A review of recent research on green road freight transportation

Demir, Emrah; Bektaş, Tolga; Laporte, Gilbert

doi:10.1016/j.ejor.2013.12.033

Cited by 584 publications

(331 citation statements)

References 60 publications

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“…For instance, due to less driving time of the PD vehicles, logistics service providers may experience substantial operating cost savings. As a consequence, less traveling time of the vehicles also leads to fewer carbon dioxide-equivalent (CO 2 e) emissions at the global level for the whole society Demir et al [9,11]. Furthermore, using scheduled lines for carrying freight gives extra cost benefits for public transport service providers as the utilization of SL services increases.…”

Section: The Pickup and Delivery Problem With Time Windows And Schedumentioning

confidence: 99%

An adaptive large neighborhood search heuristic for the Pickup and Delivery Problem with Time Windows and Scheduled Lines

Ghilas

Demir

2016

Computers & Operations Research

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156

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Section: The Pickup and Delivery Problem With Time Windows And Schedumentioning

confidence: 99%

An adaptive large neighborhood search heuristic for the Pickup and Delivery Problem with Time Windows and Scheduled Lines

Ghilas

Demir

2016

Computers & Operations Research

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156

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“…Según el Grupo Intergubernamental de Expertos sobre el Cambio Climático (IPCC) (2014), las emisiones de CO2 son proporcionales al consumo de combustible. Para calcular el consumo de combustible de un vehículo y sus emisiones existen varios modelos que pueden agruparse en dos grandes categorías: microscópicos y macroscópicos (Demir et al, 2014;Posada Henao, 2013). En la primera categoría se consideran las diversas fuerzas que afectan el vehículo durante su movimiento; en la segunda, se analizan un conjunto de variables estadísticas que afectan al consumo de combustible.…”

Section: Introductionunclassified

Una Solución al Enrutamiento de Vehículos en Ciudades Montañosas Considerando Aspectos Ambientales y Económicos

2018

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_____________________________________________________________________________________________________________________________________ ResumenEste trabajo aborda un problema de enrutamiento de vehículos en ciudades de montaña, para determinar la más óptima. Actualmente el transporte verde se ha convertido en un tema de gran interés debido a su relación directa con el costo operativo y su impacto en el medio ambiente. Tradicionalmente se ha considerado que la ruta más corta minimiza tanto costos como emisiones. Sin embargo, la topografía del terreno en montañas es una particularidad que debe ser considerada con miras a lograr soluciones más acordes con la realidad. Para este estudio, se propone un modelo matemático multiobjetivo, el cual determina una ruta que logra un adecuado balance entre el costo del transporte y el impacto ambiental. El modelo se aplicó en un canal de distribución minorista de una ciudad andina de Colombia. Se concluyó que, en escenarios de montaña, la ruta más corta no es necesariamente la mejor, debido al impacto de la pendiente en el consumo de combustible y en las emisiones de CO2. Palabras clave: enrutamiento de vehículos; consumo de combustible; emisiones de CO2; pendiente de la carretera; multiobjetivo A Vehicle Routing Solution for Hilly Cities Considering Environmental and Economic Issues AbstractThis paper addresses a vehicle routing problem in mountainous cities with the objective of finding the optimum route. Currently, green transportation has become a topic of great interest due to its direct relation with operational costs and its impact on the environment. Traditionally, the shortest route has been considered to minimize both costs and emissions. However, topography in mountains is a particularity that must be considered in order to achieve more realistic solutions. For this study, a multi-objective mathematical model is proposed to determine a route that achieve a proper balance between transportation cost and environmental impact. The model was applied in a retail distribution channel of an Andean city in Colombia. It was concluded that in mountain scenarios, the shortest route is not necessarily the optimum, due to the impact of slope on fuel consumption and CO2 emissions.

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“…These factors include the characteristics of the vehicle (e.g., weight, air and rolling resistance), route and driving characteristics (e.g., gradient, speed, number of stops), and the amount of goods transported (Eichlseder et al 2009). In order to estimate the emissions, a number of different models requiring detailed inputs have been developed as shown by Demir et al (2011) and Demir et al (2014). Besides these detailed microscopic models, emission calculators (macroscopic models) based on real-world measurements and recommended values for a typical vehicle are also available (see e.g., Boulter and McCrae 2009;IFEU 2011).…”

Section: Modeling Carbon Dioxide Equivalent Emissionsmentioning

confidence: 99%

“…CO 2 e emissions cause atmospheric changes and climate disruptions which are harmful to the natural and built environments, and pose health risks (Dekker et al 2012;Demir et al 2014;Bektas et al 2016).…”

Section: Modeling Carbon Dioxide Equivalent Emissionsmentioning

confidence: 99%

Hybrid simulation and optimization approach for green intermodal transportation problem with travel time uncertainty

et al. 2016

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The increasing volumes of road transportation contribute to congestion on road, which leads to delays and other negative impacts on the reliability of transportation. Moreover, transportation is one of the main contributors to the growth of carbon dioxide equivalent emissions, where the impact of road transportation is significant. Therefore, governmental organizations and private commercial companies are looking for greener transportation solutions to eliminate the negative externalities of road transportation. In this paper, we present a novel solution framework to support the operational-level decisions for intermodal transportation networks using a combination of an optimization model and simulation. The simulation model includes stochastic elements in form of uncertain travel times, whereas the optimization model represents a deterministic and linear multi-commodity service network design formulation. The intermodal transportation plan can be optimized according to different objectives, including costs, time and CO 2 e emissions. The proposed approach is successfully implemented to real-life scenarios where differences in transportation plans for alternative objectives are presented. DOI 10.1007/s10696-016-9267-1 show that the approach is capable of delivering reliable solutions and identifying possible disruptions and alternatives for adapting the unreliable transportation plans.

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A review of recent research on green road freight transportation

Cited by 584 publications

References 60 publications

An adaptive large neighborhood search heuristic for the Pickup and Delivery Problem with Time Windows and Scheduled Lines

An adaptive large neighborhood search heuristic for the Pickup and Delivery Problem with Time Windows and Scheduled Lines

Una Solución al Enrutamiento de Vehículos en Ciudades Montañosas Considerando Aspectos Ambientales y Económicos

Hybrid simulation and optimization approach for green intermodal transportation problem with travel time uncertainty

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