| Literature DB >> 19845962 |
Conor C O Reynolds1, M Anne Harris, Kay Teschke, Peter A Cripton, Meghan Winters.
Abstract
BACKGROUND: Bicycling has the potential to improve fitness, diminish obesity, and reduce noise, air pollution, and greenhouse gases associated with travel. However, bicyclists incur a higher risk of injuries requiring hospitalization than motor vehicle occupants. Therefore, understanding ways of making bicycling safer and increasing rates of bicycling are important to improving population health. There is a growing body of research examining transportation infrastructure and the risk of injury to bicyclists.Entities:
Mesh:
Year: 2009 PMID: 19845962 PMCID: PMC2776010 DOI: 10.1186/1476-069X-8-47
Source DB: PubMed Journal: Environ Health ISSN: 1476-069X Impact factor: 5.984
Key terminology for describing transportation infrastructure used by cyclists
| Term | Description |
|---|---|
| STRAIGHTAWAYS | |
| On-road cycling/vehicular cycling | When bicyclists ride on a roadway designed primarily for motor vehicles. |
| Wide curb lane | The outer (curbside) lane of a paved multi-lane road is wider than the standard width and can accommodate cyclists, although there may not be signs indicating this. |
| Sharrows * | Symbols painted on the paved roadway indicating that bicycles can share the lane with motor vehicles. They are sometimes used on roads with high cyclist traffic that don't have enough width to accommodate a bike lane. |
| Bike route | A paved residential or local road that is signed as being a "bike route", and may have cyclist-friendly crossings at major roads, such as traffic signals with push-buttons that are easily operated by cyclists. |
| Bike lane | Part of the paved roadway marked with painted lines or a colored surface, to designate that it is reserved exclusively for cyclists. Bike lanes may terminate before an intersection, or continue through it. |
| Cycle track | Paved lane, exclusively for bicycle use, next to a major city street or roundabout, but separated by a curb or other physical barrier. |
| Bike path | Off-road paved or unpaved path or trail, for bicycles only. |
| Multi-use path | Off-road paved or unpaved path or trail, shared with other non-motorized users (e.g. pedestrians, runners, or in-line skaters). |
| Sidewalk | Off-road paved walkway for pedestrian use, located by the side of road; known as "pavement" in some parts of the world (e.g. UK and Ireland). |
| Speed bumps/humps * | Raised ridge across the road designed to slow motor vehicle traffic ("traffic calming"), particularly in residential areas. Speed humps are easier than speed bumps for cyclists to ride over because they are less steep-sided and more broad. |
| INTERSECTIONS | |
| Intersections | Where two or more roads either meet or cross at the same level. |
| Junctions * | May be road intersections, but the term is usually used to refer to the point where a laneway, path, or driveway meets a road. |
| Roundabout | Intersection of arterial streets with a central circle of sufficient diameter that the road curvature accommodates all road vehicles, including trucks and buses. Roundabouts usually have splitter islands on the approaches, sidewalks around the edges, and crosswalks across the approaches set back from the intersection. Daniels et al. provide diagrams of different types of cycle facilities on roundabouts in the Netherlands [ |
| Traffic circle/rotary traffic island * | Raised concrete circles placed in the centre of minor street intersections; there are no splitter islands and the design vehicle is a passenger car. |
| Bicycle crossing | Distinct road crossings for cyclists that are sometimes raised or colored, and may have cyclist-operated traffic signals. |
| Bicycle box/advanced cycle stop line * | A right-angle extension to a bike lane at the head of an intersection, which allows cyclists to wait at the head of the traffic queue on a red traffic signal and then proceed through the intersection ahead of motor vehicle traffic on green. |
| Traffic diverter * | Bike-permeable barriers that require motor vehicle traffic to turn instead of traveling straight ahead through an intersection, or that prevent motor vehicles from entering a street. |
* These types of infrastructure were not investigated in any of the studies identified for this review.
