Title: EMISSIONS MODELLING WITH A SIMPLE TRANSPORT MODEL
Abstract: This paper reports recent developments of the LEeds Freight Transport Model (LEFT), carried out as part of the EPSRC-funded ‘Green Logistics’ project. This project examines the sustainability of logistics systems and supply chains and is currently being undertaken by a consortium of 6 UK universities, supported and steered by a range of project partners including the Department of Transport and CILT(UK). The LEFT3 model is a strategic policy testing model that looks at the impacts of cost changes on (road plus rail) market size (tonne-km), mode split, and vehicle km. It is described briefly in section 2. Our remit from the Green Logistics project is to deliver a range of enhancements, leading to the development of LEFT4, in order to provide better future forecasts of freight volumes and their economic and societal impacts based on a wider range of sustainability initiatives implemented by governmental bodies and others. This paper reports our work on developments in LEFT required to meet the objectives of the Green Logistics project: • Recalibration to 2006 data. Rail and rail data has been obtained and work is currently underway interpreting and processing this data into a suitable format for use in the model. There is a brief report in Section 2. • For supply chain effects, we really need Production/Consumption (P/C) data rather than Origin/Destination (O/D) data, which is what is usually available. P/C matrices establish trade links between places of production and intermediate or final consumption and permit a study of the effect of policies on the number and location of depots, and the pattern of their use. Some treatment of that would greatly strengthen the supply-chain modelling compatibility of LEFT. The paper reports our progress starting with the construction of a Gravity Model for Food Drink and Agriculture, using regional employment in those industries as the generator and regional population as the attractor with a simple separation function based on distance in place of cost. This work is reported in Section 3.
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: article
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Cited By Count: 2
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