Theory-driven or data-driven? Modelling ride-sourcing mode choices using integrated choice and latent variable model and multi-task learning deep neural networks

Travel Behavior before and during the COVID-19 Pandemic in Brazil: Mobility Changes and Transport Policies for a Sustainable Transportation System in the Post-Pandemic Period

(2022) Carolina Silva Costa et al.   Sustainability

How have ride-sourcing users adapted to the first wave of the COVID-19 pandemic? evidence from a survey-based study of the Greater Toronto Area

(2021) Patrick Loa et al.   Transportation Letters-The International Journal of Transportation Research

Perceived risk of using shared mobility services during the COVID-19 pandemic

(2021) Ehsan Rahimi et al.   TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR

How has the COVID-19 pandemic affected the use of ride-sourcing services? An empirical evidence-based investigation for the Greater Toronto Area

(2021) Patrick Loa et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Choice modelling in the age of machine learning - Discussion paper

(2021) Sander van Cranenburgh et al.   Journal of Choice Modelling

A Customized Deep Neural Network Approach to Investigate Travel Mode Choice with Interpretable Utility Information

(2020) Zhengchao Zhang et al.   JOURNAL OF ADVANCED TRANSPORTATION

Deep neural networks for choice analysis: Extracting complete economic information for interpretation

(2020) Shenhao Wang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Do transportation network companies decrease or increase congestion?

(2019) Gregory D. Erhardt et al.   Science Advances

Ride-hailing, travel behaviour and sustainable mobility: an international review

(2019) Alejandro Tirachini   TRANSPORTATION

Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling

(2018) Dongwoo Lee et al.   TRANSPORTATION RESEARCH RECORD

An overview of multi-task learning

(2017) Yu Zhang et al.   National Science Review

How, when and why integrated choice and latent variable models are latently useful

(2016) Akshay Vij et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Investigating the subjective and objective factors influencing teenagers’ school travel mode choice – An integrated choice and latent variable model

(2015) Maria Kamargianni et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE