•An extensive analysis of factors affecting fuel consumption is provided.•Freight transportation vehicle emission models are reviewed.•Routing problems with fuel consumption components are ...investigated.•A systematic review of 58 publications on green logistics is carried out.
Road freight transportation is a major contributor to carbon dioxide equivalent emissions. Reducing these emissions in transportation route planning requires an understanding of vehicle emission models and their inclusion into the existing optimization methods. This paper provides a review of recent research on green road freight transportation.
•We give an overview of the multimodal transportation literature from 2005 onward.•We approach the papers on strategic, tactical, and operational levels of planning.•We discuss multimodal, ...intermodal, co-modal, and synchromodal transportation.•We conclude our review paper with future research directions.
Multimodal transportation offers an advanced platform for more efficient, reliable, flexible, and sustainable freight transportation. Planning such a complicated system provides interesting areas in Operations Research. This paper presents a structured overview of the multimodal transportation literature from 2005 onward. We focus on the traditional strategic, tactical, and operational levels of planning, where we present the relevant models and their developed solution techniques. We conclude our review paper with an outlook to future research directions.
In recent years, there have been recurrent disruptions in global freight transportation shipping, prompting a focus on the need for increased resilience in the freight transportation network. Against ...this backdrop, the China-Europe Railway Express, an emerging alternative to shipping, has gained improvement. In light of these developments, an assessment of the resilience of the integrated China-Europe Freight Transportation Network (CEFTN) under disruptive influences has become crucial. In response to this necessity, this paper puts forward a generalized cost-based assessment system considering heterogeneous freight demands for evaluating the resilience of the CEFTN. In the case study, we not only conduct a series of sensitivity analyses to discover the impact of proportion of heterogeneous demands, freight charges, and duration time of disruptions on the system resilience, but also give a variety of detailed resilience analyses under different disrupted scenarios including system failures, natural disasters, geopolitical impact, and deliberate attacks. Through our analysis, we find that an increase in freight charges during disruptions could potentially improve the CEFTN resilience due to the effect of high time-value freight demands replacing low time-value freight demands. Moreover, strategies such as adjusting the freight flow, safeguarding critical links, and implementing different measures in different nodes are identified as additional measures to improve the resilience of the CEFTN.
Among various operational decision-making tasks in a transportation system, sustainable performance evaluation has a very promising and direct influence on the community as well as environment. To ...prevent and reduce the negative impacts of a freight transportation system, a constant monitoring and performance measurement system has of paramount significance in the process of supply chain management. However, studies of complex transport evaluation systems are very scarce in the existing literature. This paper aims to resolve the problem of freight transport system's performance measurement while developing a comprehensive framework with incorporation of sustainable elements and establishing a rough set-based decision-making approach. The applicability of the proposed framework is investigated to evaluate the performance of seven freight transportation companies in Spain. A decision support tool is designed by integrating rough number-based decision-making trial and evaluation laboratory (DEMATEL) and multi-attributive border approximation area comparison (MABAC) methods for their performance appraisal. Sensitivity analysis and comparison with other popular methods are also performed to validate the efficacy of the proposed approach. It is established that rough number-based methodologies have advantages over fuzzy or interval-based models.
Working from home becomes the norm; this trend has put added pressure on urban logistics, as large volumes of goods and services are required for domestic use. Meanwhile, public transport operators ...face a big challenge and trade-off due to higher labour and frequent cleaning costs, with lower passenger revenue over a longer period. Considering the collaborative urban public transport services achieve a seamless movement for both passengers and goods, and could reduce the adverse effects of the existing urban public transport systems. Therefore, a mixed-integer linear programming model introducing the concept of capacity matching is proposed to assist this collaborative urban freight service network in minimising total freight transport time at station hubs and not affecting passenger transportation in this paper. Moreover, an efficient improved optimisation algorithm based on the Artificial Bee Colony Algorithm (ABC) is designed, and the numerical examples and real cases are illustrated to demonstrate the feasibility and effectiveness of the proposed model and algorithm. The performance evaluations suggest that the coordinated operating strategy of the collaborative freight transportation system supports increasing mobility demands for freight, resulting in declining congestion levels and reducing transport emissions, while no influence in passenger transport, notably in urban areas.
