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

Abstract

This report summarizes data collection activities performed at eight different sites in Texas urban areas. The data\nwere collected to help develop and test bicycle and pedestrian travel demand forecasting techniques. The\nresearch team collected data about actual bicycle and pedestrian facility usage rates (i.e., 12-hour volume counts)\nand trip characteristics (i.e., trip origin and destination, length, purpose, and frequency). The volume count and\nsurvey data were collected on bicycle and pedestrian facilities in College Station, Austin, Houston, and Dallas.\nThe research team developed several preliminary findings from the data collection activities. The usage levels\nat data collection sites ranged from high-use side streets (Timber/Bizzell Street, Shoal Creek Boulevard) to high-use\nseparated paths (Brays Bayou Trail and White Rock Lake Trail) to low-use state highways (FM 2818, RM\n2222). Also, usage levels varied considerably for some sites during the three days of data collection. There was\nno apparent explanation for this day-to-day variability at some sites, but the research team will investigate this\nissue in future data analysis tasks. Useful information was gathered about bicycle and pedestrian trip generators\nand trip length distributions. This trip information will be particularly useful for developing and testing demand\nforecasting models. Several of the sites had low survey response rates, which means that the trip information\ngathered at these sites may not be representative of the entire bicycle and pedestrian population. The researchers\nmay have to supplement sites having low survey response rates with information from other sites or studies.\n

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