Multiple Criteria Decision Analysis of Sustainable Urban Public Transport Systems

Mathematics

Alberto Romero-Ania¹  Lourdes Rivero Gutiérrez²  María Auxiliadora De Vicente Oliva³ 

[1] Department of Applied Economics, Rey Juan Carlos University, Paseo Artilleros s/n, 28032 Madrid, Spain;Department of Business Administration, Rey Juan Carlos University, Paseo Artilleros s/n, 28032 Madrid, Spain;Department of Finance Economy and Accounting, Rey Juan Carlos University, Paseo Artilleros s/n, 28032 Madrid, Spain;

关键词: multiple criteria decision analysis;    ELECTRE TRI;    sustainable public transport;    urban transport policies;   

DOI  :  10.3390/math9161844

来源: DOAJ

【 摘 要 】

Urban public transport systems must be economically efficient and additionally environmentally sustainable. Available decision support systems, including multiple criteria decision models, allow identifying which urban public transport vehicles are acceptable and those that should no longer be used in efficient and environmentally friendly cities. Previous research has ranked urban public transport vehicles by applying analytic hierarchy process multi-criteria decision-making models, from economic and non-polluting perspectives. However, until now, the types of vehicles acceptable for fleet renewal have not been identified. This study proposes a consistent combination of the ELECTRE TRI multiple criteria decision sorting method and the DELPHI procedure, the objective of which is to identify which urban public transport vehicles are acceptable, taking into consideration a suggested sustainable threshold, which includes economic and environmental strict requirements. The proposed model is based on 2020 Madrid urban public road transport data, published by Madrid City Council, which were compiled by the authors, and assessed by a panel of 20 experts to identify criteria and factors included in the model. Findings help local administrations to identify which urban public transport vehicles should be progressively replaced by those classified as economically efficient and additionally environmentally sustainable.

【 授权许可】

Unknown