The types of decisions that such ridership data can inform include those relating to scheduling and operations planning (e.g., number of vehicles to put in service, schedule adjustments, and type of service); long-range planning and design (e.g., systems planning, priorities for expansion, design criteria, and station renovations); and financial planning and resource allocation (e.g., system revenue forecasts, market segment analysis, cost allocation to member communities, and prediction of revenue impacts of changes in service) [Pratt, 199 l In addition to highway and transit counts many metropolitan areas also con duct studies on pedestrian and bicycle movements. Classification schemes and sam pling techniques similar to those used in highway and transit data collection are used to determine the volume of movement and system performance for these modes as well