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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

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