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11/24/2022
Causal inference for data centric engineering
The paper reviews methods that seek to draw causal inference from observ...
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07/06/2021
Face masks, vaccination rates and low crowding drive the demand for the London Underground during the COVID-19 pandemic
The COVID-19 pandemic has drastically impacted people's travel behaviour...
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03/06/2021
Bayesian Doubly Robust Causal Inference via Loss Functions
Frequentist inference has a well-established supporting theory for doubl...
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11/25/2020
Congestion in near capacity metro operations: optimum boardings and alightings at bottleneck stations
During peak hours, metro systems often operate at high service frequenci...
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07/10/2020
A Causal Inference Approach to Measure the Vulnerability of Urban Metro Systems
Transit operators and passengers need vulnerability measures to understa...
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07/07/2020
A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the User Cost of Rail Crowding
Crowding valuation of subway riders is an important input to various sup...
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07/07/2020
Fast Bayesian Estimation of Spatial Count Data Models
Spatial count data models are used to explain and predict the frequency ...
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03/19/2020