基于多源数据的老旧工业厂区再生更新潜力评价与实证研究

作者:王丹 潘雨红 王婷
单位:重庆交通大学经济与管理学院
摘要:随着老工业城市产业转型,大批工业建筑闲置,如何有效更新这些老旧工业厂区是城市建设面临的巨大挑战。本文从7个维度构建老旧工业厂区再生更新潜力评价指标体系,并基于多源数据,结合大数据GIS平台,用组合赋权和TOPSIS法建立评价模型,选取重庆中心城区颇具代表性的6个待更新的老旧工业厂区项目进行潜力评价,为老旧工业厂区再生更新的优先权提供决策参考。
关键词:老旧工业厂区再生更新潜力评价多源数据
作者简介:王丹,硕士研究生,研究方向:城市更新。;*潘雨红(通讯作者),教授,博士,主要研究方向:城市更新、可持续建设。;
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Evaluation and Empirical Study on Regeneration and Renewal Potential of Old Industrial Estate Based on Multi-source Data
WANG Dan PAN Yuhong WANG Ting
(School of Economics and Management,Chongqing Jiaotong University)
Abstract: With the industrial transformation of old industrial cities,a large number of industrial buildings are idle,and the effective renewal of old industrial estate is a great challenge for urban construction. This paper constructs the evaluation index system of renewal potential from 7 dimensions. Based on multi-source data,uses the subjective and objective weighting and TOPSIS method to establish an evaluation model combined with the big data GIS platform. Then,applies the model to 6 representative projects of old industrial estate that haven't been regenerated in the main urban area of Chongqing to evaluate the renewal potential,hoping to provide a reference for decision-making of the priority of the regeneration and renewal of old industrial estate.
Keywords: old industrial estate; regeneration and renewal; potential evaluation; multi-source data;
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