摘要: |
Truck information is one of the important inputs for a sound pavement analysis,design,maintenance and management.While more efforts have been directed towards development of more accurate design methods,such as the new Mechanistic-Empirical Pavement Design Guide (MEPDG) developed under NCHRP project 1-37A and other sophisticated pavement performance prediction models,less have been done to enhance techniques for forecasting truck traffic especially at the provincial level.This study utilizes a combination of national/provincial Input-Output models,commodities values and payload factors to develop freight generation model for the Province of Alberta.The developed model can be used for truck trip forecasting as well as truck loading estimation.According to this study,in 2006,more than 300 million tonnes of goods or commodities were supplied in Alberta.When compared to the results from a study by EBA Engineering Consultants Ltd,the commodity supply derived by this model,gives a difference of about 0.08%.This may indicate that the freight generated by the model is reasonable for the subsequent modeling steps.The derived commodities have been disaggregated to 452 Traffic Analysis Zones using employment data that were extracted from Canadian Business Patterns.A study to allocate the derived freight quantities in terms of their modes is expected to be done soon so as to establish the truck mode share and convert commodity weights into truck trips using payload factors.Once the full study is completed,it is expected to be a good starting point for developing province-wide freight demand models in Canada. |