Lessons from the Regulation of E-scooters through the MDS Standard: Policy Lessons for Connected Vehicles

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dc.contributor.authorRudmark, Daniel
dc.contributor.authorSandberg, Johan
dc.contributor.authorWatson, Richard T.
dc.date.accessioned2022-12-27T18:59:15Z
dc.date.available2022-12-27T18:59:15Z
dc.date.issued2023-01-03
dc.description.abstractConnected vehicles generate new data streams that present promising opportunities for policymakers to monitor and learn from events and behavior. To explore what we can learn from how public entities leverage ubiquitous data streams for policy development and enforcement, we draw on a case study of the standard Mobility Data Specification (MDS) and its use by cities to regulate E-scooter operators. Our findings suggest that (1) the richness of real-time data changes the speed of policy revision, (2) data access enables moving some micro-decisions to the edge, and (3) policy will be formulated as fixed or flexible with different amendment rules.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2023.185
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.other29a4b370-c176-44ac-ba30-a4d70b9cb2de
dc.identifier.urihttps://hdl.handle.net/10125/102815
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSmart Mobility Ecosystems and Services
dc.subjectdata-driven policy
dc.subjectedge policy formulation
dc.subjecte-scooter governance
dc.subjectmobility data specification
dc.subjectpolicy learning
dc.titleLessons from the Regulation of E-scooters through the MDS Standard: Policy Lessons for Connected Vehicles
dc.type.dcmitext
prism.startingpage1479

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