Travel times and transfers in public transport: Comprehensive accessibility analysis based on Pareto-optimal journeys

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Kujala, Rainer
dc.contributor.author Weckström, Christoffer
dc.contributor.author Mladenović, Miloš N.
dc.contributor.author Saramäki, Jari
dc.date.accessioned 2017-10-13T10:33:22Z
dc.date.available 2017-10-13T10:33:22Z
dc.date.issued 2018-01
dc.identifier.citation Kujala , R , Weckström , J , Mladenovic , M & Saramäki , J 2018 , ' Travel times and transfers in public transport: Comprehensive accessibility analysis based on Pareto-optimal journeys ' COMPUTERS ENVIRONMENT AND URBAN SYSTEMS , vol 64 , pp. 41–54 . DOI: 10.1016/j.compenvurbsys.2017.08.012 en
dc.identifier.issn 0198-9715
dc.identifier.other PURE UUID: 3c01499f-4c07-4a3d-aab2-56efd2f479fd
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/travel-times-and-transfers-in-public-transport-comprehensive-accessibility-analysis-based-on-paretooptimal-journeys(3c01499f-4c07-4a3d-aab2-56efd2f479fd).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85033721752&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/15207982/1_s2.0_S0198971517300923_main.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/28160
dc.description.abstract Efficient public transport (PT) networks are vital for well-functioning and sustainable cities. Compared to other modes of transport, PT networks feature inherent systemic complexity due to their schedule-dependence and network organization. Because of this, efficient PT network planning and management calls for advanced modeling and analysis tools. These tools have to take into account how people use PT networks, including factors such as demand, accessibility, trip planning and navigability. From the PT user perspective, the common criteria for planning trips include waiting times to departure, journey durations, and the number of required transfers. However, waiting times and transfers have typically been neglected in PT accessibility studies and related decision-support tools. Here, we tackle this issue by introducing a decision-support framework for PT planners and managers, based on temporal networks methodology. This framework allows for computing pre-journey waiting times, journey durations, and number of required transfers for all Pareto-optimal journeys between any origin–destination pair, at all points in time. We visualize this information as a temporal distance profile, covering any given time interval. Based on such profiles, we define the best-case, mean, and worst-case measures for PT travel time and number of required PT vehicle boardings, and demonstrate their practical utility to PT planning through a series of accessibility case studies. By visualizing the computed measures on a map and studying their relationships by performing an all-to-all analysis between 7463 PT stops in the Helsinki metropolitan region, we show that each of the measures provides a different perspective on accessibility. To pave the way towards more comprehensive understanding of PT accessibility, we provide our methods and full analysis pipeline as free and open source software. en
dc.format.extent 41–54
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries COMPUTERS ENVIRONMENT AND URBAN SYSTEMS en
dc.relation.ispartofseries Volume 64 en
dc.rights openAccess en
dc.subject.other Geography, Planning and Development en
dc.subject.other Ecological Modelling en
dc.subject.other Environmental Science(all) en
dc.subject.other Urban Studies en
dc.subject.other 113 Computer and information sciences en
dc.title Travel times and transfers in public transport: Comprehensive accessibility analysis based on Pareto-optimal journeys en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Computer Science
dc.contributor.department Professorship Saramäki J.
dc.contributor.department Department of Built Environment
dc.subject.keyword Transit
dc.subject.keyword Routing
dc.subject.keyword Temporal distance profile
dc.subject.keyword Temporal network
dc.subject.keyword GTFS
dc.subject.keyword OpenStreetMap
dc.subject.keyword Geography, Planning and Development
dc.subject.keyword Ecological Modelling
dc.subject.keyword Environmental Science(all)
dc.subject.keyword Urban Studies
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201710137021
dc.identifier.doi 10.1016/j.compenvurbsys.2017.08.012
dc.type.version publishedVersion


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