Determinants of residential mobility intentions: a mixed binary logit model

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Abstract

Individuals and households experience several residential moves throughout their lives. These moves are the result of individuals/households’ evaluations of their current house and their impact on daily activity-travel behavior. The intention to move is generally triggered by different variables such as attributes of the house, life cycle events and location of the house vis-a-vis the work place and activity locations. In this paper, we investigate these determinants of the intention to move house. The analysis is based on the 2012 Dutch Housing Survey. This data contains information about households’ willingness to move house within the next two years. We applied mixed binary logit analysis on the intention to move or not. The results give insights into the residential mobility of Dutch citizens and show that socio-demographics, house characteristics and variables related to the work commute influence the intention to move.
Original languageEnglish
Title of host publicationProceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, 13-15 December 2014, Hong Kong, China
Pages1-8
Publication statusPublished - 2014
Event19th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2014) - Hong Kong, China
Duration: 13 Dec 201415 Dec 2014

Conference

Conference19th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2014)
Abbreviated titleHKSTS2014
CountryChina
CityHong Kong
Period13/12/1415/12/14
OtherTransportation and Infrastructure

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  • Cite this

    Dane, G. Z., Grigolon, A. B., Rasouli, S., & Timmermans, H. J. P. (2014). Determinants of residential mobility intentions: a mixed binary logit model. In Proceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, 13-15 December 2014, Hong Kong, China (pp. 1-8)