Modification of The Thermal Comfort Index Based on Perceptions for Urban Tourism Around Jakarta

Authors

  • Nizar Manarul Hidayat Indonesian Agency for Meteorology Climatology and Geophysics (BMKG)
  • Rini Hidayati Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Science
  • Ana Turyanti Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Science
  • Sugha Faiz Al Maula Department of Mathematics, Faculty of Science and Technology, Airlangga University

DOI:

https://doi.org/10.31172/jmg.v25i1.1051

Keywords:

urban tourism, climate indices, thermal comfort, modification index, tropical landscape

Abstract

Climate interaction directly correlates with an individual's comfort response. One's comfort can be quantified by perceiving environmental conditions at tourist locations. This study aims to identify climatic and non-climatic factors that affect thermal comfort based on visitor perception. In addition, the Holiday Climate Index (HCI) is modified to equalize visitors' perceptions. The research locations, namely Taman Mini Indonesia Indah (TMII), Kebun Raya Bogor (KRB), and Taman Safari Indonesia (TSI), are characterized by distinct topographies. This study identifies thermal comfort factors based on 552 questionnaire responses from purposive sampling. Analyzing factors influencing thermal comfort using ordinal logistic regression with Uncomfortable Class (0) and Comfortable Class (1). Model performance metrics, such as accuracy, precision, recall, and F1 score, are calculated using a confusion matrix. In general, the best time to feel comfortable is in the morning. Overall, climatic factors such as thermal sensation and rainfall events influence thermal comfort, while non-climatic factors have no effect. The model's implication is to provide an equation in the probability of someone feeling comfortable or uncomfortable based on the predictors. Furthermore, a modification index at TMII adjusted the HCI-urban's weighting, ratings, and comfort thresholds to match visitors' perceptions at that time. The results demonstrate that HCI-urban effectively provides comfortable and comfortable assessments. However, it has not yet been able to capture perceptions of discomfort, unlike the modified index. This research can provide added value to the tourism industry in terms of maintaining environmental comfort during the dry season.

Author Biography

Nizar Manarul Hidayat, Indonesian Agency for Meteorology Climatology and Geophysics (BMKG)

Department of Climatology

References

H. Aribowo, A. Wirapraja, and Y. D. Putra, “Implementasi kolaborasi model pentahelix dalam rangka mengembangkan potensi pariwisata di jawa timur serta meningkatkan perekonomian domestik,” Jurnal Mebis (Manajemen dan Bisnis), vol. 3, no. 1, Jul. 2018, doi: 10.33005/mebis.v3i1.21.

N. Drakulić Kovačević, L. Kovačević, U. Stankov, V. Dragićević, and A. Miletić, “Applying destination competitiveness model to strategic tourism development of small destinations: The case of South Banat district,” Journal of Destination Marketing and Management, vol. 8, pp. 114–124, Jun. 2018, doi: 10.1016/j.jdmm.2017.01.002.

A. Maulana, “Kajian perhitungan global gross travel propensity (gtp) dan country potential generation index (cpgi) 2016,” 2019.

J. A. Salinas Fernández, P. Serdeira Azevedo, J. M. Martín Martín, and J. A. Rodríguez Martín, “Determinants of tourism destination competitiveness in the countries most visited by international tourists: Proposal of a synthetic index,” Tour Manag Perspect, vol. 33, Jan. 2020, doi: 10.1016/j.tmp.2019.100582.

L. Li, X. Zhou, and L. Yang, “The Analysis of Outdoor Thermal Comfort in Guangzhou during Summer,” in Procedia Engineering, Elsevier Ltd, 2017, pp. 1996–2002. doi: 10.1016/j.proeng.2017.10.070.

F. F. Wu, X. H. Yang, Z. Y. Shen, and Z. J. Yi, “Long-term trends and spatiotemporal variations of climate comfort in China during 1966-2016,” Thermal Science, vol. 24, no. 4, pp. 2445–2453, 2020, doi: 10.2298/TSCI2004445W.

I. Zeren Cetin and H. Sevik, “Investigation of the relationship between bioclimatic comfort and land use by using GIS and RS techniques in Trabzon,” Environ Monit Assess, vol. 192, no. 2, Feb. 2020, doi: 10.1007/s10661-019-8029-4.

