FCD-Based Investigation of the Potential Rail-Road Freight Demand: Methodological and Applicative Aspects

Freight transportation is one of the key areas of transport planning; it is a complex field that requires appropriate tools in order to analyse the mechanisms underlying the transportation process. A fundamental task in freight transportation planning is to quantify and forecast freight vehicle demand between origin-destination pairs, including the prediction of the use of different transport modes and services, if available. For this reason, this work aims at: • determine the potential market and the traffic forecasts of a rail-road intermodal node on the base of truck Origin-Destination (O-D) matrices; • experiment a new methodology for truck O-D matrix estimation, based on Automated Vehicle (AVM) data. This study focuses on the freight intermodal node of Padua, a city in Veneto Region (a region with industrial vocation in the north-west of the Italy). The freight village of Padua has an area of about 1.1 Millions of square-meters, handles about 275,000 TEUs per year and manage 5,500 trains per year. Padua freight village plays the role of land terminal of the Venice port container terminal, providing a set of links by train with the rest of the Italy. In the current situation, no semi-trailers services are provided. In order to develop also semi-trailer intermodal traffic, an analysis of potential freight volumes attracted is needed. For this reason, a procedure to forecast the potential Padua road-rail semi-trailer demand at short-medium time horizon (5 years) has been developed. Starting from AVM data and traffic counts, it provides as output the potential average daily O-D matrix of semi-trailers that could use the Padua rail-road intermodal node. In particular: • from AVM data an initial partial truck O-D matrix is developed (it is a sample matrix); • a correction of previous matrix is made by using road traffic counts; • the matrix is filtered in order to obtain the potential rail semi-trailer O-D matrix. Some AVM data on the movements of heavy freight vehicles (i.e. laden weight greater than 18 tons) operating in the Veneto region were analysed in order to identify the origin and the destination of the performed travels. The available database consists of 60 working-day observations within six months (January - June 2018) in different working days. For each sampled vehicle, the information form contains the basic vehicle data (vehicle class, make, model, and so on). After cleaning up the database, the remaining data were processed in order to investigate O-D pairs of about 900 vehicles were corresponding at about 27,000 trips undertaken in the above 60 days. The potential freight flows for freight village has been estimated by means of a modal choice model. Results of this research are presented in details. They demonstrate that the introduction of semi-trailers service has the effect of both strengthening the existing services, and introducing new rail services towards new destinations.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Bibliography; Figures; Tables;
  • Pagination: 18p
  • Monograph Title: European Transport Conference 2020

Subject/Index Terms

Filing Info

  • Accession Number: 01765158
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Feb 19 2021 10:31AM