Parcel-level evaluation of urban land use efficiency based on multisource spatiotemporal data: A case study of Ningbo City, China

被引:0
|
作者
Li, Jun [1 ,2 ]
Zhu, Yan [1 ]
Liu, Juqing [1 ]
Zhang, Chengye [1 ]
Sang, Xiao [1 ]
Zhong, Qianqian [1 ]
机构
[1] China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing, Peoples R China
[2] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
LIJIANG RIVER-BASIN; PATTERNS; COORDINATION; AGRICULTURE; CLIMATE; SPRAWL; IMPACT; GROWTH; REGION;
D O I
10.1111/tgis.12753
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Parcel-level evaluation of urban land use efficiency is necessary for city administrations to understand land use status and problems, and to further optimize land use pattern and policy. However, existing research on urban land use efficiency is mainly carried out at city level or block level, and it is difficult to meet the demand for rapid access to fine-grained land use efficiency across the entire city. In view of this problem, this article proposes a parcel-level evaluation method of urban land use efficiency based on multisource spatiotemporal data, including an evaluation index system for parcel-level land use efficiency, quantitative representation of evaluation indexes based on multisource spatiotemporal data, and a land use efficiency calculation model. The proposed method is then applied to China's Ningbo City, and the evaluation accuracy is 78% compared with the officially reported data and on-site investigation. Experimental results also show that urban land use efficiency is strongly spatially autocorrelated in Ningbo City, and reveal the impact patterns of factors such as planning policy, facilities, traffic conditions and environmental conditions on the utilization efficiency of different types of land. This research has proved able to accurately evaluate the utilization efficiency of all land parcels across a city in a rapid manner, and to obtain their distribution characteristics and correlation factors. It can further provide data and technical support for formulating targeted urban planning policies and implementing scientific land development.
引用
收藏
页码:2766 / 2790
页数:25
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