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University of North Dakota

A Review and Application of Aviation Forecasting for Airport Planners

Abstract

dc:description.abstract

<p>Forecasting is a common method of predicting facility requirements at airports. Statistical methods used in forecasting are often simple and do not require advanced statistical analysis. However, while forecasting methodologies may be simple, the assumptions necessary for those methodologies to work correctly are not always properly addressed. For example, linear regression is often used as a method of generating aviation forecasts but is reliant on the correct selection of independent variables. In order for a forecaster to produce a reliable forecast, care must be taken to select appropriate variable and comply with any additional assumptions of the methodology they select. This paper seeks to further explore those assumptions and how they influence the methodology that best fits a given airport and its forecast.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS)
Level thesis:degree_level
Independent Study
Discipline thesis:degree_discipline
Aviation
Year
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sims, Robert

Identifiers

dc:identifier.*
Repository record dc:identifier
https://commons.und.edu/theses/397
OAI identifier oai:identifier
oai:commons.und.edu:theses-1396

Chain of custody

source
Harvested from
University of North Dakota
Base URL
commons.und.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Sims, Robert. A Review and Application of Aviation Forecasting for Airport Planners. Independent Study thesis, 2016. https://commons.und.edu/theses/397