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[journal article]

dc.contributor.authorSzell, Michaelde
dc.date.accessioned2018-08-10T09:15:18Z
dc.date.available2018-08-10T09:15:18Z
dc.date.issued2018de
dc.identifier.issn2183-7635de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/58406
dc.description.abstractMost cities are car-centric, allocating a privileged amount of urban space to cars at the expense of sustainable mobility like cycling. Simultaneously, privately owned vehicles are vastly underused, wasting valuable opportunities for accommodating more people in a livable urban environment by occupying spacious parking areas. Since a data-driven quantification and visualization of such urban mobility space inequality is lacking, here we explore how crowdsourced data can help to advance its understanding. In particular, we describe how the open-source online platform What the Street!? uses massive user-generated data from OpenStreetMap for the interactive exploration of city-wide mobility spaces. Using polygon packing and graph algorithms, the platform rearranges all parking and mobility spaces of cars, rails, and bicycles of a city to be directly comparable, making mobility space inequality accessible to a broad public. This crowdsourced method confirms a prevalent imbalance between modal share and space allocation in 23 cities worldwide, typically discriminating bicycles. Analyzing the guesses of the platform’s visitors about mobility space distributions, we find that this discrimination is consistently underestimated in the public opinion. Finally, we discuss a visualized scenario in which extensive parking areas are regained through fleets of shared, autonomous vehicles. We outline how such accessible visualization platforms can facilitate urban planners and policy makers to reclaim road and parking space for pushing forward sustainable transport solutions.de
dc.languageende
dc.subject.ddcStädtebau, Raumplanung, Landschaftsgestaltungde
dc.subject.ddcLandscaping and area planningen
dc.subject.otherOpenStreetMap; big data; bin packing; crowdsourcing; data visualization; mobility; sustainable transport; transport justice; urban space inventory; volunteered geographical informationde
dc.titleCrowdsourced Quantification and Visualization of Urban Mobility Space Inequalityde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.identifier.urlhttps://www.cogitatiopress.com/urbanplanning/article/view/1209de
dc.source.journalUrban Planning
dc.source.volume3de
dc.publisher.countryPRT
dc.source.issue1de
dc.subject.classozRaumplanung und Regionalforschungde
dc.subject.classozArea Development Planning, Regional Researchen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
internal.statusformal und inhaltlich fertig erschlossende
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-20de
internal.identifier.classoz20700
internal.identifier.journal794
internal.identifier.document32
internal.identifier.ddc710
dc.source.issuetopicCrowdsourced Data and Social Media in Participatory Urban Planningde
dc.identifier.doihttps://doi.org/10.17645/up.v3i1.1209de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.dda.referencehttps://www.cogitatiopress.com/urbanplanning/oai/@@oai:ojs.cogitatiopress.com:article/1209
ssoar.urn.registrationfalsede


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