Imperial College London
Portrait Picture

Professor Dan Graham

Faculty of Engineering, Department of Civil and Environmental Engineering

Professor of Statistical Modelling
 
 
 
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Contact

 

+44 (0)20 7594 6088d.j.graham Website

 
 
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Assistant

 

Ms Maya Mistry +44 (0)20 7594 6100

 
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Location

 

611Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Anupriya and Bansal:2023:10.1016/j.tra.2023.103726,
author = {Anupriya and Bansal, P and Graham, DJ},
doi = {10.1016/j.tra.2023.103726},
journal = {Transportation Research Part A: Policy and Practice},
pages = {1--29},
title = {Congestion in cities: can road capacity expansions provide a solution?},
url = {http://dx.doi.org/10.1016/j.tra.2023.103726},
volume = {174},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Road network congestion; a traffic state characterised by slower speeds, longer trip times, and increased vehicular queuing; is a major issue in most urban areas around the globe. Building more roads is a commonly employed policy intervention to reduce congestion. This strategy, however, is controversial because under certain conditions road capacity expansions may induce growth in traffic volumes. A crucial precursor to understanding whether road capacity expansions provide a solution to congestion is to quantify the technology driving congestion in urban road networks. This congestion technology describes the variation in performance of the network, often represented by traffic flow through the road network, over its intensity of use given by the number of vehicles in the network. However, obtaining empirical estimates of congestion technology from data on traffic variables is challenging due to statistical biases that emerge via the complex interactions between traffic flow, traffic controls, and capacity. To adjust for such biases, this paper presents an approach based on causal statistical modelling to quantify the nature and form of congestion technology in road networks in twenty-four cities worldwide. Our results suggest that increasing network capacity is in general not an efficient solution to manage congestion, in the sense that the average travel speed in the network does not increase substantially with an increase in capacity. This result and our congestion technology estimates have important implications for optimal urban transportation strategies.
AU  - Anupriya
AU  - Bansal,P
AU  - Graham,DJ
DO  - 10.1016/j.tra.2023.103726
EP  - 29
PY  - 2023///
SN  - 0965-8564
SP  - 1
TI  - Congestion in cities: can road capacity expansions provide a solution?
T2  - Transportation Research Part A: Policy and Practice
UR  - http://dx.doi.org/10.1016/j.tra.2023.103726
UR  - https://www.sciencedirect.com/science/article/pii/S0965856423001465
UR  - http://hdl.handle.net/10044/1/105081
VL  - 174
ER  -
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