Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Spatial Evolution of Smart Cities for Sustainable Tourism

A Case Study of Phuket Province, Thailand

Bibliographic Data

ID21216054
AuthorsKomsan KIRIWONGWATTANA, Katawut WAIYASUSRI (0000-0002-9557-1935)
Year2024
Volume55
Issue3
Pages1312-1320
Publication date2024-09-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueGeoJournal of Tourism and Geosites (JOURNAL)
Journal identifiersISSN: 2065-0817 • E-ISSN: 2065-1198
PublisherAsociatia de Geografie, Turism si Sport (PUBLISHER)
DOI10.30892/gtg.55331-1303
OpenAlexW4402796491
LanguageEN

In this research, the objective is to study the Spatial Evolution of Smart Cities for Sustainable Tourism in Phuket Province, Thailand from 2005-2024, using the Geo-informatic Technique as information for decision-making in determining the direction of Smart City. The study results found that land use patterns such as Urban and built-up land, Waterbodies, and Forest land have had an increasing trend over the past 20 years. In 2005, Urban and built-up land was found to cover 132.19 km2 (24.10% of the total area). In 2024, it was found to have greatly increased, covering 165.91 km2 (30.25% of the total area), especially in Thalang District, which is north of Phuket. The area has a wide plain landscape, and beautiful wide beaches such as Bang Tao Beach. There has been a change from agricultural land to housing developments, residential areas, restaurants, hotels, resorts and homestays. The results of this study have been prepared as a spatial database for supporting decision-making in monitoring and planning the development of areas to support the expansion of sustainable tourism in the future to become a smart city

Archaeology · Business · Economic geography · Environmental planning · Geography · Regional science · Sustainable tourism · Tourism · Smart Cities and Technologies

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae