Keith Vodden Dr. Douglas Smith - Transports Canada

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Appendix A—Detail on Calculations of the Ontario Model wait times. A useful rule of thumb is $0.30 to $0.32 per pound of vehicle towed. So an average automobile of 1,500 lbs is $450 to $500 and a large truck is $15,000 to $30,000. Since large trucks make up only 2% (17,849 of 853,902) of vehicles involved in collision in 2004 and commercial vehicles are more likely to be self insured (not covered by insurance claims, we make the simplifying assumption that most vehicles requiring tows will be automobiles or light trucks with an average tow charge of $500 in 2004. Based on these costs per tow and the number of tow truck services presented earlier we estimate the social costs of tow truck services in 2004 at $95.6 million. 8. Property damage and other losses generally covered through insurance Property damage caused by motor vehicle collisions is generally covered through the insurance claims of involved parties. In addition, claims cover a number of other incurred losses due to the collision such as tow trucks, damaged vehicle storage, car rental, or hotel accommodation. We include these losses (other than tow truck services discussed earlier) attributable to the motor vehicle collision in our estimate of property damage and other losses generally paid for through insurance claims. We also include the claims and adjustment expenses incurred by insurance companies and recorded in the data available to us from the Insurance Bureau of <strong>Canada</strong> (IBC). As a final note on coverage, we do not estimate property damages that would be borne by the “at-fault” driver as the deductible not reimbursed under collision and all perils claims. This deductible not included in the claims payouts is included in out-of-pocket expenses discussed in another section. Property damage and the other losses discussed earlier are covered under the third party liability, collision and all perils insurance coverage of insured parties 1 . In addition a special insurance fund covers claims against uninsured (or unidentified) automobiles and under-insured drivers. However, claims within some of these categories may also include other items not relevant to our estimate of the social cost of motor vehicle collisions. For example: • Third party liability includes claims for bodily injury. • All perils include comprehensive coverage (fire, theft). • Uninsured automobiles include claims for bodily injury and death. In addition, some vehicle owners self-insure (do not have coverage for collision damage to their vehicle if they are found to be “at fault”). We include the proportion of commercial vehicles that self-insure based on the proportion without some form of collision coverage beyond mandated third party liability in our analysis. (Loses to private 1 We include coverage of private passenger vehicles and motorcycles, commercial vehicles, farmers, snow machines, buses, ambulances, interurban trucks, trucks for hire, taxicabs, miscellaneous public automobiles (rental cars), and other types of specialty vehicles. TNS Canadian Facts, Social and Policy Research 145
Analysis and Estimation of the Social Cost of Motor Vehicle Collisions in Ontario individuals who self-insure will be captured by out-of-pocket expenses estimated below.) Finally claims related to snow machines may not involve a motor vehicle or be HTA reportable. Exhibit A-20 presents the adjustment factors we use in the analysis to move from data supplied to us by the IBC of claims in 2004 1 to estimates of property damage and other losses discussed earlier. Exhibit A-20 Adjustment factors used to bring Insurance Claims Payouts to appropriate social cost coverage Reduction factor Augmentation # of claims (1) $ of claims (2) factor (4) Third party liability 0.9 0.3 All perils 0.3 0.3 Uninsured automobile 0.9 0.3 Snow machine (3) 0.1 0.2 Collision/all perils for: - Commercial automobile 1.27 - Interurban trucks 1.56 - For-hire trucks 3.02 - Taxicabs 5.00 - Public buses 5.19 - School/hotel/camp buses 4.59 - Funeral carriages/hearses 1.66 - Ambulances 1.79 - Miscellaneous 4.48 - Garages/automobile dealers 3.30 Notes: (1) proportion of claims expected to include property damage (2) proportion of claim value expected to include property damage (3) also reflects proportion that are expected to involve a motor vehicle and be HTA reportable (4) to reflect proportion that self-insure To interpret Exhibit A-20, reduction factors reduce claims data to reflect the component (either number or dollar value of claims) that is related to our coverage (property damage or related losses) and HTA reportable involving a motor vehicle (in the case of snow machines). The augmentation factors reflect that portion of commercial vehicles that self-insure. This is measured as the number of written policies for third party liability (a regulated requirement) divided by the sum of all perils and collision policies (voluntary). This is used to estimate the degree of property damage and related losses that are covered by the commercial enterprises (self-insurers) instead of through 1 Not all losses identified in the data were incurred at the time the data were assembled (May 2005). The data include adjustments to reflect expected payouts based on historical data. 146 TNS Canadian Facts, Social and Policy Research
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TP 14800F Analysis and Estimation o
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APPENDIX A: DETAIL ON CALCULATIONS
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• Large truck. Collisions involvi
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ABBREVIATIONS CAC Criteria Air Cont
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Analysis and Estimation of the Soci
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III ONTARIO MODEL This chapter desc
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Ontario Model redistribution. Simil
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Ontario Model • Pedestrian Injure
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Ontario Model Based on this analysi
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Ontario Model Step 3 Allocate addit
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Ontario Model damaged based on this
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Ontario Model 1. Number of total an
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Ontario Model 2.99; specialist—1.
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Ontario Model 5. Tow trucks Tow tru
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Ontario Model Exhibit III-5 Core WT
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Ontario Model We combine this value
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Ontario Model 6. Ambulance The Onta
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Ontario Model individuals who self-
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Ontario Model threatening injury, p
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Ontario Model d) Additional Polluti
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Ontario Model VARIABLE DATA LOST TI
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Ontario Model We have no data to gu
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V ONTARIO SUB-MODELS AND THEIR SOCI
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Ontario Sub-Models and Their Social
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Page 200 and 201: APPENDIX E: REFERENCES Audrey, J. a
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