Keith Vodden Dr. Douglas Smith - Transports Canada

More documents

Recommendations

Info

Appendix C—The Value of Human Consequences using Discounted Future Earnings Eh s (n) g r = proportion of the population of sex s and age n that are keeping house = rate of increase of labour productivity (variable, set at 1% to yield the summary data presented below) = is the real discount rate (variable, set at 4% to yield the summary data presented below) PV morbidity = 99 ∑ P i y,s(n) D(n) [Y s(n) Es(n) + Y h s(n) E h s(n)] n=y 365 x (l+g) n-y (l+r)n-y where: PV morbidity = presented discounted value of earnings losses due to injury per person D(n) Pi y,s (n) n Ys(n) Es(n) Yh s (n) Eh s (n) = days restricted activity during the year of a person currently age n = probability that a person of sex s with injury i acquired at age y will survive to age n = future age of the individual (years of age over which the individual is deemed to have lost earnings and household production) = mean annual earnings of an employed person of sex s and age n including value of fringe benefits = proportion of the population of sex s and age n that are employed in the labour market = mean annual imputed value of homemaking services of a person of sex s and age n = proportion of the population of sex s and age n that are keeping house TNS Canadian Facts, Social and Policy Research 169
Analysis and Estimation of the Social Cost of Motor Vehicle Collisions in Ontario g y r = rate of increase of labour productivity (variable, set at 1% to yield the summary data presented below) = age at which the individual was injured = is the real discount rate (variable, set at 4% to yield the summary data presented below) The Excel spreadsheet is used to apply the above calculations to compute discounted lifetime earnings and household production losses for deaths and permanently disabling injuries. (Note: household production losses are calculated using their relationships to earnings in 1993, as described below under “Input Data”; also, the rate of increase of labour productivity does not apply to the calculation of lost household production.) C. SHORT-TERM PRODUCTIVITY LOSS Short-term productivity loss includes both wage loss and household production loss from injuries that did not lead to death or permanent disability. Average daily earnings plus fringe benefits for workers and non-workers is estimated as hours worked per day worked times hourly wage times labour force participation times participants employed times 1.341 (to add fringe benefits, as above). Household production was computed from the 1993 data in a manner parallel to that described above for the lifetime calculations. D. INPUT DATA The input data used by the spreadsheet consist of: • Counts of fatalities and of major, minor, and minimal injuries, by sex and single years of age, for 2004. • Annual employment income per person in Ontario, calculated as P * L * E * Y where: P = the population of Ontario, tabulated at zero years, 1-4, 5-9, fiveyear groups to 84, and 85 and over, from Labour Force Historical Review, 2005, Statistics <strong>Canada</strong> 71F0004XCB. L = the Ontario percentage labour force participation, from Labour Force Historical Review, 2005, Statistics <strong>Canada</strong> 71F0004XCB. 170 TNS Canadian Facts, Social and Policy Research
Page 1 and 2:
TP 14800F Analysis and Estimation o
Page 3 and 4:
APPENDIX A: DETAIL ON CALCULATIONS
Page 5 and 6:
• Large truck. Collisions involvi
Page 8:
ABBREVIATIONS CAC Criteria Air Cont
Page 11 and 12:
Analysis and Estimation of the Soci
Page 13 and 14:
Page 15 and 16:
Page 17 and 18:
Page 19 and 20:
Page 22 and 23:
III ONTARIO MODEL This chapter desc
Page 24 and 25:
Ontario Model redistribution. Simil
Page 26 and 27:
Ontario Model • Pedestrian Injure
Page 28 and 29:
Ontario Model Based on this analysi
Page 30 and 31:
Ontario Model Step 3 Allocate addit
Page 32 and 33:
Ontario Model damaged based on this
Page 34 and 35:
Ontario Model 1. Number of total an
Page 36 and 37:
Ontario Model 2.99; specialist—1.
Page 38 and 39:
Ontario Model 5. Tow trucks Tow tru
Page 40 and 41:
Ontario Model Exhibit III-5 Core WT
Page 42 and 43:
Ontario Model We combine this value
Page 44 and 45:
Ontario Model 6. Ambulance The Onta
Page 46 and 47:
Ontario Model individuals who self-
Page 48 and 49:
Ontario Model threatening injury, p
Page 50 and 51:
Ontario Model d) Additional Polluti
Page 52 and 53:
Ontario Model VARIABLE DATA LOST TI
Page 54:
Ontario Model We have no data to gu
Page 57 and 58:
Page 59 and 60:
Page 61 and 62:
Page 64 and 65:
V ONTARIO SUB-MODELS AND THEIR SOCI
Page 66 and 67:
Ontario Sub-Models and Their Social
Page 68 and 69:
Page 70 and 71:
Page 72 and 73:
Page 74 and 75:
Page 76:
Page 79 and 80:
Page 81 and 82:
Page 83 and 84:
Page 85 and 86:
Page 87 and 88:
Page 89 and 90:
Page 91 and 92:
Page 93 and 94:
Page 95 and 96:
Page 97 and 98:
Page 99 and 100:
Page 101 and 102:
Page 103 and 104:
Page 105 and 106:
Page 107 and 108:
Page 109 and 110:
Page 111 and 112:
Page 113 and 114:
Page 115 and 116:
Page 117 and 118:
Page 120:
Appendix A Detail on Calculations o
Page 123 and 124:
Page 125 and 126:
Page 127 and 128: Analysis and Estimation of the Soci
Page 168 and 169: APPENDIX B: MAKING CHANGES TO THE M
Page 170 and 171: Appendix B—Making Changes to the
Page 172 and 173: Appendix B—Making Changes to the
Page 174: Appendix C The Value of Human Conse
Page 177: Analysis and Estimation of the Soci
Page 184 and 185: APPENDIX D: VALUE OF HUMAN CONSEQUE
Page 186 and 187: Appendix D—Value of Human Consequ
Page 196: Appendix D—Value of Human Consequ
Page 200 and 201: APPENDIX E: REFERENCES Audrey, J. a
show all

Keith Vodden Dr. Douglas Smith - Transports Canada

Create successful ePaper yourself

Delete template?

Save as template?