Wang, Hao & Hong, Jingke & Li, Zhengdao, 2017. "Decision support for sustainable urban renewal: A multi-scale model," Land Use Policy, Elsevier, vol. 69(C), pages 361-371.
    • Handle: RePEc:eee:lauspo:v:69:y:2017:i:c:p:361-371
    DOI: 10.1016/j.landusepol.2017.09.019
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    References listed on IDEAS

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    8. Cheng, Hui & Lai, Yani & De Tong,, 2021. "Decoding the decision-making in the new wave of urban redevelopment in China: A case study of a bottom-up industrial land redevelopment in Shenzhen," Land Use Policy, Elsevier, vol. 111(C).
    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. Liu, Xiping & Zhang, Xiaoling & Sun, Wen, 2022. "Does the agglomeration of urban producer services promote carbon efficiency of manufacturing industry?," Land Use Policy, Elsevier, vol. 120(C).
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    12. Nesticò, Antonio & Elia, Cristina & Naddeo, Vincenzo, 2020. "Sustainability of urban regeneration projects: Novel selection model based on analytic network process and zero-one goal programming," Land Use Policy, Elsevier, vol. 99(C).
    13. Li, Dezhi & Du, Bingzhen & Zhu, Jin, 2021. "Evaluating old community renewal based on emergy analysis: A case study of Nanjing," Ecological Modelling, Elsevier, vol. 449(C).
    14. Salihoğlu, Tayfun & Albayrak, Ayşe Nur & Eryılmaz, Yaşasın, 2021. "A method for the determination of urban transformation areas in Kocaeli," Land Use Policy, Elsevier, vol. 109(C).
    15. Omidipoor, Morteza & Jelokhani-Niaraki, Mohammadreza & Moeinmehr, Athena & Sadeghi-Niaraki, Abolghasem & Choi, Soo-Mi, 2019. "A GIS-based decision support system for facilitating participatory urban renewal process," Land Use Policy, Elsevier, vol. 88(C).

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