2 citations · 2 across the 2 of their papers we have counts for
3 papers
Causal resilience curves: A data-driven framework for quantifying the spatiotemporal impacts of metro service disruptions
Nan Zhang, Daniel Hörcher, Prateek Bansal +1
Urban metro systems move vast numbers of passengers with a high level of efficiency in resource use, but frequently experience disruptions that result in delays, crowding, and dete…
Revisiting the empirical fundamental relationship of traffic flow for highways using a causal econometric approach
Anupriya, Daniel J. Graham, Daniel Hörcher +1
The fundamental relationship of traffic flow is empirically estimated by fitting a regression curve to a cloud of observations of traffic variables. Such estimates, however, may su…
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…