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Canadian Modal & Cross Border Commodity Flow Forecasts
by Hazem Ghonima



English
8 x 10.5, Published March 2006 by TAF Consultants

Price: $250.00
  Download PDF File
 

 

 

 


This study is a comprehensive 2006 revision of the Commodity Flows Forecast study which was prepared for Transport Canada by TAF Consultants of Ottawa, Canada in March 2004. The study required the development of comprehensive modal (marine, rail and for-hire trucking) commodity flows analysis and forecasts to the year 2020, including the development of forecasts of expected cross-border rail and for-hire trucking trade flows at selected Canada-US border-crossing points.

CONTENTS

1.0 INTRODUCTION

Objective
Background

2.0 APPROACH AND METHODOLOGY

3.0 ECONOMIC & FORECAST ASSUMPTIONS

3.1    Global Forecast Assumptions
3.2    Canadian & U.S. Economic Forecast Assumptions
3.3    Assumptions Related to Commodity/Group
3.4    Impact of Policy, Regulatory & Infrastructure Changes in Canada
3.5     Modal Forecast Factors and Issues

4.0 TRAFFIC FLOW FORECASTS BY MODE

4.1     For-Hire Trucking

4.1.1   Trucking Traffic Forecasts in Tons
4.1.2   Trucking Traffic Forecasts in Tons-Kilometers
4.1.3   Intra-Provincial Trucking Flows
4.1.4   Inter-Provincial Trucking Loadings
4.1.5   Inter-Provincial Trucking Unloadings
4.1.6   Trucking U.S. Trade Flow Forecasts
4.1.7   Border Crossing Points

4.2     Rail

4.1.8   Rail Traffic Forecasts in Tons
4.1.9   Rail Traffic Forecasts in Tons-Kilometers
4.1.10 Rail Commodity Flow Forecasts
4.1.11 Intra-Provincial Rail Flows
4.1.12 Inter-Provincial Rail Loadings
4.1.13 Inter-Provincial Rail Unloadings
4.1.14 Border Crossing Points

4.3     Marine

4.1.15  Marine Traffic Forecasts in Tons
4.1.16
 Marine Traffic Forecasts in Tons-Kilometer
4.1.17  Marine Trade Forecasts by Sector
4.1.18
 Marine Commodity Flow Forecasts

APPENDIX:

A:  Sources of Information
B:   Definitions of Terms & Abbreviations
C:   Commodity Classification

For information on discounts for bulk purchases please send an email to: ghonima@tafis.com


 
 
 
 

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