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Developing a Rubric and Best Practices for Conducting Counts of Non-Motorized Transportation Users
  • Published Date:
    2016-01-01
  • Language:
    English
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Developing a Rubric and Best Practices for Conducting Counts of Non-Motorized Transportation Users
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  • Edition:
    Draft Final
  • Abstract:
    Over the past five years non-motorized modes of transportation have become ever more prevalent on Utah’s roadways. Historically, these modes have not been included in traffic counts nor are they accurately represented in the long range planning models used by UDOT and the MPOs. This exclusion creates an incomplete picture of both state and local transportation systems, making it difficult to evaluate facility usage. This research created a structured approach for conducting non-motorized user counts, including which methods are most appropriate for conducting bicycle and pedestrian counts across Utah's diverse urban and rural environments. First, existing methods and technologies for counting non-motorized transportation users were identified; Second, methods were evaluated based on their appropriateness and effectiveness in different environments/conditions, and for different purposes (e.g. recreation, transportation, transit access); Third, Radar Signal and Micro Radar technologies were tested locally to identify their feasibility for use in counting non-motorized system users. After evaluating all existing count methodologies and testing new potential methods, findings were summarized and compiled into a practical guidebook. The Utah Bicycle and Pedestrian Counts Guidebook systematically walks users through a counts process by outlining necessary steps for creating a counts program, preparing to conduct counts, selecting methods and technologies for any given site, collecting count data, and synthesizing the data in a meaningful way. Recommendations from this work promote local technical innovation including the creation of a statewide online repository and storage site for non-motorized count data, which would serve as a data clearinghouse for planning and analysis.

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