Quantifying the explanatory power of mobility-related attributes in explaining vehicle ownership decisions

Paola Astegiano, Deniz Akinc, Willem Himpe, Chris M.J. Tampère and Martina Vandebroek

Research in Transportation Economics, 2017, vol. 66, issue C, 2-11

Abstract: This paper shows the explanatory power of mobility-related attributes in explaining vehicle ownership decisions. In contrast with the state of the art, in which socio-demographic information is usually employed to explain vehicle ownership decisions, we highlight how the quality of travel offered by a given mode of transportation in serving one's activity pattern influences the ownership of a mode of transport. To implement this approach, we employ a two-level model: first, we estimate the mode choice for performing a set of activities, and second, we use the results of the mode choice calibration to estimate an ownership model. We also show the need to estimate this two-step model, originally modelled as a two-step multinomial logit, with more complex logit structures. With the aim to consider all possible correlations included in each step, a Mixed Logit model and a Cross-nested logit model are employed. Finally, the influence of the socio-demographic information on the quality of travel offered by a given transport mode in performing a particular activity is discussed.

Keywords: Mobility-related attributes; Vehicle ownership; Mode choice; Logit; Mixed logit; Cross-nested logit; Accessibility; Mobility resources; Travel needs; Discrete choice analysis; Activity pattern (search for similar items in EconPapers)
JEL-codes: C49 R49 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:retrec:v:66:y:2017:i:c:p:2-11

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DOI: 10.1016/j.retrec.2017.07.007

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