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Can smartphone generated cycling data contribute to the improvement of the bicycle infrastructure?

dc.contributor.authorHöper, Tobias Höper
dc.contributor.authorSchering, Johannes
dc.contributor.authorMarx Gómez, Jorge
dc.date.accessioned2021-12-14T10:57:55Z
dc.date.available2021-12-14T10:57:55Z
dc.date.issued2021
dc.description.abstractSmartphone generated data could make an important contribution to learn more about cycling behaviors to support the decision making process. As part of the Oldenburg Bicycle Challenge a huge amount of app based data was gathered in the German Oldenburg region. In combination with weather and counting data new knowledge on bicycle use can be generated. Parameters as distances and durations of the trips, hourly values, the distribution of the trips to recreational and utilitarian purposes, brakings and waiting times are analyzed and discussed as part of this work. GPS data of cyclists is not only gathered by smartphone apps but also by bike sensors that are attached to the bicycle as many projects has shown (e.g. ECOSense). As part of the conclusion, the advantages and disadvantages of both approaches regarding acquisition of participants, effort for data collection, data quality, potentials for cycling data analysis etc. will be discussed.en
dc.identifier.doi10.18420/informatik2021-009
dc.identifier.isbn978-3-88579-708-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37759
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-314
dc.subjectBicycle Application
dc.subjectgamification
dc.subjectbicycle data
dc.subjectsmart cycling
dc.titleCan smartphone generated cycling data contribute to the improvement of the bicycle infrastructure?en
dc.title.subtitlePotentials of a gamification app to support decision processes in a cityen
gi.citation.endPage135
gi.citation.startPage127
gi.conference.date27. September - 1. Oktober 2021
gi.conference.locationBerlin
gi.conference.sessiontitleWorkshop: Betriebliche Umweltinformationssysteme (BUIS)

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