Internalizing negative externalities in vehicle routing problems through green taxes and green tolls
Fecha
2019Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Impacto
|
10.2436/20.8080.02.80
Resumen
Road freight transportation includes various internal and external costs that need to be accounted for in the construction of efficient routing plans. Typically, the resulting optimization problem is formulated as a vehicle routing problem in any of its variants. While the traditional focus of the vehicle routing problem was the minimization of internal routing costs such as travel distance or du ...
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Road freight transportation includes various internal and external costs that need to be accounted for in the construction of efficient routing plans. Typically, the resulting optimization problem is formulated as a vehicle routing problem in any of its variants. While the traditional focus of the vehicle routing problem was the minimization of internal routing costs such as travel distance or duration, numerous approaches to include external factors related to environmental routing aspects have been recently discussed in the literature. However, internal and external routing costs are often treated as competing objectives. This paper discusses the internalization of external routing costs through the consideration of green taxes and green tolls. Numeric experiments with a biased-randomization savings algorithm, show benefits of combining internal and external costs in delivery route planning. [--]
Materias
Vehicle routing problem,
Biased randomization,
Green logistics,
Negative road externalities,
Internalization
Editor
Institut d'Estadística de Catalunya (Idescat)
Publicado en
Sort, 2019, 43 (1), 75-94
Departamento
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Versión del editor
Entidades Financiadoras
This work has been partially supported by the Spanish Ministry of Economy and Competitiveness (TRA2013-48180-C3-P and TRA2015-71883-REDT), FEDER, and the Ibero-American Program for Science and Technology for Development (CYTED2014-515RT0489). Moreover, the authors appreciate the financial support of the Erasmus+ Program (2016-1-ES01-KA108-023465) and the CAN Foundation in Navarre, Spain (Grant CAN2017-6101). Likewise, we want to acknowledge the financial support received by Spanish Ministry of Education (Grant FPU 2014-0024).