Models of U.S. Travel Demand Patterns for the Bahamas

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Abstract
An analysis of survey responses from 6,170 U.S. visitors to the Bahamas suggests that price increases in seven out of eight tourism submarkets would lead to a decrease in tourism. In terms of high (H) versus low (L) season of use, package (P) versus independent (I) travel arrangements, and single (S) versus multiple (M) destination visits, the eight submarkets were HPS, LPS, HPM, LPM, HIM, HIS, LIM, and LIS. Log-linear regression equations of demand and related elasticity values in each of these submarkets describe how trip cost per visitor can influence the total number of expected visitors in each submarket. Study results can help guide future marketing and pricing strategies in both the public and pri vate sector of the Bahamian tourism economy.
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