Bias and sources of error in discrete choice models: a critical reflection

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

6 Downloads (Pure)

Abstract

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.
Original languageEnglish
Title of host publicationDesign & Decision Support Systems in Architecture and Urban Planning - Proceedings 2016
Place of PublicationEindhoven
PublisherTechnische Universiteit Eindhoven
Pages1-28
Number of pages28
ISBN (Electronic)978-90-386-4144-7
Publication statusPublished - 2016
Event13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016 - PSV Stadion, Eindhoven, Netherlands
Duration: 27 Jun 201628 Jun 2016
Conference number: 13
http://2016.ddss.nl/index.menu/intro
http://2016.ddss.nl/

Conference

Conference13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016
Abbreviated titleDDSS 2016
CountryNetherlands
CityEindhoven
Period27/06/1628/06/16
Internet address

Fingerprint

Discrete choice models
Critical reflection
Uncertainty
Demand model
Research directions
Measurement error

Cite this

Jang, S., Rasouli, S., & Timmermans, H. J. P. (2016). Bias and sources of error in discrete choice models: a critical reflection. In Design & Decision Support Systems in Architecture and Urban Planning - Proceedings 2016 (pp. 1-28). Eindhoven: Technische Universiteit Eindhoven.
Jang, S. ; Rasouli, S. ; Timmermans, H.J.P. / Bias and sources of error in discrete choice models: a critical reflection. Design & Decision Support Systems in Architecture and Urban Planning - Proceedings 2016. Eindhoven : Technische Universiteit Eindhoven, 2016. pp. 1-28
@inproceedings{95472b56e81f4350abac6a126d036090,
title = "Bias and sources of error in discrete choice models: a critical reflection",
abstract = "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.",
author = "S. Jang and S. Rasouli and H.J.P. Timmermans",
year = "2016",
language = "English",
pages = "1--28",
booktitle = "Design & Decision Support Systems in Architecture and Urban Planning - Proceedings 2016",
publisher = "Technische Universiteit Eindhoven",

}

Jang, S, Rasouli, S & Timmermans, HJP 2016, Bias and sources of error in discrete choice models: a critical reflection. in Design & Decision Support Systems in Architecture and Urban Planning - Proceedings 2016. Technische Universiteit Eindhoven, Eindhoven, pp. 1-28, 13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016, Eindhoven, Netherlands, 27/06/16.

Bias and sources of error in discrete choice models: a critical reflection. / Jang, S.; Rasouli, S.; Timmermans, H.J.P.

Design & Decision Support Systems in Architecture and Urban Planning - Proceedings 2016. Eindhoven : Technische Universiteit Eindhoven, 2016. p. 1-28.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

TY - GEN

T1 - Bias and sources of error in discrete choice models: a critical reflection

AU - Jang, S.

AU - Rasouli, S.

AU - Timmermans, H.J.P.

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.

M3 - Conference contribution

SP - 1

EP - 28

BT - Design & Decision Support Systems in Architecture and Urban Planning - Proceedings 2016

PB - Technische Universiteit Eindhoven

CY - Eindhoven

ER -

Jang S, Rasouli S, Timmermans HJP. Bias and sources of error in discrete choice models: a critical reflection. In Design & Decision Support Systems in Architecture and Urban Planning - Proceedings 2016. Eindhoven: Technische Universiteit Eindhoven. 2016. p. 1-28