Bicycle and pedestrian travel demand forecasting : summary of data collection activities
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Bicycle and pedestrian travel demand forecasting : summary of data collection activities

Filetype[PDF-1.27 MB]


English
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  • Creators:
  • Subject/TRT Terms:
  • Publication/ Report Number:
    FHWA/TX-98/1723-2
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Texas
  • Corporate Publisher:
    Texas Transportation Institute
  • Abstract:
    This report summarizes data collection activities performed at eight different sites in Texas urban areas. The data

    were collected to help develop and test bicycle and pedestrian travel demand forecasting techniques. The

    research team collected data about actual bicycle and pedestrian facility usage rates (i.e., 12-hour volume counts)

    and trip characteristics (i.e., trip origin and destination, length, purpose, and frequency). The volume count and

    survey data were collected on bicycle and pedestrian facilities in College Station, Austin, Houston, and Dallas.

    The research team developed several preliminary findings from the data collection activities. The usage levels

    at data collection sites ranged from high-use side streets (Timber/Bizzell Street, Shoal Creek Boulevard) to high-use

    separated paths (Brays Bayou Trail and White Rock Lake Trail) to low-use state highways (FM 2818, RM

    2222). Also, usage levels varied considerably for some sites during the three days of data collection. There was

    no apparent explanation for this day-to-day variability at some sites, but the research team will investigate this

    issue in future data analysis tasks. Useful information was gathered about bicycle and pedestrian trip generators

    and trip length distributions. This trip information will be particularly useful for developing and testing demand

    forecasting models. Several of the sites had low survey response rates, which means that the trip information

    gathered at these sites may not be representative of the entire bicycle and pedestrian population. The researchers

    may have to supplement sites having low survey response rates with information from other sites or studies.

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