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地理国情在武汉市土地资源承载力评价中的应用 被引量:8

Carrying Capacity Evaluation of Land Resources in Wuhan Based on the Geographical Condition Monitoring
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摘要 基于武汉市地理国情数据,围绕城市土地资源承载力问题,研究建立了一套城市土地资源承载力评价技术方法。首先,根据土地利用功能进行“三生用地空间”划分,将市、区有关经济统计指标按街道进行了尺度下推;其次,在分析评价适宜建设开发用地、已利用建设用地、可开发用地资源的基础上,开展了土地资源承载状态的综合评价;最后,利用地理加权回归分析方法,分析了人口、经济、交通因素对土地资源承载状态的影响。该方法将城市土地资源承载力评价由传统的人口承载力测算转换为开发建设状态评价,不仅为城市承载力评价提供了一种新的分析思路,也为制定精细化和差异化的城市建设用地资源配置和调控政策提供了科学依据。 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.
作者 罗名海 蒋子龙 程琦 秦思娴 杨娜娜 张歆越 LUO Minghai;JIANG Zilong;CHENG Qi;QIN Sixian;YANG Nana;ZHANG Xinyue(Wuhan Geomatics Institute,Wuhan 430022,China;The College of Urban and Environmental Science,Central China Normal University,Wuhan 430079,China;School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China)
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2018年第12期2317-2324,共8页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金(41471109) 中央高校基本科研业务费专项资金(2042016kf0066) 地理国情监测国家测绘地理信息局重点实验室开放基金(2016NGCM10)~~
关键词 地理国情监测 土地资源承载力 空间规划 开发强度 geographic condition monitoring land carrying capacity spatial planning development intensity
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