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Shortest paths, travel costs, and traffic

Bibliographic Data

ID21248073
AuthorsMengying Cui (0000-0001-7790-8533, The University of Sydney, corresponding author), David Levinson (0000-0002-4563-2963, The University of Sydney)
Year2021
Volume48
Issue4
Pages828-844
Publication date2021-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning B Urban Analytics and City Science (JOURNAL)
Journal identifiersISSN: 2399-8083 • E-ISSN: 2399-8091
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/2399808319897619
OpenAlexW2989951065
LanguageEN
Citations received2
References cited45

This study examines path flows for road networks. Path flows sum individual route choices from individual travelers, associated with specific path objective. We estimate these flows for each cost factor of auto travel: time, safety, emission, and monetary costs, as well as their composite, internal and full cost of travel. For each factor, we find the route with the minimum cumulative cost. We further explore the extent to which each cost factor contributes to explaining the observed link traffic flows given an estimated home-to-work demand pattern. The results of the Minneapolis – St. Paul metropolitan area indicate that flows from multiple path types, associated with different internal cost components, along with distance, provide the best fit

Computer network · Geography · Metropolitan area · Operations research · Shortest path problem · Transport engineering · Travel time · Computer Science · Economic and Environmental Valuation · Engineering · Mathematics · Transportation Planning and Optimization · Urban Transport and Accessibility

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Unique citing works2
Citations per year0,67
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo

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