Fixed-route Transit Ridership Forecasting and Service Planning Methods
TRB's Transit Cooperative Research Program (TCRP) Synthesis 66: Fixed-Route Transit Ridership Forecasting and Service Planning Methods examines the state of the practice in fixed-route transit ridership forecasting and service planning. The report also explores forecasting methodologies, resource requirements, data inputs, and organizational issues. In addition, the report analyzes the impacts of service changes and reviews transit agency assessments of the effectiveness and reliability of their methods and of desired improvements.
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accuracy Agencies Responding amount of data analysis analyze APC data Change in headway Change in route change or forecast crosstown route current ridership Dan Boyle data availability demographic data ership forecasting existing route factors fare changes farebox ﬁndings forecast ridership Four-step travel model geographic information system GRTC Implementation improvements input data Lane Transit District lessons learned Long-range plan Major new service MetroCard metropolitan planning organization mode mode choice MTA–NYCT OCTA origin/destination data prepares ridership forecasts professional judgment Regional Transportation District reliability responding agencies RICHARD CAPKA ridechecks riders ridership data ridership fore ridership forecasting methodologies route or corridor route segment route-level satisﬁed scenarios service area service changes service elasticities service levels service planning signiﬁcant similar routes survey synthesis system ridership technologies Total responding transit agencies Transit Authority transit ridership forecasting Transportation Authority TriMet trip generation rates Type of change VIA Metropolitan Transit year’s ridership