TY - GEN
T1 - Bias and sources of error in discrete choice models
T2 - 13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016
AU - Jang, Sunghoon
AU - Rasouli, Soora
AU - Timmermans, Harry
N1 - Publisher Copyright:
© Copyright 2016 DDSS.
PY - 2016
Y1 - 2016
N2 - Discrete choice models have attracted a lot of attention since decades as an alternative to traditional aggregate transport demand models. Since discrete choice models assume that the total utility of an alternative is not exactly known to analysists, researchers have commonly assumed that the utility consists of two components: deterministic utility and error term. The error term is assumed to be composed of different sources. This paper reviews studies on the effect of the different sources of uncertainty (Manski, 1973) such as measurement error, omitted relevant variables, and taste variation in discrete choice models. All this research is based on different assumptions about the source of uncertainty. In this study, we will compare the assumptions and discuss future research directions. In addition, we will discuss the possible effects of the different sources of uncertainty in a new type of discrete choice model: the random regret model.
AB - Discrete choice models have attracted a lot of attention since decades as an alternative to traditional aggregate transport demand models. Since discrete choice models assume that the total utility of an alternative is not exactly known to analysists, researchers have commonly assumed that the utility consists of two components: deterministic utility and error term. The error term is assumed to be composed of different sources. This paper reviews studies on the effect of the different sources of uncertainty (Manski, 1973) such as measurement error, omitted relevant variables, and taste variation in discrete choice models. All this research is based on different assumptions about the source of uncertainty. In this study, we will compare the assumptions and discuss future research directions. In addition, we will discuss the possible effects of the different sources of uncertainty in a new type of discrete choice model: the random regret model.
KW - Random regret minimization
KW - Random utility maximization
KW - Sources of error
UR - http://www.scopus.com/inward/record.url?scp=85051013625&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85051013625
T3 - Design and Decision Support Systems in Architecture and Urban Planning - 13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016
BT - Design and Decision Support Systems in Architecture and Urban Planning - 13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016
A2 - Timmermans, Harry
PB - Technische Universiteit Eindhoven
Y2 - 27 June 2016 through 28 June 2016
ER -