Path Size Logit route choice models: Issues with current models, a new internally consistent approach, and parameter estimation on a large-scale network with GPS …

LC Duncan, DP Watling, RD Connors… - … Research Part B …, 2020 - Elsevier
Abstract Path Size Logit route choice models attempt to capture the correlation between
routes by including correction terms within the route utility functions. This provides a …

Route choice sets for very high-resolution data

N Rieser-Schüssler, M Balmer… - … A: Transport Science, 2013 - Taylor & Francis
With the increasing use of GPS in transport surveys, analysts can not only choose from
numerous new ways to model travel behaviour but also face several new challenges. For …

How do street attributes affect willingness-to-walk? City-wide pedestrian route choice analysis using big data from Boston and San Francisco

R Basu, A Sevtsuk - Transportation research part A: policy and practice, 2022 - Elsevier
This study adds to the nascent but growing literature on the use of big data for pedestrian
route choice analysis. We explore behavioral preferences for various route attributes in …

A nested recursive logit model for route choice analysis

T Mai, M Fosgerau, E Frejinger - Transportation Research Part B …, 2015 - Elsevier
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 …

Modeling constrained destination choice for shopping: a GIS-based, time-geographic approach

DM Scott, SY He - Journal of Transport Geography, 2012 - Elsevier
For accurate prediction, a shopping destination choice model must rely on a realistic
representation of available opportunities. Thus, spatio-temporal constraints are …

Exploring the route choice decision-making process: A comparison of planned and observed routes obtained using person-based GPS

D Papinski, DM Scott, ST Doherty - … research part F: traffic psychology and …, 2009 - Elsevier
Trip decisions are complex and involve choosing the activity destination, mode and
subsequently the route for travel. This paper presents detailed information on the planned …

Understanding individual routing behaviour

A Lima, R Stanojevic… - Journal of The …, 2016 - royalsocietypublishing.org
Knowing how individuals move between places is fundamental to advance our
understanding of human mobility (González et al. 2008 Nature 453, 779–782.(doi …

Cognitive cost in route choice with real-time information: An exploratory analysis

S Gao, E Frejinger, M Ben-Akiva - Procedia-Social and Behavioral …, 2011 - Elsevier
Real-time traffic information is increasingly available to support route choice decisions by
reducing the travel time uncertainty. However it is likely that a traveler cannot assess all …

Machine learning travel mode choices: Comparing the performance of an extreme gradient boosting model with a multinomial logit model

F Wang, CL Ross - Transportation Research Record, 2018 - journals.sagepub.com
The multinomial logit (MNL) model and its variations have been dominating the travel mode
choice modeling field for decades. Advantages of the MNL model include its elegant closed …

A rank-dependent expected utility model for strategic route choice with stated preference data

M Razo, S Gao - Transportation Research Part C: Emerging …, 2013 - Elsevier
Route choice behavior under real-time traffic information needs to be adequately modeled
for the proper analysis of a transportation system in the presence of Advanced Traveler …