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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Utility of Improving Nonmotorized Volume Forecasts for Bike Infrastructure</title>
      <link>https://rip.trb.org/View/2681257</link>
      <description><![CDATA[Virginia Department of Transportation (VDOT) lacks clarity on several foundational questions for bicycle and pedestrian demand forecasting: (1) the accuracy of the current forecasting method(s), (2) the full range of decisions that would benefit from more precise demand estimates, (3) the availability and reliability of existing bicycle and pedestrian count data, and (4) whether a more advanced forecasting method could be effectively adapted for Virginia. Given these four unknowns and the anticipated large expense of a Virginia-specific model, it is unclear whether VDOT should spend substantial time and resources creating a better approach for estimating nonmotorized demand. Through a literature review, survey and potentially follow-up interviews, assessment of alternative methods, evaluation of existing count data, and data analysis to evaluate the utility of improving forecasts, this research will determine if VDOT should develop a better method or continue the current approach.  ]]></description>
      <pubDate>Tue, 17 Mar 2026 09:48:42 GMT</pubDate>
      <guid>https://rip.trb.org/View/2681257</guid>
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      <title>TRC2302 - Development of Pedestrian and Bicyclist Flow Volumes and Risk Factors </title>
      <link>https://rip.trb.org/View/2215433</link>
      <description><![CDATA[Pedestrian and Bicyclist safety is a growing concern and priority for the U.S. Department of Transportation.  Fatalities for non-motorists have increased nationwide since 2009, and this increase has also been observed in Arkansas.  The first objective of this project will be to collect data on non-motorized transportation users across the state using count stations and crowdsourced data.  Traffic volume data will be overlaid with historical crash data to determine crash risks.  Recommended countermeasures will be determined to address high-risk areas and provide resources for future project planning to make Arkansas roads safer for all users.    ]]></description>
      <pubDate>Wed, 19 Jul 2023 17:33:22 GMT</pubDate>
      <guid>https://rip.trb.org/View/2215433</guid>
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      <title>Estimating Latent Bicyclist and Pedestrian Demand for Shared Use Path Design</title>
      <link>https://rip.trb.org/View/2056298</link>
      <description><![CDATA[Texas Department of Transportation's (TxDOT's) Roadway Design Manual was updated in July 2020 and incorporates considerations for and accommodations of bicyclists and pedestrians, including preferred design order toward Shared Use Paths (SUPs) compared to bicycle lanes and shared lanes. However, the Guidance does not include specific procedures to estimate the anticipated volumes of non-motorized path users. TxDOT’s Bicycle Accommodation Design Guidance makes it clear that anticipated user volumes should be considered when designing facilities. The research team will develop a simple sketch planning-level demand estimation tool that provides anticipated user volumes for SUPs. The project shall also incorporate the results into the future editions of TxDOT’s design guidance/manuals. Given the uncertainty in resources, the research team will not use an overly complicated method or a method that requires complex data or data architecture. The project shall benefit from existing data sources, including TxDOT’s Texas Bicycle and Pedestrian Count Exchange and other count data resources in the State as well as other secondary and spatial data sources. The research team will develop an easy-to-use tool responding to the needs and requirements of the intended audience while incorporating advancements to improve the accuracy of the demand estimation.]]></description>
      <pubDate>Thu, 03 Nov 2022 16:28:27 GMT</pubDate>
      <guid>https://rip.trb.org/View/2056298</guid>
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      <title>State of the Art Approaches to Bicycle and Pedestrian Counters</title>
      <link>https://rip.trb.org/View/1672456</link>
      <description><![CDATA[The objective of this project is to determine the state of practice for bicycle and pedestrian counting technologies to inform the enhancement and future growth of the North Carolina’s Non-Motorized Volume Monitoring Program (NC NMVDP). This objective will be accomplished by interviewing vendors/state departments of transportation (DOTs)/international agencies to gather information on the state of the practice for counting pedestrians and bicycles; evaluating the performance of the currently deployed Eco-Counter technology; researching recent advancements in bicycle and pedestrian counting technologies (including alternatives to the infrared and electro-magnetic loop systems currently used); identifying the costs, benefits, limitations, and operational requirements for varying technology types, including sources of error that must be accounted for to produce valid and quality data; and determining options for managing the cost and data integration across varying data collection platforms and with other state agencies and local governments. The ultimate outcome of this research will be a menu of counting technologies with an accompanying cost analysis and data integration plan that NCDOT can draw on to improve efficiencies in and enhance the NC NMVDP by matching technology types to non-motorized volume data needs at the local-, regional-, and state-level.]]></description>
      <pubDate>Wed, 11 Dec 2019 15:54:23 GMT</pubDate>
      <guid>https://rip.trb.org/View/1672456</guid>
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      <title>Bicycle and Pedestrian Documentation Project</title>
      <link>https://rip.trb.org/View/1350546</link>
      <description><![CDATA[This project will develop a protocol and recommendations for Washington State Department of Tranasportation's (WSDOT's) community partners to help determine where automated bicycle/pedestrian counters should be located and how to conduct short-duration manual counts so as to maximize accuracy in estimating Annual Average Daily Bicycle and Pedestrian Traffic (AADT).]]></description>
      <pubDate>Thu, 16 Apr 2015 01:00:57 GMT</pubDate>
      <guid>https://rip.trb.org/View/1350546</guid>
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