BTS Technical Report: Uncovering Trends in Seasonal Transportation Data New tool analyzes airline revenue passenger-mile trend data

by Gary Feuerberg, Ph.D.

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(For current information on seasonal adjustment and for access to seasonally adjusted transportation data, see https://www.bts.dot.gov/topics/...

Figure 2: Aviation Revenue Passenger-Miles, Seasonal Influences Removed, 1994-2006

Revenue passenger-miles (millions)

Excel | CSV | Table Version

NOTE: RPM = Revenue Passenger-Miles

SOURCE: U.S. Department of...

Figure 1: Aviation Revenue Passenger-Miles, Raw Data, 1994-2006

Revenue passenger-miles (millions)

Excel | CSV | Table Version

NOTE: RPM = Revenue Passenger-Miles

SOURCE: U.S. Department of Transportation, Research...

Figure 3: "Smoothed" Airline RPM Data Showing Two Distinct Declines: September to November 2001 and December 2002 to April 2003

Revenue passenger-miles (millions)

Excel | CSV | Table Version

NOTE: RPM = Revenue Passenger-Miles...

Figure 3: "Smoothed" Airline RPM Data Showing Two Distinct Declines: September to November 2001 and December 2002 to April 2003

Revenue passenger-miles (millions)

Excel | CSV | Graphic Version

Table 1: RPMs by Carrier Region, December 2002 to April 2003

(in millions)

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Figure 2: Aviation Revenue Passenger-Miles, Seasonal Influences Removed, 1994-2006

Revenue passenger-miles (millions)

Excel | CSV | Graphic Version

BTS Technical Report: Uncovering Trends in Seasonal Transportation Data

May 2008 TR-003

Figure 5: Monthly Variation in Chicago's Weekday and Weekend Congested Hours due to Seasonal Factors

Difference in congested hours per day from the trendline

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Figure 1: Number of Congested Hours per Weekday: Monthly Average

Hours per day

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