The dynamic and complex interactions between the urban freight-transportation system and population, economy, traffic flow, fuel consumption, and environmental pollution, make policymaking in this ...system one of the fundamental challenges of urban management. In this regard, a systemic approach in urban freight-transportation system modelling should be considered to solve the problems of the system. One of the main problems of this system is the mismatch between the freight-transportation capacity and the total freight-transportation demand. Considering the lack of sufficient studies in the field of macro and quantitative modeling of this system, the main goal of this article is to model the urban freight-transportation system in order to identify the factors affecting the urban freight-transportation demand and capacity. The main focus of the research is to develop quantitative scenarios which balance the freight-transportation capacity and freight-transportation demand. The urban freight-transportation system is modelled by the System Dynamics (SD) approach and their basic behaviors; as well as this the results of some policy-making scenarios are simulated. The model is validated by the real data of Shiraz. Five quantitative scenarios are designed with two approaches of managing the freight-transportation demand and freight-transportation-capacity sectors. The scenarios are based on four control variables, including the distribution coefficient, trip numbers, vehicle capacity, and vehicle numbers. The simulation results show that the total gap between freight-transportation capacity and freight-transportation demand will decrease by optimizing each of the control variables. However, the combined scenario is the most applicable policy in order to maintain the balance between freight-transportation capacity and demand. Generally, the proposed model can be used to design different quantitative scenarios in order to optimize the freight-transportation system’s performance. This study can also help policymakers to manage the urban freight-transportation system more efficiently.
Purpose
A sustainable freight transportation system involves freight processes that are economically efficient, socially inclusive and environment friendly. For enhancing sustainability in the ...freight operations, mode selection is a crucial strategic decision. Therefore, the purpose of this paper is selecting the best mode, or a combination of modes based on various criteria to carry shipments from origin to destination.
Design/methodology/approach
This study has used an integrated grey relational analysis based intuitionistic fuzzy multi-criteria decision-making process (GRA–IFP) and fuzzy multi-objective linear programming model. Three scenarios have been developed for analyzing sensitivity of decision variables with the variations in parameters under relevant conditions. A real case of Indian third-party logistics service provider has been used to demonstrate the effectiveness of the model.
Findings
The most relevant criterion emerged out in this study for multi-mode selection problem is costs. It can be concluded from the study that multi-modal freight transportation has the potential to improve the sustainability of freight transportation by reducing the costs, damages, emissions, traffic congestion and by increasing the speed of delivering the shipment. The sensitivity analysis further shows that road is the economical mode, whereas sea and rail together are the greenest as well as socially responsible modes of transportation.
Originality/value
This study provides an integrated tool, which can be used by freight transporters to decide upon the sustainable modes of transportation for their various shipments.
This research aims to observe Road Freight Transportation Business and examine Road Freight Transportation Business Operator’s Perception toward Electric Vehicle Adoption in Nakhon Pathom, Thailand. ...This research applies purposive sampling; 35 entrepreneurs with a minimum 3-year experience operating small and medium enterprises in Nakhon Pathom during January, 2022.The researchers collect information using in-depth interviews and analyze information by content analysis. Most respondents agree that electric vehicles are not appropriate for the transportation business today. Some state that electric vehicles may be appropriate for local transportation or in-house operation. The possibility of investing in electric vehicles is directly related to technology-related infrastructure, which in today's economy, is challenging to invest in by small or medium-sized businesses. The growth direction of electric vehicles for transport businesses in Thailand will grow gradually as electric vehicles enter the market in Thailand. Adopting Electric vehicle technologies for transportation business in Nakhon Pathom related to Electric vehicle infrastructure development which relies on government or large private company investments.
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