01771559

Component

https://doi.org/10.1177/03611981211011164

As data collection programs grow, cities need a way to systematically deploy counting equipment in a way that ensures robust pedestrian and bicyclist volume data are collected across a spectrum of use patterns and infrastructure contexts. This paper presents the findings from a deep dive into pedestrian and bicyclist volumes and exposure, including statistical modeling, as well as translating the outputs into an algorithm for systematically growing Seattle Department of Transportation’s nonmotorized count data collection program. The data collection location prioritization algorithm described in this paper provides a roadmap for cities and other agencies as they build their nonmotorized data collection programs.

The analyses presented in this paper were completed as part of a contract with the City of Seattle Department of Transportation. The views and opinions expressed in this article are those of the authors and do not necessarily represent the views or opinions of the City of Seattle or Toole Design. All errors are the authors’ own. © National Academy of Sciences: Transportation Research Board 2021.

English

pp 277-290

2021-10

Transportation Research Record: Journal of the Transportation Research Board

Web

References (14)

Algorithms; Cyclists; Data collection; Pedestrians; Statistical analysis; Traffic counts; Traffic volume; Travel patterns

Seattle Department of Transportation

Seattle (Washington)

Pedestrians and Bicyclists; Planning and Forecasting

TRIS, TRB, ATRI

May 10 2021 3:12PM