Technical Report - AUTO21
Technical Report - AUTO21 Technical Report - AUTO21
Table-3.3.2: Seat belt status by driver’s age.24CategorySeat Belt StatusAge Belted UnbeltedTotal20-29 Years 236(96.7%) 8(3.3%) 24430-39 Years 818(98.2%) 15(1.8%) 83340-49 Years 440(98.7%) 6(1.3%) 44650-60 Years 95(99.0%) 1(1.0%) 96Over 60 Years 45(100.0%) 0(.0%) 45Total 1634(98.2%) 30(1.8%) 1664Table-3.3.3: Seat belt status by driver’s gender.CategorySeat Belt StatusGender Belted UnbeltedTotalMale 613(97.6%) 15(2.4%) 628Female 1016(98.4%) 16(1.6%) 1032Unsure 3(100.0%) 0(.0%) 3Total 1632(98.1%) 31(1.9%) 1663Table-3.3.4: Seat belt status by driver’s education level.CategorySeat Belt StatusEducation Level Belted UnbeltedTotalElementary school 9(90.0%) 1(10.0%) 10Some high school 78(95.1%) 4(4.9%) 82High school graduate 318(99.4%) 2(.6%) 320Some college/university 252(96.2%) 10(3.8%) 262College graduate 393(97.5%) 10(2.5%) 403University 555(99.3%) 4(.7%) 559Total 1605(98.1%) 31(1.9%) 1636Table-3.3.5: Seat belt status by driver’s income.CategorySeat Belt StatusIncome Belted UnbeltedTotalUnder $40,000 308(97.8%) 7(2.2%) 315$40,000-$80,000 647(97.1%) 19(2.9%) 666Over $80,000 560(99.3%) 4(.7%) 564Total 1515(98.1%) 30(1.9%) 1545
Table-3.3.6: Seat belt status by population size of driver’s community.CategorySeat Belt StatusLiving Status Belted UnbeltedTotalLarge city(over 100,000) 657(98.9%) 7(1.1%) 664Large town or small city(10,000-100,000)531(98.0%) 11(2.0%) 542Small town(under10,000)440(97.1%) 13(2.9%) 453Total 1628(98.1%) 31(1.9%) 16593.4 Weighted Estimates of Various Correct Variables for theParking Lot DataIn what follows we carry out weighted analysis of correct use rates based onsurvey methodology. Here we give a summary of the estimation procedure:The sampling frame was stratified by province and by region, according to theStatistics Canada’s definition of census regions (see Chounard, 2004). The totalpopulation of children younger than 17 years per province and per region withinprovince for the year 2004 was extracted from Statistics Canada’s data base byAline Chouinard of Transport Canada. Let h=1,…,m indicate the strata (region)within a given province, where m indicates the total number of regions in theprovince. Within each region we are ignoring the lower sampling stages such asthe intersection, the day of the week and the sampling time within a given day.The randomizations of those stages were largely violated due to practicality. Wehave opted to use a post-stratification procedure. Thus, we are assuming inwhat follows that, within each region in a province, the sample of vehiclesobserved at all sites in that region form a simple random sample withoutreplacement (SRSWOR). Also, in each vehicle observed there were a number ofchildren whose variables were recorded. Therefore, the vehicle forms a clusterand gives rise to correlated observations. Let i=1,..,m h indicate the i th clusterwithin the h th strata so that m h indicates the total number of vehicles observedwithin the h th strata. Finally, let j=1,…,m hi denote the j th observation (child) withinthe i th vehicle in the h th region (strata), so that m hi denotes the total number ofchildren (up to 3) in the i th vehicle observed in the h th region. First we obtainestimates of correct use for each region within a province and then we combinethese regional estimates to give a provincial estimate by using weightsproportional to the size of the region. That is, the region weights are equal to thechild population size of the province divided by the child population size of theregion. This amounts to assigning a weight of w = N / n to the observation ofhij h h25
- Page 7 and 8: explained the purpose of the study,
- Page 9 and 10: MontérégieNorthTorontoYorkton - M
- Page 11 and 12: Figure 3.2.1: Box plots showing med
- Page 13 and 14: Figure 3.2.3: A scatter plot of the
- Page 15 and 16: Table-3.2.3: Child’s gender and r
- Page 17 and 18: Table-3.2.6: Provincial distributio
- Page 19 and 20: OntarioCount 179 397 576% within Pr
- Page 21 and 22: NewfoundlandCount 45 121 166% withi
- Page 23: Race/Ethnicity 1652First Nations 39
- Page 27 and 28: PrinceEdward Island39.4% 39.44% 6.4
- Page 29 and 30: Table-3.4.8: weighted estimates of
- Page 31 and 32: Table-3.4.12: National weighted (by
- Page 33 and 34: Table-3.7.2: Provincial weighted es
- Page 35 and 36: Older> 9 years47.46% 52.54%Std Err
Table-3.3.2: Seat belt status by driver’s age.24CategorySeat Belt StatusAge Belted UnbeltedTotal20-29 Years 236(96.7%) 8(3.3%) 24430-39 Years 818(98.2%) 15(1.8%) 83340-49 Years 440(98.7%) 6(1.3%) 44650-60 Years 95(99.0%) 1(1.0%) 96Over 60 Years 45(100.0%) 0(.0%) 45Total 1634(98.2%) 30(1.8%) 1664Table-3.3.3: Seat belt status by driver’s gender.CategorySeat Belt StatusGender Belted UnbeltedTotalMale 613(97.6%) 15(2.4%) 628Female 1016(98.4%) 16(1.6%) 1032Unsure 3(100.0%) 0(.0%) 3Total 1632(98.1%) 31(1.9%) 1663Table-3.3.4: Seat belt status by driver’s education level.CategorySeat Belt StatusEducation Level Belted UnbeltedTotalElementary school 9(90.0%) 1(10.0%) 10Some high school 78(95.1%) 4(4.9%) 82High school graduate 318(99.4%) 2(.6%) 320Some college/university 252(96.2%) 10(3.8%) 262College graduate 393(97.5%) 10(2.5%) 403University 555(99.3%) 4(.7%) 559Total 1605(98.1%) 31(1.9%) 1636Table-3.3.5: Seat belt status by driver’s income.CategorySeat Belt StatusIncome Belted UnbeltedTotalUnder $40,000 308(97.8%) 7(2.2%) 315$40,000-$80,000 647(97.1%) 19(2.9%) 666Over $80,000 560(99.3%) 4(.7%) 564Total 1515(98.1%) 30(1.9%) 1545
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