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Methods for estimating bicycling and walking in Washington state.

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English


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  • Abstract:
    This report presents the work performed in the first and second phases in the process of creating a method to ; calculate Bicycle and Pedestrian Miles Traveled (BMT/PMT) for the state of Washington. First, we recommend ; improvements to the existing Washington State Bicycle and Pedestrian Documentation Program to provide data for ; BMT/PMT estimates, including expanding the program geographically and installing permanent automated bicycle ; and pedestrian counters to complement the short duration count program. The method to estimate BMT/PMT relies ; on the assumption of a stratified random sample drawn from the set of all roads and paths divided into 16 groups. ; These groups are based on three spatial attributes, which were gathered from a review of the literature: ; • Level of urbanism (2 categories): Urban and Rural ; • Facility type (2 categories): Highway/Arterial and Other ; • Geographic/climatic regions (4 regions): Coast Range, Puget Lowland, Cascades, Eastern Washington ; This report describes the first steps being taken toward the goal of computing this metric. Count data from Seattle, ; Olympia, and the State’s Count Program have been gathered. To account for temporal variation, seasonal, daily and ; hourly adjustment factors have been computed based on one year of count data collected from the Fremont Bridge ; in Seattle. The short duration count sites have been grouped by the attributes described above, though most fall into ; just two groups: Puget Lowland Urban Arterial/Highway and Puget Lowland Urban Local/Collector/Path. Little or ; no data are available in most of the other groups. The roads in the state have also been divided into these 16 groups ; in order to compute total centerline miles for each group. This report outlines a sample-based method that could be ; used to compute BMT/PMT for the state and identifies both the data available for such a computation as well as the ; data gaps. It also suggests other methods that could also be used to estimate BMT/PMT to compare to the count-based method.
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    Filetype[PDF - 1.73 MB]
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    urn:sha-512:00e7294999b9a24ac43aa219e26249f7c4fd008173c0ee779f41091c093d4545c76c1fbf72c62ca64c7f8387dcc3495237b59b71a32ebc46b1ff0dca190fd025
File Language:
English
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