There is no national
reporting system for bicycle-motor vehicle accidents. If an accident is fatal, however, it
is almost always well documented and reported. The Fatal Accident Reporting System
(FARS) of the National Highway Traffic Safety Administration (NHTSA) reported that only 31
percent of bicyclist fatalities in motor vehicle accidents in the United States in 1992
occurred at intersections.1 NHTSA's classification follows the Manual on Classification of
Motor Vehicle Traffic Accidents (ANSI D16.1-1989)3, which defines an intersection as a
crossing of two or more roadways not classified as driveways. Our use of intersection
corresponds more nearly to the Manual's junction, defined as either an
intersection or the connection between a driveway and a roadway. FARS statistics for
1992 show 39 percent of fatalities at junctions.4
In urban areas the value increases to 44
percent, somewhat closer to our findings. It is possible that non-intersection accidents
are more likely to result in fatalities.
Table 1
shows the distribution of bicycle-motor vehicle collisions at intersections, catalogued
according to four characteristics that are easily observed and might be relevant for
accident risk: bicyclist age, bicyclist sex, direction of bicyclist travel (with or
against the direction of traffic on the roadway), and bicyclist position (either in the
roadway, including bicycle lanes and private driveways, or on the sidewalk, including
bicycle paths and crosswalks).
The
table shows that 35 percent of victims were aged 17 or younger, while 65 percent were 18
or older, and that 31 percent were female and 69 percent were male. It is obviously not
possible to conclude from these figures that older bicyclists or male bicyclists are at
greater risk: the actual risks depend on the age and sex distribution of the bicyclist
population that is exposed to potential accidents. For the same reason, it is impossible
to draw any conclusions about the risks involved in bicycling with or against the
direction of traffic, or on the roadway or the sidewalk, without knowing how many
bicyclists in each category were exposed.
Exposure Counts
In order
to study the distribution of these four characteristics in the population of bicyclists
that is exposed to accidents, the City of Palo Altos Transportation Division
arranged to conduct bicyclist counts in May 1987, including counts at intersections along
three major arterial streets, Middlefield Road, Embarcadero Road, and El Camino Real, on
which many bicycle accidents had occurred (92 of 233 bicycle-motor vehicle intersection
accidents). Table 1 shows that the distribution of the selected bicyclist
characteristics in accidents along these streets is similar to that in the entire city.
Middlefield
Road is a residential street, except for one neighborhood shopping center and a two-block
business district. It varies from two to four lanes in width, carries about 16,000 motor
vehicles per day, and has on-street bicycle lanes for a portion of its length. The posted
speed limit is 25 mi/h. Embarcadero Road is a four-lane residential street carrying about
22,000 motor vehicles per day; the posted speed limit is 25 mi/h, but the measured 85th
percentile speed is 37 mi/h. It includes a small neighborhood shopping center at one end
and a moderate-sized shopping center at the other and, opposite it, a high school.
Table 2. 18 and Older
Compared to 17 and Younger
|
18 and Older |
17 and Younger |
Risk Ratio |
|
Category |
Bicyclists Observed |
Accidents Reported |
Risk |
Bicyclists Observed |
Accidents Reported |
Risk |
18 to 17 |
p |
All bicyclists |
1543 |
59 |
1.3 |
1433 |
30 |
0.7 |
1.8 |
0.01 |
Female |
363 |
15 |
1.4 |
489 |
7 |
0.5 |
2.9 |
0.03 |
Male |
1180 |
44 |
1.2 |
944 |
23 |
0.8 |
1.5 |
|
With traffic |
1418 |
45 |
1.1 |
1135 |
11 |
0.3 |
3.3 |
0.001 |
Against traffic |
125 |
14 |
3.7 |
298 |
19 |
2.1 |
1.8 |
|
Roadway |
1265 |
39 |
1.0 |
740 |
9 |
0.4 |
2.5 |
0.02 |
Sidewalk |
278 |
20 |
2.4 |
693 |
21 |
1.0 |
2.4 |
0.01 |
-
Table 3. Male Compared to
Female
|
Male |
Female |
Risk Ratio, |
|
Category |
Bicyclists
Observed |
Accidents Reported |
Risk |
Bicyclists
Observed |
Accidents
Reported |
Risk |
Male to
Female |
p |
All bicyclists |
2124 |
67 |
1.1 |
852 |
22 |
0.9 |
1.2 |
|
17 |
944 |
23 |
0.8 |
489 |
7 |
0.5 |
1.7 |
|
18 |
1180 |
44 |
1.2 |
363 |
15 |
1.4 |
0.9 |
|
With traffic |
1819 |
43 |
0.8 |
734 |
13 |
0.6 |
1.3 |
|
Against traffic |
305 |
24 |
2.6 |
118 |
9 |
2.6 |
1.0 |
|
Roadway |
1448 |
35 |
0.8 |
557 |
13 |
0.8 |
1.0 |
|
Sidewalk |
676 |
32 |
1.6 |
295 |
9 |
1.0 |
1.6 |
|
Table 4. Against Traffic
Compared to With Traffic
|
Against Traffic |
With Traffic |
Risk Ratio, |
|
Category |
Bicyclists Observed |
Accidents Reported |
Risk |
Bicyclists Observed |
Accidents Reported |
Risk |
Against to With |
p |
All bicyclists |
423 |
33 |
2.6 |
2553 |
56 |
0.7 |
3.6 |
<<0.00001 |
Roadway |
108 |
5 |
1.5 |
1897 |
43 |
0.8 |
2.0 |
|
Sidewalk |
315 |
28 |
3.0 |
656 |
13 |
0.7 |
4.5 |
<0.00001 |
17 |
298 |
19 |
2.1 |
1135 |
11 |
0.3 |
6.6 |
<<0.00001 |
18 |
125 |
14 |
3.7 |
1418 |
45 |
1.1 |
3.5 |
0.0001 |
Female |
118 |
9 |
2.6 |
734 |
13 |
0.6 |
4.3 |
0.001 |
Male |
305 |
24 |
2.6 |
1819 |
43 |
0.8 |
3.3 |
<0.00001 |
Table 5. Sidewalk Compared to
Roadway
|
Sidewalk |
Roadway |
Risk Ratio, |
|
Category |
Bicyclists Observed |
Accidents Reported |
Risk |
Bicyclists Observed |
Accidents Reported |
Risk |
Sidewalk to Roadway |
p |
All bicyclists |
971 |
41 |
1.4 |
2005 |
48 |
0.8 |
1.8 |
0.01 |
17 |
693 |
21 |
1.0 |
740 |
9 |
0.4 |
2.5 |
0.03 |
18 |
278 |
20 |
2.4 |
1265 |
39 |
1.0 |
2.3 |
0.01 |
Female |
295 |
9 |
1.0 |
557 |
13 |
0.8 |
1.3 |
|
Male |
676 |
32 |
1.6 |
1448 |
35 |
0.8 |
2.0 |
0.01 |
With traffic |
656 |
13 |
0.7 |
1897 |
43 |
0.8 |
0.9 |
|
Against traffic |
315 |
28 |
3.0 |
108 |
5 |
1.5 |
1.9 |
|
17, female |
225 |
4 |
0.6 |
264 |
3 |
0.4 |
1.6 |
|
17, male |
468 |
17 |
1.2 |
476 |
6 |
0.4 |
2.9 |
0.04 |
18, female |
70 |
5 |
2.4 |
293 |
10 |
1.1 |
2.1 |
|
18, male |
208 |
15 |
2.4 |
972 |
29 |
1.0 |
2.4 |
0.01 |
17, with traffic |
455 |
5 |
0.4 |
680 |
6 |
0.3 |
1.2 |
|
18, with traffic |
201 |
8 |
1.3 |
1217 |
37 |
1.0 |
1.3 |
|
17, against traffic |
238 |
16 |
2.2 |
60 |
3 |
1.7 |
1.3 |
|
18, against traffic |
77 |
12 |
5.2 |
48 |
2 |
1.4 |
3.7 |
|
Female, with traffic |
210 |
2 |
0.3 |
524 |
11 |
0.7 |
0.5 |
|
Female, against traffic |
85 |
7 |
2.8 |
33 |
2 |
2.0 |
1.4 |
|
Male, with traffic |
446 |
11 |
0.8 |
1373 |
32 |
0.8 |
1.1 |
|
Male, against traffic |
230 |
21 |
3.1 |
75 |
3 |
1.3 |
2.3 |
|
17, female, with |
159 |
0 |
0.0 |
244 |
2 |
0.3 |
0.0 |
|
17, female, against |
66 |
4 |
2.0 |
20 |
1 |
1.7 |
1.2 |
|
18, female, with |
51 |
2 |
1.3 |
280 |
9 |
1.1 |
1.2 |
|
18, female, against |
19 |
3 |
5.3 |
13 |
1 |
2.6 |
2.1 |
|
17, male, with |
296 |
5 |
0.6 |
436 |
4 |
0.3 |
1.8 |
|
17, male, against |
172 |
12 |
2.3 |
40 |
2 |
1.7 |
1.4 |
|
18, male, with |
150 |
6 |
1.3 |
937 |
28 |
1.0 |
1.3 |
|
18, male, against |
58 |
9 |
5.2 |
35 |
1 |
1.0 |
5.4 |
|
Portions
of Middlefield and most of Embarcadero are too narrow to accommodate bicycle lanes;
accordingly, the city has designated sidewalks in these places as bicycle paths.
(Bicycle lanes are portions of the roadway designated for the use of bicycles. Bicycle
paths are physically separated rights of way for the exclusive use of bicycles and
pedestrians.) The paths are signed Bicycles May Use Sidewalk, and their use is
optional. In accordance with a local ordinance these sidewalks are further signed for
one-way bicycle travel, although this prohibition is often ignored and rarely enforced.
El
Camino Real is a six-lane divided state highway (Route 82) located primarily in a
business district, with parking permitted and many commercial driveways. It carries
about 46,000 vehicles per day at a posted speed limit of 35 to 40 mi/h and has no bicycle
facilities.
Middlefield and Embarcadero have continuous sidewalks on both sides, and El
Camino Real has them for most of its length in the city.
Bicyclists were counted at four intersections along Middlefield Road, at two
intersections along Embarcadero Road, and at three intersections along El Camino Real.
The intersections chosen offered a representative mixture of arterials, collectors, and
neighborhood streets; adult commuters, college students, and schoolchildren; and on-road
bicycle lanes, sidewalk bicycle paths, and roadways without special bicycle facilities.
All but two intersections were signalized; these two had stop signs on the minor street.
Nearly
3000 cyclists were observed during a one-day count of 8 hours at each intersection. For
each cyclist entering any leg of the intersection, observers trained by the
Transportation Division collected data on approximate age (estimated as either 17 years of
age and under or 18 and older), sex (male or female), direction of travel (with or against
the direction of traffic on the roadway), and position (either in the roadway, including
bicycle lanes, or on the sidewalk, including bicycle paths and crosswalks).
Data Analysis
Data
analysis is based on figures for the May 1987 bicyclist counts and for July 1985June
1989 police-reported accidents, extending approximately two years before and two years
after the exposure counts. To eliminate as many extraneous influences as possible, the
accidents analyzed were restricted to those that took place at intersections along the
three arterial streets where the counts were made. Of 92 such accidents, information for
all four variables was available for 89; only these 89 accidents are analyzed here. The
results identify risk factors for bicycle-motor vehicle collisions at intersections.
We
quantify the risk of a bicycle-motor vehicle collision in two ways. First, we define the
risk for any group of bicyclists as (a/A)/(b/B), where a is the number of accidents that
occur to the group, A is the total number of accidents, b is the number of bicyclists in
the group, and B is the total number of bicyclists. In this study A = 89 and B = 2976.
Risk is proportional to the accident rate per bicyclist: the lower the risk, the lower the
likelihood of an accident. By definition, the average risk of all bicyclists in the
study is exactly 1, in arbitrary units.
We also
make a number of binary comparisons between groups, by calculating the ratio of their
risks. We test this ratio for statistical significance by calculating the expected number
of accidents for each of the two groups, based on the assumption that accidents should be
distributed in the same proportion as exposures. We then compare the number of accidents
expected to the number observed, using a 2 test with Yatess correction for
continuity and one degree of freedom. This test determines the probability p that any
discrepancy (equivalent to a risk ratio different from 1) is due to chance rather than to
a real difference in risk. We report the result as an upper bound, and only when
p<0.05. If p<0.01 the upper bound is given only as the next higher power of ten.
The
analysis sums accident and exposure data from Middlefield, Embarcadero, and El Camino
Real. Because the risk of a bicycle-motor vehicle collision should be proportional to the
number of motor vehicles as well as to the number of bicyclists, these three streets,
which have different traffic volumes, might be expected to have different accident rates
per bicyclist, and it might therefore be misleading to combine data from them. Analysis of
the three corridors separately, however, shows that the overall risk (as defined above)
along Middlefield is 1.08, along Embarcadero 0.97, and along El Camino 0.96for all
practical purposes identical. For the four major binary comparisons listed in the next
section, Results, we have also analyzed the data for each corridor
independently; we find that, although the risks and risk ratios naturally vary somewhat
from corridor to corridor, the same patterns emerge. We therefore feel confident that no
errors are introduced by combining the three corridors in order to increase the
statistical significance of the comparisons. Unless specified, the results presented
here are based on this combined data.
Results
Age
Table 2
compares the accident risk for bicyclists 18 and older with the risk for those 17 and
younger. The important columns are Risk, Risk Ratio, and
p; the other columns show the data from which these numbers are derived. The
table shows that older bicyclists incur a risk of colliding with a motor vehicle 1.8 times
as great as younger ones, and the difference is statistically significant (p<0.01). The
older bicyclists have a higher risk in all six major subgroups; in four the difference
is significant.
This
finding was unexpected: we had anticipated that older, more experienced bicyclists would
have fewer accidents. The 1992 FARS, for instance, reports that the fatality rate per
million population for bicyclists between the ages of 5 and 15 was more than two and a
half times greater than the rate for older bicyclists.5 U.S. Consumer Product Safety
Commission statistics show 61 percent of bicycle injuries occurring between the ages of 5
and 14.2 We suggest these explanations for our result:
It might conceivably be a statistical anomaly, although the highly significant
result for bicyclists riding with traffic (p<10-3) makes this unlikely. The accident
rate for older bicyclists was greater in each of the three study corridors; in the
Embarcadero corridor the risk ratio was 3.3, and this was statistically significant at
p<0.03.
Few previous studies have allowed for the numbers of bicyclists exposed to
accidents in each age group. (A new Consumer Product Safety Commission Study attempts to
classify accident characteristics and estimate rider exposure based on telephone surveys.6) The FARS
per capita rate is based on population figures, but the fraction of the population that
cycles is far greater for children than for adults. Where there are a large number of
younger bicyclists on the road, they may dominate accident statistics even if their
accident rate is less than that of older bicyclists.
Younger bicyclists may ride more slowly or cautiously, or in larger groups that
are more easily seen by motorists. Analysis of individual accidents shows that older
cyclists are more likely to be the victims of motorist errorsin particular, failure
to yield during a left turn or at a traffic control device.
The
Effective Cycling program then being offered in the Palo Alto middle schools, and other
safety measures, may have had a positive influence on the behavior of younger bicyclists.
If so, it might be beneficial to extend similar educational measures to adult bicyclists.
Sex
Although
Table 3 shows a slightly greater overall risk to male bicyclists than to females, this
difference is not consistent across subgroups and is not statistically significant. The
value of this ratio in the three corridors separately ranged from 0.7 to 2.6, none
statistically significant. We conclude that accident risk does not depend on the
bicyclists sex.
FARS, in
contrast, reports that the fatality rate for males in 1992 was seven times as high as for
females.5 Again, this rate is based on population figures, rather than on the number of
male and female cyclists actually on the road.
Direction of Travel
Table 4
shows that all categories of bicyclists traveling against the direction of traffic flow
are at greatly increased risk for accidentson average 3.6 times the risk of those
traveling with traffic, and as high as 6.6 times for those 17 and under. This result is
readily explained: because motorists normally scan for traffic traveling in the lawful
direction, wrong-way traffic is easily overlooked. To give only a single example, a
motorist turning right at an intersection scans to the left for approaching traffic on
the new road, and cannot see or anticipate a fast-moving wrong-way bicyclist approaching
from the right. (This is the one of the most common types of bicycle-motor vehicle
collisions in Palo Alto.)
This
finding provides compelling justification for current traffic law, which requires
bicyclists on the roadway everywhere in the United States to travel in the same
direction as other traffic. It also implies that vigorous enforcement of this law, for
both adults and children, can substantially reduce the number of bicycle-motor vehicle
collisions, and should receive high priority in any bicycle program.
Two
points about Table 4 deserve comment. First, the conclusion is extremely robust: wrong-way
bicycling is risky at an overwhelmingly high level of significancep<<10-5 for
the category as a whole, p<10-5 in four out of seven subgroups, and p<10-4 and 10-3
for two others. In the remaining subgroup, on the roadway, only 5 percent of bicyclists
(108 of 2005) traveled against traffic, and only 5 accidents occurred there (compared to
2.5 expected); these small numbers limit any statistical significance.
Second,
wrong-way bicycling is dangerous for all subgroups of bicyclistsincluding those
traveling on the sidewalk, who may at first seem to be protected against collisions with
motor vehicles. In fact, sidewalk bicyclists enter into conflict with motorists at every
intersection (including driveways), and these are exactly the points where most
bicycle-motor vehicle collisions occur. Wrong-way sidewalk bicyclists are at particular
risk because they enter the point of conflict from an unexpected direction, just as they
would on the roadway.
Nonetheless, unlike the roadway, the direction of sidewalk bicycling is usually
unregulated or ineffectively regulated. Off-road bicycle paths are normally intended for
two-way travel, and whether intended for it or not are almost invariably used that way.
Sidewalks and paths can present risks even for bicyclists traveling in the
direction of traffic. These risks are discussed in the next section.
Position on the Road
Table 5
compares the risks of bicycling on the sidewalk (including bicycle paths and crosswalks)
and on the roadway (including bicycle lanes). Because the idea that sidewalk bicycling can
be dangerous may be unfamiliar or counterintuitive, Table 5 analyzes the risks for every
possible combination of observed bicyclist characteristics (age, sex, and direction of
travel).
The
average cyclist in this study incurs a risk on the sidewalk 1.8 times as great as on the
roadway, and the result is statistically significant (p<0.01). The risk on the sidewalk
is higher than on the roadway for both age groups, for both sexes, and for wrong-way
travel; the risk for right-way travel on the sidewalk appears to be less than that on the
roadway, but this result is misleading, as explained in the Appendix. Altogether the
sidewalk risk is higher for 24 of the 27 categories, and for six of these the difference
is statistically significant; for many groups the number of accidents expected is too
small to attain significance.
The
greatest risk found in this study is for bicyclists over 18 traveling against traffic on
the sidewalk. Each of these three characteristics is hazardous in itself; combined, they
present 5.3 times the average risk.
Table 5
demonstrates that sidewalks or paths adjacent to a roadway are usually not, as
non-cyclists expect, safer than the road, but much less safe. This conclusion is already
well established in existing standards for bikeway design, although in our experience it
is not widely known or observed. Two principal standards, the 1981 AASHTO Guide for
Development of New Bicycle Facilities7 and the California Highway Design Manuals
chapter on Bikeway Planning and Design8, find that the designated use
of sidewalks as bikeways is unsatisfactory. The 1981 AASHTO Guide and the 1983
version of the California Manual9 offer an extensive list of reasons for this
recommendation, including wrong-way travel and blind conflicts at intersections and
driveways. (Palo Altos sidewalk bicycle paths were established before these design
criteria were adopted.) The California Manual also finds that bike paths immediately
adjacent to streets and highways are not recommended, and the 1983 version
enumerates many of the same reasons that apply to sidewalks. The revised 1991 AASHTO
Guide for the Development of Bicycle Facilities10 incorporates language on
paths nearly identical to that of the 1983 California Manual.
Tables 3
and 4 bear out the explanations given for these design recommendations. Table 4 shows that
wrong-way sidewalk travel is 4.5 times as dangerous as right-way sidewalk travel.
Moreover, both Table 4 and Table 5 show that sidewalk bicycling promotes wrong-way travel:
315 of 971 sidewalk bicyclists (32 percent) rode against the direction of traffic,
compared to only 108 of 2005 roadway bicyclists (5 percent).
Even
right-way sidewalk bicyclists can cross driveways and enter intersections at high speed,
and they may enter from an unexpected position and directionfor instance, on the
right side of overtaking right-turning traffic. Sidewalk bicyclists are more likely than
roadway bicyclists to be obscured at intersections by parked cars, buildings, fences, and
shrubbery; their stopping distance is much greater than a pedestrians, and they have
less maneuverability.
In
addition to the hazards of motor vehicles at intersections (including driveways),
sidewalks also present bicyclists with conflicts with pedestrians, joggers, skateboarders,
roller skaters, and wheelchairs, and with fixed objects such as parking meters, utility
poles, signposts, benches, trees, hydrants, and mailboxes. These hazards, which are not
included in the present study, might further elevate the accident rate for sidewalk
bicyclists.
Conclusions
Our
results show that bicyclists 18 or older incur 1.8 times as great a risk of collisions
with motor vehicles as younger ones. Adult bicyclists as well as children would therefore
be logical candidates for educational and enforcement measures.
There is
no significant dependence of risk on the bicyclists sex.
Bicyclists
traveling against the direction of traffic, whether on the roadway or on the sidewalk,
and regardless of age or sex, incur much greater risk than those traveling with traffic
(on average 3.6 times as great), at an overwhelmingly high level of significance. This
finding implies that vigorous enforcement of the laws against wrong-way bicycling on the
roadway, for both adults and children, can substantially reduce the number of
bicycle-motor vehicle collisions, and should receive high priority in any bicycle program.
Bicyclists
on a sidewalk or bicycle path incur greater risk than those on the roadway (on average
1.8 times as great), most likely because of blind conflicts at intersections. Wrong-way
sidewalk bicyclists are at even greater risk, and sidewalk bicycling appears to increase
the incidence of wrong-way travel.
Bicycling
on the roadway in the same direction as adjacent traffic, whether or not bicycle lanes
are designated, is not associated with increased accident risk for any group. In fact,
Table 5 shows that every group of bicyclists riding with traffic on the roadway, with one
insignificant exception, incurs a risk equal to or less than the study average (by
definition 1). If all bicyclists in the study had been riding with traffic on the roadway,
there would have been about 67 intersection accidents instead of 89.
These
results suggest that urban roadway designnot only bikeway designmust take into
account that intersections, construed broadly, are the major point of conflict between
bicycles and motor vehicles. Separation of bicycles and motor vehicles leads to blind
conflicts at these intersections. It also encourages wrong-way travel, both on sidewalks
or paths and on the roadway at either end, further increasing conflicts. Shared use of the
roadway in the same direction of travel leads to fewer conflicts and fewer accidents.
Thus the
aim of a well-designed roadway system should be to integrate bicycles and motor vehicles
according to the well-established and effective principles of traffic law and
engineering, not to separate them. This conclusion is in accord with the 1981 and 1991
AASHTO Guides and the California Highway Design Manual, and with our own experience as
bicyclists. The goal of integration can be promoted through the use of wide, smooth
outside lanes that encourage bicyclists to travel on the roadway rather than on an
adjacent sidewalk or path. This study did not examine the difference, if any, between
roads with and without designated bicycle lanes.
Sidewalk
bicycling adjacent to busy streets with many intersections presents special dangers, and
should not be encouraged through the construction or designation of bicycle paths parallel
to the street. Where sidewalk bicycling is permitted, it is desirable to maintain clear
sight lines at intersections of sidewalks with streets and driveways. In some locations,
it may be preferable to prohibit sidewalk bicycling altogether, or to restrict it to
one-way travel.
Sidewalk
bicycling is common in residential areas by young children too inexperienced to ride in
the street. Since traffic speeds and volumes tend to be lower on these streets, and
residential driveways are much less busy than business driveways, potential conflicts are
reduced, but they are not eliminated. Nevertheless, this type of sidewalk bicycling is
accepted, and it may be impractical to prohibit it. But, as the design standards state, it
is inappropriate to sign these sidewalks as bicycle facilities, and it remains important
to provide clear sight lines at intersections.
Acknowledgments
Table 6. Risk with Traffic by
Age Group
|
Sidewalk |
Roadway |
Risk Ratio, |
Category |
Bicyclists Observed |
Accidents Reported |
Risk |
Bicyclists Observed |
Accidents Reported |
Risk |
Sidewalk to Roadway |
17, with traffic |
455 |
5 |
0.4 |
680 |
6 |
0.3 |
1.2 |
18, with traffic |
201 |
8 |
1.3 |
1217 |
37 |
1.0 |
1.3 |
Total with traffic |
656 |
13 |
0.7 |
1897 |
43 |
0.8 |
0.9 |
The
authors would like to thank Gayle Likens of the City of Palo Alto Transportation
Division for facilitating access to the accident reports and for arranging collection of
the exposure data on which this study is based. We would also like to recognize the
contributions of Dr. Jannette Carey to an earlier study related to this one.
Appendix: A Paradox of
Interpretation
This
appendix discusses a statistical paradox that will be of interest to mathematically
inclined readers but does not alter the study conclusions.
Despite
the clear findings described under Results, an inhomogeneous population, such
as the one in this study, can present certain pitfalls in interpretation. Among bicyclists
riding with the direction of traffic, those 17 years old or younger have an accident rate
on the sidewalk 1.2 times as high as on the roadway (Table 5). Those 18 or older have an
accident rate on the sidewalk 1.3 times as high as on the roadway. What is this ratio for
the combined groupthat is, for all bicyclists riding with traffic?
It seems
plausible that this value should be between 1.2 and 1.3, but it turns out that this is not
the case. The risk ratio for the combined group is actually 0.9. In other words, the
sidewalk appears to be safer than the roadway for the group of all bicyclists riding in
the direction of traffic, but more dangerous than the roadway for both subgroups that
compose the whole, those 17 or younger and those 18 or older!
To see
why this is so, look at Table 6, which shows the relevant rows from Table 5. The
combined risk on the sidewalk is an average of the risk to those 17 or younger and the
risk to those 18 or older, weighted according to the numbers of bicyclists. On the
sidewalk, younger bicyclists predominate, 455 to 201. The weighted average is therefore
closer to the lower value, 0.4, than to the higher one, 1.3.
On the
roadway the situation is reversed. Older bicyclists predominate, 1217 to 680. The combined
risk is therefore weighted toward the higher value, 1.0enough so that the risk for
the roadway becomes slightly higher than that for the sidewalk.
To put
it another way, the combined group consolidates two age subgroups with very different risk
patterns. Riding on the sidewalk is associated with (puts a bicyclist at risk
for) being young, which is correlated with a low accident rate (although it is lower still
for the roadway). Riding on the roadway is associated with being older, which is
correlated with a high accident rate (although again it is lower for the roadway). The
sidewalk and roadway therefore show comparable accident rates. Table 5 shows many other
such anomalies in which the risk for a combined group lies outside the range for the
subgroups.
In such
cases, the statistics for individual subgroups give a truer picture than the combined
values. If all the bicyclists in Table 6 had been riding on the roadway, at the risk found
there, about 53 accidents would have occurred, compared to the actual 56. If all the
bicyclists had been riding on the sidewalk, there would have been about 69 accidents.
Although this analysis does not demonstrate that the blind conflicts discussed earlier are
responsible for the increased hazard on the sidewalk, even in the direction of traffic, it
does show that riding on the roadway is clearly safer.
In
general, combining subgroups cannot only obscure the meaning of a statistical
analysisit can reverse its outcome. This result is known in statistics as
Simpsons paradox, after the British statistician E. H. Simpson.11 It is
never possible to be sure there is no hidden factor that will completely undermine an
analysis in this way.
Simpsons paradox
illustrates the importance of finding the causes of accidents as well as statistical
correlations. Analysis of individual sidewalk accidents in Palo Alto shows that many of
them are associated with wrong-way travel. In the same way, many more sidewalk accidents
than roadway accidents turn out to be associated with blind conflicts at intersections and
driveways. Roadways are designed to eliminate blind conflicts at intersections and
driveways; sidewalks are not. This causal analysis lends credibility to the
statistical results showing increased accident rates on sidewalks. It suggests that
sidewalk bicycling, especially against the direction of traffic, is dangerous in itself,
not because of some extraneous characteristic that happens to be more common among
sidewalk riders. It also suggests that bicycle safety can be improved by providing clear
sight lines at the intersection of sidewalks with streets and driveways, and, in some
cases, by prohibiting bicycling on sidewalks or by restricting its direction through
signs or ordinances.
1References
. U.S. Department of Transportation, National Highway
Traffic Safety Administration. 1992 Motor Vehicle Crash Data from FARS and GES.
Washington, D.C.: National Highway Traffic Safety Administration, 1993: 129-32.
2. U.S.
Consumer Product Safety Commission, National Injury Information Clearinghouse. National
Electronic Injury Surveillance System Product Summary Report, Estimates for Calendar Year
1992. Washington, D.C.: U.S. Consumer Product Safety Commission, July 1993: 9.
3. Committee
on Motor Vehicle Traffic Accident Classification. Manual on Classification of Motor
Vehicle Traffic Accidents. Chicago: National Safety Council, fifth edition, 1989: 20-23.
4. U.S.
Department of Transportation, National Highway Traffic Safety Administration, National
Center for Statistics and Analysis. Request No. 11999, February 7, 1994.
5. U.S.
Department of Transportation, National Highway Traffic Safety Administration, National
Center for Statistics and Analysis. Traffic Safety Facts 1992, Pedalcyclists. Washington,
D.C.: National Highway Traffic Safety Administration, 1993: 2.
6. Rodgers,
Gregory B., et al. Bicycle Use and Hazard Patterns in the United States. Washington, D.C.:
U.S. Consumer Product Safety Commission, June 1994.
7. American
Association of State Highway and Transportation Officials. Guide for Development of New
Bicycle Facilities. Washington, D.C.: American Association of State Highway and
Transportation Officials, 1981: 28.
8. California
Department of Transportation. Highway Design Manual, Chapter 1000, Bikeway Planning
and Design. Sacramento: California Department of Transportation, July 1, 1993:
1000-16.
9. California
Department of Transportation. Highway Design Manual, Section 7-1000, Bikeway
Planning and Design. Sacramento: California Department of Transportation, July 1,
1983: 7-1003.1A, 7-1003.4.
10. AASHTO Task Force on Geometric Design. Guide for the
Development of Bicycle Facilities. Washington, D.C.: American Association of State Highway
and Transportation Officials, 1991: 22-23, 36-37.
11. Falletta,
Nicholas. The Paradoxicon. New York: John Wiley & Sons, Inc., 1983: 136-40.
Alan Wachtel is a member
and former chairman of the Palo Alto Bicycle Advisory Committee, a volunteer citizens
group that advises the City of Palo Alto, Californias Transportation Division. As a
consultant, he has helped develop bicycle plans for Santa Clara County, Marin County, and
the City of Berkeley, and is currently working on a comprehensive bicycle plan for the
City of San Francisco. He is an Associate Member of ITE.
Diana Lewiston is a former
member of the Palo Alto Bicycle Advisory Committee. For many years she taught the
Effective Cycling program in the Palo Alto middle schools. She is the author of Bicycling
in Traffic: Intermediate Bicycle Handling & Beginning/Intermediate Urban Traffic
Skills.