轨道交通车站周边土地开发对客流特征的影响分析
Analysis of the Impact of Land Development Around Rail Transit Station on Passenger Flow Characteristics
邓雪 1侯蓉华 1陈泓旭2
作者信息
- 1. 成都轨道交通集团有限公司,四川 成都 610036;成都轨道交通职业学院 运输系,四川 成都 610400
- 2. 西南交通大学希望学院 交通运输系,四川 成都 610400
- 折叠
摘要
以长沙市轨道交通为研究对象,基于长沙市轨道交通 2023 年 5 月 AFC数据、轨道站点出入口 600 m范围内兴趣点数据、手机信令数据,探究轨道交通站点客流特征与周边土地开发的关系.从车站集散量和客流均匀性 2 个维度将车站分为 4 类,利用 K-means 聚类算法基于站点周边土地开发特征、工作岗位数、常住人口数将车站分为 6 种类型.随后利用随机森林回归算法分析土地开发特征对车站客流特征的影响.研究表明,商务住宅、金融保险服务、公司企业、科教文化等 4 类业态对车站的客流吸引较强,公司企业、金融保险服务、购物服务等 3 类业态能够对车站的客流持续产生吸引.
Abstract
Taking Changsha rail transit as the research subject,this study investigated the relation-ship between passenger flow characteristics at rail transit stations and the surrounding land develop-ment.The analysis was based on AFC data from May 2023,points of interest(POI)data within 600 meters of metro station entrances and exits,and mobile signaling data.The stations were categorized in-to four types based on two dimensions of station traffic volume and passenger flow uniformity.Using the K-means clustering algorithm,the stations were further classified into six types based on character-istics of surrounding land development,number of jobs,and resident population.Subsequently,the random forest regression algorithm was used to analyze the impact of land development characteristics on the passenger flow features of the station.The study indicates that business residential areas,finan-cial and insurance services,corporate enterprises,and educational and cultural facilities significantly at-tract passenger flow to the stations.Additionally,corporate enterprises,financial and insurance serv-ices,and shopping services consistently sustain passenger flow at the stations.
关键词
轨道交通/客流特征/土地开发/聚类分析/随机森林Key words
rail transit/passenger flow characteristics/land development/cluster analysis/random forest regression algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据