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Converting One-Way Streets to Two-Way Streets to Improve Transportation Network Efficiency and Reduce Vehicle Distance Traveled

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2022Embargo end date: 01 Jan 2022 United States Publisher:Center for Open ScienceJournal:Journal of Planning Education and Research, volume 44, pages 1,670-1,678 (issn: 0739-456X, eissn: 1552-6577,

Authors: Geoff Boeing; William (Billy) Riggs;

doi: 10.31235/osf.io/fyhbc , 10.1177/0739456x221106334 , 10.2139/ssrn.4091011 , 10.48550/arxiv.2204.10944

arXiv: http://arxiv.org/abs/2204.10944 , 2204.10944

Converting One-Way Streets to Two-Way Streets to Improve Transportation Network Efficiency and Reduce Vehicle Distance Traveled

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Abstract

Planning scholars have identified economic, safety, and social benefits of converting one-way streets to two-way. Less is known about how conversions could impact vehicular distances traveled—of growing relevance in an era of fleet automation, electrification, and ride-hailing. We simulate such a conversion in San Francisco, California. We find that its current street network’s average intra-city trip is about 1.7% longer than it would be with all two-way streets, corresponding to 27 million kilometers of annual surplus travel. As transportation technologies evolve, planners must consider different facets of network efficiency to align local policy and street design with sustainability and other societal goals.

Country

United States

Related Organizations

University of California System
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University of San Francisco
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Keywords

FOS: Computer and information sciences, streets, Physics - Physics and Society, General Economics (econ.GN), FOS: Physical sciences, Physics and Society (physics.soc-ph), urban design, Statistics - Applications, urban planning, FOS: Economics and business, Computer Science - Computers and Society, travel behavior, driving, Computers and Society (cs.CY), Applications (stat.AP), network analysis, electric vehicles, Economics - General Economics, transportation, sustainability, street network, ride-hailing, greenhouse gas, street conversion, automated vehicles, civil engineering

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average