Determining the model of tourism business district (TBD) in coastal resorts: a case study of Turkey

Article


Andriotis, K., Usun, Ç. and Dinç, Y. 2023. Determining the model of tourism business district (TBD) in coastal resorts: a case study of Turkey. Geographical Review. https://doi.org/10.1080/00167428.2023.2174436
TypeArticle
TitleDetermining the model of tourism business district (TBD) in coastal resorts: a case study of Turkey
AuthorsAndriotis, K., Usun, Ç. and Dinç, Y.
Abstract

Coastal resorts, whose dominant economic activities are those of providing an array of recreational services to tourists, reflect this specialization in their land-use patterns. Therefore, the business districts in coastal resorts have a unique morphology, landscape, and land use. However, the literature reflects that there is limited attention to the tourism business districts (TBDs) that have developed in coastal resorts. Moreover, few empirical studies have been conducted in developing countries, such as Thailand, China, and Turkey, as well as developed ones such as United States, Canada, and Italy. This study discusses the TBDs located in Turkey’s coastal resorts in terms of location, form, and function. The findings are presented statistically, and detailed maps are presented to explain the TBDs from a geographical and practical perspective. In this study, ArcGIS 10.5 software has been used to perform spatial analysis of the data. The main findings include that Turkish TBDs have similar characteristics in terms of location, form, and function compared to other coastal resorts worldwide. Therefore, it is possible to say that these similar features constitute a model in terms of land use. In addition, the statistical findings of the study are largely similar to those found in the literature.

Keywordscoastal resorts; GIS; land use; tourism business district; Turkey
PublisherTaylor and Francis
JournalGeographical Review
ISSN0016-7428
Electronic1931-0846
Publication dates
Online24 Feb 2023
Publication process dates
Deposited01 Mar 2023
Accepted06 Feb 2023
Output statusIn press
Publisher's version
License
Copyright Statement

Copyright © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

Digital Object Identifier (DOI)https://doi.org/10.1080/00167428.2023.2174436
Web of Science identifierWOS:000940307400001
LanguageEnglish
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