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Considerations for Temporal Aggregation: Applications to the US In-Flight Survey Data

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Data collection and analysis continue to be important for the travel industry to be aware of and responsive to their markets. One of the important limitations with most tourism data is that the number of interviews available can be too small to allow conclusions to be reached with the confidence desired. Many times, data are temporally aggregated to reach sufficient sample size. However, studies have shown that temporal aggregation does not always bring about plausible estimates. Thus, it is necessary to consider the pros and cons of temporal aggregation when one wants to put data aggregation into practice. The main objective of this article is to examine the considerations necessary to successfully apply temporal data aggregation within the context of the US In-Flight Survey (IFS) data. This article raises and addresses important issues related to temporal data aggregation from several perspectives.
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Keywords: Key words: Temporal aggregation; Travel variabilit

Document Type: Research Article

Affiliations: 1: *National Laboratory for Tourism and eCommerce, Department of Leisure Studies, University of Illinois at Urbana-Champaign, Champaign, IL 61820 2: †Auctor Consulting Associates, Ltd., 465 Andra Court, Cheyenne, WY 82009 3: ‡Department of Recreation, Parks and Tourism Sciences, Texas A&M University, College Station, TX 77843

Publication date: 2001-03-01

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  • The aim of Tourism Analysis is to promote a forum for practitioners and academicians in the fields of Leisure, Recreation, Tourism, and Hospitality (LRTH). As a interdisciplinary journal, it is an appropriate outlet for articles, research notes, and computer software packages designed to be of interest, concern, and of applied value to its audience of professionals, scholars, and students of LRTH programs the world over.
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