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Pages 45-50

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From page 45...
... (The spreadsheet files are available on the project description web page for TCRP Project H-28 on the TRB website: www.trb.org.) 6.1 A Framework for Analyzing Waiting Time The researchers developed a new framework for analyzing waiting time, one that accounts for how uncertainty in headway and schedule deviation affects not only how long passengers wait on the platform, but also how much time they have to budget for waiting.
From page 46...
... When the unit cost of potential waiting time is 0.5, average equivalent waiting time can also be expressed as the average of mean platform time and budgeted waiting time: where W0.95 is the 95th-percentile waiting time. 6.1.4 Service Reliability and Waiting Time The transit industry has lacked a measure of service reliability that is measured in terms of its impact on customers.
From page 47...
... Passenger waiting time distribution for Example 1. 0.00 2.00 4.00 6.00 8.00 10.00 12.00 actual waiting ideal waiting excess waiting budgeted waiting time equivalent waiting time platform waiting time (values represented by cumulative heights)
From page 48...
... 6.3.1 Waiting Time Components Passengers are assumed to have a target arrival time and to arrive at or before this time. The target is set to give passengers a very low probability of missing the bus.
From page 49...
... 49 V0.95 = budgeted depature time V0.02 = earliest likely bus dep. time = target arrival time pax arrival V = bus departure time synchronization time excess platform waiting potential waiting time excess budgeted waiting time Figure 15.
From page 50...
... Because this quantity depends on the planned headway rather than on a schedule deviation, it does not contribute to excess waiting time because it will be the same regardless of service reliability. (That would not be the case if the target arrival time were not percentile-based, e.g., if it were set at 1 min before the scheduled departure time, for example.)


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