Light Freight Railway (LFR) as an innovative solution for Sustainable Urban Freight Transport

Pietrzak, Krystian; Pietrzak, Oliwia; Montwiłł, Andrzej

doi:10.1016/j.scs.2020.102663

Cited by 21 publications

(9 citation statements)

References 111 publications

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“…Rail transport has greater possibilities to modify the time of task completion. It is possible to set different routes for the train, which is also closely related to the cost criterion due to the different rates for using the infrastructure [37]. Rail travel time is also related to the availability of infrastructure in a given country and the degree of bureaucracy in permitting train journeys.…”

Section: Timementioning

confidence: 99%

Comparative Analysis of Long-Distance Transportation with the Example of Sea and Rail Transport

Neumann

2021

Energies

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The subject of the article is a comparative long-distance transport analysis based on the relationship between central and eastern China and Poland. It provides an overview of issues related to long-haul China–Poland. The technique for order of preference by similarity to ideal solution (TOPSIS) method was proposed in the multi-criteria analysis. This method was briefly discussed, and its choice was justified. Then, the criteria adopted in the analysis were presented, i.e., time, cost, maximum number of containers, and ecology index. Multi-criteria analysis was carried out for three cases: the transport of one loading unit, 82 loading units, and 200 loading units. The geopolitical and operational situation on the transport route for the analyzed modes of transport was discussed.

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Section: Timementioning

confidence: 99%

Comparative Analysis of Long-Distance Transportation with the Example of Sea and Rail Transport

Neumann

2021

Energies

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“…The significance of the research is that by measuring and evaluating the green and low-carbon efficiency of logistics, the quantification of the green and low-carbon efficiency of logistics can also be used to monitor and assess the effects of government policies and measures, to promote the development of the logistics industry in a green and lowcarbon direction, implement the "double Carbon" policy and the goal of sustainable development, and timely put forward corresponding improvement measures to promote the formation of a dynamic and long-term feedback mechanism between industry, academia, and research. For the Beijing-Tianjin-Hebei urban agglomeration, the efficient operation of green and low-carbon logistics will not only help protect the environment and improve air quality but also help promote economic development and improve urban competitiveness [5,6]. By using SBM-DEA (Slack-Based Measure Data Envelopment Analysis) [7] and the For the Beijing-Tianjin-Hebei urban agglomeration, the efficient operation of green and low-carbon logistics will not only help protect the environment and improve air quality but also help promote economic development and improve urban competitiveness [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…For the Beijing-Tianjin-Hebei urban agglomeration, the efficient operation of green and low-carbon logistics will not only help protect the environment and improve air quality but also help promote economic development and improve urban competitiveness [5,6]. By using SBM-DEA (Slack-Based Measure Data Envelopment Analysis) [7] and the For the Beijing-Tianjin-Hebei urban agglomeration, the efficient operation of green and low-carbon logistics will not only help protect the environment and improve air quality but also help promote economic development and improve urban competitiveness [5,6]. By using SBM-DEA (Slack-Based Measure Data Envelopment Analysis) [7] and the Malmquist product index [8] to analyze the construction of input-output measurement indicators comprehensively, the purpose is to quantify the green and low-carbon efficiency of logistics in the Beijing-Tianjin-Hebei metropolitan area, evaluate its sustainable development level, and monitor the double carbon target green and low-carbonization efficiency level of the logistics industry under the policy.…”

Section: Introductionmentioning

confidence: 99%

Green and Low-Carbon Efficiency Assessment of Urban Agglomeration Logistics Industry: Evidence from China’s Beijing-Tianjin-Hebei Metropolitan Area (2008–2020)

Wang,

Tian

2023

Sustainability

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With the advent of the post-industrial era, the rapid development of e-commerce has propelled the logistics industry to become the lifeline of the national economy, supporting the orderly flow of resource elements between cities. However, the concerning issues of excessive energy consumption and low logistics efficiency in the transportation process have come to the forefront. The introduction of China’s dual-carbon policy goals indicates that enhancing regional logistics’ green and low-carbon efficiency is key to solving the global logistic sustainability problem. Nowadays, the logistics sector’s efficiency in producing green and low-carbon emissions has been quantified using an input-output measurement index. Using data from 2008 to 2020 from the dynamic panel of the logistics sector in the urban agglomerations of Beijing, Tianjin, and Hebei, the three-stage SBM-DEA and Malmquist index quantitative evaluation models are selected to estimate the logistic green and low-carbon development efficiency comprehensively. The analysis discovered that green and low-carbon logistics in the Beijing-Tianjin-Hebei metropolitan agglomeration are relatively efficient overall, and the urban siphon effect of Beijing and Tianjin is noticeable. Once the impact of environmental variables and random errors is eliminated, it becomes evident that these factors tend to inflate the overall technical efficiency. Technical efficiency levels are the primary factor leading to regional logistics inefficiencies. Additionally, it is essential to note that scale efficiency positively affects urban development, leading to a rebound effect, summarizing the existing problems combined with the visualization map, and putting forward corresponding policy suggestions, which is of great practical significance.

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“…Urban freight transport (UFT) is important for cities' operation as it enables products to reach the final consumer, guarantees the delivery of goods and their returns, or removes waste in the last mile [1,2]. Cities have grown rapidly, which has led to increased demands to adequately supply urban centers.…”

Section: Introductionmentioning

confidence: 99%

Opinion of Residents about the Freight Transport and Its Influence on the Quality of Life: An Analysis for Brasília (Brazil)

et al. 2022

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Urban Freight Transport (UFT) is responsible for moving goods in urban areas to meet citizens’ demands, which makes it essential for economic development. Simultaneously, UFT contributes to adverse impacts on society and the environment, including congestion and pollution. This paper assesses how the urban infrastructure and UFT externalities influence the residents’ quality of life. Three major assumptions were considered: (i) Public managers are responsible for the urban infrastructure, which is also influenced by businesses; (ii) UFT leads to negative externalities, which are influenced by government actions; and (iii) both infrastructure and externalities influence the residents’ quality of life. The analysis is based on a web-based survey conducted with residents of Brasília, Brazil. Structural Equation Modelling with Partial Least Squares was used to analyze the data. Findings showed that the residents’ quality of life is negatively influenced by UFT externalities and positively influenced by the urban infrastructure. Furthermore, both public and private management have more influence on externalities when compared to urban infrastructure. Finally, road capacity, proper loading and unloading, and supervision should be prioritized to improve citizens’ quality of life in Brasília.

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Light Freight Railway (LFR) as an innovative solution for Sustainable Urban Freight Transport

Cited by 21 publications

References 111 publications

Comparative Analysis of Long-Distance Transportation with the Example of Sea and Rail Transport

Comparative Analysis of Long-Distance Transportation with the Example of Sea and Rail Transport

Green and Low-Carbon Efficiency Assessment of Urban Agglomeration Logistics Industry: Evidence from China’s Beijing-Tianjin-Hebei Metropolitan Area (2008–2020)

Opinion of Residents about the Freight Transport and Its Influence on the Quality of Life: An Analysis for Brasília (Brazil)

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