2 citations · 4 across the 5 of their papers we have counts for
3 papers · 1 filter
A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the User Cost of Rail Crowding
Prateek Bansal, Daniel Hörcher, Daniel J. Graham
Crowding valuation of subway riders is an important input to various supply-side decisions of transit operators. The crowding cost perceived by a transit rider is generally estimat…
A Causal Inference Approach to Measure the Vulnerability of Urban Metro Systems
Nan Zhang, Daniel J. Graham, Daniel Hörcher +1
Transit operators need vulnerability measures to understand the level of service degradation under disruptions. This paper contributes to the literature with a novel causal inferen…
Fast Bayesian Estimation of Spatial Count Data Models
Prateek Bansal, Rico Krueger, Daniel J. Graham
Spatial count data models are used to explain and predict the frequency of phenomena such as traffic accidents in geographically distinct entities such as census tracts or road seg…