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Is there more traffic congestion in larger cities? -Scaling analysis of the 101 largest US urban centers-

Authors
Chang, Yu SangLee, Yong JooChoi, Sung Sup Brian
Issue Date
Oct-2017
Publisher
ELSEVIER SCI LTD
Keywords
Urban congestion; Total delay hours; Excess CO2 emission; Excess fuel consumption; Superlinear relationship; Sublinear relationship
Citation
TRANSPORT POLICY, v.59, pp.54 - 63
Journal Title
TRANSPORT POLICY
Volume
59
Start Page
54
End Page
63
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/5616
DOI
10.1016/j.tranpol.2017.07.002
ISSN
0967-070X
Abstract
Over the past three decades, urban congestion has become more costly in terms of time, money, and fuel. For the top 101 largest US urban centers, congestion generated 4.8 billion hours of travel delays in 2011, up from 1.1 billion hours in 1982. Congestion also required 8.419 million cubic meters of excess fuel consumption in 2011, up from 1.73 million cubic meters in 1982. Filially, the excess CO2 emitted from congestion amounted to 19.524 billion kilograms in 2011, up from 3.94 billion kilograms in 1982. We examined the scaling relationships between the population sizes of urban centers and traffic congestion for four subgroups of urban centers with varying population sizes. We found that scaling relationships were superlinear for most subgroups. However, for the subgroup comprising mega cities with populations of over 3 million people, the relationship was linear. The varying scaling relationships we found for cities with different population sizes may resolve the contradictory scaling results reported in the extant literature. Several other implications from our findings are also discussed.
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