Spatiotemporal Analysis of Climate Comfort for Tourism Development in Jordan

Mohammad  Bani Domi; Khaled  Hazaymeh; Yousof  Alzghoul

doi:10.35516/hum.v49i4.2088

Authors

Mohammad Bani Domi Yarmouk University
Khaled Hazaymeh Yarmouk University
Yousof Alzghoul Yarmouk University

DOI:

https://doi.org/10.35516/hum.v49i4.2088

Keywords:

Thom’s Discomfort Index (DI), ecotourism; applied climatology, GIS, human health, Jordan

Abstract

Tourism is one of the major sectors that influences the gross domestic product of countries. In this study, Thom’s Discomfort Index (DI) is used to evaluate the long-term climate comfort of humans in a spatiotemporal context in Jordan. Geospatial models were created to generate the distribution maps of climate variables and the DI for each month of the year. The maps were classified into eight comfort levels. The monthly long-term average of one-day visitors (2005-2018) was used for evaluation of the climate comfort. Results showed clear spatiotemporal variations in climate comfort levels in the country.

The cold sensation was found from December to March in the highlands and the desert plateau, the moderate climate comfort level concentrated in April, May, and September in most of the country, and the hot comfort levels were found in Jordan Valley and the desert plateau in July and August.

Downloads

Download data is not yet available.

References

Adegoke, O. O., & Dombo, T. P. (2019). Geospatial modeling of human thermal comfort in Akure Metropolis using Thom’s discomfort index. International Journal of Environment and Bioenergy, 14(1), 40-55.

AL-Dabbas, A., Gal, Z., & Attila, B. (2018). Neural Network Estimation of Tourism Climatic Index (TCI) Based on Temperature-Humidity Index (THI)-Jordan Region Using Sensed Datasets. Carpathian Journal of Electronic & Computer Engineering, 11(2).

Al-Shorman, A., & Magablih, K. (2006). A principal components and GIS-based tourism index for Jordan. Tourism Analysis, 10(4), 377-384.

Bani Dumi, M., & Shorman, A. A. (2006). A Temporospatial Tourism Climate Index for Jordan Using GIS. Yarmouk Research Journal, 22, 89-111.

Bartier, P. M., & Keller, C. P. (1996). Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW). Computers & Geosciences, 22(7), 795-799.

Borges, P. D. A., Franke, J., da Anunciação, Y. M. T., Weiss, H., & Bernhofer, C. (2016). Comparison of spatial interpolation methods for the estimation of precipitation distribution in Distrito Federal, Brazil. Theoretical and applied climatology, 123(1), 335-348.

Choi, J. H., & Yeom, D. (2019). Development of the data-driven thermal satisfaction prediction model as a function of human physiological responses in a built environment. Building and environment, 150, 206-218.

Choudhury, A. R., Majumdar, P. K., & Datta, C. (2011). Factors affecting comfort: human physiology and the role of clothing, Improving comfort in clothing (pp. 3-60). Woodhead Publishing.

De Freitas, C. R. (2017). Tourism climatology past and present: A review of the role of the ISB Commission on Climate, Tourism and Recreation. International journal of biometeorology, 61(1), 107-114.

Hazaymeh, K., & Hassan, Q. K. (2017). A remote sensing-based agricultural drought indicator and its implementation over a semi-arid region, Jordan. Journal of Arid Land, 9(3), 319-330.

Hsu, S., Mavrogianni, A., & Hamilton, I. (2017). Comparing spatial interpolation techniques of local urban temperature for heat-related health risk estimation in a subtropical city. Procedia engineering, 198, 354-365.

Jordanian Ministry of Tourism and Antiquities, statistics reports, 2005-2019.

Li, Y., Geng, S., Yuan, Y., Wang, J., & Zhang, X. (2018). Evaluation of climatic zones and field study on thermal comfort for underground engineering in China during summer. Sustainable cities and society, 43, 421-431.

Michailidou, A. V., Vlachokostas, C., & Moussiopoulos, Ν. (2016). Interactions between climate change and the tourism sector: Multiple-criteria decision analysis to assess mitigation and adaptation options in tourism areas. Tourism Management, 55, 1-12.

Mijani, N., Alavipanah, S. K., Hamzeh, S., Firozjaei, M. K., & Arsanjani, J. J. (2019). Modeling thermal comfort in different condition of mind using satellite images: An Ordered Weighted Averaging approach and a case study. Ecological indicators, 104, 1-12.

Mohd, Z. H., & Ujang, U. (2016). Integrating multiple criteria evaluation and GIS in ecotourism: a review. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 42, 351.

Mowforth, M., & Munt, I. (2015). Tourism and sustainability: Development, globalisation and new tourism in the third world. routledge.

Musa, A., (1997). Climate and Tuorizim, An applied Study on Egypt and Syria. Demasqas, Syria.

Mushore, T. D., Odindi, J., Dube, T., & Mutanga, O. (2018). Outdoor thermal discomfort analysis in Harare, Zimbabwe in Southern Africa. South African Geographical Journal, 100(2), 162-179.

Pellicone, G., Caloiero, T., Modica, G., & Guagliardi, I. (2018). Application of several spatial interpolation techniques to monthly rainfall data in the Calabria region (southern Italy). International Journal of Climatology, 38(9), 3651-3666.

Polydoros, A., & Cartalis, C. (2014). Assessing thermal risk in urban areas–an application for the urban agglomeration of Athens. Advances in Building Energy Research, 8(1), 74-83.

Potchter, O., Cohen, P., Lin, T. P., & Matzarakis, A. (2018). Outdoor human thermal perception in various climates: A comprehensive review of approaches, methods and quantification. Science of the Total Environment, 631, 390-406.

Roshan, G., Yousefi, R., & Fitchett, J. M. (2016). Long-term trends in tourism climate index scores for 40 stations across Iran: the role of climate change and influence on tourism sustainability. International journal of biometeorology, 60(1), 33-52.

Smith, C. B., & Parmenter, K. E. (2013). Energy, management, principles: Applications, benefits, savings. Elsevier.

Song, Y., & Wu, C. (2018). Examining human heat stress with remote sensing technology. GIScience & remote sensing, 55(1), 19-37.

Thom, E. C. (1959). The Discomfort Index. Weatherwise 12, 57–61.

Timothy, D. J. (2018). Geography: the substance of tourism. Tourism Geographies, 20(1), 166-169.

Wong, D. W. (2016). Interpolation: Inverse‐Distance Weighting. International Encyclopedia of Geography: People, the Earth, Environment and Technology: People, the Earth, Environment and Technology, 1-7.