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作者:

Wang, Kai (Wang, Kai.) | Guan, Hongzhi (Guan, Hongzhi.) (学者:关宏志) | Han, Yan (Han, Yan.) | Xia, Xiaojing (Xia, Xiaojing.)

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EI Scopus

摘要:

This paper demonstrates the existence and variety levels of loss aversion in travel behavior using a stated-preference survey and psychology experiment (sample size 76). Loss aversion is one of the key points that differentiate prospect utility from expected utility. Using a psychology experiment based on elicitation methods, this paper identifies loss aversion parameter in route choice behavior of each traveler. The results indicate that 60% percent of respondents show loss aversion with a median value of 1.27. So loss aversion can be found in traveler’s route choice behavior and heterogeneity is significant. The statistic result shows that the risk preference of commuters in loss domain is different from that in gain domain, as well the attributes of traveler contributing to risk preference are quite different. Linear discriminant analysis indicates that in gain domain travelers are more likely to be risk aversion and personal socioeconomic characteristics contributing this. On the other hand, in the loss domain travelers are more likely to be risk seeking and traffic conditions relate to this. By looking into proportions of travelers choosing Route A and B, risk preference reversal under different loss aversion levels is found. © 2016, UK Simulation Society. All Rights Reserved.

关键词:

Behavioral research Discriminant analysis Risk assessment Transportation

作者机构:

  • [ 1 ] [Wang, Kai]Beijing Key Laboratory of Traffic Engineering, Beijing, China
  • [ 2 ] [Wang, Kai]Beijing University of Technology, Beijing, China
  • [ 3 ] [Guan, Hongzhi]Beijing Key Laboratory of Traffic Engineering, Beijing, China
  • [ 4 ] [Guan, Hongzhi]Beijing University of Technology, Beijing, China
  • [ 5 ] [Han, Yan]Beijing Key Laboratory of Traffic Engineering, Beijing, China
  • [ 6 ] [Han, Yan]Beijing University of Technology, Beijing, China
  • [ 7 ] [Xia, Xiaojing]Beijing E-Hualu Information Technology Co., Ltd, Beijing, China

通讯作者信息:

  • [wang, kai]beijing university of technology, beijing, china;;[wang, kai]beijing key laboratory of traffic engineering, beijing, china

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来源 :

International Journal of Simulation: Systems, Science and Technology

ISSN: 1473-8031

年份: 2016

期: 24

卷: 17

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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