Population distribution of potential built environmental risk factors for bicycle-vehicle crash injuries according to the extent of injury, New York City, 2011
| Severity of bicycle-vehicle crash injury | ||
|---|---|---|
| Non-severe injury (non-incapacitating injury, possible injury) 2899 | Severe injury (incapacitating injury or killed) 367 | |
| Intersection angle* | ||
| Orthogonal (85<×<95) | 1180 (90.5%) | 124 (9.5%) |
| Non-orthogonal (0<×≤85 or 95≤×<175) | 483 (87.0%) | 72 (13.0%) |
| Straight street (175≤×≤180) | 583 (87.3%) | 85 (12.7%) |
| Missing | 653 (88.4%) | 86 (11.8%) |
| Width of street at crash location* | ||
| ≤30 m | 890 (88.8%) | 112 (11.2%) |
| >30 m | 2009 (88.7%) | 255 (11.3%) |
| Road surface condition | ||
| Dry | 2442 (88.3%) | 324 (11.7%) |
| Wet/snow/muddy/slush | 362 (90.5%) | 38 (9.5%) |
| Missing | 95 (95.0%) | 5 (5.0%) |
| Road character | ||
| Straight/level | 2626 (88.7%) | 335 (11.3%) |
| Straight/grade/hillcrest curve | 175 (87.1%) | 26 (12.9%) |
| Missing | 98 (94.2%) | 6 (5.8%) |
| Time of the day | ||
| Morning (6:00–10:00) | 390 (89.4%) | 46 (10.6%) |
| Afternoon (10:00–15:00) | 765 (89.0%) | 95 (11.0%) |
| Evening (15:00–21:00) | 1357 (89.8%) | 154 (10.2%) |
| Night (21:00–5:00) | 387 (84.3%) | 72 (15.7%) |
| Vehicle type | ||
| Car/van/pickup truck | 2104 (89.9%) | 236 (10.1%) |
| Truck and bus | 90 (79.6%) | 23 (20.4%) |
| Other vehicles | 704 (86.7%) | 108 (13.3%) |
| Age | ||
| Children (6≤ age <18) | 348 (89.0%) | 43 (11.0%) |
| Young adults (18≤ age <40) | 1518 (88.3%) | 201 (11.7%) |
| Middle age and older (40≤ age) | 635 (89.1%) | 78 (10.9%) |
| Missing | 398 (89.8%) | 45 (10.2%) |
| Sex | ||
| Male | 2501 (88.9%) | 312 (11.1%) |
| Female | 377 (87.9%) | 52 (12.1%) |
| Annual average daily traffic | 2899 (88.8%) | 367 (11.2%) |
| Posted speed limits | 2899 (88.8%) | 367 (11.2%) |
| Facilities | ||
| Present | 869 (87.9%) | 120 (12.1%) |
| Not present | 2030 (89.1%) | 247 (10.8%) |
*According to the ‘Methods’ section, it was not possible to measure the angle for all crashes due to the limitations of the geographical information system (GIS) data. Age, sex, vehicle type, time of day, road surface and road character are derived from the police reports, while intersection angle and width of streets at crash locations were measured using GIS techniques.