A discrete choice framework for modeling and forecasting the adoption and diffusion of new transportation services

F El Zarwi, A Vij, JL Walker - Transportation Research Part C: Emerging …, 2017 - Elsevier
Major technological and infrastructural changes over the next decades, such as the
introduction of autonomous vehicles, implementation of mileage-based fees, carsharing and …

The role of household modality style in first and last mile travel mode choice

Y Lu, CG Prato, N Sipe, A Kimpton… - … Research Part A: Policy …, 2022 - Elsevier
In the context of public transport, the first and last mile (FLM) travel refers to access to or
egress from public transport stations. The poor connection between trip origins and …

Multimodal millennials? The four traveler types of young people in the United States in 2009

KM Ralph - Journal of Planning Education and Research, 2017 - journals.sagepub.com
Are young Americans embracing a mix of travel modes? This article identifies four types of
travelers to answer that question. Drivers travel almost exclusively by automobile; Long …

A high-order hidden Markov model for dynamic decision analysis of multi-homing ride-sourcing drivers

J Yu, D Mo, Z Zhu, XM Chen - Transportation research part C: emerging …, 2023 - Elsevier
Ride-sourcing drivers enjoy flexibility in scheduling work hours and choosing platforms,
which generates multi-homing behavior on multiple platforms. It is challenging to observe …

Modeling anger and aggressive driving behavior in a dynamic choice–latent variable model

M Danaf, M Abou-Zeid, I Kaysi - Accident Analysis & Prevention, 2015 - Elsevier
This paper develops a hybrid choice–latent variable model combined with a Hidden Markov
model in order to analyze the causes of aggressive driving and forecast its manifestations …

[HTML][HTML] Do teleworking and online shopping influence modality styles for work and shopping tours? A latent class cluster analysis

H Shah, AL Carrel - Transportation Research Part A: Policy and Practice, 2024 - Elsevier
The large-scale adoption of Information and Communication Technologies (ICT) such as
teleworking and online shopping affects mobility behavior on many dimensions. While a …

Modelling correlation patterns in mode choice models estimated on multiday travel data

E Cherchi, C Cirillo, J de Dios Ortúzar - Transportation Research Part A …, 2017 - Elsevier
Understanding individual choices over time and measuring day-to-day variability in travel
behaviour is important to capture the full range of travel behaviour. Although not very …

Millennials, built form, and travel insights from a nationwide typology of US neighborhoods

K Ralph, CT Voulgaris, BD Taylor… - Journal of transport …, 2016 - Elsevier
We examine the relationship between the built environment and the travel of Millennials in
the United States. We develop a neighborhood typology to characterize the built …

The analysis of dynamic travel mode choice: a heterogeneous hidden Markov approach

C Xiong, X Chen, X He, W Guo, L Zhang - Transportation, 2015 - Springer
Discrete choices are often analyzed statically. The limitations of static models become more
obvious when employing them in more long-term travel demand forecasting. The research …

A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles

R Krueger, TH Rashidi, A Vij - Journal of choice modelling, 2020 - Elsevier
This paper i) compares parametric and semi-parametric representations of unobserved
heterogeneity in hierarchical Bayesian logit models and ii) applies these methods to infer …