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.
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