Measurement and evaluation of transit travel time reliability
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2011-01-01
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Edition:Final Research Report
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Abstract:Transportation system customers need consistency in their daily travel times to enable them to plan their daily ; activities, whether that is a commuter on their way to work, a company setting up delivery schedules for just‐in‐time ; manufacturing, or a transit agency scheduling coaches and drivers. To understand the effects such variability has on ; transportation customers, performance measures must take typical travel times into account as well deviation from ; those typical travel times. Some travel behavior studies have even suggested that reliability in travel is more important ; than travel time. As we strive to figure out how to achieve a sustainable transportation system, further research into ; understanding reliability and how it influences mode choice is needed. Reliability research must include measures of ; reliability that can be used across modes, ways to incorporate travel time reliability into travel demand forecasting and ; analysis of competitiveness of modes partially based on travel time reliability. We would like to obtain automated ; vehicle location data from King County Metro, Sound Transit, Tri‐met and other agencies. Our intent is to begin with an ; investigation of schedule adherence, a key measure of travel time reliability, to characterize which aspects of routes ; (exclusive lanes, CBD, monthly pass use) make them more or less reliable. However, the measure of schedule adherence ; doesn’t go far enough to allow comparison to other modes in an effort to understand if it is perception or reality that ; causes potential riders to avert from transit. In addition to schedule adherence, we would like to consider other aspects ; of reliability such as the relationship between travel time and the allowance of extra time to ensure meeting a schedule. ; We would also like to develop a system which takes other factors such as ridership into account in ranking of route ; reliability to help agencies prioritize infrastructure improvements to maximize value.
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Main Document Checksum:urn:sha-512:5e3f4ed175b3eb274d000e41c668acae8b2ab34ae85523967ef0895b2408d1cb7da900c4f0a41157837cdedaf6b12a508536107606991859f8b262432bedc4f3