Simplified Transport Modelling in Low Density Areas
At a time when institutions are involved with the issue of energy transition, the policy of controlling energy consumption and greenhouse gas (GHG) emissions has been applied at all levels. In particular, small towns and sparsely populated areas are now involved in drawing up a climate-air-energy plan, and in the development of green, shared mobility. As the transport sector is the largest emitter of GHGs, the study of travel needs and transport offerings is a key asset for the implementation of energy transition measures. However, dwindling public finances make it increasingly difficult to purchase data to support these studies. Large urban areas can get together the funds needed for a large-scale, thorough investigation of travel needs. These data collections then allow tried and tested modelling tools to be used. Outside this type of area, data resources are very limited: no cordon surveys, no or only partial household surveys, etc. In general, building a travel model requires a long, unique and non-replicable approach, because it is specific to the area and the needs expressed. The objective of this work is therefore to develop systematic modelling methods and tools that are easy to use, and especially sparing in the use of expensive data, for the less urbanized or rural areas. For the needs of the study of a road infrastructure near Vesoul (an urban area of 35,000 inhabitants), a collection of traffic data was ordered in the region. This consisted of a counting and flow measurement campaign by means of number plate readings (NPR). This data made it possible to reconstruct the demand for road trips in the urban area. The authors took advantage of the data collected in the Vesoul area to make it into a case study for a "simplified" modelling approach. The present work includes methodological proposals to reconstruct the demand, reducing the use of expensive data, such as the NPR survey as much as possible. The matrices obtained in "depleted" data situations are compared with the matrices obtained using all the available data, with the aim of assessing this simplified model. This assessment is complemented by the road infrastructure test using the simplified model, the results of which are compared with those of the assessment produced with the "conventional" model. The results of this work provide a development basis for modelling solutions in less urbanized areas. The Vesoul case study shows the potential and the limits of such a "simplified" modelling approach. It helps to determine the extent to which these solutions can be replicated in similar areas, and produce sufficiently reliable and robust assessments. Ultimately, this exploratory approach aims to provide new tools for decision-making support. The stakes are diverse, but one example that can be mentioned is the emergence of mobility projects as alternatives to single-occupancy cars in sparsely populated areas.
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Supplemental Notes:
- Abstract used by permission of Association for European Transport.
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Corporate Authors:
Association for European Transport (AET)
1 Vernon Mews, Vernon Street, West Kensington
London W14 0RL, -
Authors:
- Raballand, Wilfried
- Laharotte, Pierre-Antoine
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Conference:
- European Transport Conference 2019
- Location: Dublin , Ireland
- Date: 2019-10-9 to 2019-10-11
- Publication Date: 2019
Language
- English
Media Info
- Media Type: Digital/other
- Pagination: 9p
- Monograph Title: European Transport Conference 2019
Subject/Index Terms
- TRT Terms: Data collection; Decision making; Energy conservation; Flow measurement; Greenhouse gases; Infrastructure; Low density; Rural areas; Shared mobility; Small towns; Traffic models
- Geographic Terms: France
- Subject Areas: Data and Information Technology; Energy; Environment; Finance; Highways;
Filing Info
- Accession Number: 01753732
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 29 2020 11:19AM