Development of estimation methodology for bicycle and pedestrian volumes based on existing counts.
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2013-10-01
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Abstract:The Colorado Department of Transportation (CDOT) adopted the Bicycle and Pedestrian Policy directive in 2009 ; stating that "...the needs of bicyclists and pedestrians shall be included in the planning, design, and operation of ; transportation facilities, as a matter of routine..." While well intentioned, this policy directive remained difficult to ; fulfill without sufficiently accurate estimates of bicycle and pedestrian volume on CDOT facilities. This research ; project enables CDOT to answer the question of whether or not these road users are being adequately ; accommodated by establishing Colorado-specific methodologies for estimating bicycle and pedestrian volumes via a ; limited sample of existing counts. Because it is not economically realistic to collect continuous count data ; throughout the entire CDOT system, there is a need to establish procedures for handling bicycle and pedestrian data ; and calculations as well as methods for estimating annual bicycle and pedestrian use from short-term counts. This ; work will facilitate improved use of CDOT’s existing investments in collecting continuous and short-term bicycle ; and pedestrian count data. It will also enable CDOT to better understand the needs of bicyclists and pedestrians as ; well as best allocate limited resources in order to properly meet those needs. ; Implementation ; Using the factoring method presented in this report, CDOT can automate the estimation of AADB and AADBP, just ; as is currently done for motor vehicle traffic. Since the method is essentially the same and the grouping of the sites ; can be automated, this should not require significant staff time. By publishing the non-motorized traffic counts and ; annual average daily bicyclists (AADB) and annual average daily bicyclists and pedestrians (AADBP) estimates on ; its website, CDOT can share this processed data with local agencies throughout the state.
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Main Document Checksum:urn:sha-512:3109b39a438a6702e90c68231d6893cfb648c31c09ec9a2e8e657eaf7ce56217ef55e01bfb72b2d413ff2059c6cc31556ce470c625840d4ee58b6bde01485a0f