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Wednesday, October 7, 2020 | History

3 edition of Forecasting the demand for freight transport in Canada found in the catalog.

Forecasting the demand for freight transport in Canada

M. B. Cairns

Forecasting the demand for freight transport in Canada

a time series approach : report on phase three of the program

by M. B. Cairns

  • 209 Want to read
  • 17 Currently reading

Published by Canadian Transport Commission, Research Branch, Economic and Social Research Directorate in Ottawa .
Written in English

    Places:
  • Canada.
    • Subjects:
    • Freight and freightage -- Canada.,
    • Business forecasting.,
    • Time-series analysis.

    • Edition Notes

      Includes bibliographical references.

      Statementby M. Cairns, R. Lee, G. Hariton.
      SeriesResearch reports - Research Branch, Canadian Transport Commission ; no. 10-78-21, Research reports (Canadian Transport Commission. Research Branch) ;, no. 10-78-21.
      ContributionsLee, R., joint author., Hariton, George, joint author.
      Classifications
      LC ClassificationsHE199.C2 C3
      The Physical Object
      Paginationxix, 196 p. :
      Number of Pages196
      ID Numbers
      Open LibraryOL4478308M
      ISBN 100662900847
      LC Control Number79306143

        In this paper we review freight forecasting models and current advances and needs with respect to data and model development. We then present a case study to suggest which models should be developed for the State of California in the US. We suggest several alternatives including an aggregate commodity flow model, a disaggregate regional logistics Cited by: apparently, transport demand is governed by different laws in the different systems. Second, a clear contrast is evident between the behavior of freight transport by road and by rail. When applied to road transport, the explanatory power of the model is hardly affected by the addition.

      Browse Demand Planning and Transportation content selected by the Supply Chain Brief community. Top content on Demand Planning and Transportation as selected by the Supply Chain Brief community. Input your email to sign up, or if you already have an account, log in here! Forecasting/Demand Planning. MORE. NZIER report -Transport demand forecasts 1 1. Transport demand growth This report summarises forecasts for land transport demand over the next 20 years. The forecasts are broken down by travel demand (Section 2) and freight demand (Section 3). Travel demand is further broken down into: light vehicle travel; public.

      Freight Transport Modelling is a unique new reference book that provides insight into the state-of-the-art of freight modelling. Focusing on models used to support public transport policy analysis, Freight Transport Modelling systematically introduces the latest freight transport modelling approaches and describes the main methods and techniques used to arrive at operational . 2. Forecasting freight demand at intermodal terminals – problem characterisation The main function of a container port terminal is to provide transfer facilities for containers between sea vessels and land transportation modes, trucks and rail in particular. It is a highly complex system that involves numerous stakeholders (e.g., port.


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Forecasting the demand for freight transport in Canada by M. B. Cairns Download PDF EPUB FB2

Get this from a library. Forecasting the demand for freight transport in Canada: a time series approach: report on phase three of the program. [M B Cairns; R Lee; George Hariton]. Get this from a library. Econometric forecasting model demand for freight transport in Canada: report on phase two of the program.

[George Hariton; Richard Lee, Dr.; Uri Zohar]. In recent years, many governmental agencies and private companies came to a growing realization of the need for accurate forecasting freight volumes as part of the travel demand forecasting process.

Freight demand forecasting is a complex process and has not been explored in the same degree as travel demand forecasting for passenger vehicles.

Accurate forecasting of the total passenger and freight demand and the competitive (or substitutive) and complementary relationships among transport modes are necessary inputs in.

Freight Demand Freight transport demand is a derived demand – Related to the volumes of goods produced and consumed – Location of suppliers and consumers is critical – Freight flows shift with • New sources of and uses for materials • New locations for manufacturers and retailers • New products and specialized transport 9File Size: KB.

a guidebook for forecasting freight transportation demand This report provides reference information on freight transportation planning processes, techniques, tools, data, and applications.

The report is organized in a Guidebook format to assist planning practitioners and policy analysts to effectively integrate freight planning and demand.

needs for freight forecasting tools [2]. Understanding the opportunities and challenges associated with freight demand modeling is an issue of great importance in transportation planning. The selection of a suitable model for forecasting freight traffic demand is also of major interest.

