Measurement and evaluation of transit travel time reliability
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Measurement and evaluation of transit travel time reliability

  • 2011-01-01

Filetype[PDF-367.92 KB]


  • English

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    • Edition:
      Final Research Report
    • 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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