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武汉市不同站域建成环境与轨道交通站点客流特征关系分析
引用本文:李清嘉,彭建东,杨红. 武汉市不同站域建成环境与轨道交通站点客流特征关系分析[J]. 地球信息科学学报, 2021, 23(7): 1246-1258. DOI: 10.12082/dqxxkx.2021.200687
作者姓名:李清嘉  彭建东  杨红
作者单位:武汉大学城市设计学院,武汉 430072
基金项目:国家自然科学基金项目(71871027)
摘    要:中国已经成为全世界城市轨道交通建设里程最长、建设速度最快的国家,合理识别城市轨道站点类别与影响不同类别站点客流特征的建成环境因素对轨道交通的建设具有十分重要的作用.因此,本文以武汉市为例,通过轨道交通刷卡数据,运用引入客流特征的EM聚类方法,将轨道交通站点分为职住错位型、居住导向型、就业导向型、居住综合型、就业综合型、...

关 键 词:城市轨道交通  站点分类  建成环境  AFC数据  聚类分析  无序多分类logistic回归  客流特征  武汉市
收稿时间:2020-11-14

Research on Relationship Analysis between Passenger Flow Characteristics of Rail Transit Stations and Built Environment of Different Station Areas in Wuhan
LI Qingjia,PENG Jiandong,YANG Hong. Research on Relationship Analysis between Passenger Flow Characteristics of Rail Transit Stations and Built Environment of Different Station Areas in Wuhan[J]. Geo-information Science, 2021, 23(7): 1246-1258. DOI: 10.12082/dqxxkx.2021.200687
Authors:LI Qingjia  PENG Jiandong  YANG Hong
Affiliation:School of Urban Design Wuhan University, Wuhan 430072, China
Abstract:China has become the country with the longest urban rail transit construction mileage and the highest construction speed in the world. Thus, It is of great significance for the construction of rail transit to reasonably identify different types of urban railway stations and environmental building factors that affect the characteristics of passenger flow. In this study, we take Wuhan as an example. We divide rail transit sites into six types (jobs-housing mismatch, residence-oriented, employment-oriented, comprehensive residence, comprehensive employment, and integrated type) through analyzing automatic fare collection system data and using EM clustering method with the introduction of passenger flow characteristics. On this basis, a multinomial logistic regression model is established to quantitatively analyze the impact of built-in environmental factors on the characteristics of rail transit passenger flow at different types of stations within the passenger flow attraction range. Taking comprehensive stations as control group, the results are shown as follows: (1) The densities of road network and intersection have a significant impacts on the passenger flow characteristics of all types of stations. A lower road network density and a higher intersection density are more beneficial to jobs-housing balance. (2) The density of bus station is negatively correlated with the passenger flow characteristics of employment-oriented stations. (3) The proportion of commercial land is negatively correlated with the passenger flow characteristics of jobs-housing mismatch, residence-oriented, and comprehensive residence stations. (4) The proportion of service industry facility land is negatively correlated with the passenger flow characteristics of jobs-housing mismatch, residence-oriented, and comprehensive employment stations. (5) The proportion of land used for scientific research and education is negatively correlated with the passenger flow characteristics of residence-oriented and employment-oriented stations. (6) The degree of land use mixture is negatively correlated with the passenger flow characteristics of residence-oriented and employment-integrated stations. This study is of great significance to coordinated development of rail transit construction, rail transit, and land use in Wuhan.
Keywords:urban rail transit  station classification  built environment  automatic fare collection data  cluster analysis  multinomial logistic regression  passenger flow characteristics  Wuhan  
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