Using Pedestrian Count Models to Estimate Urban Trail Traffic
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Many cities are developing multiuse urban greenway trails to
be used for recreation, exercise, and transportation. Analysts need
many kinds of data about these new trails, but especially trail traffic because
of its implications for the efficient allocation of resources for trail
management. This paper addresses this need by presenting new information
about the use of trails. We adapt and test the validity of a previously
reported model that predicts hourly pedestrian crosswalk volume
from shorter sampling intervals, and we apply the model to
greenway trails. Based on 166 hours of data collection on an Indianapolis,
Indiana trail system, we develop expansion equations for sampling
intervals of five, ten, fifteen, and thirty minutes. We find that both the
equations from the previous study and our new equations provide reasonably
accurate hourly predictions. Trail managers can use these findings
to make decisions about current trail maintenance and promotion.