† Terminology used in the "European Cycling Lexicon" (published by the European Economic and Social Committee at the Vélocity 2009 conference in Brussels). It gives a list of key cycling terms with corresponding photographs for cyclists and policy makers, in all 23 official European languages. It is freely available to download at: http://www.eesc.europa.eu/sections/ten/european-cycling-lexicon
Studies that investigated relationships between bicyclist safety and intersection-related transportation infrastructure
| Reference | Location; Design | Infrastructure types examined | Study population | Outcome measures | Analysis method | Control method | Effects observed |
|---|---|---|---|---|---|---|---|
| ROUNDABOUTS | |||||||
| Schoon and Van Minnen | The Netherlands; | Roundabouts vs. other intersection types; and roundabout design features | 181 intersections before and after implementation of roundabouts | National database of bicycle and moped injuries and crashes* (529 before, 111 after) | Change in crash and injury rates after intervention. | Corrected for the temporal trends in crash and injury rates across all intersections in the Netherlands: national data that showed a 2 to 13% decrease over the study period. A seven-month "transitional period" following roundabout construction was not included in before-after analysis. | 8% reduction in bicyclists' crash rate and 30% reduction in injury rate were observed following installation of new roundabouts. Among the 3 styles of roundabouts, those with cycle tracks had the greatest reductions in injuries to cyclists and moped users (90%), compared to those with no bicycle infrastructure (41% reduction) and those with a cycle lane (25% reduction). |
| Brüde and Larsson (2000) | Sweden; | Roundabouts vs. other intersection types | 72 roundabouts with ≥ 100 cyclists/day | Police reports of 67 crashes*, 58 of which resulted in injuries | Comparison of observed and expected crash counts. Regression analyses to examine factors affecting crash counts and rates. | Calculated expected crashes and injuries using published prediction models for conventional intersections based on motor vehicle and bicycle traffic volumes. | At two-lane roundabouts, the observed crashes and injuries were more than twice those expected, whereas at single lane roundabouts there was no difference between expected and observed. Two other factors were associated with lower than expected crashes: single lane roundabouts with a central island radius > 10 m, and bicycle travel on bikeways rather than the roadway of the roundabout intersection. |
| Hels and Orozova-Bekkevold | Denmark - Odense; Observational, non-intervention | Roundabout design features | 88 roundabouts | Police reports and Emergency Department records of 152 injuries* | Poisson regression and logistic regression analyses between cyclist injuries (3/year and probability, respectively) and roundabout characteristics: geometry, age, traffic volume (vehicles and cyclists), and location (urban/rural). | Adjusted for temporal changes in traffic volume. | In multiple regression, higher vehicle and cyclist traffic volumes and "drive curve" (a proxy for vehicle speed) were associated with higher numbers of cyclist crashes/year. |
| Daniels et al. (2008) | Belgium - Flanders; | Roundabouts vs. other intersection types | 91 intersections before and after implementation of roundabouts (40 inside built-up areas with speed limit of 50 km/h, and 51 in areas with speed limits of 70 or 90 km/h) | Police reports of 1060 injuries (411 at roundabouts, 649 at comparison intersections) | Effectiveness index = odds ratio for the before-after change in injury rates of the roundabout intersections as compared to the change in injury rates at conventional comparison intersections. | Comparison group: unchanged conventional intersections near intervention sites to account for temporal trends in safety and regression-to-the-mean (e.g. intersections may have been selected for roundabout construction because of higher numbers of crashes). | Roundabouts have the effect of increasing risk of crashes resulting in injury at or near the intersection (odds ratio = 1.27). The effect is stronger for intersections inside built-up areas (odds ratio = 1.48). |
| Daniels et al. (2009) | Belgium - Flanders; | Roundabouts vs. other intersection types | Same data as Daniels 2008, above, except only 50 intersections in areas with speed limits of 70 or 90 km/h) | Same data as Daniels 2008, above. | Effectiveness index as Daniels 2008, above. Regression models to evaluate the roundabout design determinants of the effectiveness index. | Same data as Daniels 2008, above. | Roundabouts with cycle lanes had significantly higher risk (odds ratio = 1.93), whereas no increased risks were observed for roundabouts with mixed traffic, separate cycle tracks, or grade-separated paths. Roundabouts with 2 lanes and those replacing signalized intersections also had elevated risks. |
| BICYCLE CROSSINGS | |||||||
| Gårder et al. (1998) | Sweden - Gothenburg; | Bicycle crossings (raised above road level by 4-12 cm) vs. other intersection types | 44 intersections (and 18.7 km of adjacent road sections) before and after implementation of raised bicycle crossings | Police or hospital reports of 287 crashes* (160 before, 127 after) | Calculated unadjusted number of crashes per month after intervention compared to before intervention. | Adjusted for traffic volume data collected on 2 intervention streets and 2 unchanged streets. | There was an 8% increase in crash frequency in the study area, but bicycle volume on these intervention sections grew by 50% more than unchanged streets - authors conclude that the intervention may have resulted in a safety improvement. |
| Jensen (2008) Safety effects of blue cycle crossings: a before-after study | Denmark - Copenhagen; | Bicycle crossings (colored blue) vs. other intersection types | 65 intersections before and after implementation of blue bicycle crossings | Police reports of 567 injuries (319 before, 248 after); 1,595 collisions (778 before, 817 after) | Comparison of observed injuries and crashes with expected (using fixed and random effects models). | Adjusted for temporal trends in traffic volumes and crashes, based on data from changed and unchanged intersections. Considered regression-to-the-mean, but no adjustment was deemed necessary. | Risk of crash/injury depends on number of colored crossings: 1 crossing = 10% reduction for injuries/19% for crashes; 2 crossings = 23%/48% increase; 4 crossings = 60%/139% increase. Authors hypothesize that non-intuitive findings may result from motorist confusion at sites with many crossings. |
| INTERSECTION DESIGN | |||||||
| Wang and Nihan (2004) | Japan - Tokyo†; | Intersection design, including number of turn lanes, width of medians, pedestrian overpass | 115 randomly selected signalized intersections with 4 legs | Police-reports of 585 bicycle-motor vehicle collisions | Three Poisson models of crash event risk: for "through" motor vehicle travel; left-turn travel; and right-turn travel. | Adjusted for average bicycle and motor vehicle volume, intersection location, speed limit, visual noise. | A higher number of turning lanes and presence of a wide median significantly increased risk of crash during motor vehicle turning maneuvers. Narrower entering approaches and wider medians increased crash risk in certain turning collisions. Increased cycle volumes were associated with lower collision risk with turning vehicles. |
*These studies used only the term "accident" to describe crashes (collisions and/or falls) that may or may not have resulted in injury. We have substituted the words "crash", "collision" and/or "fall" based on our reading of the studies, as explained in the "Safety terminology" section of the text.
† In Japan, traffic drives on the left (so turns should be interpreted accordingly), and bicycles travel on sidewalks with pedestrians, not on the road.
Studies that investigated relationships between bicyclist safety and transportation infrastructure related to roads, lanes and/or paths.
| Reference | Location; Design | Infrastructure types examined | Study population | Outcome measures | Analysis method | Control method | Effects observed |
|---|---|---|---|---|---|---|---|
| ROADS, LANES AND PATHS | |||||||
| Kaplan | United States; | Major roads, minor roads, on-road bike routes or lanes, off-road (including bike paths and sidewalks) | 3,270 cyclists who completed a survey distributed to a random sample of League of American Wheelmen members, geographically weighted to represent the population of each state. | Self-reporting (survey): 854 collisions or serious falls | Calculated crash rate per million miles for different infrastructure types, based on number of miles cycled and proportion of cycling on each type. | Adjusted for distance traveled. | Crash rates per million miles on major streets = 114, minor roads = 105, on-road bike routes or lanes = 58, and off-road = 292. Serious crash (involving emergency department visit or hospitalization) rates per million miles on major streets = 35, minor roads = 27, on-road bike routes or lanes = 25, and off-road = 77. |
| Lott and Lott (1976) | United States - Davis; Observational, non-intervention | Roads with and without marked bike lanes | 145 car-bike collisions | Police reports of 145 car-bike collisions | Comparison of numbers of collisions on roads with and without bike lanes, adjusting for neutral collision types. | "Neutral" collision types (considered to be independent of bike lane presence) used as method to adjust for car-bike traffic on the different road types. Neutral collision types defined as those where the cyclist or motorist failed to stop or yield, or the motorist made an improper left turn. | Bike lanes estimated to reduce collision frequency by 53%. |
| Smith and Walsh | United States - Madison; | Major roads with and without marked bike lanes (one on left side of street, one on right side) | 1.3-mile sections of 2 one-way arterial roads | City-maintained database of traffic crashes*: 87 crashes at study sites (1,411 crashes city-wide) | Compared crash counts per year before and after intervention. | Adjusted for average bicycle volumes city-wide in the before and after periods. | Increase in crash rates with bike lanes, especially for lane on left side of street in the initial year post-intervention. No statistically significant effect on long-term crash rates. |
| Tinsworth et al. | United States; | Major thoroughfares, neighborhood streets, sidewalks, bike paths, unpaved surfaces | (1) 420 cyclists who were injured and attended one of 90 emergency departments that report to the US Consumer Product Safety Commission, and (2) ~1250 other cyclists from a national probability sample | Hospital reports of 420 injuries (emergency department visits) | Multiple logistic regression, comparing infrastructure of injured cyclists (at location of injury event) and of cyclists from the national probability sample (infrastructure where cyclist rode more than 50% of the time). | Adjusted for hours of bicycle use per month, age, sex, size of community, daylight vs. dawn/dusk/night. | Relative risks (odds ratios) for injury by infrastructure type for adults: Major thoroughfares = 2.45; neighborhood streets (reference category) = 1; sidewalks = 1; bike paths = 0.14; unpaved surfaces = 0.11. Relative risks for children: neighborhood streets (reference category) = 1; sidewalks = 0.6; unpaved surfaces = 0.29; bike paths = 0.12. |
| Rodgers (1997) | United States; | Roads, bike paths or lanes, off-road trails, other surfaces | 2,978 cyclists who completed a survey (conducted by National Family Opinion for Bicycling magazine), including adults who purchased new bicycles, screened to match US population based on geographic region, population density, household income, household size, and age. | Self-reporting (survey): 280 respondents who had a crash or fell in the last 12 months | Multiple logistic regression comparing odds ratios for having a collision or fall versus not, according to primary riding surface of the cyclist. | Adjusted for miles traveled in warm weather months, age, sex, bicycle type, and geographic region of residence. | Odds ratios for risk of being a cyclist who had collision or fall in the last year, by primary riding surface, compared to roadway (= 1.0): bike path or lane = 0.60; other surfaces = 1.28; off-road trail = 7.17. |
| Moritz | United States; | Major roads, minor roads, signed bike routes, on-street bike lanes, multiuse trails, off-road/unpaved trails, sidewalks | 1,956 cyclists who completed a survey distributed to a random sample of League of American Bicyclists members, geographically weighted to represent the population of each state. | Self-reporting (survey): ~680 crashes | Relative danger indices calculated by dividing the proportion of crashes on a given infrastructure type by the proportion of commuting distance reported on that infrastructure. When index = 1.0, proportions of crashes and commuting distances are the same for that route type. | Adjusted for distance traveled. | Relative danger index by infrastructure type: major street without bike facilities = 0.66; minor street without bike facilities = 0.94; on-road bike routes = 0.51; on-road bike lanes = 0.41; multiuse trails = 1.39; off-road/unpaved trails = 4.49; "other" (mostly sidewalk) = 16.3. |
| Moritz | United States; | Major roads, minor roads, on-road bike routes & lanes, off-road bike paths, sidewalks | 2,374 cyclists who completed a survey distributed via email lists, magazine advertisements, and word of mouth. | Self-reporting (survey): 271 serious crashes | Relative danger indices calculated by dividing the proportion of crashes on a given infrastructure type by the proportion of commuting distance reported on that infrastructure. When index = 1.0, proportions of crashes and commuting distances are the same for that route type. | Adjusted for distance traveled. | Relative danger index by infrastructure type: major street without bike facilities = 1.26; minor street without bike facilities = 1.04; on-road bike routes and lanes = 0.50; off-road bike paths = 0.67; "other" (mostly sidewalk) = 5.3. |
| Aultman-Hall and Hall (1998) Ottawa-Carleton commuter cyclist on- and off-road incident rates | Canada - Ottawa; | Roads, off-road paths, sidewalks | 1452 commuter cyclists who completed a survey distributed on parked bicycles. | Self-reporting (survey): 187 injuries, 194 collisions, 234 falls | Event rates calculated per distance traveled on each infrastructure type based on GIS analyses of mapped commuting routes; relative risks for the three infrastructure types compared using Poisson distribution and Hauer statistical test. | Adjusted for distance traveled. Also adjusted (via weighting) for differences in use of various infrastructure types by cyclist characteristics: weekly commute distance; left turning method; comfort on busy streets; and belonging to a cycle club or having taken a training course. | Compared to cycling on-road, there were no differences in collision rates for off-road or sidewalk cycling, but the relative risks of falls were 2.1 for off-road paths and 4.0 for sidewalks, and of injury were 1.6 for off-road paths and 4.0 for sidewalks. |
| Aultman-Hall and Kaltenecker (1999) Toronto bicycle commuter safety rates | Canada - Toronto; | Roads, off-road paths, sidewalks | 1196 commuter cyclists who completed a survey distributed on parked bicycles. | Self-reporting (survey): 182 injuries, 300 collisions 203 falls | Event rates calculated per distance traveled on each infrastructure type based on GIS analyses of mapped commute routes; relative risks for the three infrastructure types compared using Poisson distribution and Hauer statistical test. | Adjusted for distance traveled. Also adjusted (via weighting) for differences in use of various infrastructure types by cyclist characteristics: age; sex; weekly commute distance; and comfort on busy streets. | Compared to cycling on-road, relative risks of collisions were 3.5 for off-road and 2.0 sidewalk cycling, of falls were 1.5 for off-road paths and 9.0 for sidewalks, and of injury were 1.8 for off-road paths and 6.4 for sidewalks. |
| ROAD DESIGN CHARACTERISTICS | |||||||
| Klop and Khattak (1999) | United States - North Carolina; | Characteristics of 2-lane undivided roads: curve vs. straight; level vs. grade; right shoulder width; intersection or not; street lighting | 1,025 collisions with motor vehicles. | Police reports of bicycle collisions (recorded in the Highway Safety Information System) identifying injury severity†. Classified as property damage only, pain, non-incapacitating, incapacitating, and fatal. | Multivariate ordered probit model comparing the 5 levels of injury severity. | Adjusted for traffic volume, speed limit, year, rural-urban, weather, daylight. | More severe injuries were significantly associated with the following infrastructure characteristics: grades on both curved and straight roads; and unlit roads at night. Other factors associated with higher injury severity included: higher speed limits; lower average annual daily traffic; and fog. |
| Allen-Munley et al. | United States - Jersey City; | Width and grade of roads, one-way versus two-way road configuration, highway versus non-highway road type | 314 injuries resulting from collisions with motor vehicles. | Police reports of 314 bicycle crashes, identifying injury severity†. Classified as property damage only, minor and serious. | Ordinal logistic regression comparing the three levels of injury severity. | Adjusted for whether child or adult, traffic volume per lane, household income, population density, land use, weather, and daylight. | More severe injuries were significantly associated with wider roads, perceptible grades, and one-way streets, pavement not resurfaced in last 10 years, and highway road type (the first three variables at p < 0.05, the latter three at p < 0.10). |
| ROAD SURFACES | |||||||
| Rivara et al. (1997) Epidemiology of bicycle injuries and risk factors for serious injury | United States - Seattle; | Surface type: paved vs. unpaved | 3390 injured cyclists who completed a questionnaire about demographic characteristics, cycling experience, crash circumstances, and helmet use and fit. | Emergency department, hospital and medical examiner records of injuries, classified using the injury severity† score (ISS) | Univariate and multivariate logistic regression comparing cyclists with severe injuries (ISS > 8) to those with less severe injuries. | Adjusted for age, motor vehicle involvement, speed, helmet use. | Decreased risk of severe injury on unpaved surfaces (odds ratio = 0.7, not statistically significant). Motor vehicle involvement was strongest risk factor (odds ratio = 4.6). |
| SIDEWALKS | |||||||
| Wachtel and Lewiston (1994) | United States - Palo Alto; | Sidewalks vs. roadways | 89 bicycle-motor vehicle collisions at intersections or junctions on three major arterial roads. | Police reports of 89 collisions | Relative risk of collisions for cyclists on sidewalks vs. on roadway. Risk calculations used 8-hour bicyclist counts at 9 intersections (7 signalized and 2 with stop signs) on the 3 arterials. | Adjusted for age (whether child < 18 or adult), sex, and direction of travel (with or against motor vehicle traffic). | Cycling on the sidewalk is associated with higher risk (RR = 1.8). The elevated risk on sidewalks is almost exclusively related to cycling against traffic (RR = 1.9) vs. with traffic (RR = 0.9). |
| STREET LIGHTING | |||||||
| Kim et al. (2007) Bicyclist injury severities in bicycle-motor vehicle crashes | United States - North Carolina; | Street lighting, straight versus curved roadway, street configuration (one-way, two-way, divided or not) | 2934 injuries resulting from collisions between a single motorist and a bicyclist. | Police reports of injury severity†. Classified as fatal; incapacitating; non-incapacitating; possible or no injury. | Multinomial logit | Adjustment for all factors included in model: bicyclist age, intoxication, helmet use; driver intoxication; vehicle speed and type; crash characteristics including fault and directions of travel; land use; time of day; weather. | Infrastructure-related determinants that increased the probability of severe injury in an crash were: unlit roads at night; curved road geometry; and undivided street configuration. |
| Wanvik (2009) | The Netherlands; | Road lighting on rural roads | ~125,000 bicycle crashes resulting in injury from 1987-2006. | Police reports of ~125,000 injuries | Odds ratio estimating risk of crash in darkness versus daylight on lit versus unlit roads. | Adjusted for hour of the day, darkness, and season, by summing log odds ratios calculated separately for these factors. Log odds ratios were weighted in inverse proportion to the variance of the odd ratio. | Presence of lighting on rural roads reduces bicyclist injuries by ~60%. |
* This study used only the term "accident" to describe crashes (collisions and/or falls) that may or may not have resulted in injury. We have substituted the words "injury", "crash", "collision" and/or "fall" based on our reading of the studies, as explained in the "Safety terminology" section of the text.
† Injury severity does not reflect risk of an incident, but rather the outcome of the incident once it occurs.