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Spatial structure system of land use along urban rail transit based on GIS spatial clustering
European Journal of Remote Sensing ( IF 3.7 ) Pub Date : 2020-11-14 , DOI: 10.1080/22797254.2020.1801356
Yu Gao 1 , Ying Zhang 1 , Hedjar Alsulaiman 2
Affiliation  

ABSTRACT

During the past 30 years of reform and opening up, the level of urbanization in our country has made considerable progress, and more cities have had development conditions of the rail transit. In order to solve various problems caused by urbanization and optimize the allocation of urban resources, in this paper, the significance of spatial planning in big cities was analyzed from the perspective of land space utilization along with the rail transit. Based on GIS spatial clustering mining technology and combined with the basic characteristics of geographic information system, a GIS spatial mining search model that can solve the spatial land use was proposed. Then, by combining the clustering algorithm of some association rules, the land planning and utilization along the urban rail transit were calculated. The actual case was taken to establish the grid elements along with the rail transit, and the GIS spatial clustering algorithm was used to verify the model. The results show that GIS spatial clustering algorithm can effectively verify and calculate urban rail transit land planning programs.



中文翻译:

基于GIS空间聚类的城市轨道交通沿线土地利用空间结构体系

摘要

改革开放30年来,我国城镇化水平取得长足进步,更多城市具备轨道交通发展条件。为解决城镇化带来的各种问题,优化城市资源配置,本文从土地空间利用和轨道交通的角度分析大城市空间规划的意义。基于GIS空间聚类挖掘技术,结合地理信息系统的基本特点,提出了一种解决空间土地利用问题的GIS空间挖掘搜索模型。然后,结合一些关联规则的聚类算法,计算出城市轨道交通沿线土地规划利用情况。以实际案例为轨道交通沿线建立网格单元,并利用GIS空间聚类算法对模型进行验证。结果表明,GIS空间聚类算法能够有效地验证和计算城市轨道交通用地规划方案。

更新日期:2020-11-14
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