Pedestrian Signal Safety - AAA Foundation for Traffic Safety
Pedestrian Signal Safety - AAA Foundation for Traffic Safety
Pedestrian Signal Safety - AAA Foundation for Traffic Safety
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82<br />
STUDY LIMITATIONS<br />
Several limitations should be considered when interpreting the results, as discussed below.<br />
Comparability of Intersections<br />
This study employed a cross-sectional design instead of a potentially more robust be<strong>for</strong>e-andafter<br />
design. Four intersections were selected in each jurisdiction: two with PCD signals and two<br />
with TPS. The pedestrian behavior observations were taken at approximately the same time and<br />
compared between the two types of intersections. The assumption in this cross-sectional design was<br />
that differences in pedestrian behavior observed at the two intersections could be attributed to the<br />
difference in pedestrian signals. Although similar, the intersections were different in some respects<br />
that could affect pedestrian behavior, confounding the relationship between pedestrian signals and<br />
behavior. For instance, surrounding land use, traffic volumes, pedestrian volumes, crossing distance,<br />
intersection amenities, and conflict points were potential confounders.<br />
The comparison also assumed that the same pedestrian populations were present at both sets of<br />
intersections. The project team attempted to select study intersections in close proximity to one<br />
another to minimize this concern. However, this was not always possible. For example, in Orange<br />
County, Cali<strong>for</strong>nia, the two sets of intersections were in two neighboring jurisdictions. The pedestrian<br />
populations may have been different and may have exhibited different behaviors, such as signal<br />
compliance.<br />
Weather<br />
<strong>Pedestrian</strong>s are likely to change their behavior during cold or otherwise unpleasant weather. The<br />
project team attempted to collect the pedestrian behavior data during periods of dry, clear, warm<br />
weather. However, the initial data collection in Salt Lake City, Utah occurred during a very rainy<br />
week <strong>for</strong> the city. Observations during rainy conditions were not used in the analysis; however, the<br />
prevailing weather may have modified pedestrians’ behavior during that week. This was a concern<br />
particularly <strong>for</strong> older pedestrians, who one might expect to be more likely to stay home during adverse<br />
weather, despite periods when it was not raining. Because there were not enough data from Salt Lake<br />
City, the project team revisited the city during a dryer period to supplement the data with additional<br />
observations.<br />
Survey Response Rate<br />
The pedestrian survey response rates were much lower than expected during the on-street intercept<br />
survey, particularly <strong>for</strong> older pedestrians. Because the survey was voluntary with no incentives, the<br />
responses may have been skewed toward those pedestrians who were concerned enough with<br />
intersection safety to respond to the survey and possibly were less “fearful” of strangers.<br />
Visual Determination of Age<br />
The pedestrian behavior results were examined separately <strong>for</strong> pedestrians under 65 and pedestrians<br />
65 and older. The determination of pedestrian age was made based on visual inspection only. Trained<br />
observers were used to collect the data. The observers were trained to be consistent in looking at<br />
physical attributes such as hair color, posture, and skin features to determine age. The cameras were<br />
positioned to provide a close-up view of each pedestrian as he/she crossed the intersection. Only one