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Affiliation of Author(s):

管理学院

Journal:

Land Use Policy

Key Words:

Experience-based mining; Existing practice; Urban renewal mode decisions; Multi-stakeholder

Abstract:

As a complex systematic process, urban renewal needs to balance the multiple goals that transfer the original socio-economic foundation to the contemporary social-economic needs under a multi-stakeholder environment. The urban renewal mode decision determines the planning direction in an urban renewal project. How to select options from different urban renewal modes before implementation phase has been a decision-making dilemma. No existing method yet is available to give a satisfactory solution. Therefore, an existing experience-based method for analyzing and summarizing rules of urban renewal mode decision is suitable for this study. This paper adopts experience-based mining method to extract practical experiences from previous urban renewal projects for supporting urban renewal mode decisions with involvement of multi-stakeholder. Data are retrieved from materials of urban renewal projects in China, and an experience-based mining system of urban renewal mode decisions is constructed through text mining and case experience engine. The results reveal that: (1) Urban renewal mode decisions can be supported by experience extracted from case base of urban renewal mode decisions; (2) Urban renewal modes can be classified to development modes (conservation, renovation and redevelopment), resettlement modes (on-site resettlement and off-site resettlement), mode decisions relate to development foundation, development demand and multi-stakeholders’ decision-making role; (3) Different groups of stakeholders represent differentiated renewal demand preferences. The decision-making roles of some groups are not fully available in current urban renewal practices. The experience-based mining approach provides practical support for urban renewal mode decisions that could be relevant key points for guidance of future urban renewal decision-making in China.

Co-author:

周滔

First Author:

lanfeng,zhouyulin

Indexed by:

Journal paper

Volume:

106

Issue:

105428

ISSN No.:

0264-8377

Translation or Not:

no

Date of Publication:

2021-04-10