摘要
城市轨道交通的建设和运营推动城市交通系统的完善和社会经济的发展,但随着客流量的日益增长,行人在城市轨道交通车站内的步行需求与站内引导行人流的设施设备之间产生矛盾,导致乘客步行时间增加。文章选取重庆市轨道交通3号线上的重庆交通大学站进行数据调研,将行人按年龄分为3个不同群体,并设定23组自变量。为探究自变量对行人步行速度的具体影响,建立基于行人微观行为的回归分析模型,将行人步行速度设为因变量。最后根据回归结果筛选出10组对站内行人步行速度影响显著的变量参数,以此帮助城市轨道交通车站提升服务水平,提高站内行人通行效率。
The construction and operation of urban rail transit have promoted the improvement of urban transportation system and socio-economic development.With the increase of passenger flow,the contradiction between the pedestrian walking demand and the equipment for guiding pedestrian flow inside the station has led to an increase in walking time of passengers.This article conducts data research by selecting the Chongqing Jiaotong University station on line 3 of Chongqing rail transit,dividing pedestrians into three groups by age,and formulating 23 independent variables.To investigate the influence of independent variables on pedestrian walking speed,a regression analysis model based on pedestrian micro behavior is established,with pedestrian walking speed as the dependent variable.Finally,based on the regression results,10 sets of variable parameters that have a significant impact on the walking speed of pedestrians in the station are selected,so as to assist urban rail transit stations to improve their service level and increase the efficiency of pedestrian traffic in the station.
作者
陶俊臣
马新露
钱行
TAO Junchen;MA Xinlu;QIAN Hang(Chongqing Jiaotong University,Chongqing 400074,China;Sichuan Provincial Highway Planning,Survey,Design and Research Institute Co.,Ltd.,Chongqing 610000,China)
出处
《现代城市轨道交通》
2024年第8期111-115,共5页
Modern Urban Transit
基金
重庆市研究生联合培养基地建设项目(JDLHPYJD2020027)。
关键词
城市轨道交通
车站
行人行为分析
多元线性回归模型
urban rail transit
station
pedestrian behavior analysis
multiple linear regression model
作者简介
第一作者:陶俊臣,男,硕士研究生;通信作者:钱行,男,高级工程师。
