Incorporating Travelers' Self-presentation and Environmental Awareness into Heterogeneity Analysis of Travel Mode Choice Behaviors

被引:0
|
作者
Zhou Y.-Y. [1 ,2 ]
Wang P.-Y. [1 ]
Chen Y.-Y. [1 ,2 ]
机构
[1] Beijing Key Laboratory of Traffic Engineering, Ministry of Transport, Beijing University of Technology, Beijing
[2] Key Laboratory of Advanced Public Transportation Sciences, Ministry of Transport, Beijing University of Technology, Beijing
关键词
environmental awareness; latent class model; self-presentation; travel behavior; travel mode choice; urban traffic;
D O I
10.16097/j.cnki.1009-6744.2023.03.004
中图分类号
学科分类号
摘要
The effectiveness of "green travel" guidance is influenced by external information and travelers' choice preferences. The heterogeneity of potential attribute categories of travelers needs to be considered. Self-presentation manifests itself as people influencing others' impressions of themselves by controlling the information that relates to them, which reflects the interaction of information and choice preferences. To quantify the influence of travelers' self-presentation awareness and environmental awareness on mode choice behavior, 1382 valid samples were collected through a questionnaire survey. The latent class model (LCM) is used to classify the travelers into high self-presentation group (18.23%), medium self-presentation group (20.26%) and low self-presentation group (61.51%). The results of the discrete choice model suggest that travelers pay more attention to travel time and the characteristics of the travel mode itself when making mode choices. The effect of travel expense on the high self-presentation group would be overestimated if mode characteristics are not considered. Travelers from the high self- presentation group have a strong preference for public transit only for short-distance trips, and their tendency for private cars is obvious for trips of 6 to 10 kilometers. The preference value of the low self-presentation group for cycling can offset to some extent the negative utility of excessively long travel times in short to medium distance trips. The construction of a mode choice model that considers travelers' heterogeneity can provide a theoretical basis for the government and related departments to formulate more coordinated and targeted regulation policies and public transportation operation strategies. © 2023 Science Press. All rights reserved.
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页码:30 / 38
页数:8
相关论文
共 10 条
  • [1] CHEN M, ZHANG W H., Purchase intention for hydrogen automobile among Chinese citizens: The influence of environmental concern and perceived social value, International Journal of Hydrogen Energy, 46, 34, pp. 18000-18010, (2021)
  • [2] CHENG Y H, CHEN S Y., Perceived accessibility, mobility, and connectivity of public transportation systems, Transportation Research Part A: Policy and Practice, 77, pp. 386-403, (2015)
  • [3] LIU ZW, LIU J R, DENC W., Travelers' choice behavior of autonomous vehicles based on latent class, Journal of Jilin University (Engineering and Technology Edition), 51, 4, pp. 1261-1268, (2021)
  • [4] QIAO K, ZHAO P, WEN J X., Passenger market segmentation of high-speed railway based on latent class model, Journal of Transportation Systems Engineering and Information Technology, 17, 2, pp. 28-34, (2017)
  • [5] GOFFMAN E., The presentation of self in everyday life[M], (2008)
  • [6] CANIELS M C J, LAMBRECHTS W, PLATJE J J, Et al., Impressing my friends: The role of social value in green purchasing attitude for youthful consumers, Journal of Cleaner Production, 303, (2021)
  • [7] BAO H X H, NG J., Tradable parking permits as a transportation demand management strategy: A behavioural investigation, Cities, 120, (2022)
  • [8] LIU J R, HAO X N., Incorporating the heterogeneity into travelers' green traveling choice model, Journal of South China University of Technology (Natural Science), 47, 7, pp. 99-104, (2019)
  • [9] ZHANG Y Y, LI J L, LUO X, Et al., Commuting mode choice behavior incorporating decision-making process and latent heterogeneity, Journal of Transportation Systems Engineering and Information Technology, 21, 3, pp. 221-228, (2021)
  • [10] ZHOU Y, ZHAO M, LAM W H K, Et al., Modeling the impact of dock-less bike-sharing system on outpatient trips, Sustainable Cities and Society, 69, (2021)