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Abstract: Traffic counts are an important piece of information used by transportation planners; however, while count programs are common for motor vehicles most efforts at counting non-motorized traffic – cyclists and pedestrians – are minimal. Long-term, continuous counts of non-motorized traffic can be used to estimate month of year and day of week adjustment factors that can be used to scale short-duration counts to estimates of annual average daily traffic. Here we present results from continuous counts of non-motorized traffic at 6 locations on off-street trails in Minneapolis, MN using two types of automated counters (active infrared and inductive loop detectors). We found that traffic volumes varied significantly by location, but the month of year and day of week patterns were mostly consistent across locations and mode (i.e., cycling, walking, or mixed mode). We give examples of how this information could be used to extrapolate short-duration counts to estimates of annual average daily traffic as well as Bicycle Miles Traveled (BMT) and Pedestrian Miles Traveled (PMT) for defined lengths of off-street trails. More research is needed to determine if non-motorized traffic patterns (and subsequently our adjustment factors) for off-street trails are comparable to those for on-street non-motorized travel or for other geographic areas.
Speaker Bio: Greg Lindsey specializes in environmental planning, policy, and management. His current research involves nonmotorized transportation systems, including bicycle and pedestrian infrastructure, and studies of relationships between the built environment and active transportation and physical activity. Lindsey earned his doctorate and a master's degree in geography and environmental engineering at the Johns Hopkins University. He also received a master's degree in geography and environmental studies from Northeastern Illinois University. His bachelor's degree is in urban planning and is from the University of Illinois in Urbana-Champaign.