M. Rutty, D. Scott, P. Johnson, M. Pons, R. Steiger, and M. Vilella, “Using ski industry response to climatic variability to assess climate change risk: An analogue study in Eastern Canada,” Tour Manag, vol. 58, pp. 196–204, Feb. 2017, doi: 10.1016/j.tourman.2016.10.020.

T. Bausch, W. C. Gartner, and A. Humpe, “How weather conditions affect guest arrivals and duration of stay: An alpine destination case,” International Journal of Tourism Research, vol. 23, no. 6, pp. 1006–1026, Nov. 2021, doi: 10.1002/jtr.2459.

C. K. C. Lam, J. Hang, D. Zhang, Q. Wang, M. Ren, and C. Huang, “Effects of short-term physiological and psychological adaptation on summer thermal comfort of outdoor exercising people in China,” Build Environ, vol. 198, Jul. 2021, doi: 10.1016/j.buildenv.2021.107877.

R. and A.-C. E. American Society of Heating, Thermal Environmental Conditions for Human Occupancy. Atlanta: ASHRAE Standard Committee, 2004. [Online]. Available: www.ashrae.org

H. Wang, Q. You, G. Liu, and F. Wu, “Climatology and trend of tourism climate index over China during 1979–2020,” Atmos Res, vol. 277, p. 106321, 2022, doi: https://doi.org/10.1016/j.atmosres.2022.106321.

J. Susanto, X. Zheng, Y. Liu, and C. Wang, “The impacts of climate variables and climate-related extreme events on island country’s tourism: Evidence from Indonesia,” J Clean Prod, vol. 276, Dec. 2020, doi: 10.1016/j.jclepro.2020.124204.

H. Andrade, M. J. Alcoforado, and S. Oliveira, “Perception of temperature and wind by users of public outdoor spaces: Relationships with weather parameters and personal characteristics,” Int J Biometeorol, vol. 55, no. 5, pp. 665–680, Sep. 2011, doi: 10.1007/s00484-010-0379-0.

J. Li, R. Sun, and L. Chen, “A review of thermal perception and adaptation strategies across global climate zones,” Urban Clim, vol. 49, p. 101559, 2023, doi: https://doi.org/10.1016/j.uclim.2023.101559.

C. K. C. Lam, S. Shooshtarian, and I. Kenawy, “Assessment of urban physical features on summer thermal perceptions using the local climate zone classification,” Build Environ, vol. 236, May 2023, doi: 10.1016/j.buildenv.2023.110265.

A. N. Kakon, M. Nobuo, S. Kojima, and T. Yoko, “Assessment of Thermal Comfort in Respect to Building Height in a High-Density City in the Tropics,” American J. of Engineering and Applied Sciences, vol. 3, no. 3, pp. 545–551, 2010.

N. Mölders, “Outdoor Universal Thermal Comfort Index Climatology for Alaska,” Atmospheric and Climate Sciences, vol. 09, no. 04, pp. 558–582, 2019, doi: 10.4236/acs.2019.94036.

K. Błazejczyk et al., “An introduction to the Universal thermal climate index (UTCI),” Geogr Pol, vol. 86, no. 1, pp. 5–10, 2013, doi: 10.7163/GPol.2013.1.

B. Paramita, H. E. Kusuma, and A. Matzarakis, “Urban performance based on biometeorology index in high-density, hot, and humid cities,” Sustain Cities Soc, vol. 80, May 2022, doi: 10.1016/j.scs.2022.103767.

D. Fröhlich and A. Matzarakis, “Spatial estimation of thermal indices in urban areas-basics of the skyhelios model,” Atmosphere (Basel), vol. 9, no. 6, May 2018, doi: 10.3390/atmos9060209.

Z. T. Mieczkowski, “The tourism climatic index: a method of evaluating world climates for tourism,” Canadian Geographer, vol. 29, pp. 220–233, 1985.

D. Scott, M. Rutty, B. Amelung, and M. Tang, “An inter-comparison of the Holiday Climate Index (HCI) and the Tourism Climate Index (TCI) in Europe,” Atmosphere (Basel), vol. 7, no. 6, Jun. 2016, doi: 10.3390/atmos7060080.

N. A. I. Hasanah, D. Maryetnowati, F. N. Edelweis, F. Indriyani, and Q. Nugrahayu, “The climate comfort assessment for tourism purposes in Borobudur Temple Indonesia,” Heliyon, vol. 6, no. 12, Dec. 2020, doi: 10.1016/j.heliyon.2020.e05828.

