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

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Summary

Executive 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

Introduction
Assumptions
TCOD Survey
Database Sorting
Spatial Join
Characteristics Development
CVS Origin and Destination Trips
CVS Intra-Municipal
TCOD Survey Origin and Destination Trips
TCOD Survey Intra-Municipal Trips
Density Map Comparison between TCOD and CVS
Point Density Maps
GGH Comparison
Origin Distributions
Destination Distributions
Recommendations
Section 4.1
CVS data was collected in 2006 and TCOD data in 2010
During the analysis a potential outlier was identified in
The CVS shows higher densities than TCOD for several municipalities along
The CVS commodity distribution for
The CVS could put more effort toward capturing freight transport of manufactured products arriving in Toronto
Findings
Conclusion

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