Commuters' intention to choose customized bus during COVID-19 pandemic: Insights from a two-phase comparative analysis

被引:9
作者
He, Linghui [1 ,3 ]
Li, Jian [1 ,2 ,3 ]
Guo, Yuntao [1 ,2 ]
Sun, Jianping [3 ]
机构
[1] Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, 4800 Caoan Rd, Shanghai 201804, Peoples R China
[2] Tongji Univ, Coll Transportat Engn, 4800 Caoan Rd, Shanghai 201804, Peoples R China
[3] Tongji Univ, Inst Urban Risk Management, 17, Lane 1377, Jiangchang Rd, Shanghai 200072, Peoples R China
关键词
COVID-19; Pandemic; Customized Bus Service; Structural Equation Model; Theory of Planning Behavior; Commuter Heterogeneity; PUBLIC-TRANSPORT; FIT INDEXES; PLANNED BEHAVIOR; TRANSIT SERVICE; SAMPLE-SIZE; SATISFACTION; TRAVEL; PATTERNS; LOYALTY; CHOICE;
D O I
10.1016/j.tbs.2023.100627
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The Corona Virus Disease 2019 (COVID-19) has affected individuals' health safety during commuting travel around the world. Therefore, a customized bus service was promoted to improve commuting health safety during the COVID-19 pandemic in China. This study intends to investigate the potential similarities and differences in terms of commuters' intention to choose customized buses at the beginning of the COVID-19 pandemic (Phase I) and after adjusting to the COVID-19 pandemic (Phase II). A survey was designed for this purpose and conducted twice during the COVID-19 pandemic. A total of 1,285 responses were collected in two phases in Shanghai, China. Structural equation models (SEM) based on the theory of planned behavior (TPB) were developed to analyze the influential factors of the intention to commute by customized buses. Moreover, a multi-group analysis approach was used to determine the heterogeneity among commuters based on their socioeconomic and travel characteristics. Results show that "attitudes" in Phase I and "perceived behavioral control" in Phase II have significantly positive impacts on the intention to choose customized buses for commuting. In service quality, "comfort and convenience" and "public health safety" in Phase I and "operation and efficiency" and "comfort and convenience" in Phase II have a highly-significant positive impact on commuters' attitudes toward customized buses. Through the multi-group analysis, differences in car ownership and commuting mode after the pandemic in Phase I and gender in Phase II are explored. Model estimation results can be used to assist in formulating policies and prioritizing policies in different phases of the pandemic to develop customized bus services.
引用
收藏
页数:16
相关论文
共 65 条
  • [1] APPLICATION OF THE THEORY OF PLANNED BEHAVIOR TO LEISURE CHOICE
    AJZEN, I
    DRIVER, BL
    [J]. JOURNAL OF LEISURE RESEARCH, 1992, 24 (03) : 207 - 224
  • [2] THE THEORY OF PLANNED BEHAVIOR
    AJZEN, I
    [J]. ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) : 179 - 211
  • [3] The role of critical incidents and involvement in transit satisfaction and loyalty
    Allen, Jaime
    Eboli, Laura
    Forciniti, Carmen
    Mazzulla, Gabriella
    de Dios Ortuzar, Juan
    [J]. TRANSPORT POLICY, 2019, 75 : 57 - 69
  • [4] [Anonymous], 1998, Transportation Quarterly, DOI DOI 10.3141/1666-14
  • [5] Characterizing, measuring, and managing transit service quality
    Barabino, Benedetto
    Di Francesco, Massimo
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2016, 50 (05) : 818 - 840
  • [6] BAUTZ JA, 1975, TRANSPORTATION, V4, P387
  • [7] Insights into the impact of COVID-19 on household travel and activities in Australia - The early days under restrictions
    Beck, Matthew J.
    Hensher, David A.
    [J]. TRANSPORT POLICY, 2020, 96 : 76 - 93
  • [8] Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external influence
    Borhan, Muhamad Nazri
    Ibrahim, Ahmad Nazrul Hakimi
    Miskeen, Manssour A. Abdulasalm
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2019, 130 : 373 - 384
  • [9] Bowen N. K., 2011, STRUCTURAL EQUATION
  • [10] Browne M. W., 1993, Testing structural equation models, P136