No abstract

This study builds on previous research on the impact of tourism advertising and argues that there are a number of likely routes through which tourism advertising influences destination choice. Data were obtained from a survey that examined the impact of Illinois travel advertising and was conducted during the fall of 2001. The results confirm that there are strong linkages among top-of-mind awareness, ad awareness, requesting travel information, and the likelihood of visiting a destination, and therefore, these constitute important routes to influencing destination choice. Differences in the effects of advertising by media channel also appear to be substantial.

This study explores multidestination travel patterns within the context of domestic travel in the United States based on the 1995 American Travel Survey household data. The results of a series of analyses show that a relatively high proportion of pleasure travel in the United States includes visits to multiple destinations; further analyses identify various patterns of multidestination travel. The findings indicate that destination marketing organizations need to identify specific destinations that can be strategically bundled to improve their marketing efforts.

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The Internet is rapidly evolving as a new tool for conducting tourism research. Given known advantages, steps to examine the possible drawbacks need to be taken to verify Internet survey methods. This article focuses, in particular, on coverage error of self-selected e-samples. Based on the response to a question regarding willingness to provide contact information on the Internet, the respondents of two conventional tourism surveys were assigned to likely, somewhat likely, and not likely groups. Analyses were conducted to identify differences between these groups in terms of demographics, travel styles, travel-planning behaviors, and trip characteristics. The results indicate that Internet-based sampling procedures create a substantial potential for bias. Therefore, use of the Internet for tourism research requires substantial caution when generalizing the findings to a population that includes nonusers and self-selected nonparticipants.