考虑自我呈现与环保意识的出行方式选择行为异质性分析

doi:10.16097/j.cnki.1009-6744.2023.03.004

交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (3): 30-38.DOI: 10.16097/j.cnki.1009-6744.2023.03.004

• 交通运输业高质量发展策略 • 上一篇下一篇

考虑自我呈现与环保意识的出行方式选择行为异质性分析

周雨阳^*a,b，王沛钰^a，陈艳艳^a,b

北京工业大学,a.交通工程北京市重点实验室；b.交通运输部城市公共交通智能化行业重点实验室，北京100124

收稿日期:2023-01-14 修回日期:2023-03-18 接受日期:2023-03-28 出版日期:2023-06-25 发布日期:2023-06-22
作者简介:周雨阳(1984-)，女，黑龙江人，副教授，博士
基金资助:
国家重点研发计划 (2018YFB1600900);北京市自然科学基金-交控科技轨道交通联合基金 (L181002)

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

ZHOU Yu-yang^*a,b, WANG Pei-yu^a, CHEN Yan-yan^a,b

a. Beijing Key Laboratory of Traffic Engineering; b. Key Laboratory of Advanced Public Transportation Sciences, Ministry of Transport, Beijing University of Technology, Beijing 100124, China

Received:2023-01-14 Revised:2023-03-18 Accepted:2023-03-28 Online:2023-06-25 Published:2023-06-22
Supported by:
National Key Research and Development Program of China (2018YFB1600900);Natural Science Foundation of Beijing, China (L181002)

摘要/Abstract

摘要： 绿色出行引导效果受外部信息及出行者选择偏好影响，需要考虑出行者潜在属性类别的异质性。自我呈现表现为人们通过控制与自己有关的信息来影响他人对自己的印象，体现了信息与选择偏好的交互作用。为定量分析出行者自我呈现意识和环保意识对出行方式选择行为的影响，本文通过问卷调查收集到1382份有效样本，利用潜在类别模型(Latent Class Model,.LCM)将出行者划分为高自我呈现组(18.23%)、中自我呈现组(20.26%)和低自我呈现组(61.51%)。离散选择模型的结果表明，出行者在进行方式选择时更关注出行时间和出行方式自身的特性，若不考虑方式特性，会高估出行费用对高自我呈现组的影响。高自我呈现组仅在短距离出行中对公共交通有强烈偏好，对于6~10k的出行，选择私家车倾向明显。中短距离的出行中，低自我呈现组对骑行的偏好价值可以在一定程度上抵消过长出行时间带来的负效用。构建考虑出行者异质性的方式选择模型，可为政府和相关部门制定更协调、有针对性的交通调控政策及公共交通运营策略提供理论依据。

关键词: 城市交通, 出行方式选择, 潜在类别模型, 自我呈现, 环保意识, 出行行为

Abstract: 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' selfpresentation 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 selfpresentation 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.

Key words: urban traffic, travel mode choice, latent class model, self- presentation, environmental awareness, travel behavior

中图分类号:

U121

周雨阳, 王沛钰, 陈艳艳. 考虑自我呈现与环保意识的出行方式选择行为异质性分析[J]. 交通运输系统工程与信息, 2023, 23(3): 30-38.

ZHOU Yu-yang, WANG Pei-yu, CHEN Yan-yan. Incorporating Travelers' Self-presentation and Environmental Awareness into Heterogeneity Analysis of Travel Mode Choice Behaviors[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(3): 30-38.

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参考文献

[1] CHEN M.ZHANG W H.Purchase intention for hydrogen automobile among Chinese citizens:The influence of environmental concern and perceived social value[J].International Journal of Hydrogen Energy,2021,46(34):18000-18010. [2] CHENG Y H.CHEN S Y.Perceived accessibility,mobility,and connectivity of public transportation systems[J].Transportation Research Part A:Policy and Practice,2015,77:386-403.

[3] 刘志伟，刘建荣，邓卫.基于潜在类别的无人驾驶汽车选择行为[J].吉林大学学报（工学版），2021,51(4)：1261-1268.[LIU Z W,LIU J R,DENG W. Traveler’s choice behavior of autonomous vehicles based on latent class[J].Journal of Jilin University (Engineering and Technology Edition),2021,51(4):1261-1268.]

[4] 乔珂，赵鹏，文佳星.基于潜在类别模型的高铁旅客市场细分[J].交通运输系统工程与信息，2017,17(2)：28-34.[QIAO K,ZHAO P,WEN J X.Passenger market segmentation of high-speed railway based on latent class model[J].Journal of Transportation Systems Engineering and Information Technology,2017,17(2):28-34.]

[5] [美]欧文·戈夫曼.日常生活中的自我呈现[M].冯钢译. 北京：北京大学出版社，2008.[G0 FFMAN E.Thepresentation of self in everyday life[M].(FENG G). Beijing:Peking University Press,2008.]

[6]CANIELS M C J, LAMBRECHTS W, PLATJE JJ, et al. Impressing my friends: The role of social value in greenpurchasing attitude for youthful consumers[J].Journal of Cleaner Production,2021,303:126993.

[7]BAO H X H,NG J.Tradable parking permits as transportation demand management strategy: A behavioural investigation[J].Cities,2022,120:103463.

[8]刘建荣，郝小妮.考虑出行者异质性的绿色出行行为研究[J].华南理工大学学报（自然科学版），2019,47(7)：99-104,120.[LIU J R,HAO X N.Incorporating the heterogeneity into travelers' green traveling choice model[J]. Journal of South China University of Technology Natural Science),2019,47(7):99-104,120.]

[9]张奕源，李进龙，罗霞，等.考虑决策过程与潜在异质性的居民通勤选择行为研究[J].交通运输系统工程与信息，2021,21(3)：221-228,236.[ZHANG Y Y, LI J L, LUO X, et al. Commuting mode choice behavior incorporating decision-making process and latent heterogeneity[J].Journal of Transportation Systems Engineering and Information Technology,2021,21(3):221-228,236.]

[10] ZHOU Y, ZHAO M, LAM W H K, et al. Modeling the impact of dock-less bike-sharing system on outpatient trips[J]. Sustainable Cities and Society,2021,69:102853.

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考虑自我呈现与环保意识的出行方式选择行为异质性分析

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

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