A nested recursive logit model for route choice analysis

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

We propose a route choice model that relaxes the independence from irrelevant alternatives property of the logit model by allowing scale parameters to be link specific. Similar to the recursive logit (RL) model proposed by Fosgerau et al. (2013), the choice of path is modeled as a sequence of link choices and the model does not require any sampling of choice sets. Furthermore, the model can be consistently estimated and efficiently used for prediction.A key challenge lies in the computation of the value functions, i.e. the expected maximum utility from any position in the network to a destination. The value functions are the solution to a system of non-linear equations. We propose an iterative method with dynamic accuracy that allows to efficiently solve these systems.We report estimation results and a cross-validation study for a real network. The results show that the NRL model yields sensible parameter estimates and the fit is significantly better than the RL model. Moreover, the NRL model outperforms the RL model in terms of prediction.

OriginalsprogEngelsk
TidsskriftTransportation Research Part B: Methodological
Vol/bind75
Sider (fra-til)100-112
Antal sider13
ISSN0191-2615
DOI
StatusUdgivet - 1 maj 2015

ID: 181871417