File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: The short-run and long-run equilibria for commuting with autonomous vehicles

TitleThe short-run and long-run equilibria for commuting with autonomous vehicles
Authors
KeywordsShort-run equilibrium
long-run equilibrium
autonomous vehicles (AV)
AV penetration
bottleneck model
Issue Date2020
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttrb20
Citation
Transportmetrica B: Transport Dynamics, 2020, Epub 2020-07-20 How to Cite?
AbstractRecent empirical studies indicated that using autonomous vehicles (AVs) can reduce commuters' value of time. In this context, this paper investigates how variation in value of time for AVs will reshape the commuting dynamics in the short-run and the implication on AV-related policies in the long run. We find that in the short run, the adoption of AV can create more congestion delays since delay becomes cheaper for commuters. In the long run, a number of external factors such as ownership cost and safety concerns may affect commuters' preference for AVs as against to traditional vehicles (TVs). This will influence the AV penetration, which in turn affects the daily commuting equilibrium. Multiple long-run equilibria with different AV penetrations may exist, depending on the additional cost/benefit of AVs with respect to TVs. Government subsidies may be needed to drive the system from inefficient long-run equilibrium to a more efficient one.
Persistent Identifierhttp://hdl.handle.net/10722/288088
ISSN
2023 Impact Factor: 3.3
2023 SCImago Journal Rankings: 1.188
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, F-
dc.contributor.authorLiu, W-
dc.contributor.authorLodewijks, G-
dc.contributor.authorWaller, TS-
dc.date.accessioned2020-10-05T12:07:42Z-
dc.date.available2020-10-05T12:07:42Z-
dc.date.issued2020-
dc.identifier.citationTransportmetrica B: Transport Dynamics, 2020, Epub 2020-07-20-
dc.identifier.issn2168-0566-
dc.identifier.urihttp://hdl.handle.net/10722/288088-
dc.description.abstractRecent empirical studies indicated that using autonomous vehicles (AVs) can reduce commuters' value of time. In this context, this paper investigates how variation in value of time for AVs will reshape the commuting dynamics in the short-run and the implication on AV-related policies in the long run. We find that in the short run, the adoption of AV can create more congestion delays since delay becomes cheaper for commuters. In the long run, a number of external factors such as ownership cost and safety concerns may affect commuters' preference for AVs as against to traditional vehicles (TVs). This will influence the AV penetration, which in turn affects the daily commuting equilibrium. Multiple long-run equilibria with different AV penetrations may exist, depending on the additional cost/benefit of AVs with respect to TVs. Government subsidies may be needed to drive the system from inefficient long-run equilibrium to a more efficient one.-
dc.languageeng-
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttrb20-
dc.relation.ispartofTransportmetrica B: Transport Dynamics-
dc.rightsAOM/Preprint Before Accepted: his article has been accepted for publication in [JOURNAL TITLE], published by Taylor & Francis. AOM/Preprint After Accepted: This is an [original manuscript / preprint] of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI]. Accepted Manuscript (AM) i.e. Postprint This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI].-
dc.subjectShort-run equilibrium-
dc.subjectlong-run equilibrium-
dc.subjectautonomous vehicles (AV)-
dc.subjectAV penetration-
dc.subjectbottleneck model-
dc.titleThe short-run and long-run equilibria for commuting with autonomous vehicles-
dc.typeArticle-
dc.identifier.emailZhang, F: fnzhang@hku.hk-
dc.identifier.authorityZhang, F=rp02657-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/21680566.2020.1779146-
dc.identifier.scopuseid_2-s2.0-85088309464-
dc.identifier.hkuros314939-
dc.identifier.volumeEpub 2020-07-20-
dc.identifier.spage1-
dc.identifier.epage28-
dc.identifier.eissn2168-0582-
dc.identifier.isiWOS:000777047300001-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl2168-0566-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats