|
3 - SERVICE MEASURES OF EFFECTIVENESS
3.1 Uninterrupted Pedestrian Facilities
Sidewalks and Walkways
The current HCM uses pedestrian space as the primary measure of
effectiveness (MOE), with mean speed and flow rates as secondary measures
(Table 2; TRB, 1994). Carrying units of area per pedestrian in
the existing HCM, the measure offers a simple, intuitive method
of service evaluation. The chapter defines capacity as 6 ft2/ped
(about 0.56 m2/ped).
TABLE 2
Existing HCM
walkway Level of Service (LOS) criteria
| LOS |
Space
|
Flow Rate
|
Average Speed
|
v/c ratio |
| |
(m2/ped) |
(ft2/ped) |
(ped/min/m) |
(ped/min/ft) |
(m/s) |
(ft/min) |
- |
| A |
>12 |
>130 |
<7 |
<2 |
<1.32 |
>260 |
0.08 |
| B |
3.7-12 |
40-130 |
23-Jul |
7-Feb |
1.27-1.32 |
250-260 |
0.08-0.28 |
| C |
2.2-3.7 |
24-40 |
23-33 |
10-Jul |
1.22-1.27 |
240-250 |
0.28-0.4 |
| D |
1.4-2.2 |
15-24 |
33-49 |
15-Oct |
1.14-1.22 |
225-240 |
0.4-0.6 |
| E |
0.6-1.4 |
15-Jun |
49-82 |
15-25 |
0.76-1.14 |
150-225 |
0.6-1.0 |
| F |
<0.6 |
<6 |
var. |
var. |
<0.76 |
<150 |
var. |
SOURCE: TRB, 1994.
Alex Sorton of Northwestern University suggests that the current LOS A
space requirement is excessive, and should be reduced from 130 ft2/ped
(12 m2/ped) to 60 ft2/ped (5.6 m2/ped).
Indeed, the Interim Materials on Highway Capacity (TRB, 1980) recommended
an even lower space threshold (3.7 m2/ped or 40 ft2/ped)
than Sorton's recommendation. This report has stated earlier that capacity
probably occurs around 75 peds/min/m, somewhat lower than HCM values.
As a point of comparison, Table 3 compares LOS values in the HCM
with those reported from other researchers. Tanaboriboon and Guyano (1989)
developed LOS standards for Bangkok, Thailand. Although probably not useful
for most areas of the United States, their data in the table highlight
the importance of cultural values and physical characteristics on LOS
breakpoints. The authors note that one result of the difference between
Thai and American LOS standards is that pedestrian facilities in Thailand
can accommodate higher flows at a given LOS. Stating that capacity limitations
do not normally dominate pedestrian facility concerns, Brilon stated that
Germany's revised pedestrian LOS standards will have breakpoints based
on density (1994). The boundaries for Polus et al.'s work correspond
to the three regimes of pedestrian flow reported by those researchers.
TABLE 3
Walkway Level of Service (LOS) thresholds
by space (m2/ped) and flow rate (ped/m/min)
|
United States of America
|
Germany
|
Israel
|
Thailand
|
| |
HCM |
Fruin |
Pushkarev-Zupana |
Brilon |
Polus et al.b
|
Tanaboriboon-Guyano |
| LOS |
(m2/ped )
|
(m2/ped)
|
(m2/ped) |
(m2/ped) |
(m2/ped) |
(m2/ped) |
| |
- |
- |
49a |
|
- |
- |
| A |
12 |
3.2 |
Dec-49 |
10 |
|
2.38 |
| B |
3.7-12 |
2.3-3.2 |
12-Apr |
3.3-10 |
|
1.60-2.38 |
| C |
2.2-3.7 |
1.4-2.3 |
4-Feb |
2-3.3 |
1.67 b |
0.98-1.60 |
| D |
1.4-2.2 |
0.9-1.4 |
1.5-2 |
1.4-2 |
1.33-1.66 |
0.65-0.98 |
| |
- |
- |
- |
- |
0.8-1.33 |
|
| E |
0.6-1.4 |
0.5-0.9 |
1-1.5 |
0.6-1.4 |
0.5-0.8 |
0.37-0.65 |
| F |
0.6 |
0.5 |
0.2-1 |
0.6 |
unknown |
0.37 |
| |
- |
- |
- |
- |
- |
- |
|
|
|
|
|
|
|
| LOS |
(ped/min/m) |
(ped/min/m) |
(ped/min/m) |
(ped/min/m) |
(ped/min/m) |
|
- |
- |
1.6a |
|
- |
- |
| A |
6.6 |
23 |
1.6-7.0 |
|
- |
28 |
| B |
6.6-23 |
23-33 |
20-Jul |
|
- |
28-40 |
| C |
23-33 |
33-49 |
20-33 |
|
40 b |
40-61 |
| D |
33-49 |
49-66 |
33-46 |
|
40-50 |
61-81 |
| |
- |
- |
- |
- |
50-75 |
|
| E |
49-82 |
66-82 |
46-59 |
|
75-95 |
81-101 |
| F |
var. |
var. |
0-82 |
|
unknown |
101 or var. |
aInstead of HCM
LOS designations "A"-"B"-"C"-"D"-"E"-"F", Pushkarev and Zupan use
"Open"-
"Unimpeded"- "Impeded"-"Constrained"-
"Crowded"- "Congested"- "Jammed"
bInstead of HCM LOS
designations "A"-"B"-"C"-"D"-"E"-"F", Polus et al. use A-B-C1-C2-D
|
SOURCES:
TRB, 1994; Fruin, 1971; Pushkarev and Zupan, 1975b; Brilon, 1994; Polus
et al., 1983; Tanaboriboon and Guyano, 1989.
| Recommendation. This study recommends
keeping the current HCM walkway LOS B, C, and D thresholds.
This study also recommends changing the capacity thresholds to the
values mentioned earlier. Table 4 summarizes the recommendations.
Figure 5 approximates the revised service levels. |
TABLE 4
Recommended HCM walkway Level of Service (LOS) criteria.
| LOS |
Space |
Flow Rate |
Average Speed |
v/c ratio |
| |
(m2/ped) |
(ft2/ped) |
(ped/min/m) |
(ped/min/ft) |
(m/s) |
(ft/min) |
|
| A |
>5.6 |
>60 |
<16 |
<5 |
>1.3 |
>255 |
0.21 |
| B |
3.7-5.6 |
40-60 |
16-23 |
7-May |
1.27-1.30 |
250-255 |
0.21-0.31 |
| C |
2.2-3.7 |
24-40 |
23-33 |
10-Jul |
1.22-1.27 |
240-250 |
0.31-0.44 |
| D |
1.4-2.2 |
15-24 |
33-49 |
15-Oct |
1.14-1.22 |
225-240 |
0.44-0.65 |
| E |
0.75-1.4 |
15-Aug |
49-75 |
15-23 |
0.75-1.14 |
150-225 |
0.65-1.0 |
| F |
<0.75 |
<8 |
var. |
var. |
<0.75 |
<150 |
var. |
FIGURE
5
|
|
Illustration
of proposed walkway Level of Service thresholds.
SOURCE: TRB, 1994; adapted from FRUIN, 1971.
|
Platoons.
The companion volume, Literature Review for Chapter 13, Pedestrians,
of the Highway Capacity Manual noted the effect of platoons on walkway
flow. Table 5 summarizes the initial research on platoons. Pushkarev and
Zupan (1975b) note that earlier research found the ability to pass
slow-moving pedestrians to be relatively unrestricted at space modules above
3.3 m2/ped, difficult between 1.7 and 3.3 m2/ped,
and essentially impossible below 1.7 m2/ped. Pushkarev and Zupan
also compared average flow rates with possible flow in platoons. They found
no difference between the flow conditions at any service level, except at
that point in "Impeded" flow (approximately LOS B) when platoons begin (1975b).
The Interim Materials on Highway Capacity (TRB, 1980) contained
platoon flow criteria. This work, relying on the "rule of thumb" mentioned
earlier, simply rewrote the recommended walkway values up one level for
platoons. The current HCM, which does not contain a platoon flow
service level table, uses different walkway values for average flow rate
and space at most service levels than those in the Interim Materials.
Therefore, one cannot simply apply the values listed in the Interim Materials
to the current HCM.
One can develop platoon flow LOS criteria based on a synthesis of the relationship
between average and platoon flow described in the companion Literature
Review, the existing HCM walkway standards for midrange LOS values
(TRB, 1994), and the earlier work of Pushkarev and Zupan (1975b)
for extreme values. For LOS A, this report uses Pushkarev and Zupan's relationship
between average and platoon flow (Figure 20 in the Literature Review)
and defines this breakpoint to be just before the discontinuity, at 1.6
ped/min/m (0.5 ped/min/ft), identical to the "Open" flow of Pushkarev and
Zupan. For LOS B through D, this study applies metricized "rule of thumb"
to 1994 HCM walkway values, by subtracting 13 ped/min/m from walkway
flow rates. For LOS E, and thus LOS F, this report uses the highest platoon
flow rate found by Pushkarev and Zupan, 59 ped/min/m. The resulting values,
shown in Table 6, provide a sound basis for determining the level of service
experienced by people who travel in platoons, such as the pedestrians shown
in Figure 6.
| Recommendation. This study recommends incorporating the
walkway platoon criteria in Table 6 into the HCM. |
TABLE 5
Platoon-adjusted walkway Level of Service (LOS) thresholds.
|
LOS
|
Space
|
Flow Rate
|
| |
Pushkarev-Zupan |
Interim Materials |
Pushkarev-Zupan |
Interim Materials
|
| |
(m2/ped) |
(ft2/ped) |
(m2/ped) |
(ft2/ped) |
(ped/min/m) |
(ped/min/ft) |
(ped/min/m) |
(ped/min/ft) |
| Aa |
>49b |
>530 |
12c |
130 |
>1.6b |
>0.5 |
6c |
2 |
| B |
4-6 |
40-60 |
4-12 |
40-130 |
15-20 |
4.5-6 |
6-20 |
2-6 |
| C |
2-4 |
24-40 |
2-4 |
24-40 |
20-33 |
6-10 |
20-33 |
6-10 |
| D |
1.5-2 |
16-24 |
1.5-2 |
16-24 |
33-46 |
10-14 |
33-46 |
10-14 |
| E |
1-1.5 |
11-16 |
1-1.5 |
11-16 |
46-59 |
14-18 |
46-59 |
14-18 |
| F |
1 |
11 |
0.6-1 |
6-11 |
59 |
18 |
59-82 |
18-25 |
|
aInstead
of HCM LOS designations "A"-"B"-"C"-"D"-"E"-"F", Pushkarev
and Zupan use
"Open"- "Impeded"-"Constrained"-
"Crowded"- "Congested"- "Jammed"
bValues given by Pushkarev
and Zupan for flow rates and space are within platoons
cValues given in the Interim
Materials for flow rates and space are under average flow
conditions
The LOS shown at each flow rate or pedestrian
space level represents the walkway LOS
(based on Interim Materials service levels) under these
average flow rates when platoons arise
|
SOURCE:
Pushkarev and Zupan, 1975b; TRB, 1980.
TABLE 6
Recommended HCM platoon-adjusted walkway
Level of Service (LOS) criteria.
| LOS |
Space |
Flow Ratea
|
| |
(m2/ped) |
(ft2/ped) |
(ped/min/m) |
(ped/min/ft) |
| A |
49 |
530 |
1.6 |
0.5 |
| B |
8-49 |
90-530 |
1.6-10 |
0.5-3 |
| C |
4-8 |
40-90 |
10-20 |
3-6 |
| D |
2-4 |
23-40 |
20-36 |
6-11 |
| E |
1-2 |
11-23 |
36-59 |
11-18 |
| F |
1 |
11 |
59 |
18 |
aFlow rate in the table
represent average flow rates over a 5 to 6 min period. The LOS shown
is the
walkway LOS under these average flow
rates when platoons arise |
FIGURE
6

|
|
Pedestrians
who know each other travel in platoons.
|
Transportation terminals
provide a special case of platoon flow. Davis and Braaksma (1987)
analyzed the pedestrian flow within an airport corridor by a "floating pedestrian"
method, in which the surveyor measures traffic parameters from within the
pedestrian stream. Table 7 shows the LOS standards developed by the authors
for platoon flow in transportation terminals. By implication, the use of
the term "transportation terminal" refers to both an airport and to those
other locations with tendencies for the platooning behavior common in airport
walkways. Note that, although maximum speed and space occur at the highest
LOS (A+ in the table), the maximum flow occurs at the boundary between LOS
D and E. Also of note, the extremely high flows in these facilities warrant
much less restrictive service criteria. To facilitate incorporation into
the HCM, one can eliminate or consolidate one of their seven service
levels (Table 8). This report consolidates Davis and Braaksma's LOS A and
B into LOS B and redesignates LOS A+ as LOS A. In effect, this expands the
transportation terminal LOS B to a range roughly coincident with platoon-adjusted
walkway criteria LOS E. In addition, LOS E reflects the capacity thresholds
suggested earlier.
| Recommendation. This study
recommends incorporating the transportation terminal criteria adapted
from Davis and Braaksma in Table 8 into the HCM. |
TABLE 7
Level of Service (LOS) thresholds for platoon flow
in transportation terminalsa.
|
LOS
|
Space
|
Flow Rate
|
Speed
|
| |
(m2/ped) |
(ped/min/m) |
(m/s) |
| A+ |
>2.3 |
<37 |
>1.4 |
| A |
1.7-2.3 |
37-46 |
1.3-1.4 |
| B |
1.3-1.7 |
46-57 |
1.2-1.3 |
| C |
1.0-1.3 |
57-68 |
1.1-1.2 |
| D |
0.8-1.0 |
68-75 |
1.0-1.1 |
| E |
0.7-0.8 |
57-75 |
0.7-1.0 |
| F |
<0.7 |
<57 |
<0.7 |
| aAirports or other facilities
where platoon flow is prevalent along pedestrian walkways
|
SOURCE:
Davis and Braaksma, 1987.
TABLE
8
Recommended HCM pedestrian Level of Service (LOS) criteria
for platoon flow
in transportation terminalsa.
|
LOS
|
Space
|
Flow Rate
|
Speed
|
| |
(m2/ped) |
(ped/min/m) |
(m/s) |
| A+ |
>2.3 |
<37 |
>1.4 |
| A |
1.7-2.3 |
37-46 |
1.3-1.4 |
| B |
1.3-1.7 |
46-57 |
1.2-1.3 |
| C |
1.0-1.3 |
57-68 |
1.1-1.2 |
| D |
0.8-1.0 |
68-75 |
1.0-1.1 |
| E |
0.7-0.8 |
57-75 |
0.7-1.0 |
| F |
<0.7 |
<57 |
<0.7 |
| aAirports or other facilities where platoon flow is prevalent
along pedestrian walkways |
Stairs.
To allow for the determination of pedestrian arterial ("network" in this
review) LOS, Virkler utilized a 20-year-old proposed ITE stairways standard
(ITE, 1976), which provided space and flow values at various stairway
LOS. Virkler states that he modified this standard somewhat "to ensure that
the basic equation of traffic flow is satisfied," although this review of
his research could discern no difference between his values and the space
and flow values given in the ITE stairways standard.
Table 9 shows the recommended HCM pedestrian LOS criteria. The values
reflect ITE's flow values, Fruin's (1971) original breakpoints for
stairway level of service, and Virkler's values for speed and volume-capacity
ratio. Note that the LOS E values of 49 and 56 ped/min/m for Virkler and
Fruin, respectively, are noticeably less than the 62 to 73 ped/min/m capacity
ranges found in the Hong Kong and London transit systems listed earlier
by Lam et al. (1995).
| Recommendation. In so far
as Virkler's paper corrects earlier research by ensuring congruence
with pedestrian traffic flow theory, his work remains the best available
for American users. This study recommends this material (Table 9)
for the HCM, pending further research on capacity limits. |
TABLE 9
Recommended HCM pedestrian Level of Service (LOS) criteria for
stairs.
|
LOS
|
Space
|
Flow Rate
|
Avg. Horiz. Speed
|
v/c ratio
|
| |
(m2/ped)
|
(ped/min/m)
|
(m/min)
|
(m/s)
|
- |
| A |
1.9
|
16
|
32
|
0.53
|
0.33
|
| B |
1.6-1.9
|
16-20
|
32
|
0.53
|
0.33-0.41
|
| C |
1.1-1.6
|
20-26
|
29-32
|
0.48
|
0.41-0.53
|
| D |
0.7-1.1
|
26-36
|
25-29
|
0.42
|
0.53-0.73
|
| E |
0.5-0.7
|
36-49
|
24-25
|
0.4
|
0.73-1.00
|
| F |
< 0.5
|
var.
|
< 24
|
< 0.40
|
var.
|
Crossflows.
A crossflow is a pedestrian flow that is roughly perpendicular to
and crosses another pedestrian stream. In general, one refers to the smaller
of the two flows as the crossflow. Khisty (1982) notes that pedestrian
crossflows occur in hallways and corridors and are "ubiquitous." Table
10 notes his suggestions for acceptable criteria regarding corridor crossflows.
These values correspond roughly with the bottom half of HCM walkway
LOS E; by terming them minimums and maximums, he implies that his values
establish LOS boundaries for crossflows.
| Recommendation. This study recommends the incorporation
into the HCM of Khisty's crossflow standards listed in Table
10 below as an interim measure pending further research. |
TABLE 10
Recommended capacity thresholds for crossflows.
|
LOS
|
Speed
|
Flowb
|
Density
|
Space
|
| |
(m/s)
|
(ped/min/m)
|
(ped/m2)
|
(m2/ped)
|
| Ea |
1
|
75
|
0.8
|
1.25
|
aKhisty
terms these threshold values "minimums" and "maximums"; by implication,
this is
LOS E.
b
Total of the major and minor flow
|
SOURCE: Khristy,
1982.
Off-Street Paths
Exclusive Pedestrian Trails. Virkler and Balasubramanian (1997),
in their discussion of flow characteristics on shared user trails, imply
that the current HCM's LOS walkway guidelines apply for exclusive
pedestrian trails.
Shared Pedestrian-Bicycle Paths. Virkler and Balasubramanian
(1997) describe a 1995 study by Hein Botma of shared pedestrian-bicycle
facilities in The Netherlands. This study develops LOS guidelines for
both pedestrians and bicyclists on the basis of the frequency of passing
(same direction) and meeting (opposite direction) other users on the
trail. Botma characterizes these two occurrences as "events," with an
overtaking equal to one event and a meeting equivalent to one-half of
an event. Under this framework, LOS F refers to "very bad quality of
traffic operation," not congestion (Botma, 1995). More specifically,
it refers to a situation where an average user experiences "hindrance"
more than 1.0 times in a 1-km trail segment. Virkler and Balasubramanian
note that, for one-way paths, pedestrians seldom overtake other pedestrians,
and thus the LOS afforded a pedestrian on a shared path depends on the
frequency with which an average pedestrian would be overtaken by bicyclists.
In Botma's discussion of his own work (1995), he poses the question
of whether it is justified to neglect hindrance due to pedestrian interactions.
As the authors of this report have observed moderate pedestrian-pedestrian
hindrances
on various mixed-use trails, it is likely that Botma's assumption of
negligible pedestrian interactions is not entirely correct.
Botma's expression describing the total number of overtakings of pedestrians
by bicyclists, Nf/s, is:
Nf/s = X T Qf Qs (1/Us -
1/Uf)
where:
X = length of site, m;
T = time period considered, s;
Qf = flow of faster group in subject direction, bicyclists/s;
Qs = flow of slower group in subject direction, pedestrians/s;
Uf = mean speed of faster group, m/s (for bicyclists); and
Us = mean speed of slower group, m/s (for pedestrians).
Using an average pedestrian speed of 1.25 m/s and an average bicyclist
speed of 5 m/s, Botma developed a LOS table for pedestrians on one-way,
two-lane shared-use paths. Table 11, which converts "frequency" of events
into period between events to eliminate fractions, provides Botma's
LOS thresholds.
TABLE
11 Level of Service (LOS) thresholds for
one-way, two-lane, mixed-use paths.
| LOS |
Period Between Events |
Service Volume |
| |
(s/event) |
(bicycles/h) |
| A |
> 150 |
< 33 |
| B |
75-150 |
33 - 64 |
| C |
35 - 75 |
65 - 136 |
| D |
20 - 35 |
137 - 240 |
| E |
15 - 20 |
241 - 320 |
| F |
< 15 |
> 320 |
SOURCE: Adapted from
Botma, 1995.
For
two-way trails, Botma states that pedestrians still seldom overtake other
pedestrians, and thus the LOS afforded a pedestrian on a shared path depends
on the frequency with which an average pedestrian experiences meetings
of and overtakings by bicyclists. Using the speed assumptions listed above
for one-way paths, Botma established a table for pedestrians traveling
on two-lane, two-way, shared-use paths. Table 12 , again substituting
period for frequency, shows Botma's service levels.
As an aside, if one applied either of the tables to an exclusive pedestrian
trail, one would always have a service level of A, regardless of pedestrian
volume, since the tables depend entirely on bicycle volume. Therefore,
Virkler and Balasubramanian's implication to use existing walkway standards
certainly seems more reasonable than the use of Botma's method for an
exclusive pedestrian facility.
TABLE 12
Level of Service (LOS) thresholds for two-way, two-lane, mixed-use
paths.
| LOS |
Period Between Events |
Service Volume |
| |
(s/event) |
(bicycles/h) |
| A |
> 95 |
< 29 |
| B |
60 - 95 |
29 - 44 |
| C |
35 - 60 |
45 - 75 |
| D |
25 - 35 |
76 - 105 |
| E |
20 - 25 |
106 - 131 |
| F |
< 20 |
> 131 |
SOURCE: Adapted from
Botma, 1995.
Virkler and Balasubramanian (1997) studied flow characteristics
on two-way, shared-use trails in both Columbia, Missouri, and Brisbane,
Australia. They found bicycling speeds of 5.95 m/s and 5.76 m/s in Missouri
and Australia, respectively, both of which were somewhat higher than the
5 m/s speed used by Botma. However, Botma uses 5 m/s for simplicity; field
studies of trails in The Netherlands show slightly higher average speeds
of 5.28 m/s (Botma, 1995). Also, they found that the standard deviations
of bicycling speeds, 2.1 m/s for Missouri and 1.33 m/s for Australia,
were much higher than the 0.83 m/s average speed reported by Botma. Finally,
they observed average "hiking" (presumably walking) speeds of 1.59 and
1.56 m/s in Missouri and Australia, respectively. Upon comparison between
predicted (by Botma's tables) and observed values, Virkler and Balasubramanian
found that their results generally supported the framework espoused by
Botma for bicyclists overtaking pedestrians.
Although not mentioned by Virkler and Balasubramanian (1997), if
one rounds the Missouri average speed measurements to the nearest 0.5
m/s (i.e., rounding bicycling speeds from 5.95 m/s to 6 m/s and walking
speeds from 1.59 m/s to 1.5 m/s), then the resulting table of values for
both one- and two-way trails will be identical to that by Botma.
Therefore, in so far as Botma's assumptions are correct, one can directly
apply Botma's pedestrian LOS tables listed above to at least one American
mixed-use trail.
| Recommendation. In light of the validation of Botma's
method on an American mixed-use path by Virkler and Balasubramanian
(1997), this study recommends the incorporation of the
Botma mixed-use path criteria in the HCM. Table 13 summarizes
the recommended LOS thresholds for these paths, identical to Botma's
values. |
TABLE 13
Recommended HCM pedestrian Level of Service (LOS) criteria
for two-lane, mixed-use paths.
| LOS |
One-Way Paths
|
Two-Way Paths
|
|
|
|
|
|
| - |
Perioda |
Service Volume |
Perioda |
Service Volume |
| |
(s/event) |
(bicycles/h) |
(s/event) |
(bicycles/h) |
| A |
> 150 |
< 33 |
> 95 |
< 29 |
| B |
75-150 |
33 - 64 |
60 - 95 |
29 - 44 |
| C |
35 - 75 |
65 - 136 |
35 - 60 |
45 - 75 |
| D |
20 - 35 |
137 - 240 |
25 - 35 |
76 - 105 |
| E |
15 - 20 |
241 - 320 |
20 - 25 |
106 - 131 |
| F |
< 15 |
> 320 |
< 20 |
> 131 |
| aPeriod between events; where an event
is either a bicycle meeting or passing a pedestrian. |
3.2
Interrupted Pedestrian Facilities
Signalized Crossings
Overview of Noncompliance. The pedestrian literature contains
several articles dealing with pedestrian disobedience of traffic signals.
In addition, anecdotal evidence suggests that assuming legal behavior
will not sufficiently resemble reality for analysis purposes. Therefore,
before considering a delay-based service measure of effectiveness in
detail, one should examine the effects of pedestrian noncompliance.
Figures 7 and 8 are illustrative of the problem.
FIGURE
7

|
|
Noncompliant
pedestrian behavior is common at this Chicago, Illinois intersection
due to low conflicting vehicle volumes.
|
Middleton (1981), bemoaning the levels of pedestrian accidents in Australia and the United States, notes the presence of what he terms an "over-supply of pedestrian facilities at signalized intersections." He notes that safety-motivated pedestrian control signals at signalized intersections may actually reduce safety by encouraging noncompliance
to avoid the "largely unnecessary delay imposed" on pedestrians. Indeed, the author observed disobedience rates as high as 70 percent in Queensland, Australia. Stating that the "very existence of this widespread lawbreaking
in the community should be sufficient evidence that the system needs attention," he reiterates an earlier suggestion by F.R. Fulsher to change
the legal meaning of the DON'T WALK signal to "Yield to Vehicles." In
so far as the resulting change in pedestrian signals from regulation
to guidance may discourage avoidance of pedestrian signals, he hypothesizes
that safety improvements may result.
FIGURE
8

|
|
Noncompliant
behavior is not limited to pedestrians at the same Chicago, Illinois
intersection.
|
The
Literature Review for Chapter 13, Pedestrians, of the Highway Capacity
Manual included a study by Rouphail (1984) noting the preference
of pedestrians for midblock crossings. However, when a pedestrian crossing
is displaced from the intersection, the increase in travel path for
many users walking along the cross-street may tend to breed signal noncompliance
in some situations, as people tend to use the intersection crosswalks
regardless of signal indication (Pretty et al., 1994).
Hunt and Griffiths (1991) note that pedestrians experience very
little delay at zebra crossings, since they always have the right-of-way.
However, they note that pedestrians who are unable or unwilling
to accept gaps in traffic during the DON'T WALK period at the signalized
pelican (pedestrian light controlled) midblock
crossings in Britain incur substantial delay. They suggest that pedestrians
crossing illegally at signalized intersections could be less safe than
those crossing at random points along a roadway since drivers approaching
a green signal will not expect to have to yield to a pedestrian.
Griffiths et al. (1984a) observed during their field studies
that significant numbers of pedestrians are prepared to begin crossing
during either flashing or steady DON'T WALK pedestrian indications.
They noted that noncompliant behavior occurred almost exclusively when
two-way conflicting vehicle flows were below 1,500/h.
Gordon and Robertson (1988) noted that driver noncompliance with
traffic signals is a serious problem as well, particularly at low-volume
intersections. They recommend a combination of higher enforcement levels,
stiffer violation penalties, education of the public, and the removal
of unnecessary informational or regulatory control devices adjacent
to intersection approaches.
Knoblauch, Pietrucha, and Nitzburg (1996) noted that, of the
pedestrians they observed during their field study of intersections
in eastern cities, those who crossed against the signal (i.e., noncompliant
pedestrians) tended to walk faster than those who crossed legally.
A study of Hong Kong pedestrians noted that pedestrians walk faster
during the red phase at signals, confirming the ubiquity of noncompliant
pedestrians (Lam et al., 1995). The authors report an average
noncompliant pedestrian crosswalk speed of 1.5 m/s in Hong Kong crosswalks,
much higher than the 1.27 m/s level observed at those facilities during
the WALK indication.
Virkler (1997a) noted that, based on his observations of intersections
in Brisbane, Australia, pedestrians typically treat about 69 percent
of the flashing DON'T WALK signal as an effective WALK. He discerns
two groups of noncompliant pedestrians: "jumpers," who start crossing
before the WALK indication begins, and "runners," who begin crossing
after the flashing DON'T WALK signal commences. Between the two groups,
he observed that the runners saved over seven times as much delay per
person as jumpers, so he focused on the behavior of the former group.
North Carolina State University (NCSU) also noticed similar noncompliant
behavior at several sites during its field study of American intersections.
NCSU calculated that pedestrians typically treated the first 5 s of
flashing DON'T WALK as a de facto WALK signal indication. Indeed, the
NCSU data-collection team observed some crossings during both flashing
DON'T WALK (which typically coincides with the latter part of the vehicular
green) and the vehicular clearance interval. Milazzo II (1996)
adjusted his volume-occupancy data collection framework to allow for
pedestrian occupancy of the crosswalk at any time during the pedestrian
clearance interval.
Viney and
Pretty (1982) examined pedestrian and vehicle interactions at
Brisbane, Australia, intersections. They observed an average WALK "extension
time" (i.e., de facto WALK) of 1.95 s with a standard deviation of 2.7
s. They used 2 s as an allowance for disobedient pedestrians.
It is important to note that changes in signal timing can affect noncompliance.
For example, the slight increase in green time and cycle length that
may occur under the assumption of reduced walking speeds will increase
pedestrian delay and probably increase pedestrian noncompliance. Of
course, the presence of excessive cycle lengths and/or unnecessary phases
also causes pedestrian delay and noncompliance. Some jurisdictions use
"early release" signal timing, where pedestrians receive the WALK before
the concurrent vehicles receive the green, in an effort to reduce pedestrian
delay. Regardless of the phasing scheme chosen, most facility users
are local pedestrians who will learn the signal timing and try to reduce
their own delay.
In summary,
any delay measure to pedestrians should include some mechanism for considering
noncompliance. Table 14 summarizes the findings of the last three research
groups mentioned; coincidentally, two of the three groups examined downtown
Brisbane, Australia. All of this empirical research seems to indicate
that pedestrians, recognizing the margin of safety built into the pedestrian
clearance interval, treat the initial part as an effective walk time.
TABLE 14
Selected de facto WALK extension times.
|
-
|
Location
|
De Facto WALK Interval,a s
|
| Viney and Pretty |
Brisbane, Australia |
WALK + 2 |
| NC State |
United Statesb |
WALK + 5 |
| Virkler |
Brisbane, Australia |
WALK + 8c or |
| |
-
|
WALK + 69% of flashing DON'T WALK
|
| |
aObserved
or calculated total effective WALK interval as used by pedestrians
bWashington, D.C.; Portland, Oregon; Atlanta; and Chicago
cVirkler only reports
the percentage of flashing DON'T WALK (clearance) time;
8 s is approximately 69% of
the 11.1-s mean clearance time for Virkler's study
|
SOURCES: Viney and
Pretty, 1982; Virkler, 1997a.
|
Recommendation. Based on the
middle range of values from the above research on noncompliance,
this study suggests the following adjustments to pedestrian signalized
crossing timing for simplicity:
WALKe = WALK + 5
Flashing DON'T WALKe
= Flashing DON'T WALK - 5
where:
WALK = nominal WALK time, s;
WALKe = effective WALK
time, s;
Flashing DON'T WALK = nominal
flashing DON'T WALK time, s; and
Flashing DON'T WALKe
= effective flashing DON'T WALK time, s.
The analyst should be aware, however,
that intersections with high conflicting traffic and/or large street
widths have excellent compliance, primarily because pedestrians
have no choice but to wait. |
Delay. Currently, no LOS standard based on pedestrian delay at signalized
intersections exists in the HCM. However, the HCM does incorporate
vehicular delay at these facilities into its LOS criteria for vehicles at
signalized intersections (Table 15). The Australian signalized intersection
software package SIDRA considers pedestrian delay (Akçelik, 1989)
as a performance measure.
The following paragraphs, which give the results of several delay studies,
provide a useful frame of reference for establishing a suitable pedestrian
delay criteria at signalized crossings.
TABLE 15
Existing HCM signalized intersection Level of Service (LOS) criteria.
| LOS |
Stopped Delay per Vehicle
|
| |
(s)
|
|
A
|
< 5
|
|
B
|
15-May
|
|
C
|
15-25
|
|
D
|
25-40
|
|
E
|
40-60
|
|
F
|
60
|
SOURCE: TRB, 1994.
Noland
(1996) states that any street crossing, regardless of the control
device used, will result in some delay to pedestrians due to caution
before entering the crosswalk. He also argues that, since average delay
to pedestrians is frequently ignored at signals, total "costs to society"
may rise due to unfavorable timing patterns. He notes that, if pedestrian
green phases remain constant while cycle lengths increase, average delay
to pedestrians can increase quite rapidly.
Griffiths et al. (1984a) examined pedestrian delay at both signalized
and unsignalized crossings in Great Britain. Table 16 shows the results.
TABLE 16
Pedestrian and vehicle delay at midblock crossings in Great Britain.
| |
Zebra |
Fixed-time Pelican |
Vehicle-actuated Pelican |
| - |
(s) |
(s) |
(s) |
| Pedestrian Delay |
1.4 |
10.1 |
9.8 |
| Vehicle Delay |
5.2 |
4.2 |
3.9 |
SOURCE: Griffiths
et al., 1984a.
The authors note that Great Britain began installing unsignalized pedestrian
crossings in 1935, with signalized pelican installations commencing in 1969.
The latter device was introduced to provide the "flexibility of a Zebra"
with the "positive command to drivers to stop." Along these lines,
Dunn and Pretty (1984) state that, provided that pelicans are a legal
device in the jurisdiction, one should always install a pelican crossing
over a standard pedestrian signalized crossing, because they provide reduced
vehicular delay with no detriment to pedestrian delay.
At a field survey of fixed-time signalized crossings in Great Britain, Griffiths
et al. (1984a) found significant increases in pedestrian delay for
increases in vehicular delay over a wide (400-1,400 veh/h) range. They did
not observe any additional effect on pedestrian delay at signalized crossings
with vehicle actuation over these volume levels.
MacLean and Howie (1980) examined the performance of pedestrian crossings
in Victoria, Australia. They found that mean pedestrian delay was 17 s at
signalized crossings.
Table 17, based on anecdotal evidence and empirical observation, provides
some maximum delay thresholds recommended by various researchers for signalized
intersections. Dixon (1996) terms the choice of 40 s for Gainesville,
Florida, a compromise value. Kaiser (1994) notes the increase in
pedestrian impatience and risk-taking behavior beyond 30 s of delay; Dunn
and Pretty (1984) also mention that pedestrians become increasingly
impatient when delayed beyond 30 s. Hunt and Griffiths (1991), noting
that risk-taking behavior increases with pedestrian delays of 30 s or more,
state that the vehicle precedence time should not exceed 40 s at a pelican
crossing in Great Britain. Of course, with sufficiently high conflicting
vehicle volume, pedestrians can face delays above 60 s (Dunn and Pretty,
1984). Under these conditions, pedestrian compliance increases, because
sufficient gaps do not exist in the vehicle stream for pedestrians to utilize.
TABLE 17
Selected thresholds for maximum pedestrian delay at signalized intersections.
|
-
|
Location
|
Maximum Recommended Pedestrian
Delaya
(s)
|
| Brilon |
Germany |
60
|
| Dixon |
Gainesville, Florida |
40
|
| Dunn and Pretty |
Australia |
30
|
| Hunt and Griffiths |
Great Britain |
30
|
| Kaiser |
United States |
30
|
| aValues typically based on observation of pedestrian
impatience and noncompliance |
SOURCES: Brilon,
1994; Dixon 1996; Dunn and Pretty; 1984; Hunt and Griffiths, 1991; Kaiser
1994.
| Recommendation. This study recommends the incorporation of pedestrian
delay as a measure of effectiveness for signalized intersections.
This study recommends the establishment of the delay thresholds shown
in Table 18, based on both the anecdotal evidence of pedestrian tolerance
of delay tabulated above and congruence with similar values for vehicles
in Chapter 9, Signalized Intersections, of the current HCM. As mentioned
above, the current HCM contains no procedures for midblock crossings.
The signalized type resembles an intersection crossing in that the
signal incorporates a time element with a limited, predictable duration
for pedestrians to legally complete their crossing. Therefore, this
study recommends the above intersection crossing criteria for signalized
midblock crossings. |
TABLE 18 Recommended
HCM pedestrian Level of Service (LOS) criteria for signalized crossing
delay.
|
LOS
|
Average Delay Per Pedestrian(s)
|
Likelihood of Pedestrian Noncompliance
|
| A |
< 10
|
Low
|
| B |
20-Oct
|
-
|
| C |
20-30
|
Moderate
|
| D |
30-40
|
-
|
| E |
40-60
|
High
|
| F |
60
|
Very High
|
Space. As was the case with walkways, the current HCM uses
pedestrian walkway space criteria as the primary MOE for street corners.
However, in this case, the methodology centers on a validated "time-space"
framework developed by Fruin and Benz (1984). It provides average
space values of 5 ft2/ped in a queue and average time values
of 3 to 5 s for moving through the corner.
The existing HCM also offers a crude method of describing the effect
of turning vehicles on pedestrians at intersections, by assuming a swept-path
for a vehicle and decrementing the crosswalk time-space available to pedestrians.
Indeed, despite the legal precedence of pedestrians over vehicles in the
crosswalk, Virkler (1997c) found that vehicles occasionally occupy
a portion of the crosswalk during the pedestrian phase.
| Recommendation. This report recommends that the HCM limit
the use of the swept-path procedure to locations with observable vehicular
noncompliance regarding pedestrian priority in crosswalks. |
Unsignalized Crossings.
Delay. The current HCM does not have a method for analyzing
unsignalized crossing facilities. However, the HCM unsignalized intersection
chapter does provide a mechanism for computing vehicular delay at these
locations. Table 19 provides delay thresholds for vehicles at (two- or all-way)
stop-controlled intersections, the most common unsignalized intersection
types in the United States.
TABLE 19
Existing HCM unsignalized intersection Level of Service (LOS)
criteria.
|
LOS
|
Average Total Delay (s/vehicle)
|
|
A
|
< 5
|
|
B
|
10-May
|
|
C
|
20-Oct
|
|
D
|
20-30
|
|
E
|
30-45
|
|
F
|
45
|
SOURCE: TRB,
1994.
As in the signalized intersection
case, it is useful to examine existing research on pedestrian delay at unsignalized
crossings to gain a feel for actual delay levels at these facilities. Dunn
and Pretty (1984) examined pedestrian and vehicle delay at Australian
and New Zealand midblock crossings. They neglected pedestrian delay at unsignalized
(zebra) crossings, however, effectively terming it negligible. They therefore
focused solely on vehicle delay for the unsignalized case.
MacLean and Howie (1980) examined the performance of pedestrian crossings
in the Australian state of Victoria. They found that mean pedestrian delay
was 1.7 s at unsignalized midblock crossings in Victoria, dramatically (and
somewhat surprisingly) less than the 17-s mean delay at signalized midblock
crossings. Mean pedestrian delay at zebra crossings was 2.3 s in metro Melbourne
but negligible in rural areas.
At low to moderate vehicle volumes, Griffiths et al. (1984a) found
little pedestrian mean delay at unsignalized crossings. They also noted
that average pedestrian delay decreases as pedestrian flow increases because
more pedestrians can take advantage of "an established pedestrian precedence."
Song, Dunn, and Black (1993) examined the interaction of pedestrians
and vehicles for pedestrians crossing at least 10 m away from a designated
crossing. The authors collected pedestrian gap acceptance characteristics
at several streets in Sydney, Australia. They divide pedestrian crossing
tactics into four categories: "double-gap," "risk-taking," "two-stage,"
and "walk'n-look," each of which serves to minimize crossing time while
still providing a degree of safety. Their approach assumes that each crossing
tactic, rather than each person, has critical gaps for the near lane, far
lane, and combined traffic streams associated with it. A corollary is that
different demographic groups will typically use a particular crossing tactic;
for example, disabled and elderly pedestrians, and mothers with children,
will often use the cautious "double-gap" tactic.
The "double-gap" tactic involves identifying a gap of size a in the
near stream and 2a in the far stream, in order to ensure successful
crossing of the entire street in one continuous motion. The "risk-taking"
tactic involves selecting individual gaps of a in each of the lane-by-lane
traffic streams. A "two-stage" crossing involves the use of a median as
a refuge. The "walk'n-look" tactic involves walking parallel to the street
in the direction of desired travel until a suitable gap arrives, then crossing
using one of the previous three tactics. Users of this tactic can essentially
eliminate crossing delay under low to moderate conflicting vehicle volumes;
in addition, the authors note that by minimizing interaction with vehicles,
little accident risk exists for users of this tactic (Song et al., 1993).
Palamarthy et al. (1994) describe available crossing tactics to pedestrians
at signalized intersections analogous to those described by Song et al.
(1993), except that a lane-by-lane crossing substitutes for the "walk'n-look"
at these locations. Palamarthy et al. found that pedestrians are more likely
to look for an overall gap rather than separate gaps in individual traffic
streams. The authors found mean critical gaps of 3.33 s for the near traffic
stream under all crossing tactics, 7.14 s for the far stream under a double-gap
crossing, 3.58 s for the far stream under a risk-taking crossing, and 3.81
s for the far stream under a two-stage crossing.
Recommendation. This report recommends the incorperation
of pedestrian delay as a measure of effectiveness for unsignalized
crossings. The study suggests the establishment of the delay levels
shown in Table 20, based on anecdotal evidence of pedestrian tolerance
of delay and congruence with similar values for vihicles in Chapter
10, Unsignalized Intersections, of the current HCM. These values
are somewhat lower than those at signalized intersections; this is
congruent with anecdotal evidence that pedestrians expect smaller
delays at unsignalized crossings and will tolerate delay.
This report notes that an inherent tradeoff generally exsists between
minimizing pedestrian delay and minimizing vehicle delay. Cities mayt
resonably choose to favor pedestrians at some intersections and vehicles
at others if it proves impossible to reduce delay to acceptable levels
to both some intersections and vehicles at others if it proves impossible
to reduce delay to accectable levels to both groups of users at all
intersections. As a result, cities may elect to install signals at
some, but not all, intersections, in an effort to serve both pedestrians
and vehicles in an effective manner. |
TABLE 20
Recommended HCM pedestrian Level of Service
(LOS) criteria
for unsignalized crossing delay.
| LOS |
Average Delay Per Pedestriana
(s) |
Likelihood of Risk-Taking Behavior
by Pedestriansb |
| A |
< 5 |
Low |
| B |
5-10 |
- |
| C |
10-20 |
Moderate |
| D |
20-30 |
- |
| E |
30-45 |
High |
| F |
>45 |
Very High |
aDelay includes
waiting on one side to begin crossing and/or waiting in the median
to complete the crossing
bLikelihood of acceptance
of short gaps |
Finally, the HCM contains no provision for a space-based measure
of effectiveness for unsignalized crossings. In this case, the periodic
element found at a signalized intersection is not as pronounced, and the
delay to pedestrians predominates.
| Recommendation. This study does not recommend the incorperation
of any space-based measures of effectiveness for unsignalized crossings. |
Other Waiting Areas
Space. The current HCM uses pedestrian space as the primary
MOE. Based on average pedestrian space, personal comfort, and degree of
internal mobility, capacity here is 2 ft2/pedestrian (0.19 m< |