Analyzing Cycling Behavior During Different Time Periods Using Crowdsourced Bicycle Data

The objective of this report is to analyze the cycling behavior during different time periods in the City of Charlotte using crowdsourced bicycle data collected from Strava smartphone application, and compare different cycling behavior to provide specific recommendations accordingly on what can be done to help increase bicycle volume and build a better environment for bicycle riding. Route choice models will be developed for each time period, and the differences of each model will be identified which might not be explicitly accounted for in previous research. The proposed work in this report is to fulfill the following objectives: (1) to review and synthesize past experiences in cycling behavior analysis; (2) to compile the data needed for this project from all the available sources including Strava smartphone application data, roadway characteristics data, and other potential useful data for the follow-up work; (3) to analyze the crowdsourced bicycle data and conduct descriptive analysis; (4) to develop link-based cyclist route choice models using multiple discrete choice models; (5) to identify and compare the differences of cycling behavior between various time period; (6) to provide a choice set generation method for cyclist route choice behavior analysis; and (7) to present the structure of a Path Size Logit model showing the method to analyze cyclist route choice for potential future studies.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; Maps; References; Tables;
  • Pagination: 95p

Subject/Index Terms

Filing Info

  • Accession Number: 01760112
  • Record Type: Publication
  • Contract Numbers: 2019 Project 03
  • Files: UTC, TRIS, ATRI, USDOT
  • Created Date: Dec 1 2020 10:23AM