Forecasting Bicycle Facility Demand

Details

• Creators:
  Machemehl, Randy ; Hall, Jenny ; Baumanis, Carolina
• Corporate Creators:
  University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Bicycle counts
  • Bicycle facilities
  • Demographics
  • Forecasting
  • Regression analysis
  • Socioeconomic factors
  • Statistical analysis
  • Travel demand
  • Weather
• Publication/ Report Number:
  2019 Project 05;CAMMSE-UNCC-2019-UTC-Project-05
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education
• Abstract:
  The objective of this report is to (1) evaluate current and past predictive models that are used for forecasting off-street bicycle facility demand; (2) create a statistical model from locally sourced data that is able to connect bicycle facility counts to time, demographic data, and weather data; (3) conclude if the statistical model can be applied to different bicycle facilities. If all objectives are met then the statistical model and findings can be used to estimate the impacts of bicycle facilities upon health, food availability, employment access and ultimately regional sustainability for any given area. To accomplish this goal, the research team will use multilinear regression to correlate the relationship between local off-street bicycle facilities count data and demographic/socioeconomic data that will enable a model that is able to accurately predict bicycle facility usage within any environment.
• Format:
  PDF
• Funding:
  69A3551747133
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/57042/dot_57042_DS1.pdf
• File Type:
  [PDF - 2.50 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:33dbb5c97a722cec302bf756215acae1f1d6f93aa8cfa0dddeed624af6b44ee400f0f141220c8ec4168400f923ed0f14511dc6a0d029cc215131f07ee08f5e88