Advance Terminal Planning Study Program Criteria Document

KANSAS CITY INTERNATIONAL AIRPORT
ADVANCE TERMINAL PLANNING STUDY
PROGRAM CRITERIA DOCUMENT
DRAFT
1.3.6 PEAK ACTIVITY FOR ENPLANEMENTS
Airport traffic demand patterns are subject to seasonal, monthly, daily, and hourly
variations. These variations result in peak periods when the greatest amount of
demand is placed upon facilities required to accommodate passenger and aircraft
movements. Peaking characteristics are critical in the assessment of existing
facilities to determine the ability to accommodate forecast increases in passenger
and operational activity throughout the study period. The objective of developing
peak period forecasts is to provide facility designs that are not under-utilized nor
over-crowded too often.
Table 1.3-2, KCI Peak Period Enplanement Forecast, shows the peak month,
design day, and peak hour ratios used to develop the peak period enplanement
forecasts for KCI. July is the peak month for passenger enplanements at KCI,
accounting for 9.8 percent of annual traffic. The flight schedule for Thursday,
July 14, 2011 was identified as being representative of a typical day of the peak
month activity and analyzed to determine the hourly peaking patterns at KCI.
Departing seats were used as a proxy for enplanements. The flight schedule data
suggested that the peak hour accounts for 11.3 percent of daily passenger
enplanements. It was assumed that the monthly, daily, and peak hour factors
would remain constant over the forecast period. As a result, peak hour
enplanements are forecast to increase from 1,900 enplanements in 2011 to
2,700 enplanements in 2030.
Table 1.3-2
KCI PEAK PERIOD ENPLANEMENT FORECAST
DRAFT
Source:
Landrum & Brown
1.3.7 PEAK ACTIVITY FOR OPERATIONS
Like passenger traffic, the operations peak has historically occurred in July. Design
day factors were developed to provide activity that represented a typical day in the
peak month. For the passenger activity, Official Airline Guide (OAG) flight
schedules were used to determine peak hour operations. For cargo, general
aviation, air taxi, and military, radar data was used to determine design day and
peak hour factors. Table 1.3-3, KCI Peak Period Aircraft Operations
Forecast, presents the peak month, design day, and peak hour ratios used to
develop the peak period aircraft operations forecast for each of the key operation
segments at KCI: commercial passenger, air cargo, general aviation including noncommercial
air taxi, and military.
Landrum & Brown Page 11
April 2013