交通运输研究2023，Vol.9Issue(5)：63-72,10.DOI:10.16503/j.cnki.2095-9931.2023.05.006
基于客流特征的城市轨道交通站点分类
Classification of Urban Rail Transit Stations Based on Passenger Flow Characteristics:A Case Study of Qingdao
杜光远 1吴瑞 2谭桂菲 2赵向宇 2王昌 2张晓悦2
作者信息
- 1. 交通运输部科学研究院,北京 100029
- 2. 交科院技术咨询(北京)有限公司,北京 100029
- 折叠
摘要
Abstract
In order to improve the connecting service capacity between urban rail transit and bus transit,and enhance the overall attractiveness of the urban public transportation system,the rail transit stations were classified based on service needs,and some suggestions for bus transit connecting services were pro-posed for different types of rail transit stations.Based on the smart card data of Qingdao rail transit,the characteristics of passenger travel and passenger flow distribution at stations were extracted,and K-Means algorithm was applied to classify rail transit stations.Combined with the passenger flow characteristics of rail transit stations,the rail transit stations were identified as work-oriented stations,mixed work-residence stations,residential-oriented stations and commercial stations.On this basis,taking into account the passenger flow characteristics and passenger travel characteristics of different rail transit stations,some suggestions for bus transit transfer services at different types of rail transit stations were proposed:for work-oriented stations,it is recommended to implement a transfer bus op-eration schedule with the goal of minimizing the total transfer time of passengers to reduce passenger waiting delays;for mixed work-residence stations,it is recommended to use customized bus modes to provide customized public transportation to provide personalized travel services;for residential-orient-ed stations,it is recommended to provide a"regional tour customized bus"service to improve the oper-ational efficiency of connecting buses while ensuring public services;for commercial stations,it is rec-ommended to provide leisure micro circulation lines on weekends or in peak tourist seasons to meet the travel needs of passengers in this area for shopping.关键词
城市轨道交通/聚类算法/出行客流特征/刷卡数据/车站分类Key words
urban rail transit/clustering algorithm/passenger flow characteristics/smart card data/classification of stations分类
交通工程引用本文复制引用
杜光远,吴瑞,谭桂菲,赵向宇,王昌,张晓悦..基于客流特征的城市轨道交通站点分类[J].交通运输研究,2023,9(5):63-72,10.
