打印

作者

Bo Han;Xiaobin Jin;Jingxia Wang;Yanxing Yin;Chuanji Liu;Rui Sun;Yinkang Zhou

来源

HABITAT INTERNATIONAL,Vol.128,P.102661

语言

英文

关键字

作者单位

School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, 210023, China;Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing, 210023, China;Department of Urban Studies and Planning, University of Sheffield, Western Bank, Sheffield, S10 2TN, UK;Institute of Geography, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany;Jiangsu Land Development and Consolidation Technology Engineering Center, Nanjing, 210023, China;School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, 210023, China;Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing, 210023, China;Department of Urban Studies and Planning, University of Sheffield, Western Bank, Sheffield, S10 2TN, UK;Institute of Geography, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany;Jiangsu Land Development and Consolidation Technology Engineering Center, Nanjing, 210023, China;Center of Geo-Informatics for Public Security, School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China;Department of Geography, University of Cincinnati, OH, USA;Department of Geography and Planning, The University of Toledo, OH, USA;Department of Geography, The University of Hong Kong, Pokfulam Road, Hong Kong, China;State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China;School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China;Beijing Land and Space Big Data Center, Beijing Municipal Commission of Planning and Natural Resources, Beijing, 10045, China;Department of Architecture, School of Design and Environment, National University of Singapore, 4 Architecture Drive, Singapore;Urban and Regional Planning Department, University of Colorado Denver, CO, USA;Department of Geography & Earth Sciences, College of Liberal Arts & Sciences, The University of North Carolina at Charlotte, Charlotte, NC, USA;College of Arts and Architecture, The Pennsylvania State University, State College, Pennsylvania, USA;School of Public Administration of Guangxi University, No 100, Da Xue Road, Nanning, 530004, China;Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA;Regional Social Management Innovation Research Center of Guangxi University, No 100, Da Xue Road, Nanning, 530004, China;China Center for Agricultural Policy (CCAP), School of Advanced Agricultural Sciences, Peking University, No 5, Yi He Yuan Road, Beijing, 100871, China;Macro Agriculture Research Institute of Huazhong Agricultural University, Wuhan, 430070, China;School of Public Administration, Huazhong Agricultural University, Wuhan, 430070, China;Interdisciplinary Program in Landscape Architecture, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea;Department of Landscape Architecture – Urban Design Major, Graduate School of Environmental Studies, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea;Integrated Major in Smart City Global Convergence, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea

摘要

Inefficient urban land redevelopment is an important policy of Chinese government to achieve sustainable urban development. Currently, the decision-making mechanism in practice is lack of scientific support, which considerably affects the policy effectiveness. Previous studies focused on the redevelopment suitability, with seldom consideration directly linked to the feasibility of inefficient land redevelopment. To fill this gap, this study develops a redevelopment potential assessment framework including four aspects (benefit, cost, supply, and expectation of redevelopment) and builds a multi-scale redevelopment classification system using GIS and landscape index analysis approaches. Taking a fast-growing city, Chengdu, China as an example, we validate our framework and methods. Simultaneously, three conspicuous aspects in the process of inefficient urban land redevelopment were identified to facilitate decision making in our showcase: (1) Determine the classification and evaluation criteria of inefficient land according to local conditions. (2) Integrate potential assessment into the process of inefficient land database development. (3) Arrange the projects implementation schedule according to redevelopment potential and classification. The case can serve as a baseline for efficient and effective urban redevelopment decision-making in future, especially for a vast number of cities coping with challenges in fast urbanization and redevelopment decision making.