TY - JOUR
T1 - Weibit choice models
T2 - Properties, mode choice application and graphical illustrations
AU - Gu, Yu
AU - Chen, Anthony
AU - Kitthamkesorn, Songyot
N1 - Funding Information:
The work described in this paper was jointly supported by the National Natural Science Foundation of China ( 72071174 ) at the Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, Guangdong, China , the Research Grants Council of the Hong Kong Special Administrative Region ( PolyU 15212217 and PolyU 15222221 ), and the Research Institute for Sustainable Urban Development at the Hong Kong Polytechnic University ( 1-BBWF ). Their support is gratefully acknowledged.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/9
Y1 - 2022/9
N2 - This study presents the properties of the weibit travel choice model (which was newly developed in 2008) and its applications in transportation research. The weibit model uses a Weibull-distributed random error term, relaxing the identically distributed assumption to derive the closed-form choice probability expression. The properties and advantages of the weibit model are graphically illustrated by comparisons with the commonly used logit model. The relationship between the weibit and logit models are discussed in the transportation context. The applications of weibit models to transportation research are exemplified based on the mode choice modeling in various transportation networks incorporating emerging technologies. The study reveals that weibit models have attractive features for evaluating and planning future transportation systems.
AB - This study presents the properties of the weibit travel choice model (which was newly developed in 2008) and its applications in transportation research. The weibit model uses a Weibull-distributed random error term, relaxing the identically distributed assumption to derive the closed-form choice probability expression. The properties and advantages of the weibit model are graphically illustrated by comparisons with the commonly used logit model. The relationship between the weibit and logit models are discussed in the transportation context. The applications of weibit models to transportation research are exemplified based on the mode choice modeling in various transportation networks incorporating emerging technologies. The study reveals that weibit models have attractive features for evaluating and planning future transportation systems.
KW - Mode choice
KW - Stochastic user equilibrium
KW - Weibit choice model
KW - Weibull distribution
UR - http://www.scopus.com/inward/record.url?scp=85135943045&partnerID=8YFLogxK
U2 - 10.1016/j.jocm.2022.100373
DO - 10.1016/j.jocm.2022.100373
M3 - Review article
AN - SCOPUS:85135943045
SN - 1755-5345
VL - 44
JO - Journal of Choice Modelling
JF - Journal of Choice Modelling
M1 - 100373
ER -