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Transportation leadership you can trust. presented to presented by Cambridge Systematics, Inc. Co-authors TRB Transportation Planning Application Conference.

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Presentation on theme: "Transportation leadership you can trust. presented to presented by Cambridge Systematics, Inc. Co-authors TRB Transportation Planning Application Conference."— Presentation transcript:

1 Transportation leadership you can trust. presented to presented by Cambridge Systematics, Inc. Co-authors TRB Transportation Planning Application Conference Attendees MAG 2012 Airport Ground Survey and Modeling Project Tuesday, May 7 th, 2013 Rachel Copperman Kevin Tierney Arun Kuppam (CS) Michael E. Gorton (HDR) Ted Brown (MAG) Vladimir Livshits (MAG) Roger Roy (MAG)

2 Maricopa Association of Governments HDR Consulting Cambridge Systematics West Group Research Kevin Tierney Partnership With: City of Phoenix Aviation Department Phoenix-Mesa Gateway Airport Authority City of Mesa 2

3 3 Two Growing Passenger Airports Phoenix Sky Harbor International Airport (PHX) is the nations sixth-busiest passenger airport Phoenix-Mesa Gateway Airport (AZA) grew 33% from 2011 to 2012 Update 2008 Airport Sub-Model Changes in regional travel demand, the socioeconomic environment, and regional transportation networks Desired integration with new regional activity-based model

4 Airport Ground Survey Collection Data Expansion and Analysis Model Design and Development Model Calibration and Validation

5 Sampling Strata AirportTerminal (type of airlines)Primary DestinationTime period of travelSurvey Location Final Useable Survey Totals PHX: 5,247 Surveys 1,644 long-form 3,603 short-form AZA: 424 Surveys 78 long-form 346 short-form 5

6 6 Day of Week WeekdaySaturdaySunday Time-of-Day: Departure Time AM Peak: 5am – 9am Midday: 9am – 4pm PM Peak: 4pm – 8pm Night: 8pm – 5am Final Destination Short-domesticLong-domesticInternational Terminal Terminal 2Terminal 3 Terminal 4 Southwest Terminal 4 U.S. Airways Terminal 4 International

7 7 PHX Enplanements Monthly enplanements for April 2012 departure terminal Flight Schedule Data on each Flight departing from PHX in April 2012 airlinedeparture day scheduled departure time departure terminaldestination location number of seats U.S. DOT 10% Ticket Sample Number of passengers departing from PHX for April-June of 2011 next airport location final airport destination airline

8 8 DayDeparture timeDestination Arrival TimeAirlineFlight NumberEquipmentTerminal # of Seats Monday6:20 AMDFW10:30AA1514M Monday7:27 AMDFW11:45AA1770M Monday8:40 AMDFW13:00AA1364M Monday10:02 AMDFW14:20AA2222M Monday11:00 AMDFW15:20AA1492M Monday12:55 PMDFW17:15AA1894M Monday2:30 PMDFW18:50AA1518M Monday4:10 PMDFW20:25AA1802M Total monthly number of seats by: airline next airport day of week departure hour

9 9 OriginDestAirportGroupTkCarrierGroupPassengers PHXSJUPHX:ATL:SJUFL:FL1 SJUSANSJU:TPA:PHX:SANFL:US:US1 PHXRSWPHX:ATL:RSWFL:FL1 PHXSRQPHX:ATL:SRQFL:FL1 PHXSRQPHX:ATL:SRQFL:FL1 PHXSRQPHX:ATL:SRQFL:FL1 PHXSRQPHX:ATL:SRQFL:FL1 PHXSTLPHX:ATL:STLFL:FL1 PHXMKEPHX:MKEFL1 Monthly number of trips by: airline next airport originating vs. connecting flight long-domestic vs. short-domestic location

10 10 Flight Schedule Data: Total monthly number of seats by airline, next airport, day of week, and departure hour 10% Ticket Sample Data: Monthly number of trips by airline, next airport, originating vs. connecting, and long-domestic vs. short-domestic final location Monthly number of trips by: airline (converted to terminal) day of week departure time long-domestic vs. short- domestic final location originating vs. connecting next location

11 11 Monthly number of trips by segment Factor to match total enplanements by terminal Remove Passengers connecting in PHX Convert to average number of Weekday, Saturday, and Sunday Trips Average number of daily trips by: day of week departure time-of-day final destination terminal

12 12 Number of Surveys segmented by: day of week departure time- of-day final destination terminal Identify market combinations with low survey numbers (< 10 surveys) Weight survey record by Party Size

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14 14 Survey Location Mode Market Segmentation Characteristics Number of Surveys LRT shuttle LRTweekday, non-hotel23 Private CarN/A3 City Bus weekday, non-business, private home 3 Parking shuttle Private Car weekday, residents, non- hotel, AM and midday start times 43 Private Carnon-resident5 Private Carnight start time1 Rental CarN/A2 Rental car shuttle Private CarN/A3 Rental Car weekday, visitors, no PM start times 76 Outside Security Private CarN/A1

15 15 Identified Gate Surveys with matching mode and market characteristics of shuttle surveys Control totals: Weighted time-of- day distributions of Gate surveys Reweight Gate Surveys + Shuttle Surveys, controlling for Party Size

16 16 Day of Week WeekdaySaturdaySunday Time-of-Day: Departure Time (Weekday Only) AM Peak: 5am – 9amMidday: 9am – 4pmPM Peak: 4pm – 8pmNight: 8pm – 5am

17 Focused on surveying and modeling passengers at two airports Developed a multi-dimensional sampling and weighting procedure Various datasets were used in conjunction to expand air passenger surveys Survey data collection was successful in developing and hitting sampling targets 17

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