Double-Aspect Method for Identifying Spatial Patterns of Inefficient Land in Inner-City Zhanjiang, China
Publication: Journal of Urban Planning and Development
Volume 145, Issue 3
Abstract
The term inefficient land refers to developed or built-up land that has little worth, below expected worth, or unsatisfactory utilization. It is necessary to identify the spatial pattern of inefficient land. Remote-sensing interpretation (RSI) and land-use evaluation (LUE) are mature methods used to achieve this goal, but the socioeconomic information they provide is hard to read and unintuitive. Using urban district of Zhanjiang, China, as a case, this study uses a double-aspect method (DAM), a comprehensive evaluation method, to identify the spatial patterns of inefficient land in an inner-city location. Results show that inefficient land accounted for 9.44% of the built-up land in the study area. In these areas, socioeconomic requirements were not met due to the irrational utilization of land. Land with a better location, higher worth, and fewer costs and limitations was preferred for redevelopment. The DAM was found to be more useful than RSI and LUE. Its use could help scientifically determine which urban land should be redeveloped in built-up areas similar to the urban district of Zhanjiang in international communities.
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Acknowledgments
This work was funded by the National Natural Science Foundation of China (Grant No. 41801188), Humanities and Social Science Foundation of China (Grant Nos. 15 YJAZH071 and 18YJCZH096), and Natural Science Foundation Project of Shandong Province (Project No. ZR2014DM016). The paper was completed with support also from the Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation, Guangdong Province Key Laboratory of Land-Use and Consolidation, and Guangzhou service government base.
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Journal of Urban Planning and Development
Volume 145 • Issue 3 • September 2019
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©2019 American Society of Civil Engineers.
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Received: Mar 6, 2018
Accepted: Dec 14, 2018
Published online: Jun 11, 2019
Published in print: Sep 1, 2019
Discussion open until: Nov 11, 2019
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