N. M. Hidayat, “Analysis and determination of tourism climate index (tci) in east nusa tenggara,” Jurnal Meteorologi dan Geofisika, vol. 3, pp. 57–63, Jun. 2022, doi: https://doi.org/10.31172/jmg.v23i3.821.

L. Velea, A. Gallo, R. Bojariu, A. Irimescu, V. Craciunescu, and S. Puiu, “Holiday Climate Index: Urban—Application for Urban and Rural Areas in Romania,” Atmosphere (Basel), vol. 13, no. 9, Sep. 2022, doi: 10.3390/atmos13091519.

D. D. Yu, L. Matthews, D. Scott, S. Li, and Z. Y. Guo, “Climate suitability for tourism in China in an era of climate change: a multiscale analysis using holiday climate index,” Current Issues in Tourism, vol. 25, no. 14, pp. 2269–2284, 2022, doi: 10.1080/13683500.2021.1956442.

J. T. Samarasinghe et al., “Performances of Holiday Climate Index (HCI) for Urban and Beach Destinations in Sri Lanka under Changing Climate,” Climate, vol. 11, no. 3, Mar. 2023, doi: 10.3390/cli11030048.

C. R. De Freitas, D. Scott, and G. McBoyle, “A second generation climate index for tourism (CIT): Specification and verification,” Int J Biometeorol, vol. 52, no. 5, pp. 399–407, May 2008, doi: 10.1007/s00484-007-0134-3.

G. Dubois, J. P. Ceron, C. Dubois, M. D. Frias, and S. Herrera, “Reliability and usability of tourism climate indices,” Earth Perspectives, vol. 3, no. 1, Dec. 2016, doi: 10.1186/s40322-016-0034-y.

D. W. Hosmer and S. Lemeshow, Applied Logistic Regression, 2nd ed. New York: John Willey and Sons, 2000.

J. S. Cardoso and R. Sousa, “Measuring the performance of ordinal classification,” Intern J Pattern Recognit Artif Intell, vol. 25, no. 8, pp. 1173–1195, Dec. 2011, doi: 10.1142/S0218001411009093.

L. Matthews, D. Scott, and J. Andrey, “Development of a data-driven weather index for beach parks tourism,” Int J Biometeorol, vol. 65, no. 5, pp. 749–762, May 2021, doi: 10.1007/s00484-019-01799-7.

H. A. Sturges, “The Choice of a Class Interval,” J Am Stat Assoc, vol. 21, pp. 65–66, 1926, [Online]. Available: https://api.semanticscholar.org/CorpusID:122626010

K. Blazejczyk, Y. Epstein, G. Jendritzky, H. Staiger, and B. Tinz, “Comparison of UTCI to selected thermal indices,” Int J Biometeorol, vol. 56, no. 3, pp. 515–535, 2012, doi: 10.1007/s00484-011-0453-2.

S. Gössling, B. Abegg, and R. Steiger, “‘It was raining all the time!’: Ex post tourist weather perceptions,” Atmosphere (Basel), vol. 7, no. 1, 2016, doi: 10.3390/atmos7010010.

M. Nikolopoulou and S. Lykoudis, “Thermal comfort in outdoor urban spaces: Analysis across different European countries,” Build Environ, vol. 41, no. 11, pp. 1455–1470, Nov. 2006, doi: 10.1016/j.buildenv.2005.05.031.

W. Yang, N. H. Wong, and S. K. Jusuf, “Thermal comfort in outdoor urban spaces in Singapore,” Build Environ, vol. 59, pp. 426–435, Jan. 2013, doi: 10.1016/j.buildenv.2012.09.008.

C. R. De Freitas, D. Scott, and G. McBoyle, “A second generation climate index for tourism (CIT): Specification and verification,” Int J Biometeorol, vol. 52, no. 5, pp. 399–407, May 2008, doi: 10.1007/s00484-007-0134-3.

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Published

2024-08-13

How to Cite

Hidayat, N. M., Hidayati, R., Turyanti, A., & Al Maula, S. F. (2024). Modification of The Thermal Comfort Index Based on Perceptions for Urban Tourism Around Jakarta. Jurnal Meteorologi Dan Geofisika, 25(1), 1–15. https://doi.org/10.31172/jmg.v25i1.1051

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