Indifference bands for boundedly rational route switching

被引:33
作者
Di, Xuan [1 ,2 ]
Liu, Henry X. [1 ,2 ]
Zhu, Shanjiang [3 ]
Levinson, David M. [4 ]
机构
[1] Univ Michigan, Dept Civil & Environm Engn, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Transportat Res Inst, Ann Arbor, MI 48109 USA
[3] George Mason Univ, Dept Civil Environm & Infrastruct Engn, Fairfax, VA 22030 USA
[4] Univ Minnesota, Dept Civil Environm & Geoengn, Minneapolis, MN USA
关键词
Bounded rationality; Indifference band; Empirical estimation; GPS study; Route choice; CHOICE SET GENERATION; REAL-TIME INFORMATION; INCORPORATING THRESHOLDS; COMPENSATORY MODEL; MULTINOMIAL LOGIT; USER EQUILIBRIA; DYNAMICS; BEHAVIOR; PERCEPTION; FRAMEWORK;
D O I
10.1007/s11116-016-9699-1
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The replacement I-35W bridge in Minneapolis saw less traffic than the original bridge though it provided substantial travel time saving for many travelers. This observation cannot be explained by the classical route choice assumption that travelers always take the shortest path. Accordingly, a boundedly rational route switching model is proposed assuming that travelers will not switch to the new bridge unless travel time saving goes beyond a threshold or "indifference band". Indifference bands are assumed to follow lognormal distribution and are estimated in two specifications: the first one assumes every driver's indifference band is drawn from a population indifference band and the second one assumes that the mean of drivers' indifference bands is a function of their own characteristics. Route choices of 78 subjects from a GPS travel behavior study were analyzed before and after the addition of the new I-35W bridge to estimate parameters. This study provides insights into empirical analysis of bounded rationality and sheds light on indifference band estimation using empirical data.
引用
收藏
页码:1169 / 1194
页数:26
相关论文
共 55 条
[1]   Evaluation of choice set generation algorithms for route choice models [J].
Bekhor, Shlomo ;
Ben-Akiva, Moshe E. ;
Ramming, M. Scott .
ANNALS OF OPERATIONS RESEARCH, 2006, 144 (01) :235-247
[2]  
Ben A., 1995, INT J RES MARK, V12, P9, DOI DOI 10.1016/0167-8116(95)00002-J
[3]  
Ben-Akiva M., 1998, Lecture notes: Discrete choice models of traveler behavior in networks, P25
[4]  
Ben-Akiva M., 1996, MULTINOMIAL PROBIT L
[5]   Modeling discrete choices in the presence of inertia and serial correlation [J].
Cantillo, Victor ;
Ortuzar, Juan de Dios ;
Williams, Huw C. W. L. .
TRANSPORTATION SCIENCE, 2007, 41 (02) :195-205
[6]   A discrete choice model incorporating thresholds for perception in attribute values [J].
Cantillo, Victor ;
Heydecker, Benjamin ;
Ortuzar, Juan de Dios .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2006, 40 (09) :807-825
[7]  
Carrion C., 2012, TRANSP RES BOARD ANN
[8]  
Cascetta E, 1996, TRANSPORTATION AND TRAFFIC THEORY, P697
[10]  
Clark A.J., 1933, MODE ACTION DRUGS CE