The Washington State Commute Trip Reduction Survey and its Applications

摘要

New data sources are emerging which can improve transportation planning and travel demandmodeling efforts. An alternative data source in Washington is the Commute Trip Reduction(CTR) survey. The CTR survey provides a rich but currently untapped data source. This paperdescribes how this data source can be used in various applications, from studying commutertravel patterns and understanding regional trends to using the commuter flows to improve transitridership models. The CTR data provides information similar to what was formerly collected bythe US Census Journey-to-Work survey, though the CTR survey is a richer data source with alarger sample size. The Journey-to-Work survey was replaced by the American CommunitySurvey (ACS), which provides a wealth of information but does not provide any informationrelated to origin-destination patterns. This limits its use in many modeling applications. The ACSis further hampered by smaller sample sizes and subsequent higher uncertainty at fine geographicdetail. The CTR survey responds to these shortcomings by offering a data source suitable for thekinds of analysis needed by today’s transportation planners.