Projection of Tourist Climate Comfort Level Period 2031-2050 in Caldera Toba Geopark
DOI:
https://doi.org/10.33394/j-ps.v11i2.7756Keywords:
Climate change, tourism climate comfort, Caldera Toba GeoparkAbstract
Tourism is one of the economic sectors that is developing relatively rapidly and has the potential to become a source of foreign exchange due to an increase in the number of tourists. Caldera Toba Geopark is one of the UNESCO-owned Geoparks in Indonesia as a tourist destination that depends on natural potential to be vulnerable to climate change. The relationship between climate and tourism from the comfort index is needed in determining tourist comfort. Climate parameters that become the calculation of the climate comfort index such as air temperature, rainfall, wind speed, length of sunshine and cloud cover are part of the thermal, physical and aesthetic aspects of climate comfort weighting. Climate projection data in this study is the RCP 4.5 scenario with the ACCESS 1-3 model. Using the TCI and HCI methods, the results of the temporal pattern analysis on the climate comfort index for the period 2031-2050 have a 'Bimodal - Shoulder Peak' distribution pattern. Based on the results of the spatial pattern analysis, the level of tourist climate comfort for the period 2031-2050 both with TCI and HCI methods is dominated by the comfortable category index where the peak comfort occurs in December with a very comfortable category. The lowest comfort level with the TCI method occurs in June in the comfortable category, while the HCI method in July with a comfortable category. In the end, the results of this study provide recommendations for the best tourist time in the Caldera Toba Geopark from September to December. The recommended geosite locations are Simanindo - Batu Hoda and Hutatinggi - Sidihoni geosites.References
Aldrian, E., & Ratri, D. (2007). Pertanyaan yang sering diajukan mengenai perubahan iklim disarikan dari IPCC Report 2007.
AnÄ‘elković, G., Pavlović, S., ÄurÄ‘ić, S, & S. Stojković. (2016). Tourism climate comfort index (TCCI) – an attempt to evaluate the climate comfort for tourism purposes: the example of Serbia. Global NEST Journal, 18(3), 482-493. https://doi.org/10.30955/gnj.001798
Boldt, M., & Borg, A. (2016). Evaluating temporal analysis methods using residential burglary data. ISPRS International Journal of Geo-Information, 5(9). https://doi.org/10.3390/ijgi5090148
BPODT. (2022). Badan Pelaksana Otorita Danau Toba (BPODT). https://www.bpodt.id/
de Freitas, C. R. (2003). Tourism climatology: Evaluating environmental information for decision making and business planning in the recreation and tourism sector. Dalam International Journal of Biometeorology. 48(1). https://doi.org/10.1007/s00484-003-0177-z
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. https://doi.org/10.1007/s00484-017-1389-y
de Freitas, C. R., Scott, D., & McBoyle, G. (2008). A second generation climate index for tourism (CIT): specification and verification. International Journal of Biometeorology, 52(5), 399–407.
Dewani, H. (2013). Tingkat Kenyamanan Iklim Daerah Tujuan Wisata Di Pulau Jawa Bagian Tengah Dengan Menggunakan Tourism Climate Index [Skripsi]. Universitas Indonesia.
Faqih, A., 2017, March. A statistical bias correction tool for generating climate change scenarios in Indonesia based on CMIP5 datasets. In IOP Conference Series: Earth and Environmental Science (Vol. 58, No. 1, p. 012051). IOP Publishing
Iwan Setiawan. (2019). Potensi Destinasi Wisata Di Indonesia Menuju Kemandirian Ekonomi. Prosiding Seminar Nasional Multi Disiplin Ilmu & Call for Papers Unisbank (Sendi_U), 53(9).
Kasten, F., & Czeplak, G. (1980). Solar and terrestrial radiation dependent on the amount and type of cloud. Solar Energy, 24(2). https://doi.org/10.1016/0038-092X(80)90391-6
Kemenparekraf RI. (2022b). Detail Destinasi Wisata Danau Toba. https://investment.kemenparekraf.go.id/destinasi/detail/6f4922f45568161a8cdf184ad2299f6d23
Mieczkowski, Z. (1985a). The tourism climatic index: a method of evaluating world climates for tourism. Canadian Geographer / Le Géographe Canadien, 29(3). https://doi.org/10.1111/j.1541-0064.1985.tb00365.x
Mieczkowski, Z. (1985b). The tourism climatic index: a method of evaluating world climates for tourism. Canadian Geographer / Le Géographe Canadien, 29(3). https://doi.org/10.1111/j.1541-0064.1985.tb00365.x
Öztürk, A & Göral, R. (2018). Climatic suitability in destination marketing and holiday climate index. An Online International Research Journal, 4(1), 619-629.
Scott, D., & McBoyle, G. (2001). Using a ‘tourism climate index’to examine the implications of climate change for climate as a tourism resource. First International Workshop on Climate, Tourism and Recreation, 69–88.
Scott, D., Rutty, M., Amelung, B., & Tang, M. (2016a). An inter-comparison of the holiday climate index (HCI) and the tourism climate index (TCI) in Europe. Atmosphere, 7(6), 80.
Scott, D., Rutty, M., Amelung, B., & Tang, M. (2016b). An inter-comparison of the Holiday Climate Index (HCI) and the Tourism Climate Index (TCI) in Europe. Atmosphere, 7(6). https://doi.org/10.3390/atmos7060080
Tang, M., 2013. Comparing the „tourism climate index‟and „holiday climate index‟in major European urban destinations (Master's thesis, University of Waterloo).
Wibowo, F. (2013a). Pelayanan Informasi Iklim dan Cuaca Untuk Membantu Adaptasi dan Mitigasi Terhadap Perubahan Iklim Dalam Pariwisata. Academia.
Wibowo, F. (2013b). Pelayanan Informasi Iklim dan Cuaca Untuk Membantu Adaptasi dan Mitigasi Terhadap Perubahan Iklim Dalam Pariwisata. Academia Press.
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