50 citations · 137 across the 31 of their papers we have counts for
4 papers · 1 filter
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
Yunhan Zheng, Shenhao Wang, Jinhua Zhao
Although researchers increasingly adopt machine learning to model travel behavior, they predominantly focus on prediction accuracy, ignoring the ethical challenges embedded in mach…
Estimating air quality co-benefits of energy transition using machine learning
Da Zhang, Qingyi Wang, Shaojie Song +6
Estimating health benefits of reducing fossil fuel use from improved air quality provides important rationales for carbon emissions abatement. Simulating pollution concentration is…
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark
Shenhao Wang, Baichuan Mo, Yunhan Zheng +2
Numerous studies have compared machine learning (ML) and discrete choice models (DCMs) in predicting travel demand. However, these studies often lack generalizability as they compa…
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…