EURO 2025 Leeds
Abstract Submission

2887. PLIAS: A Multi-Criteria Decision-Making Tool for Assessing the Performance of Urban Vehicle Access Regulations (UVARs)

Invited abstract in session TC-28: Multicriteria Decision Analysis and Optimization for Complex Decision-Making, stream Decision Support Systems.

Tuesday, 12:30-14:00
Room: Maurice Keyworth 1.03

Authors (first author is the speaker)

1. Theodoti Kerama
Management Science, Lancaster University
2. Konstantinos G. Zografos
Department of Management Science, Lancaster University Management School

Abstract

The increased demand for the transportation and distribution of goods in urban areas, coupled with existing traffic congestion and the associated Green House Gas (GHG) emissions, has led city authorities to introduce measures aiming to improve the urban environmental quality and the sustainability of urban logistics operations. These measures include Urban Vehicle Access Regulations (UVARs) such as low and zero emissions zones, time-windows for deliveries, regulated loading-unloading bays. However, different choices of UVARs impact differently the performance of the city’s mobility and logistics system. Therefore, there is a need for city authorities to have available tools to: i) decide which UVAR(s) should be selected, for implementation, from a set of available UVARs, (ex-ante analysis), and ii) assess the impact of implemented UVAR(s) on the performance of the mobility and logistics system (ex-post analysis). In this presentation, we introduce a Multi-Criteria Decision-Making (MCDM) tool called PLIAS (Policy Logistics Impact Assessment) that can be used by city authorities to perform ex-ante and ex-post analysis for assessing the performance of UVARs. The proposed tool is based on the Analytical Hierarchy Process (AHP) and can be used for group decision making, and allows the user to perform sensitivity analysis regarding the importance assigned to the various assessment criteria.

Keywords

Status: accepted

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