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dc.contributor.authorSørensen, Anette Østbø
dc.contributor.authorBjelland, Johannes
dc.contributor.authorBull-Berg, Heidi
dc.contributor.authorLandmark, Andreas D.
dc.contributor.authorAkhtar, Muhammad Mohsin
dc.contributor.authorOlsson, Nils
dc.date.accessioned2019-11-13T07:38:16Z
dc.date.available2019-11-13T07:38:16Z
dc.date.created2018-06-21T09:32:41Z
dc.date.issued2018
dc.identifier.citationJournal of Rail Transport Planning & Management. 2018, 8 (2), 123-144.nb_NO
dc.identifier.issn2210-9706
dc.identifier.urihttp://hdl.handle.net/11250/2628018
dc.description.abstractSeveral studies have pointed to the difficulties of obtaining good data on train ridership. There are at least two challenges regarding these data. First, train operators consider such data confidential business information, especially in high resolution. Second, the data that actually are available vary in quality and coverage. This paper studies mobile phone data as an alternative measure to obtain data about train ridership. Handset counts were obtained from one telecom operator for selected mobile phone base stations and compared with timetable data and APC. The selected base stations are located so that it is likely that a large share of the mobile phone traffic is generated by train passengers. The number of units connected to a base station is found to correspond relatively well with the trains that pass close to the base stations. A ratio between the handset count and APC data appear as promising in utilizing handset count to calculate train ridership, with ratios around one in the rush hours. We discuss preliminary results as well as methodological and technical challenges. To make sure that we do not violate privacy concerns, the data used in the study have been approved by personal privacy representatives.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectRailwaynb_NO
dc.subjectRidershipnb_NO
dc.subjectTrainnb_NO
dc.subjectMobile phone datanb_NO
dc.subjectSmart cardsnb_NO
dc.subjectTransportationnb_NO
dc.subjectFare collectionnb_NO
dc.subjectMobile phonesnb_NO
dc.subjectTechnical challengesnb_NO
dc.titleUse of mobile phone data for analysis of number of train travellersnb_NO
dc.title.alternativeUse of mobile phone data for analysis of number of train travellersnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionsubmittedVersionnb_NO
dc.rights.holder© 2019 Elsevier B.V. All rights reserved. This is the authors' accepted and refereed manuscript to the article. Released with a Creative Commons Attribution Non-Commercial No Derivatives License. The final publication is available at https://doi.org/10.1016/j.jrtpm.2018.06.002nb_NO
dc.subject.nsiVDP::Samfunnsvitenskap: 200nb_NO
dc.source.pagenumber123-144nb_NO
dc.source.volume8nb_NO
dc.source.journalJournal of Rail Transport Planning & Managementnb_NO
dc.source.issue2nb_NO
dc.identifier.doi10.1016/j.jrtpm.2018.06.002
cristin.unitcode7401,60,20,0
cristin.unitcode7401,60,55,0
cristin.unitnameAnvendt økonomi
cristin.unitnameTeknologiledelse
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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