Optimal routing for mass transit systems using multicriteria methodologies

Transportation consumes approximately 29% of the world's energy and is responsible for approximately 25% of CO2 emissions worldwide. In Cuenca, Ecuador, fossil fuels for transportation represent 59.9% of total energy consumption. Ecuadorian legislation has specified gradually replacing traditio...

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Main Authors: Vicente Martínez-Maldonado, Antonio Barragán-Escandón, Xavier Serrano-Guerrero, Esteban F. Zalamea-Leon
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Energy Strategy Reviews
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2211467X23000275
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author Vicente Martínez-Maldonado
Antonio Barragán-Escandón
Xavier Serrano-Guerrero
Esteban F. Zalamea-Leon
author_facet Vicente Martínez-Maldonado
Antonio Barragán-Escandón
Xavier Serrano-Guerrero
Esteban F. Zalamea-Leon
author_sort Vicente Martínez-Maldonado
collection DOAJ
description Transportation consumes approximately 29% of the world's energy and is responsible for approximately 25% of CO2 emissions worldwide. In Cuenca, Ecuador, fossil fuels for transportation represent 59.9% of total energy consumption. Ecuadorian legislation has specified gradually replacing traditional public bus transport units with electric units. Because the relevant costs include those associated with replacing equipment and improving route networks, alternatives that prioritize incorporating the first units on the best routes are being sought. This work establishes a methodological process with a set of tools to prioritize the gradual migration from conventional to electric buses according to the characteristics of each route. The Preference Ranking Organization Method for Enrichment of Evaluation (PROMETHEE) multicriteria technique is used to detect the best routes according to technical, social, environmental, economic and location criteria. A final rank of routes is obtained using Visual PROMETHEE software. After the values defining each criterion and its corresponding weight were processed, the final ranking makes it possible to prioritize one route before others. Given 23 lines and 475 bus units, the method enabled us to determine that in an initial phase, 68 electric buses are required to be used on five lines to reduce fuel consumption. The factors that most influence decision making are the number of passengers served, the length of the trip and the energy required by the route.
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spelling doaj.art-4828b55ffdc54b708a2075ae0d546d182023-05-23T04:21:40ZengElsevierEnergy Strategy Reviews2211-467X2023-05-0147101077Optimal routing for mass transit systems using multicriteria methodologiesVicente Martínez-Maldonado0Antonio Barragán-Escandón1Xavier Serrano-Guerrero2Esteban F. Zalamea-Leon3Grupo de Investigación en Energía, Universidad Politécnica Salesiana, Calle Vieja 12-30 and Elia Liut, Cuenca, EcuadorGrupo de Investigación en Energía, Universidad Politécnica Salesiana, Calle Vieja 12-30 and Elia Liut, Cuenca, Ecuador; Corresponding author. Universidad Politécnica Salesiana, 010103, Cuenca, Ecuador.Grupo de Investigación en Energía, Universidad Politécnica Salesiana, Calle Vieja 12-30 and Elia Liut, Cuenca, EcuadorUniversidad de Cuenca, Facultad de Arquitectura y Urbanismo, Av 12 de Abril y Agustin, Cueva, Cuenca, EcuadorTransportation consumes approximately 29% of the world's energy and is responsible for approximately 25% of CO2 emissions worldwide. In Cuenca, Ecuador, fossil fuels for transportation represent 59.9% of total energy consumption. Ecuadorian legislation has specified gradually replacing traditional public bus transport units with electric units. Because the relevant costs include those associated with replacing equipment and improving route networks, alternatives that prioritize incorporating the first units on the best routes are being sought. This work establishes a methodological process with a set of tools to prioritize the gradual migration from conventional to electric buses according to the characteristics of each route. The Preference Ranking Organization Method for Enrichment of Evaluation (PROMETHEE) multicriteria technique is used to detect the best routes according to technical, social, environmental, economic and location criteria. A final rank of routes is obtained using Visual PROMETHEE software. After the values defining each criterion and its corresponding weight were processed, the final ranking makes it possible to prioritize one route before others. Given 23 lines and 475 bus units, the method enabled us to determine that in an initial phase, 68 electric buses are required to be used on five lines to reduce fuel consumption. The factors that most influence decision making are the number of passengers served, the length of the trip and the energy required by the route.http://www.sciencedirect.com/science/article/pii/S2211467X23000275Decarbonization of public transportMulticriteria analysisPublic bus transportElectric busesPROMETHEE
spellingShingle Vicente Martínez-Maldonado
Antonio Barragán-Escandón
Xavier Serrano-Guerrero
Esteban F. Zalamea-Leon
Optimal routing for mass transit systems using multicriteria methodologies
Energy Strategy Reviews
Decarbonization of public transport
Multicriteria analysis
Public bus transport
Electric buses
PROMETHEE
title Optimal routing for mass transit systems using multicriteria methodologies
title_full Optimal routing for mass transit systems using multicriteria methodologies
title_fullStr Optimal routing for mass transit systems using multicriteria methodologies
title_full_unstemmed Optimal routing for mass transit systems using multicriteria methodologies
title_short Optimal routing for mass transit systems using multicriteria methodologies
title_sort optimal routing for mass transit systems using multicriteria methodologies
topic Decarbonization of public transport
Multicriteria analysis
Public bus transport
Electric buses
PROMETHEE
url http://www.sciencedirect.com/science/article/pii/S2211467X23000275
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