782
Views
15
CrossRef citations to date
0
Altmetric
Articles

Residents’ attitudes to tourists visiting their mosques: a case study from Istanbul, Turkey

ORCID Icon &
Pages 1-21 | Received 29 Jun 2015, Accepted 29 Apr 2016, Published online: 02 Jun 2016
 

ABSTRACT

Resident perception of tourism impacts has been one of the most studied areas of tourism. However, there is an extremely limited literature on resident perceptions of religious tourism development, especially in non-Western countries. This study investigated the attitudes of local residents toward tourists visiting four important mosques in Istanbul, Turkey and their perception of religious tourism development. All residents surveyed were practicing Muslims who prayed in a mosque at least once a year. We found that, in general, local residents are supportive of tourists visiting their mosque, but the level of support may differ based on the demographic and cultural background of the residents as well as on the number of tourists visiting the mosque.

Acknowledgements

We would like to thank the following students for providing assistance with the questionnaires: Çetin Duran, Tuğba Esen, Emine Gülbaş, Betül Karakaş, Müşerref Özbey, Hacer Şahin, H. Cansın Toprak and Halil Yıldırım.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

Additional information

Funding

This work was supported by a Fatih University Grant [grant number: P51061201_Y].

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 307.00 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.