The review of existing freight demand modeling methodsFile Size: 4MB. Freight Forecasting Model The principle tool of forecasting is FTR's award-winning Freight•cast. This critically acclaimed freight forecasting model was first constructed in the s and was later enhanced in the late 90s.

This model was developed by estimating the movement of (virtually) all items with weight in the economy, measuring. transport demand was determined very differ- ently in their systems than the market econo- mies.

The contrasts are almost entirely ex- plained by the differences in role of, and demand for, rail transport in the different eco- nomic systems. The road sector of freight transport, on the other hand, conforms closely to norms in the. Estimating models and forecasting are carried out based on annual data of domestic freight volume and an index of industrial production during ~ 1.

• A Freight Demand Modeling and Data Improvement Strategic Plan, which outlines seven strategic objectives that are designed to serve as the basis for future innovation in freight travel demand forecasting and data, and to guide both near- and long-term implementation.

rail freight demand decreased until and has recovered since. We will focus on the road plus rail freight demand in this study. Due to the dominant role of road and rail in the GB freight transport sector, modelling and forecasting GB road plus rail freight demand can provide useful.

However, we also consider niche transportation industries, such as intercity bus transport and cruise industry, as these industries also employ demand forecasting in their business planning. We define scheduled transport as a routine vehicle movement between two or more points at pre-scheduled times, transporting passengers and/or by: 1.

If present policies and technological trends continue (a), freight transport is projected to continue to grow worldwide. In the Pan-European region the most significant growth is expected in Eastern Europe, while worldwide a more rapid increase is projected in the fast-growing economies of China and India.

Worldwide road transport is expected to grow faster than rail transport. This is. Transportation Demand Forecasting.

Information Resource Center. Welcome. This website provides a gateway to information and resources pertaining to demand forecasting techniques.

This site is part of TRB’s Information Resource Center series, which is made up of more than websites that highlight information on a particular topic area from. only further highlights the potential demand for high-speed freight transport by rail.

Euro/kg (in prices) /07 Shipping 2,4 3,1 % Railroad 2,1 10,1 % Trucking 5,4 9,3 % Air transp8 70,7 % Rail transport has begun to occupy the middle competitive niche between aviation and shipping.

Smith P. () Forecasting freight transport demandThe state of the art. Logistics and Transportation Review ), Varian Hal () Microeconomic Analysis. Norton Press, New York. Vinod H. () Forecasting the Freight Demand by Stages. In Studies on the Demand for Freight Transportation: Volume by: TRB’s second Strategic Highway Research Program (SHRP 2) Report S2-CRR Freight Demand Modeling and Data Improvement documents the state of the practice for freight demand modeling.

The report also explores the fundamental changes in freight modeling, and data and data collection that could help public and private sector decision-makers make better and. Entering and exiting freight demand (attractions and productions) by zone. Mode Split.

Zonal O/D freight demand. Traffic Assignment. Zonal O/D freight demand by shipping mode Traffic flow, average speed on each link. Four-step freight commodity transportation demand forecasting model (NCHRP Report) domestic Freight Analysis.

Many current freight demand forecasting models and data sources are more appropriate for passenger transportation than for forecasting freight movements and understanding freight travel behavior.

Freight data and modeling tools used in planning could also benefit from a single clearinghouse for freight information. In the first approach, two separate forecasting models were developed, one for the United States-to-Canada flows and the other for the Canada-to-United States flows.

The derived Canada-to-United States value was then subtracted from the corresponding United States-to-Canada forecast to calculate the predicted net international movement.Freight transport demand is defined as the amount of inland tonne-kilometres travelled every year in the EEA According to the latest metadata, inland freight transport includes transport by road, rail, inland waterway, air and maritime.

Transport via rail and inland waterway is based on movements within national territory ('territoriality principle'), regardless of the nationality of the.What determines demand for freight transport? (English) Abstract. Decisions about investments in the long-lived assets of transport infrastructure require some assumptions about prospective long-term demand from services using that infrastructure.

To improve the basis for such predictions, the authors estimated the Cited by: