Impact assessment of extreme weather events on transport networks: A data-driven approach
The present paper presents a data-driven method for assessing the resilience of the European passenger transport network during extreme weather events. The method aims to fill in the gap of current research efforts regarding the quantification of impacts attributed to climate change and the identification of substitutability opportunities between transport modes in case of extreme weather events (EWE). The proposed method consists of three steps concerning the probability estimation of an EWE occurring within a transportation network, the assessment of its impacts and the passengers’ flow shift between various transport modes. A mathematical formulation for the proposed data-driven method is provided and applied in an indicative European small-scale network, in order to assess the impacts of EWE on modal choice. Results are expressed in passenger differentiated flows and the paper concludes with future research steps and directions.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Stamos, Iraklis
- Mitsakis, Evangelos
- Salanova, Josep Maria
- Aifadopoulou, Georgia
- Publication Date: 2015-1
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 168-178
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Serial:
- Transportation Research Part D: Transport and Environment
- Volume: 34
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1361-9209
- Serial URL: http://www.sciencedirect.com/science/journal/13619209
Subject/Index Terms
- TRT Terms: Climate change; Data analysis; Evaluation and assessment; Mode choice; Weather conditions
- Geographic Terms: Europe
- Subject Areas: Environment; Passenger Transportation; Safety and Human Factors; I15: Environment; I82: Accidents and Transport Infrastructure;
Filing Info
- Accession Number: 01552090
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 29 2015 9:20AM