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Impact analysis of transport network disruptions using multimodal data: A case study for tunnel closures in Stockholm
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport Planning, Economics and Engineering.
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport Planning, Economics and Engineering. Northeastern Univ, Dept Civil & Environm Engn, Boston, MA 02115 USA.
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport Planning, Economics and Engineering.ORCID iD: 0000-0002-4106-3126
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport Planning, Economics and Engineering.ORCID iD: 0000-0002-8499-0843
2018 (English)In: Case Studies on Transport Policy, ISSN 2213-624X, E-ISSN 2213-6258, Vol. 6, no 2, p. 179-189Article in journal (Refereed) Published
Abstract [en]

The paper explores the utilization of heterogeneous data sources to analyze the multimodal impacts of transport network disruptions. A systematic data-driven approach is proposed for the analysis of impacts with respect to two aspects: (a) spatiotemporal network changes, and (b) multimodal effects. The feasibility and benefits of combining various data sources are demonstrated through a case study for a tunnel in Stockholm, Sweden which is often prone to closures. Several questions are addressed including the identification of impacted areas, and the evaluation of impacts on network performance, demand patterns and performance of the public transport system. The results indicate significant impact of tunnel closures on the network traffic conditions due to the redistribution of vehicles on alternative paths. Effects are also found on the performance of public transport. Analysis of the demand reveals redistribution of traffic during the tunnel closures, consistent with the observed impacts on network performance. Evidence for redistribution of travelers to public transport is observed as a potential effect of the closures. Better understanding of multimodal impacts of a disruption can assist authorities in their decision-making process to apply adequate traffic management policies.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2018. Vol. 6, no 2, p. 179-189
Keywords [en]
Transport system disruptions, Data-driven analysis
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-231201DOI: 10.1016/j.cstp.2018.05.003ISI: 000434260300001Scopus ID: 2-s2.0-85047071116OAI: oai:DiVA.org:kth-231201DiVA, id: diva2:1229137
Note

QC 20180629

Available from: 2018-06-29 Created: 2018-06-29 Last updated: 2018-11-23Bibliographically approved

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Tympakianaki, AthinaKoutsopoulos, Haris N.Jenelius, ErikCebecauer, Matej

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