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Study on coupling degree of rail transit capacity and land use based on multivariate data from cloud platform
Journal of Cloud Computing ( IF 3.7 ) Pub Date : 2020-01-21 , DOI: 10.1186/s13677-020-0151-x
Quanhua Hou , Yaotian Xing , Di Wang , Jiachen Liu , Xiaoyang Fan , Yaqiong Duan

The study of exploring the internal connection between rail transit and land use is of great significance for the coordinated development of urban space and rail transit construction, and it is also important for the intensive use of land affected by rail transit stations. The land use structure and population density surrounding the stations of Line 1.2.3 of Xi’an Rail Transit were clustered by SPSS for identifying the rail transit stations with high population density. Subsequently, We have established an indicator system of urban land use and rail transit operation capabilities based on multivariate data, and explored the coordinated relationship between rail transit and land use through data envelopment analysis (DEA) evaluation methods at high population density stations. Besides, the coupling degree of land use in rail transit stations with high population density was evaluated, and the key indicators affecting the coupling degree were further analyzed in Xi’an. In conclusion, this study finds that the relationship between rail transit capacity and land use of high population density rail transit stations is unbalanced. Hence, to promote the sustainable development of rail transit capacity and surrounding land, it is suggested that we should confine the development of land use intensity around the station, improve the service functions of small-scale living areas, and optimize the travel environment intended for short-distance travel. For residents, they are encouraged to choose the mode of rail transit for their long-distance travel. At the same time, the peak passenger flow at the stations should be evacuated accordingly.

中文翻译:

基于云平台多元数据的轨道交通容量与土地利用耦合度研究

探索轨道交通与土地利用之间的内在联系对于城市空间与轨道交通建设的协调发展具有重要意义,对于集约利用受轨道交通车站影响的土地也具有重要意义。利用SPSS对西安市轨道交通1.2.3号线车站周边的土地利用结构和人口密度进行聚类,确定高人口密度的轨道交通车站。随后,我们基于多元数据建立了城市土地利用和轨道交通运营能力的指标体系,并通过数据包络分析(DEA)评估方法在高人口密度车站探索了轨道交通与土地利用之间的协调关系。除了,对西安市人口密度较高的轨道交通车站土地利用耦合度进行了评价,并对影响耦合度的关键指标进行了分析。总之,本研究发现,高人口密度的轨道交通站点的轨道交通容量与土地利用之间的关系是不平衡的。因此,为促进铁路运输能力和周边土地的可持续发展,建议我们限制车站周围土地使用强度的发展,改善小规模居住区的服务功能,并优化预期的出行环境。短途旅行。对于居民,鼓励他们选择长途旅行的铁路运输方式。同时,
更新日期:2020-04-16
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