Evaluation of Climate Suitability for Tourism in AlUla Governorate in Madinah Region Using Tourism Climate Index (TCI)
DOI:
https://doi.org/10.35516/Hum.2025.7970Keywords:
Temperature, Relative Humidity, Precipitation, Solar Radiation, Wind, Tourism Climate Index.Abstract
Objectives: The study aims to evaluate the suitability of the climate for tourism in AlUla Governorate using the Tourism Climate Index (TCI). This involves a spatial analysis of the elements of the TCI and an assessment of thermal comfort for tourism activities.
Methods: The study used a descriptive analytical approach within Geographic Information Systems (GIS) and utilized a quantitative method to process data obtained from NASA. This data was used to derive climate element maps and determine thermal comfort using daily and daytime comfort indices. Based on the results of comfort indices, precipitation, radiation, and wind, the TCI was applied to identify the climatic comfort zones across different seasons.
Results: The study's findings indicate that the TCI during winter ranges from 68%, where the climate is suitable, to 91%, where the climate is ideal for tourism, with a spatial average of 77%. In spring, the index ranges from 74%, where the climate is "very good" for tourism, to 93%, where the climate is ideal, with an average of 87.9%. In summer, the index ranges from 70%, where the climate is "very good," to 92%, where the climate is ideal, with an average of 82%. In autumn, the index ranges from 77%, where the climate is "very good," to 93%, where the climate is ideal, with an average of 86.2%..
Conclusions: The climate in most areas of AlUla Governorate is characterized by suitability for tourism, ranging from very good to excellent across different seasons. This is corroborated by the TCI values, which range from 77% in winter to 87.9% in summer.
Downloads
References
Abuzied, S. M., Kaiser, M. F., Shendi, E. A. H., Abdel-Fattah, M. I. (2020). Multi-criteria decision support for geothermal resources exploration based on remote sensing, GIS and geophysical techniques along the Gulf of Suez coastal area, Egypt. Geothermic, 88, 101893. https://doi.org/10.1016/j.geothermics.2020.101893.
Adıgüzel, F. (2023). Calculating The Tourism Climate Index For Urban Planning: A Case Study Of Mersin Province, Journal of Gastronomy. Hospitality and Travel, 6 (3), 1253- 1266. https://doi: 10.33083/joghat.2023.334
Ahmadi, H., & Ahmadi, F. (2017). Mapping thermal comfort in Iran based on geo statistical methods and bioclimatic indices. Arab J Geosci, 10 (15), 342–354. https://doi.org/10.1007/s12517-017-3129-3.
Cao, K., & Gao, J. (2022). Assessment of climatic conditions for tourism in Xinjiang, China Kaijun Cao EMAIL logo and Jun Gao. Open Geosciences, 14, 382–392. https://doi.org/10.1515/geo-2022-0362.
Cetin, M. (2015). Determining the bioclimatic comfort in Kastamonu City. Environ Monit Assess, 187 (10). https://doi.org/10.1007/ s10661-015-4861-3.
Dogru, T., Bulut, U., Sirakaya-Turk, E. (2016). Theory of vulnerability and remarkable resilience of tourism demand to climate change: evidence from the Mediterranean Basin, TA, 21 (6), 645 – 660.
https://doi.org/10.3727/ 108354216X14713487283246.
Earth's climate data. (5/1/2024). NASA Website. Retrieved in January 5, 2024 from (https://giovanni.gsfc.nasa.gov/).
Espín-Sánchez, D., Olcina-Cantos, J., Conesa-García, C. (2023). Temporal Changes in Tourists’ Climate-Based Comfort in the Southeastern Coastal Region of Spain. Climate, 11 (230).1-20. https:// doi.org/10.3390/cli11110230.
Franke, R. (1982). Smooth Interpolation of Scattered Data by Local Thin Plate Splines, Computer and Mathematics with Applications, 8 (4), 273–281. https://www.sciencedirect.com/science/ article/pii/0898122182900098.
Hassan, E. M., Varshosaz, K., Eisakhani, N. (2015). Analysis and estimation of tourism climatic index (TCI) and temperature-humidity index (THI) in Dezfoul, IPCBEE, 85, 35–39. https://www.academia.edu/38545743/A.
Hejazizadeh, Z., Karbalaee, A., Hosseini, S.A. (2019). Comparison of the holiday climate index (HCI) and the tourism climate index (TCI) in desert regions and Makran coasts of Iran. Arab J Geosci, 12, 803. https://doi.org/10.1007/s12517-019-4997-5.
Kovacs, A., Unger, J. (2014). Modification of the tourism climatic index to central European climatic conditions–examples, IDŐJÁRÁS, 118 (2), 147–166. https://www.researchgate.net/.
Masoudi, M. (2021). Estimation of the spatial climate comfort distribution using tourism climate index (TCI) and inverse distance weighting (IDW) (case study: Fars Province, Iran). Arab J Geosci, 14, 363. https://doi.org/10.1007/s12517-021-06605-6.
Mieczkowski, Z. (1985), The tourism climatic index: a method of evaluating World. Le. Geogr, (3), 220–233. https://doi.org/10.1111/j.1541-0064.1985.tb00365.x.
Olgyay, V. (2015). Design with climate: a bioclimatic approach to architectural regionalism-new and expanded edition. Princeton University Press.
Putri, N. A, Hermawan, R., & Karlinasari,L. (2021), Measuring thermal comfort in a built environment: A case study in a Central Business District. Jakarta. IOP Conf. Ser: Earth Environ. Sci. 918 012024. https://doi.org/10.1088/1755-1315/918/1/012024.
Scott, D. J., Lemieux, C. J., & Malone, L. (2011). Climate services to support sustainable tourism and adaptation to climate change. Clim Res, 47(1–2), 111–122. https://doi.org/10.3354/cr00952.
Sultana, F., Paul, A.K. (2023). Tourism Climate Index (TCI) for Assessing the Favourable Period for Tourism Recreation Activities with the Application of Geospatial Techniques. In: Paul, A.K., Paul, A. (eds) Crisis on the Coast and Hinterland. Springer, Cham. https://doi.org/10.1007/978-3-031-42231-7_28.
Wu, F.F., Yang, X. H., Shen, Z. Y., & Yi, Z. J. (2020). Long-term trends and spatiotemporal variations of climate comfort in China during 1966-2016. Therm Sci ,24 (4), 2445–2453. https://doi.org/10.2298/ TSCI2004445W.
Yuan, M., Liu, X., Guo. J., Huang, Y., & Song, W. (2021). Analysis of Eco-Tourism Climate Resources in Xingwen, China Based on the Comfort Index and the Negative Air (Oxygen) Ion. Journal of Geoscience and Environment Protection, 9, 154-163. https://doi.org/10.4236/gep.2021.93009.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Dirasat: Human and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Accepted 2024-08-29
Published 2025-08-01


