41 citations · 52 across the 13 of their papers we have counts for
6 papers · 1 filter
Face masks, vaccination rates and low crowding drive the demand for the London Underground during the COVID-19 pandemic
Prateek Bansal, Roselinde Kessels, Rico Krueger +1
The COVID-19 pandemic has drastically impacted people's travel behaviour and out-of-home activity participation. While countermeasures are being eased with increasing vaccination r…
Modelling Animal-Vehicle Collision Counts across Large Networks Using a Bayesian Hierarchical Model with Time-Varying Parameters
Krishna Murthy Gurumurthy, Zili Li, Kara M. Kockelman +1
Animal-vehicle collisions (AVCs) are common around the world and result in considerable loss of animal and human life, as well as significant property damage and regular insurance…
A New Spatial Count Data Model with Time-varying Parameters
Prasad Buddhavarapu, Prateek Bansal, Jorge A. Prozzi
Recent crash frequency studies incorporate spatiotemporal correlations, but these studies have two key limitations: i) none of these studies accounts for temporal variation in mode…
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…
A New Spatial Count Data Model with Bayesian Additive Regression Trees for Accident Hot Spot Identification
Rico Krueger, Prateek Bansal, Prasad Buddhavarapu
The identification of accident hot spots is a central task of road safety management. Bayesian count data models have emerged as the workhorse method for producing probabilistic ra…