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A Target Enterprise Architecture Approach for New Mobility Services in Demand‐Responsive Public Transport
Institute of Computer Science, University of Rostock, Germany; Jellyco GmbH, Germany.
Jönköping University, Tekniska Högskolan, JTH, Avdelningen för datateknik och informatik. Institute of Computer Science, University of Rostock, Germany.ORCID-id: 0000-0002-7431-8412
2022 (Engelska)Ingår i: CEUR Workshop Proceedings, CEUR-WS , 2022, s. 35-43Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Demand-responsive public transport, such as new mobility solutions (NMS), like car sharing, urban bikes or e-scooters, have become increasingly popular in big cities. NMS have started to influence the way people move in urban areas, but they are also expected to impact public transport operators and especially their IT landscape. The purpose of this paper is to present and evaluate this issue from a first enterprise architecture (EA) as a target/reference architecture based on ArchiMate (V.3.1). Although EA management is recognised as relevant for public transport companies, there is a lack of an overall architecture fulfilling requirements of needs-oriented local public transport (especially NMS). The purpose of the research and in particular of this paper is to contribute to this area by (a) highlighting the strategic necessity including the required capabilities, (b) presenting a first target architecture and (c) concretising it in a section using the example of the area of planning and resource deployment. 

Ort, förlag, år, upplaga, sidor
CEUR-WS , 2022. s. 35-43
Serie
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 3223
Nyckelord [en]
demand-oriented public transport, demand-responsive traffic, enterprise architecture, new mobility services, public transportation, reference architecture, supply-oriented public transport, supply-oriented traffic, target architecture, Urban planning, Mobility service, New mobility service, Public transport, Target architectures, Urban transportation
Nationell ämneskategori
Datavetenskap (datalogi) Produktionsteknik, arbetsvetenskap och ergonomi
Identifikatorer
URN: urn:nbn:se:hj:diva-59496Scopus ID: 2-s2.0-85139874881OAI: oai:DiVA.org:hj-59496DiVA, id: diva2:1740180
Konferens
Joint of the BIR 2022 Workshops and Doctoral Consortium, BIR-WS 2022, 20 September 2022 through 23 September 2022
Tillgänglig från: 2023-02-28 Skapad: 2023-02-28 Senast uppdaterad: 2023-02-28Bibliografiskt granskad

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Sandkuhl, Kurt

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Datavetenskap (datalogi)Produktionsteknik, arbetsvetenskap och ergonomi

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