Citation

de Haas MC, Hoogendoorn RG, Scheepers CE, Hoogendoorn-Lanser S. Transp. Res. Proc. 2018; 32: 268-278.

Copyright

(Copyright © 2018, Elsevier Publications)

DOI

10.1016/j.trpro.2018.10.049

PMID

unavailable

Abstract

To develop models of transport mode choice, mobility cross-sectional survey or panel data can be used. However, the extent to which data from these sources yield accurate parameter values and probabilities is influenced by nonresponse possibly leading to a nonresponse bias. The main research objective of the current study is to assess whether the inclusion of initial nonresponse in a nested logit mode choice model leads to changes in parameter values and more adequate estimated probabilities. The results show that not taking account of nonresponse may lead to a negligibly small overestimation of the choice for car as passenger and bicycle along with an underestimation of the choice for car as driver and e-bike of the same magnitude. Based on the models in this paper, it is not possible to conclude that including the willingness to participate in a mode choice model leads to substantial improvements, but more research is needed to fully assess the value of including willingness.

Language: en

Keywords

hybrid choice model; MPN; nested logit model; Netherlands Mobility Panel; nonresponse bias; transport mode choice