140 citations · 353 across the 8 of their papers we have counts for
8 papers
Share, Collaborate, Benchmark: Advancing Travel Demand Research through rigorous open-source collaboration
Juan D. Caicedo, Carlos Guirado, Marta C. González +1
This research foregrounds general practices in travel demand research, emphasizing the need to change our ways. A critical barrier preventing travel demand literature from effectiv…
Socially-Aware Evaluation Framework for Transportation
Anu Kuncheria, Joan L. Walker, Jane Macfarlane
Technological advancements are rapidly changing traffic management in cities. Massive adoption of mobile devices and cloud-based applications have created new mechanisms for urban…
Choice modelling in the age of machine learning -- discussion paper
S. Van Cranenburgh, S. Wang, A. Vij +2
Since its inception, the choice modelling field has been dominated by theory-driven modelling approaches. Machine learning offers an alternative data-driven approach for modelling…
Machine Learning Meets Microeconomics: The Case of Decision Trees and Discrete Choice
Timothy Brathwaite, Akshay Vij, Joan L. Walker
We provide a microeconomic framework for decision trees: a popular machine learning method. Specifically, we show how decision trees represent a non-compensatory decision protocol…
Modeling and Forecasting the Evolution of Preferences over Time: A Hidden Markov Model of Travel Behavior
Feras El Zarwi, Akshay Vij, Joan Walker
Literature suggests that preferences, as denoted by taste parameters and consideration sets, may evolve over time in response to changes in demographic and situational variables, p…
A Discrete Choice Framework for Modeling and Forecasting The Adoption and Diffusion of New Transportation Services
Feras El Zarwi, Akshay Vij, Joan Walker
Current travel demand models are unable to predict long-range trends in travel behavior as they do not entail a mechanism that projects membership and market share of new modes of…