Abstract
Spatial Analysis Of Large Scale Freight Commodity Survey Data For Systems Planning
Highlights
Every year, Ontario’s provincial highways carry $1.3 trillion worth of goods
A relationship between the two databases could allow for Trucking Commodity Origin and Destination (TCOD) survey data to be used to populate the Commercial Vehicle Survey (CVS) database with additional information, without the costs associated with performing a CVS
The main objective of this research project is to sort the TCOD and CVS databases in terms of origin and destination municipalities and transportation assignment zones (TAZ) in the Greater Golden Horseshoe (GGH) and to analyze the characteristics of each
Summary
The Ministry of Transportation Ontario (MTO) Systems Analysis and Forecasting Office (SAFO) presented a case to determine if there is a relationship between the nationally collected Trucking Commodity Origin and Destination (TCOD) survey data and the provincially collected Commercial Vehicle Survey (CVS) data. Though the density trends are similar, the TCOD survey differs from the CVS because it has more data for the outer regions of the GGH This is expected because the CVS is only performed at a limited number of roadside locations while TCOD uses phone, mail and visits to shipping companies to provide extensive coverage of the GGH. The CVS had more data points for a particular municipality or commodity; while other times the TCOD survey had more data This may indicate that finding a relationship which produces a conversion factor that can be applied to the TCOD database to populate the CVS database may be challenging. A regression analysis between the two databases is recommended as it may be able to identify a potential conversion factor between the CVS and TCOD databases
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