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本文以计划行为理论为基础框架，从出行者使用接驳工具的经验和对接驳工具属性评价两个维度分别引入出行习惯、感知态度两类潜变量，构建城市轨道站点接驳方式选择意向的多指标多因果模型，探究城市轨道站点接驳方式选择意向的影响因素及其作用路径，并在此基础上结合巢式Logit模型构建混合选择模型，探究出发端与到达端接驳方式选择行为的影响因素及其影响机理。结果表明：行为习惯潜变量直接影响接驳方式选择意向，感知态度对步行、共享单车接驳选择意向具有直接影响；显著影响接驳方式选择意向的可观测变量有学历、车辆保有情况、收入情况、接驳距离及出行人数；相较于慢行交通与道路公共交通，私人小汽车、电动车的有无对私人交通方式接驳选择行为影响较大；学历和职业等个人社会经济属性，出行目的和出行人数等出行属性，以及主观规范和行为意向等心理属性对出行者城市轨道出发端和到达端接驳方式选择行为均有显著影响；相较于到达端，出行费用、主观规范及行为态度对出发端接驳方式选择行为的影响更大，且出发端接驳方式选择对到达端的接驳决策行为具有影响。
Abstract：Based on the framework of planning behavior theory, this study introduces two latent variables(travel habits and perceived attitudes) from the dimensions of travelers' experience in using connection tools and attribute evaluation of connection tools to construct a multi-index multicausal model of choice intention of urban rail station connection mode. In addition, the influencing factors and their action paths for the choice intention of the urban rail station connection mode are investigated. A hybrid-choice model was established by combining with a nested logit model to examine the influencing factors and influencing mechanisms of the choice behavior of the connection mode at the origin and destination sides of the urban rail station. The results show that the latent variables of behavioral habits directly influence the choice intention of the connection mode, and the perceived attitude has a direct impact on the choice intention of the walking and shared bicycle connection. The observable variables that significantly influence the choice intention of the connection mode are education background, vehicle ownership, income, connection distance, and number of travelers. The presence or absence of private cars and electric vehicles has a greater impact than slow traffic and road public transportation on the choice of private transportation modes. Personal socioeconomic attributes such as education and occupation, travel attributes such as travel purpose and number of travelers, and psychological attributes such as subjective norms and behavior intentions significantly influence the origin-and destination-side mode choice behaviors. Travel cost, subjective norms, and behavioral attitude have a greater impact on the choice of the connection mode at the origin side than at the destination side. The choice of the connection mode at the origin side impacts the connection decision-making behavior at the destination side.
[1]陈锦渠,吴雨遥,殷勇,等.城市轨道交通站点可达性研究[J].交通运输工程与信息学报, 2020, 18(4):38-45.CHEN Jinqu, WU Yuyao, YIN Yong, et al. Analysis of urban rail transit station’s accessibility[J]. Journal of Transportation Engineering and Information, 2020, 18(4):38-45.
[2]殷勇,鞠子奇,吴雨遥,等.国外轨道交通发展对我国城市群轨道交通一体化的启示[J].交通运输工程与信息学报, 2021, 19(1):52-58.YIN Yong, JU Ziqi, WU Yuyao, et al. The enlightenment of foreign rail transit development to the rail transit integration of China megalopolis[J]. Journal of Transportation Engineering and Information, 2021, 19(1):52-58.
[3] GOEL R, TIWARI G. Access-egress and other travel characteristics of metro users in Delhi and its satellite cities[J]. IATSS Research, 2016, 39(2):164-172.
[4]郑长江,杨淑茜,张小丽,等.基于多项Logit模型的轨道站点接驳方式选择[J].贵州大学学报（自然科学版）,2018, 35(3):120-124.ZHENG Changjiang, YANG Shuqian, ZHANG Xiaoli,et al. Selection of rail station feeder mode based on multinomial logit model[J]. Journal of Guizhou University(Natural Sciences), 2018, 35(3):120-124.
[5]周家中.出行链视角下城市轨道交通接驳方式联合选择模型[J].铁道标准设计, 2016, 60(4):4-7.ZHOU Jiazhong. Joint selection model of urban rail transit access modes based on trip chain[J]. Railway Standard Design, 2016, 60(4):4-7.
[6] BRONS M, GIVONI M, RIETVELD P. Access to railway stations and its potential in increasing rail use[J]. Transportation Research Part A:Policy and Practice, 2009, 43(2):136-149.
[7]陈坚,晏启鹏,杨飞,等.出行方式选择行为的SEMLogit整合模型[J].华南理工大学学报（自然科学版）,2013, 41(2):51-57, 65.CHEN Jian, YAN Qipeng, YANG Fei, et al. SEM-logit integration model of travel mode choice behaviors[J]. Journal of South China University of Technology(Natural Science Edition), 2013, 41(2):51-57, 65.
[8]景鹏,隽志才,查奇芬.考虑心理潜变量的出行方式选择行为模型[J].中国公路学报, 2014, 27(11):84-92, 108.JING Peng, JUAN Zhicai, ZHA Qifen. Incorporating psychological latent variables into travel mode choice model[J]. China Journal of Highway and Transport, 2014, 27(11):84-92, 108.
[9]王玲.城市中小学生通学出行方式选择研究[D].重庆:重庆交通大学, 2022.WANG Ling. Research on travel mode choice of urban primary and middle school students[D]. Chongqing:Chongqing Jiaotong University, 2022.
[10] MARTíNEZ M J, CORNEJO J. Value of the facilities and attributes of new heavy rail and bus rapid transit projects in a developing city:the case of Lima, Peru[J].Transportation Research Record:Journal of the Transportation Research Board, 2003, 1835(1):50-58.
[11]金晓东.基于计划行为理论的城市轨道交通站点接驳方式选择研究[D].成都:西南交通大学, 2021.JIN Xiaodong. Research on the access mode choice of urban rail transit stations based on theory of planned behavior[D]. Chengdu:Southwest Jiaotong University,2021.
[12]杨敏,吴静娴,赵静瑶,等.城市轨道交通多方式组合出行与接驳设施优化[J].城市交通, 2017, 15(5):64-69, 77.YANG Min, WU Jingxian, ZHAO Jing-yao, et al. Optimizing multimodal transfer facility design forurban rail transit service[J]. Urban Transport of China, 2017, 15(5):64-69, 77.
[13]侯露露.城市轨道交通接驳方式选择行为研究[D].西安:长安大学, 2021.HOU Lulu. Research on the behavior of access mode choice of urban rail transit[D]. Xi’an:Chang’an University, 2021.
[14]贾思宁.考虑排除规则异质性的两阶段接驳方式选择行为研究[D].南京:南京大学, 2021.JIA Sining. Two-stage access mode choice behavior considering the heterogeneity of the exclusion rule[D]. Nanjing:Nanjing University, 2021.
[15]杨惠婷.城市轨道交通站点接驳方式选择研究[D].南京:东南大学, 2018.YANG Huiting. Research on the access-egress mode choice of urban rail transit stations[D]. Nanjing:Southeast University, 2018.
[16]王云泽,李英杰,唐立.交通运输从业者对自动驾驶接受度建模与分析[J].交通运输工程与信息学报, 2023,21(2):42-54.WANG Yunze, LI Yingjie, TANG Li. Modeling and analysis of autonomous driving acceptance by transportation practitioners[J]. Journal of Transportation Engineering and Information, 2023, 21(2):42-54.
[17]罗伯特·F.德威利斯（Robert F.Devellis）著.量表编制:理论与应用[M].魏勇刚,龙长权,宋武译.重庆:重庆大学出版社, 2004.
[18]陈坚,张弛,庹永恒,等.考虑环保意识和出行习惯的公交出行选择行为模型[J].交通运输系统工程与信息, 2020, 20(4):128-135.CHEN Jian, ZHANG Chi, TUO Yongheng, et al. Travel mode choice behavior model of public transit incorporating environmental concern and habit[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(4):128-135.
[19]周雅欣.基于“态度-行为”缺口的公交出行行为影响因素及决策机理分析[D].西安:长安大学, 2020.ZHOU Yaxin. Analysis on the influencing factors and decision mechanism of public transit travel behavior based on“attitude behavior”gap[D]. Xi’an:Chang’an University, 2020.
[20]许冰,邵春福,钱剑培,等.扩展计划行为理论框架下城际出行方式选择建模[J].交通工程, 2018, 18(3):28-35.XU Bing, SHAO Chunfu, QIAN Jianpei, et al. Modelling for intercity travel mode choice under the theory of extended planned behavior[J]. Journal of Transportation Engineering, 2018, 18(3):28-35.
[21]王娟.公共租赁住房居民出行行为及方式选择研究[D].重庆:重庆交通大学, 2015.WANG Juan. Research of regional traffic characteristics based on mobile signaling technology[D]. Chongqing:Chongqing Jiaotong University, 2015.
[22]鲜于建川,隽志才.城市摩托车交通出行特征与出行方式选择行为研究[J].交通运输系统工程与信息,2008, 8(5):136-140.XIAN-YU Jianchuan, JUAN Zhicai. Travel behavior and mode choice of urban motorcycle[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(5):136-140.
[23]高一鸣.大城市中低收入群体出行行为研究[D].北京:北京交通大学, 2022.GAO Yiming. Study on travel behavior of low-income groups in big cities[D].Beijing:Beijing Jiaotong University, 2022.
[24]任悦.城市居民绿色通勤行为的影响因素研究:以江苏省徐州市为例[D].徐州:中国矿业大学, 2020.REN Yue. Research on the influencing factors of urban residents’green commuting behavior[D]. Xuzhou:China University of Mining and Technology, 2020.
[25]杨敏,高磊,尤雨婷.城市轨道交通多方式组合出行行为模型与接驳设施配置优化[M].北京:科学出版社,2018:57-64.
基本信息:
DOI：10.19961/j.cnki.1672-4747.2023.10.007
中图分类号:U239.5
引用信息:
[1]傅玉玲,孙小慧,张佳欣.考虑心理潜变量的城市轨道站点接驳方式选择行为研究[J].交通运输工程与信息学报,2024,22(01):160-174.DOI:10.19961/j.cnki.1672-4747.2023.10.007.
基金信息:
新疆维吾尔自治区自然科学基金项目（2021D01C104）
2023-10-09
2023
2023-11-16
2023-12-29
2023
1
2023-11-21
2023-11-21
2023-11-21