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Sensitivity Analysis of Welfare, Equity, and Acceptability Level of Transport Policies
Institute for Transport Studies, Leeds University, Leeds, England, UK.
Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten. (Trafiksystem)ORCID-id: 0000-0001-6405-5914
King Mongkut’s Institute of Technology Ladkrabang, Thailand.
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2015 (Engelska)Ingår i: Optimization, Control, and Applications in the Information Age: In Honor of Panos M. Pardalos’s 60th Birthday / [ed] Athanasios Migdalas, Athanasia Karakitsiou, London: Springer Publishing Company, 2015, s. 39-65Kapitel i bok, del av antologi (Refereegranskat)
Abstract [en]

Transport planners face a major challenge to devise policies to meet multiple expectations and objectives. While we know that transport networks are complex, multi-modal, and spatially distributed systems, there is now a long history of mathematical tools which assist planners in understanding travel movements. However, the objectives that they are asked to achieve do not always admit such a quantification, and so there is a potential mismatch between seemingly qualitatively driven objectives and quantitatively expressed models of the transport system. In the present chapter we address this mismatch, by focusing on three objectives that we believe represent the typical interests of a planner. These are namely: is the policy economically justifiable (efficient), is it “fair” (equitable), and is it justifiable to a democratic society (acceptable)? We provide mathematical representations of these three objectives and link them to mathematical theory of transport networks, in which we may explore the sensitivity of travel behaviour (and hence the objectives) to various multi-modal transport policies. The detailed steps for representing the policy objectives and sensitivities in the network are set out, and the results of a case study reported in which road tolls, road capacities, and bus fares are the policy variables. Overall, the chapter sets out a systematic method for planners to choose between multi-modal policies based on these three objectives.

Ort, förlag, år, upplaga, sidor
London: Springer Publishing Company, 2015. s. 39-65
Serie
Springer Proceedings in Mathematics & Statistics, ISSN 2194-1009 ; 40
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Beräkningsmatematik
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URN: urn:nbn:se:liu:diva-121273DOI: 10.1007/978-3-319-18567-5_3ISI: 000380540400003ISBN: 978-3-319-18566-8 (tryckt)ISBN: 978-3-319-18567-5 (tryckt)OAI: oai:DiVA.org:liu-121273DiVA, id: diva2:853010
Tillgänglig från: 2015-09-10 Skapad: 2015-09-10 Senast uppdaterad: 2019-01-23Bibliografiskt granskad

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