Research Article
Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury
Table 1
WTP according to socioeconomic characteristics.
| | Item | Nonparticipation | Participation | Total sample | (%) | | Protest | (%) | Zero | (%) | Positive | (%) |
| | Gender pearson chi-square test = | | Female | 183 | (55.3) | 229 | (54.0) | 768 | (56.2) | 1169 | (55.1) | | Male | 148 | (44.7) | 195 | (46.0) | 599 | (43.8) | 953 | (44.9) |
| | Age pearson chi-square test = | | 20 or younger | 95 | (28.7) | 101 | (23.7) | 222 | (16.2) | 410 | (19.3) | | 21–30 | 103 | (31.1) | 151 | (35.6) | 505 | (36.9) | 755 | (35.6) | | 31–40 | 53 | (16.0) | 74 | (17.5) | 296 | (21.7) | 428 | (20.2) | | 41–50 | 36 | (10.9) | 41 | (9.7) | 181 | (13.2) | 260 | (12.3) | | 51–60 | 24 | (7.3) | 33 | (7.8) | 106 | (7.8) | 166 | (7.8) | | 61 or older | 20 | (6.0) | 24 | (5.7) | 57 | (4.2) | 103 | (4.8) |
| | Education | | Below university | 155 | (46.8) | 282 | (66.5) | 385 | (28.2) | 719 | (33.9) | | University or above | 176 | (53.2) | 142 | (33.5) | 982 | (71.8) | 1403 | (66.1) |
| | Individual monthly income | | 1,459 or lower | 284 | (85.8) | 400 | (94.3) | 1064 | (77.8) | 1748 | (82.4) | | 1.460 or higher | 47 | (14.2) | 24 | (5.7) | 303 | (22.2) | 374 | (17.6) |
| | Household monthly income | | 1,317 or lower | 114 | (34.5) | 169 | (39.9) | 367 | (26.8) | 645 | (30.4) | | 1,318–2,305 | 111 | (33.5) | 153 | (36.1) | 495 | (36.2) | 755 | (35.6) | | 2,306 or higher | 106 | (32.0) | 102 | (24.0) | 505 | (37.0) | 722 | (34.0) |
| | Total sample | 331 | | 424 | | 1367 | | 2122 | |
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Note: The percentage of respondents in each category is given in parentheses.
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