992 resultados para ROAD FREIGHT


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Several approaches can be used to analyse performance, energy consumption and CO2 emissions in freight transport. In this paper we define and apply a vehicle-oriented, bottom up survey approach, the so called ‘vehicle approach’, in contrast to a ‘supply chain approach’. The main objective of the approach is to assess the impacts of various freight transport operations on efficiency and energy use. We apply the approach, comparing official statistics on freight transport and energy efficiency in Britain and France. Results on freight intensity, vehicle utilisation, fuel use, fuel efficiency and CO2 intensity are compared for the two countries. The results indicate comparable levels of operational and fuel efficiency in road freight transport operations in the two countries. Issues that can be addressed with the vehicle approach include: the impacts of technology innovations and logistics decisions implemented in freight companies, and the quantification of the effect of policy measures on fuel use at the national level.

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The objective of our research was to analyse the relevant logistic factors influencing energy efficiency in road freight transport, while quantifying the potential for CO2 reduction. We carried out a survey and linked fuel consumption to transport performance parameters in 50 German haulage companies during 2003. Efficiency ranges from 0.8 tkm to 26 tkm for 1 kg CO2 emissions. The results show a high potential for improvements, given a low level of efficiency in vehicle usage and load factor, scarce use of lightweight vehicle design, incorrectly selected vehicle class and a high proportion of empty runs. Efficiency measures are poorly applied.

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This report builds on a conceptual framework developed by McKinnon (2007) for analysing the performance and impacts of freight transport. This framework is used to analyse the performance of road freight transport by heavy goods vehicles (HGVs) in Britain over the period from 1984 to 2007 using data from the Continuing Survey of Road Goods Transport. The efficiency and intensity of HGV operations are assessed. The determinants that have led to the changes in HGV key variables (including length of haul, vehicle carrying capacity, lading factor, empty running) are considered. A forecast of the future level of HGV activity (in terms of vehicle kilometres travelled, fuel consumed and CO2 emissions) in 2020 is presented.

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This report contains detailed analysis of road freight transport by heavy goods vehicles (HGVs) in London and its intensity and efficiency. Using a conceptual framework for analysing the performance and impacts of freight transport it presents results for road freight transport in London between 2005 and 2007.

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This paper examines road freight transport activity and its relationship with facility location, logistics management and urban form through an analysis of 14 selected urban areas in the UK. Improved understanding of this relationship will assist planners when making transport and land use decisions. The findings suggest that several geographical, spatial and land use factors have important influences on freight activity in urban areas. Commercial and industrial land use patterns affect the types and quantities of goods produced, consumed, and hence the total quantity of freight transport handled. This also influences the distances over which goods are moved and by what specific mode. There has been relatively low growth in warehousing in many of the selected areas over the last decade compared to the national average as well suburbanisation of warehousing in some locations. This affects the origin and destination of journeys visiting these facilities and typically increases the distance of such journeys. A greater proportion of road freight has been shown to be lifted on internal journeys in large urban areas than in smaller ones. Journeys within urban areas have been shown to be less efficient than journeys to and from the urban area in the 14 locations studied due to the much smaller average vehicle carrying capacities and lower lading factors for journeys within urban areas. The length of haul on journeys to and from urban areas studied was found to be greatest for those areas with a major seaport and/or which were geographically remote. This affects the road freight transport intensity of goods transport journeys.

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This paper examines the development of road freight transport operations to, from, and within London, from medieval times to the present. Until the twentieth century, road transport was the dominant mode within London but was less important for goods moved between the rest of the country and the capital. However, since the mid-twentieth century, road transport has also dominated goods movements to and from London, mainly through technological developments in goods vehicle speed and size. Since the introduction of a Mayor of London in 2000, there has been much interest in the efficiency and sustainability of road freight transport measures at a London level. Analysis suggests that present day journeys from London generate approximately four times fewer vehicle miles per tonne lifted than in the 1830s and nine times fewer than in the 1690s.

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The purpose of this FAL Bulletin is to provide a comprehensive analysis of safety and security in road freight operations.

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This article provides a new methodology for estimating fuel consumption and emissions by enabling a correct comparison between freight transportation modes. The approach is developed and integrated as a part of an intelligent transportation system dealing with goods movement. A key issue is related to energy consumption ratios and consequent CO2 emissions. Energy consumption ratios are often used based on transport demand. However, including other ratios based on transport supply can be useful. Furthermore, it is important to indicate which factors are associated with variations in energy consumption and emissions; especially of interest are parameters that have a higher incidence and order of magnitude, in order to fairly compare and understand the difference between transport modes and sub-modes. The study finds that the use of an energy consumption equation can improve the quality of the estimates. The study proposes that coefficients that define the energy consumption equation should be tested to determine market niches and sources of improvement in energy consumption according to the category of vehicles, fuel types used, and classes of products transported.