Scaling Laws of Collective Ride-Sharing Dynamics

dc.bibliographicCitation.firstPage248302eng
dc.bibliographicCitation.issue24eng
dc.bibliographicCitation.journalTitlePhysical review letterseng
dc.bibliographicCitation.volume125eng
dc.contributor.authorMolkenthin, Nora
dc.contributor.authorSchröder, Malte
dc.contributor.authorTimme, Marc
dc.date.accessioned2021-12-07T06:25:59Z
dc.date.available2021-12-07T06:25:59Z
dc.date.issued2020
dc.description.abstractRide-sharing services may substantially contribute to future sustainable mobility. Their collective dynamics intricately depend on the topology of the underlying street network, the spatiotemporal demand distribution, and the dispatching algorithm. The efficiency of ride-sharing fleets is thus hard to quantify and compare in a unified way. Here, we derive an efficiency observable from the collective nonlinear dynamics and show that it exhibits a universal scaling law. For any given dispatcher, we find a common scaling that yields data collapse across qualitatively different topologies of model networks and empirical street networks from cities, islands, and rural areas. A mean-field analysis confirms this view and reveals a single scaling parameter that jointly captures the influence of network topology and demand distribution. These results further our conceptual understanding of the collective dynamics of ride-sharing fleets and support the evaluation of ride-sharing services and their transfer to previously unserviced regions or unprecedented demand patterns.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/7651
dc.identifier.urihttps://doi.org/10.34657/6698
dc.language.isoengeng
dc.publisherCollege Park, Md. : APSeng
dc.relation.doihttps://doi.org/10.1103/PhysRevLett.125.248302
dc.relation.essn1079-7114
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subject.ddc550eng
dc.subject.ddc530eng
dc.subject.otherDynamicseng
dc.subject.otherEfficiencyeng
dc.subject.otherCollective dynamicseng
dc.subject.otherConceptual understandingeng
dc.subject.otherDemand distributioneng
dc.subject.otherDispatching algorithmeng
dc.subject.otherMean field analysiseng
dc.subject.otherScaling parametereng
dc.subject.otherSustainable mobilityeng
dc.subject.otherUnprecedented demandeng
dc.subject.otherTopologyeng
dc.titleScaling Laws of Collective Ride-Sharing Dynamicseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorPIKeng
wgl.subjectGeowissenschafteneng
wgl.typeZeitschriftenartikeleng
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Scaling Laws of Collective Ride-Sharing Dynamics.pdf
Size:
504.62 KB
Format:
Adobe Portable Document Format
Description: