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Causal analysis at extreme quantiles with application to London traffic flow data

Bhuyan, Prajamitra, Jana, Kaushik and McCoy, Emma J. (2023) Causal analysis at extreme quantiles with application to London traffic flow data. Journal of the Royal Statistical Society. Series C: Applied Statistics, 72 (5). 1452 - 1474. ISSN 0035-9254

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Identification Number: 10.1093/jrsssc/qlad080


Transport engineers employ various interventions to enhance traffic-network performance. Quantifying the impacts of Cycle Superhighways is complicated due to the non-random assignment of such an intervention over the transport network. Treatment effects on asymmetric and heavy-tailed distributions are better reflected at extreme tails rather than at the median. We propose a novel method to estimate the treatment effect at extreme tails incorporating heavy-tailed features in the outcome distribution. The analysis of London transport data using the proposed method indicates that the extreme traffic flow increased substantially after Cycle Superhighways came into operation.

Item Type: Article
Official URL:
Additional Information: © 2023 The Royal Statistical Society
Divisions: LSE
Subjects: H Social Sciences > HE Transportation and Communications
H Social Sciences > HA Statistics
Date Deposited: 01 Feb 2024 10:12
Last Modified: 09 Feb 2024 16:15

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