@article{ref1,
title="Travel mode choice modeling from cross-sectional survey and panel data: the inclusion of initial nonresponse",
journal="Transportation research procedia",
year="2018",
author="de Haas, M. C. and Hoogendoorn, R. G. and Scheepers, C. E. and Hoogendoorn-Lanser, S.",
volume="32",
number="",
pages="268-278",
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.<p /> <p>Language: en</p>",
language="en",
issn="2352-1465",
doi="10.1016/j.trpro.2018.10.049",
url="http://dx.doi.org/10.1016/j.trpro.2018.10.049"
}