Long term determinants of activity travel patterns : reasons for moving house in a dynamic housing context

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Abstract

The main goal of this paper is to understand the prevalence and covariates of reasons to move house. A mixed logit model is formulated to estimate the relative importance of these reasons, which were classified into 5 groups: family, health, study/work, previous house and/or its environment and distance to social contacts. The data used for the analysis is the 2012 Dutch Housing Demand Survey (WoON). The sample includes 2,499 respondents who indicated residential relocation within the last two years. The reasons for moving house were investigated as a function of socio-demographic characteristics, housing features and urbanization levels. A mixed-logit model was formulated to estimate the importance of reasons to move. Differences can generally be explained in terms of individuals’ needs, constraints and preferences, which are strongly related to lifecycle phase.
Original languageEnglish
Title of host publicationProceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, 13-15 December 2014
Pages1-7
Number of pages7
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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    Grigolon, A. B., Dane, G. Z., Rasouli, S., & Timmermans, H. J. P. (2014). Long term determinants of activity travel patterns : reasons for moving house in a dynamic housing context. In Proceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, 13-15 December 2014 (pp. 1-7)