Stated preference modelling of intra-household decisions: Can you more easily approximate the preference space?

Beck, MJ; Rose, JM

Stated preference modelling of intra-household decisions: Can you more easily approximate the preference space?

Beck, MJ Rose, JM

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Publication Type:: Journal Article
Citation:: Transportation, 2019, 46 (4), pp. 1195 - 1213
Issue Date:: 2019-08-01

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	Stated Preference Modelling of Intra-Household decisions_Can you more easily approximate the preference space_DOI10.1007,s11116-017-9822-y.pdf	Published Version	688.33 kB	Adobe PDF	View/Open

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Field	Value	Language
dc.contributor.author	Beck, MJ	en_US
dc.contributor.author	Rose, JM	en_US
dc.date.issued	2019-08-01	en_US
dc.identifier.citation	Transportation, 2019, 46 (4), pp. 1195 - 1213	en_US
dc.identifier.issn	0049-4488	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132717
dc.description.abstract	© 2017, Springer Science+Business Media, LLC. While the study of choices focuses primarily on the individual decision maker, there is growing interest in the examination of the choices made by groups. Much of the research into the choices of multiple decision makers has revealed that they differ significantly to those of individuals. In this study of household vehicle choice we similarly compare individual choices to group choices and support this finding. Consequently any research into choices that involve groups should acquire data from those groups. In this paper we show how this may be done via an interactive agency choice experiment which makes the individual preferences endogenous to the choice of the group. This method and many like it, however, involve significant time, incentive and administrative costs that often make such studies prohibitive. In this paper we also compare another class of model, minimum information group inference, which is designed to provide an overview of the likely group choice and while not having the specificity of detail as other methods, has the advantage of being much easier and cheaper to implement and is perhaps the only methodology that can be employed when it is not feasible for respondents to interact. We find that this method is a good approximation of group choice, mapping the preference space over which group choice is likely to be located.	en_US
dc.relation.ispartof	Transportation	en_US
dc.relation.isbasedon	10.1007/s11116-017-9822-y	en_US
dc.subject.classification	Logistics & Transportation	en_US
dc.title	Stated preference modelling of intra-household decisions: Can you more easily approximate the preference space?	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	46	en_US
utslib.for	1699 Other Studies in Human Society	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	1205 Urban and Regional Planning	en_US
utslib.for	1507 Transportation and Freight Services	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Strength - BIDA - Business Intelligence and Data Analytics
utslib.copyright.status	closed_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	46	en_US

Abstract:

© 2017, Springer Science+Business Media, LLC. While the study of choices focuses primarily on the individual decision maker, there is growing interest in the examination of the choices made by groups. Much of the research into the choices of multiple decision makers has revealed that they differ significantly to those of individuals. In this study of household vehicle choice we similarly compare individual choices to group choices and support this finding. Consequently any research into choices that involve groups should acquire data from those groups. In this paper we show how this may be done via an interactive agency choice experiment which makes the individual preferences endogenous to the choice of the group. This method and many like it, however, involve significant time, incentive and administrative costs that often make such studies prohibitive. In this paper we also compare another class of model, minimum information group inference, which is designed to provide an overview of the likely group choice and while not having the specificity of detail as other methods, has the advantage of being much easier and cheaper to implement and is perhaps the only methodology that can be employed when it is not feasible for respondents to interact. We find that this method is a good approximation of group choice, mapping the preference space over which group choice is likely to be located.

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http://hdl.handle.net/10453/132717