Designing a Bicycle and Pedestrian Traffic Count Program to Estimate Performance Measures on Streets and Sidewalks in Blacksburg, VA
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2016-05-31
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Edition:Final 1/1/15 - 5/31/16
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Abstract:We developed and implemented a traffic count program in Blacksburg, VA to estimate performance measures of bicycle and pedestrian traffic. We deployed and validated automated counters at 101 count sites; the count sites consisted of 4 permanent reference sites and 97 short-duration count sites (~1 week of counts per site). In total we collected ~40,000 hours of bicycle and pedestrian counts during the year 2015. We used the counts to explore seasonal, daily, and hourly patterns of bicycle and pedestrian traffic. We also developed a set of day-of-year scaling factors based on the reference sites to annualize all short-duration counts to Annual-Average Daily Traffic (AADT) estimates. We explore how AADT varies by spatial location, street functional class, and level of supporting infrastructure. Our traffic count campaign covers ~10% of the transportation network in Blacksburg. We developed a set of spatial models (i.e., direct-demand models) to allow for estimation of traffic volumes at locations without traffic counts. We close by discussing how future research could help develop best practices and a consistent set of protocols across regions, states, and the country.
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