ESTIMATING DAILY BICYCLE VOLUMES USING MANUAL SHORT DURATION AND AUTOMATED CONTINUOUS COUNTS

摘要

This research describes an innovative bicycle counting program in the San Diego region with aparticular focus on describing the approach to siting 21 automated bicycle counters. The paper alsopresents a simple yet novel method for estimating average daily cycling across community-wideroadway networks, using average PM peak percentages across the 21 sites, combined with short durationmanual counts. This study represents one of the largest bicycle counting efforts of any region in the US,and promises to provide a rich source of data related to cycling trends, before-after studies, andestimation and forecasting of bicycle travel.A key finding of this study is the surprising consistency in the percentage of total daily bicycletravel occurring during the PM peak period across a variety of sites in San Diego County. This suggeststhat PM peak percentage can be used in combination with PM peak period manual counts to simplyextrapolate daily bicycle volumes, much as is done with vehicular travel and estimation.