08Sep 2019

STUDIES OF THERMAL COMFORT IN THE JAKARTA NORTH COAST TOURISM REGION OF INDONESIA.

  • Post Graduate School of Applied Climatology, Bogor Agricultural University (IPB), Campus of IPB Darmaga, Bogor, 16680, West Java, Indonesia.
  • Post Graduate School of Landscape Architecture, Bogor Agricultural University (IPB), Campus of IPB Darmaga, Bogor, 16680, West Java, Indonesia.
Crossref Cited-by Linking logo

  • Abstract
  • Keywords
  • References
  • Cite This Article as
  • Corresponding Author

This study explored the use of thermal indices to determine the comfort of coastal tourism areas in the tropics. The study area was chosen at the Ancol Eco-Park (EPA) because this place is a nature-based tourist attraction. Located in the north of Jakarta with an altitude of 3 m above sea level (masl). The thermal indices used are Physiologically Equivalent Temperature (PET) and Universal Thermal Climate Index (UTCI). Determination of thermal sensations using the 7-region reference namely; PET in Europe, PET in Taiwan, PET in Tianjin, PET in Tel Aviv, UTCI in the Mediterranean, UTCI in Tianjin and UTCI. The category of thermal sensations from the calculation results is compared with the results of the visitor survey. Visitors who became respondents in this study were 219 people. Based on the thermal sensation criteria from 7 EPA reference areas throughout the year, they are not in the comfort zone except PET in Taiwan, namely in January, February and July. Insitu measurement results obtained PET average daily = 34.5?C and UTCI daily average = 35.5?C. The score based on the range of thermal sensations in PET in Taiwan is in the warm (uncomfortable) category. Whereas based on visitors\' answers, the score is comfortable. Environmental conditions also provide a comforting effect on visitors because the majority of visitors are interviewed in the shade such as around trees and rest areas.

  1. Blazejczyk K, Epstein Y, Jendritzky G, Staiger H, Tinz B. 2012. Comparison of UTCI to selected thermal indices. Int J Biometeorolvol 56:515?535. DOI 10.1007/s00484-011-0453-2.
  2. BrownleeM,HalloJ,KrohnB.2013.Botanicalgardenvisitors\'perceptionsoflocalclimateimpacts:Awareness,concern,andbehavioralresponses.ManagingLeisure, 18(2),97?117.
  3. Cohen Pninit, PotchterOded, Matzarakis A. 2013. Human thermal perception of Coastal Mediterranean outdoor urban environments. Applied Geography 37: 1-10. Elsevier.
  4. 2013. UjiPerubahan Rata-Rata SuhuUdara Dan Curah Hujan Di Kota Pangkalpinang.?JurnalMatematikaSains Dan Teknologi, Vol. 14, No. 1, P. 11-25. ISSN 2442-9147.
  5. Farajzadeh H, Matzarakis A. 2012. Evaluation of thermal comfort conditions in Ourmieh Lake, Iran. Theoretical and Applied Climatology, 107(3-4), 451?459. http://doi.org/10.1007/s00704-011-0492-y
  6. Hadi R, Lila K A, Gunadi I G A. 2012. EvaluasiIndeksKenyamanan Taman Kota (LapanganPuputanBadung I GustiNgurah Made Agung) Denpasar, Bali. E-JurnalAgroekoteknologiTropika, 1(1), 34?45. http://doi.org/E-Jurnal AgroekoteknologiTropika ISSN: 2301-6515 Vol. 1, No. 1.
  7. Lai Dayi, GuoDeheng, HouYuefei, Lin Chenyi, Chen Qingyan. 2014. Studies of outdoor thermal comfort in northern China. Building and Environment 77: 110-118 Contents. Elsevier.
  8. Lin Tzu-Ping, Matzarakis Andreas. 2011. Tourism climate information based on human thermal perception in Taiwan and Eastern China. Tourism Management 32: 492-500 Contents. Elsevier.
  9. Matzarakis, A. 2006. Weather and climate related information for tourism. Tourism and Hospitality Planning & Development, 3(2), 99?115. http://doi.org/10.1080/14790530600938279.
  10. Matzarakis A, Endler C, Nastos P T. 2014. Quantification of climate-tourism potential for Athens, Greece - Recent and future climate simulations. Global Nest Journal, 16(1), 43?51.
  11. Matzarakis A, Freitas C R De, Scott D. 2007. Assessment Method for Climate and Tourism Based on Daily. Tourism, 52?58.
  12. 1985. The Tourism Climat Index: A Method of Evaluating World Climate for Tourism. The Canadian Geographer / Le Geographecanadien 29, no 3 I1 985) 220-33.
  13. Moreno A, Becken S. 2009. A climate change vulnerability assessment methodology for coastal tourism. Journal of? Sustainable Tourism, 17(4),? 473?488.?? http://dx.doi.org/10.1080/09669580802651681.
  14. Nyaupane G P,&Chhetri N .2009. Vulnerability to climate change of nature-based tourism in the Nepalese Himalayas. TourismGeographies, 11(1), 95?119. http://dx.doi.org/10.1080/14616680802643359.
  15. Olya H G T, Alipour H. 2015. Risk assessment of precipitation and the tourism climate index. Tourism Management, 50, 73?80. http://doi.org/10.1016/j.tourman.2015.01.010.
  16. Park S, Tuller S E, Jo M. 2014. Application of Universal Thermal Climate Index (UTCI) for microclimatic analysis in urban thermal environments. Lanscape and Urban Planning 125, 146-155. Elsevier.
  17. Scott D, McBoyle G, Schwartzentruber M. 2004. Climate change and the distribution of climatic resources for tourism in North America. Climate Research, 27(2), 1005-117. http://dx.doi.org/10.3354/cr027105.
  18. TjasyonoBayong HK. Geosains. Penerbit ITB. Bandung.

[Nofi Yendri Sudiar, Yonny Koesmaryono, Perdinan and Hadi Susilo Arifin. (2019); STUDIES OF THERMAL COMFORT IN THE JAKARTA NORTH COAST TOURISM REGION OF INDONESIA. Int. J. of Adv. Res. 7 (Sep). 476-483] (ISSN 2320-5407). www.journalijar.com

Nofi Yendri Sudiar
Department of Geophysics and Meteorology, FMIPA Building, Jl. Meranti Wing 19 Level 4, IPB Dramaga Campus, Bogor, West Java, Indonesia 16680

DOI:

Article DOI: 10.21474/IJAR01/9687      
DOI URL: https://dx.doi.org/10.21474/IJAR01/9687

Download Full Paper

Download PDF No. of Downloads: 37 | No. of Views: 130