Imperial College London

Dr Daniel Hörcher

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Research Associate
 
 
 
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Contact

 

d.horcher

 
 
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Location

 

Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Horcher:2022:10.1007/s11116-021-10192-6,
author = {Horcher, D and Singh, R and Graham, D},
doi = {10.1007/s11116-021-10192-6},
journal = {Transportation},
pages = {735--764},
title = {Social distancing in public transport: mobilising new technologies for demand management under the Covid-19 crisis},
url = {http://dx.doi.org/10.1007/s11116-021-10192-6},
volume = {49},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Dense urban areas are especially hardly hit by the Covid-19 crisis due to the limited availability of public transport, one of the most efficient means of mass mobility. In light of the Covid-19 pandemic, public transport operators are experiencing steep declines in demand and fare revenues due to the perceived risk of infection within vehicles and other facilities. The purpose of this paper is to explore the possibilities of implementing social distancing in public transport in line with epidemiological advice. Social distancing requires effective demand management to keep vehicle occupancy rates under a predefined threshold, both spatially and temporally. We review the literature of five demand management methods enabled by new information and ticketing technologies: (i) inflow control with queueing, (ii) time and space dependent pricing, (iii) capacity reservation with advance booking, (iv) slot auctioning, and (v) tradeable travel permit schemes. Thus the paper collects the relevant literature into a single point of reference, and provides interpretation from the viewpoint of practical applicability during and after the pandemic.
AU - Horcher,D
AU - Singh,R
AU - Graham,D
DO - 10.1007/s11116-021-10192-6
EP - 764
PY - 2022///
SN - 0049-4488
SP - 735
TI - Social distancing in public transport: mobilising new technologies for demand management under the Covid-19 crisis
T2 - Transportation
UR - http://dx.doi.org/10.1007/s11116-021-10192-6
UR - http://hdl.handle.net/10044/1/87951
VL - 49
ER -