User Equilibrium Analysis Considering Travelers' Context-Dependent Route Choice Behavior on the Risky Traffic Network

被引:6
|
作者
Xu, Qinghui [1 ]
Ji, Xiangfeng [1 ]
机构
[1] Qingdao Univ, Sch Business, Dept Management Sci & Engn, Qingdao 266071, Peoples R China
基金
中国博士后科学基金;
关键词
context-dependent route choice behavior; flow-dependent salience theory; salient travel utility; salient user equilibrium; risk attitude; PROSPECT-THEORY; SALIENCE THEORY; TIME BUDGET; MODEL; DESIGN; DECISION; REGRET; 2ND;
D O I
10.3390/su12176706
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper studies travelers' context-dependent route choice behavior in a risky trafficnetwork from a long-term perspective, focusing on the effect of travelers' salience characteristics. In particular, a flow-dependent salience theory is proposed for this analysis, where the flow denotes the traffic flow on the risky route. In the proposed model, travelers' attention is drawn to the salient travel utility, and the objective probabilities of the state of the world are replaced by the decision weights distorted in favor of this salient travel utility. A long-run user equilibrium will be achieved when no traveler can improve his or her salient travel utility by unilaterally changing routes, termed salient user equilibrium, which extends the scope of the Wardropian user equilibrium. Furthermore, we prove the existence and uniqueness of this salient user equilibrium. Finally, numerical studies demonstrate our theoretical findings. The equilibrium results show non-intuitive insights into travelers' route choice behavior. (1) Travelers can be risk-seeking (the travel utility of a risky route is small with a relatively high probability), risk-neutral (in special situations), or risk-averse (the travel utility of a risky route is large with a relatively high probability), which depends on the salient state. (2) The extent of travelers' risk-seeking or risk-averse behavior depends on their extent of salience bias, while the risk-neutral behavior is irrelative to this salience bias.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] The choice of park and ride facilities: an analysis using a context-dependent hierarchical choice experiment
    Bos, IDM
    Van der Heijden, RECM
    Molin, EJE
    Timmermans, HJP
    ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE, 2004, 36 (09): : 1673 - 1686
  • [22] Dynamic Route Choice Behavior Analysis Considering En Route Learning and Choices
    Li, Dawei
    Miwa, Tomio
    Morikawa, Takayuki
    TRANSPORTATION RESEARCH RECORD, 2013, (2383) : 1 - 9
  • [23] Analysis of the traffic running cost under random route choice behavior in a network with two routes
    Tang, Tie-Qiao
    Yu, Qiang
    Liu, Kai
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 449 : 408 - 415
  • [24] Context-dependent adaptive behavior generated in the theta phase coding network
    Wagatsuma, Hiroaki
    Yamaguchi, Yoko
    NEURAL INFORMATION PROCESSING, PART II, 2008, 4985 : 177 - 184
  • [25] Stochastic user equilibrium with reference-dependent route choice and endogenous reference points
    Delle Site, Paolo
    Filippi, Francesco
    PROCEEDINGS OF EWGT 2012 - 15TH MEETING OF THE EURO WORKING GROUP ON TRANSPORTATION, 2012, 54 : 547 - 556
  • [26] Route choice model in stochastic network and its application in traffic assignment with consideration to travelers' decision inertia
    Xu H.
    Liu Y.
    Xu W.
    Song X.
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2021, 41 (04): : 1010 - 1017
  • [27] Traffic equilibrium in a network model of parking and route choice, with search circuits and cruising flows
    Leurent, Fabien
    Boujnah, Houda
    PROCEEDINGS OF EWGT 2012 - 15TH MEETING OF THE EURO WORKING GROUP ON TRANSPORTATION, 2012, 54 : 808 - 821
  • [28] Equilibrium analysis through separation of user and network behavior
    Tay, Y. C.
    Tran, Dinh Nguyen
    Liu, Eric Yi
    Ooi, Wei Tsang
    Morris, Robert
    COMPUTER NETWORKS, 2008, 52 (18) : 3405 - 3420
  • [29] Application of cross-nested logit route choice model in stochastic user equilibrium traffic assignment
    Bekhor, Shlomo
    Reznikova, Lena
    Toledo, Tomer
    TRANSPORTATION RESEARCH RECORD, 2007, (2003) : 41 - 49
  • [30] Day-to-day traffic dynamics considering social interaction: From individual route choice behavior to a network flow model
    Wei, Fangfang
    Jia, Ning
    Ma, Shoufeng
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2016, 94 : 335 - 354