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Using Archived AVL-APC Data to Improve Transit Performance and Management (2006) / Chapter Skim
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7.2 Distribution of Crowding Experience by Passenger
Pages 51-53

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From page 51...
... This chapter describes methods for analyzing passenger crowding. These methods have been programmed as prototypes in a spreadsheet file which is available on the project description web page for TCRP Project H-28 on the TRB website: www.trb.org.
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From page 52...
... A distribution of passengers by experienced crowding can be used to support a service quality standard such as • "During peak periods, at least 80% of our customers should be seated at the maximum load point, and 52 Load (pax) Basis Passenger Comfort TCQSM LOS 21 0.5 *
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From page 53...
... 7.2.2 Assumptions About Seated Passengers Passenger counts do not provide direct observation of how many passengers are seated or whether they are next to an empty seat. However, those figures can be estimated to a reasonable level of accuracy using three assumptions: passengers sit if they can, seats are in pairs (as is most often the case on buses)
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Key Terms

  • maximum load
  • average load
  • passenger experience
  • seated passengers
  • crowding experience

  • peak volume
  • spreadsheet file
  • description web
  • passengers sit
  • apc data

  • load segment
  • tcrp project
  • service quality
  • quality standard
  • unoccupied seat

  • worth measuring
  • provide direct
  • observed trips
  • passenger comfort
  • strongly affected

  • basis passenger
  • transverse seats
  • bus seats
  • experience los
  • thresholds based

  • service manual
  • empty seats
  • load factor
  • standing space
  • planning viewpoint


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