Bicycle and Pedestrian Forecasting Tools: State of the Practice

This paper summarizes the state of the practice of bicycle and pedestrian forecasting tools, and suggests potential next steps to improve them. The forecasting tools discussed in this paper differ in geographical application as well as the accessibility of the tools and data required to complete the analysis. The objectives of this paper are to evaluate the state of bicycle and pedestrian forecasting tools to better inform their use and to contribute to an ongoing conversation about opportunities for development of future forecasting methods. All tools were evaluated based on the resources necessary to complete analysis, as well as the practical application of the resulting information. The evaluation found that though many forecasting tools and required data are publicly available, the more sophisticated tools often require high levels of experience, extensive amounts of time and sometimes costly software. To better forecast bicycle and pedestrian activity in the future, accurate and regularly-collected public and private data and accessible analysis platforms are essential. It is also important to note that while this paper is organized by geographic scope, the analyst or model developer should carefully consider the scale of influence, scale of infrastructure, problem definition, and available data when choosing a forecasting tool instead of assuming a “one-size-fits-all” approach for modeling pedestrian and bicycle activity.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: White Paper
  • Features: Figures; Maps; References; Tables;
  • Pagination: 28p

Subject/Index Terms

Filing Info

  • Accession Number: 01648476
  • Record Type: Publication
  • Contract Numbers: DTFHGI-11-H-00024
  • Files: TRIS, ATRI, USDOT
  • Created Date: Oct 16 2017 10:47AM