activity
20162023
most citedChoice modelling in the age of machine learning -- discussion paper

140 citations · 353 across the 8 of their papers we have counts for

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5 papers · 1 filter

stat.AP2017★ 15 cited

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…

stat.AP2017★ 8 cited

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…

stat.AP2017★ 107 cited

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…

stat.AP2017★ 32 cited

Causal Inference in Travel Demand Modeling (and the lack thereof)

Timothy Brathwaite, Joan Walker

This paper is about the general disconnect that we see, both in practice and in literature, between the disciplines of travel demand modeling and causal inference. In this paper, w…

stat.AP2016★ 42 cited

Asymmetric, Closed-Form, Finite-Parameter Models of Multinomial Choice

Timothy Brathwaite, Joan L. Walker

In transportation, the number of observations associated with one discrete outcome is often greatly different from the number of observations associated with another discrete outco…