Carrying Capacity Evaluation of Land Resources in Wuhan Based on the Geographical Condition Monitoring

LUO Minghai; JIANG Zilong; CHENG Qi; QIN Sixian; YANG Nana; ZHANG Xinyue

doi:10.13203/j.whugis20180389

Volume 43 Issue 12

Dec. 2018

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Geomatics and Information Science of Wuhan University > 2018 > 43(12): 2317-2324. > DOI: 10.13203/j.whugis20180389

LUO Minghai, JIANG Zilong, CHENG Qi, QIN Sixian, YANG Nana, ZHANG Xinyue. Carrying Capacity Evaluation of Land Resources in Wuhan Based on the Geographical Condition Monitoring[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2317-2324. DOI: 10.13203/j.whugis20180389

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Carrying Capacity Evaluation of Land Resources in Wuhan Based on the Geographical Condition Monitoring

1.
Wuhan Geomatics Institute, Wuhan 430022, China
2.
The College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China
3.
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Funds:

The National Natural Science Foundation of China 41471109

the Fundamental Research Funds for the Central Universities 2042016kf0066

Geographical Condition Monitoring of State Key Laboratory of Surveying and Mapping of Geographic Information Council Foundation 2016NGCM10

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Author Bio:
LUO Minghai, PhD, senior engineer, specializes in the theories and methods of geographical condition monitoring. E-mail: Luominghai@163.com
Corresponding author:
JIANG Zilong, PhD, lecturer. E-mail:zljiang@mail.ccnu.edu.cn
Received Date: October 21, 2018
Published Date: December 04, 2018

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Abstract

Abstract

This paper conduct a research on carrying capacity evaluation methods and framework of urban land resources based on data from the geographic condition monitoring of Wuhan City. Firstly, we divide the space type according to the land use and scale down the economical statistic indexes into street scale. Secondly, we establish a comprehensive carrying capacity assessment of urban land resources based on the analysis of the construction suitable land, the constructed land and the construction available land. Finally, geographic weighted regression (GWR) tool is adapted to investigate influence of factors including urban population, economy and traffic. The use of GWR transforms the evaluation of urban land resources carrying capacity from traditional population capacity to the evaluation of development status and capability, which not only provides a new way of analysis for the evaluation of urban carrying capacity, but also offers scientific basis for making accurate and differentiated policy of urban construction land resource allocation.
- geographic condition monitoring,
- land carrying capacity,
- spatial planning,
- development intensity

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Carrying Capacity Evaluation of Land Resources in Wuhan Based on the Geographical Condition Monitoring

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