1,929
Views
37
CrossRef citations to date
0
Altmetric
Articles

Application of cultural tourist typology in a gaming destination – Macao

Pages 949-965 | Received 25 Feb 2013, Accepted 05 Sep 2013, Published online: 08 Oct 2013
 

Abstract

The aim of the paper is to study how cultural tourist typologies apply in an urban gaming destination and how such typologies could aid in the segmentation and profiling of this niche tourist market. Results showed that there exists a certain demand for cultural tourism in Macao and there are different ways to distinguish between cultural and non-cultural tourists, as well as to identify sub-groups of cultural tourists. The three approaches used to distinguish between the two cohorts came up with different percentages of cultural tourists within the total tourist sample. Other findings showed significant differences in trip characteristics and information search behaviour between the two cohorts and among sub-groups of cultural tourists. Such information could be used for profiling purposes. The resulting profiles have implications on marketing and promotion strategies which should not focus only on tourists' primary motives but should attempt to induce or arouse their secondary interests. The methodology could be applied to other destinations hoping to develop cultural tourism.

Acknowledgement

The author would like to thank Prof. Kristopher Preacher, Vanderbilt University, for his assistance with the Fisher's exact test (Preacher, 2001) used in this study.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 273.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.