Simultaneous Modeling of Passenger and Cargo Demand at an Airport

Forecasts for passenger and cargo demands are important parameters for airport planners. Although there are a number of studies for passenger demand in an airport, the number of studies for air cargo is much smaller. Also, these two entities are often dealt with separately in the literature. However, there can be advantages in modeling them simultaneously, especially when time series data are used for estimating the demand models. A seemingly unrelated regression (SUR) framework is followed to jointly model passenger and cargo demand at the Shahjalal International Airport at Dhaka, Bangladesh. Allowing for contemporaneous correlation between the air passenger and air cargo demand models in the SUR approach allows a more efficient and reliable estimate than ordinary least squares and individual cointegration methods. Results of the simultaneous demand modeling are used to forecast passenger and cargo demand at the airport up to 2030.

• Record URL:
  https://doi.org/10.3141/2336-08
• Summary URL:
  http://scholar.google.com/scholar_lookup?title=Simultaneous+Modeling+of+Passenger+and+Cargo+Demand+at+an+Airport&author=Z.+Wadud&publication_year=2013
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309263344
• Authors:
  • Wadud, Zia
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 63-74
• Monograph Title: Aviation 2013
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2336
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Air cargo; Demand; Forecasting; Passenger traffic; Regression analysis; Time series
• Identifier Terms: Shahjalal International Airport (Bangladesh)
• Geographic Terms: Dhaka (Bangladesh)
• Subject Areas: Aviation; Freight Transportation; Passenger Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01492985
• Record Type: Publication
• ISBN: 9780309263344
• Report/Paper Numbers: 13-0335
• Files: TRIS, TRB, ATRI
• Created Date: Sep 16 2013 10:58AM