Spatial Analysis of Bicycle Count Data: Final Project Report

2017Final Project ReportAlso listed under Contract or Grant No. UWSC8235 BPO3863PDFTech ReportWA-RD 875.3DTRT13-G-UTC40Traffic countsSpatial analysisAnnual average daily trafficTraffic estimationMapsSafetyCount DataAnnual Average Daily BicyclistsDemand EstimationWashingtonUnited StatesWashington (State). Dept. of Transportation. Office of Research and Library ServicesLowry, Michael B.University of Idaho. Dept. of Civil EngineeringPacific Northwest Transportation ConsortiumWashington (State). Department of TransportationUnited States. Dept. of Transportation. Office of the Assistant Secretary for Research and TechnologyNTL-PEDESTRIAN AND BICYCLES-BicyclesUS Transportation CollectionEvery year since 2010, volunteers from more than 50 communities have helped the Washington State Department of Transportation (WSDOT) collect bicycle count data. This project created the AADB (Annual Average Daily Bicyclists) Estimation website that communities can use to make maps of bicycle volumes across their street network using count data. Someone using the website begins by uploading a spreadsheet of short-duration count data (i.e. manual counts for a period less than 24 hours). The website analyzes the short-duration count data and seasonally adjusts the values based on continuous count data that WSDOT collects at locations throughout the state and from other sources. The seasonally adjusted values are an estimation of Annual Average Daily Bicyclists. Next, the website spatially extrapolates AADB from the count locations to every segment in the street network. The spatial extrapolation is done by predicting the flow of bicycle travel between commercial destinations and residential locations that have been synthesized from US Census bicycle commuting information. The AADB Estimation website can help communities conduct safety analysis and prioritize new bicycle infrastructure