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Sensitivity analysis of welfare, equity, and acceptability level of transport policies

Paper i proceeding
Författare R. Connors
Michael Patriksson
C. Rydergren
A. Sumalee
D. Watling
Publicerad i Conference on Optimization, Control and Applications in the Information Age, 2014; Macedonia; Greece
Volym 130
Sidor 39-65
ISBN 978-3-319-18566-8
ISSN 2194-1009
Publiceringsår 2015
Publicerad vid Institutionen för matematiska vetenskaper, matematik
Sidor 39-65
Språk en
Länkar dx.doi.org/10.1007/978-3-319-18567-...
Ämnesord Urban traffic travel mode and route choice modelling; Combined network equilibrium model; Welfare; Equitability and acceptability measures; Entropy; Sensitivity analysis
Ämneskategorier Matematik, Transportteknik och logistik

Sammanfattning

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.

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