打印

作者

Guanghui Jiang;Yaya Tian;Ruijuan Zhang;Siduo Wu;Tianqian Chen

来源

HABITAT INTERNATIONAL,Vol.129,P.102619

语言

英文

关键字

作者单位

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;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 Geography, The University of Hong Kong, Pokfulam Road, Hong Kong, 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;College of Economics and Management, Nanjing Agricultural University, China;School of Management, Nanjing University of Posts and Telecommunications, China;Institute of Industrial Economics, Chinese Academy of Social Sciences, China;Centre for Environmental Research and Impact Studies, University of Bucharest, Nicolae Balcescu 1, 010041, Bucharest, Romania;Thomas More University of Applied Sciences, Zandpoortvest 60, 2800, Mechelen, Belgium;School of Public Administration and Policy, Renmin University of China, Beijing, 100872, 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

摘要

Land use pattern optimization is an inevitable choice to achieve efficient allocation of resources and factors. Assessing the effects of regional land use pattern change in a comprehensive and objective manner is of great importance in this regard. Taking rural residential land (RRL) as an example, this paper constructed a spatially oriented indicator system framework of “foundation - quality -efficiency” to assess the effects of land use pattern change, and quantitatively measured the effects of RRL pattern in Pinggu District in 2005 and 2015, then analysed the differences in the effects of varying types of RRL pattern changes, in turn, diagnosing the obstacles to improving the effects of RRL pattern. The results show that, the comprehensive effect of RRL pattern in Pinggu District was at a medium level and showed an increasing trend, the space foundation was better and remained stable, the space quality was at a medium level and decreased, while space efficiency was significantly improved from a precious medium level. There were both positive and negative bidirectional effects in the processes of spatial concentration and dispersion change of the RRL pattern. The effects of different RRL pattern change types were very distinct and showed significant spatial differentiation. We suggest that in the practice of RRL pattern adjustment, it is not possible to pursue an agglomeration pattern across the board. Instead, it should be selected and managed in such a way as to ensure an optimal level of effect, effectively taking into account the basic conditions of the RRL and the needs of production, living and ecology, to form a sustainable rural space for “safety in residence, easy living, suitable for living and permanent living”. This study assessed the effects of land use pattern changes from a spatial perspective, which can contribute to the formulation of policies for optimizing the regional land use pattern.