DOI: https://doi.org/10.14710/geoplanning.11.1.31-42

The Impact of Urban Green Space on The Urban Heat Island Phenomenon – A Study Case in East Jakarta, Indonesia

*Amalia Rakhmawati Rizki  -  School of Environmental Science , University of Indonesia, Indonesia, Indonesia
Sri Setiawati Tumuyu  -  School of Environmental Science, University of Indonesia, Indonesia, Indonesia
Siti Badriyah Rushayati  -  Department of Conservation of Forest Resources and Ecotourism, IPB University, Indonesia, Indonesia

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Abstract

The urban heat island (UHI) phenomenon has grown disastrous in many major cities across the world, including Jakarta. The more cities worldwide that suffer this scenario, the faster global warming will occur, making it a global concern that has to be given priority. The goal of this study was to determine the distribution of UHI in each region and how land use planning may mitigate it. East Jakarta was found to have the highest UHI in Jakarta. The method of this study used spatial analysis, which consists of land surface temperature (LST) and normalized vegetation difference index (NDVI) using GIS. The analysis results showed that the area with the highest LST and the widest coverage of UHI in East Jakarta is in Cakung where the temperature has increased to 4oC, while the area with the lowest LST and the narrowest coverage of the UHI area is Cipayung. Meanwhile, Cipayung has the most urban green space and urban forest, making up roughly 5.6% and 1.96% of its area, while Matraman has the least, making up 1.09% of its area without any urban forest. Therefore, there are no areas in East Jakarta that meet the requirements of 10% urban forest and 30% green space. However, the region with the lowest UHI distribution is Cipayung, which has the greenest urban area. It shows how the presence of urban forests, affects the distribution of UHI in metropolitan areas.

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Keywords: Urban Green Space Land Surface Temperature Vegetation Density

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Section: Original Research
Language : EN
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  1. Atasoy, M. (2020). Assessing the impacts of land-use/land-cover change on the development of urban heat island effects. Environment, Development and Sustainability, 22(8), 7547–7557. https://doi.org/10.1007/s10668-019-00535-w">[Crossref]

  2. Bokaie, M., Zarkesh, M. K., Arasteh, P. D., & Hosseini, A. (2016). Assessment of Urban Heat Island based on the relationship between land surface temperature and Land Use/ Land Cover in Tehran. Sustainable Cities and Society, 23, 94–104. https://doi.org/10.1016/j.scs.2016.03.009">[Crossref]

  3. Buchori, I., Rahmayana, L., Pangi, P., Pramitasari, A., Sejati, A. W., Basuki, Y., & Bramiana, C. N. (2022). In situ urbanization-driven industrial activities: the Pringapus enclave on the rural-urban fringe of Semarang Metropolitan Region, Indonesia. International Journal of Urban Sciences, 26(2), 244-267. https://doi.org/10.1080/12265934.2021.1925141">[Crossref]

  4. Cao, X., Onishi, A., Chen, J., & Imura, H. (2010). Quantifying the cool island intensity of urban parks using ASTER and IKONOS data. Landscape and Urban Planning, 96(4), 224–231. https://doi.org/10.1016/j.landurbplan.2010.03.008">[Crossref]

  5. Chapman, L., & Thornes, J. E. (2005). The influence of traffic on road surface temperatures: Implications for thermal mapping studies. Meteorological Applications, 12(4), 371–380. https://doi.org/10.1017/S1350482705001957">[Crossref]

  6. Chatterjee, U., & Majumdar, S. (2022). Impact of land use change and rapid urbanization on urban heat island in Kolkata city: A remote sensing-based perspective. Journal of Urban Management, 11(1), 59–71. https://doi.org/10.1016/j.jum.2021.09.002">[Crossref]

  7. Dewa, D. D., Buchori, I., & Sejati, A. W. (2022). Assessing land use/land cover change diversity and its relation with urban dispersion using Shannon Entropy in the Semarang Metropolitan Region, Indonesia. Geocarto International, 37(26), 11151-11172. https://doi.org/10.1080/10106049.2022.2046871">[Crossref]

  8. Du, H., Song, X., Jiang, H., Kan, Z., Wang, Z., & Cai, Y. (2016). Research on the cooling island effects of water body: A case study of Shanghai, China. Ecological Indicators, 67, 31–38. https://doi.org/10.1016/j.ecolind.2016.02.040">[Crossref]

  9. Guha, S., & Govil, H. (2021). An assessment on the relationship between land surface temperature and normalized difference vegetation index. Environment, Development and Sustainability, 23(2), 1944–1963. https://doi.org/10.1007/s10668-020-00657-6">[Crossref[

  10. Guo, G., Wu, Z., Xiao, R., Chen, Y., Liu, X., & Zhang, X. (2015). Impacts of urban biophysical composition on land surface temperature in urban heat island clusters. Landscape and Urban Planning, 135, 1–10. https://doi.org/10.1016/j.landurbplan.2014.11.007">[Crossref]

  11. Hashim, H., Abd Latif, Z., & Adnan, N. A. (2019). Urban Vegetation Classification with NDVI Threshold Value Method with Very High Resolution (VHR) Pleiades Imagery. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(4/W16), 237–240. https://doi.org/10.5194/isprs-archives-XLII-4-W16-237-2019">[Crossref]

  12. Hassan, T., Zhang, J., Prodhan, F. A., Pangali Sharma, T. P., & Bashir, B. (2021). Surface Urban Heat Islands Dynamics in Response to LULC and Vegetation Across South Asia (2000–2019). Remote Sensing, 13(16), 1–24. https://doi.org/10.3390/rs13163177">[Crossref]

  13. Huang, G., & Cadenasso, M. L. (2016). People, landscape, and urban heat island: dynamics among neighborhood social conditions, land cover and surface temperatures. Landscape Ecology, 31(10), 2507–2515. https://doi.org/10.1007/s10980-016-0437-z">[Crossref]

  14. Lee, A. C. K., Jordan, H. C., & Horsley, J. (2015). Value of urban green spaces in promoting healthy living and wellbeing: Prospects for planning. Risk Management and Healthcare Policy, 8, 131–137https://doi.org/10.2147/RMHP.S61654">. [Crossref]

  15. Li, X., Stringer, L. C., & Dallimer, M. (2021). The spatial and temporal characteristics of urban heat island intensity: Implications for east africa’s urban development. Climate, 9(4). https://doi.org/10.3390/cli9040051">[Crossref]

  16. Li, X., & Zhou, W. (2019). Optimizing urban greenspace spatial pattern to mitigate urban heat island effects: Extending understanding from local to the city scale. Urban Forestry and Urban Greening, 41(March), 255–263. https://doi.org/10.1016/j.ufug.2019.04.008">[Crossref]

  17. Mirzaei, P. A. (2015). Recent challenges in modeling of urban heat island. Sustainable Cities and Society, 19, 200–206. https://doi.org/10.1016/j.scs.2015.04.001">[Crossref]

  18. Mirzaei, P. A., Haghighat, F., Nakhaie, A. A., Yagouti, A., Giguère, M., Keusseyan, R., & Coman, A. (2012). Indoor thermal condition in urban heat Island - Development of a predictive tool. Building and Environment, 57, 7–17. https://doi.org/10.1016/j.buildenv.2012.03.018">[Crossref]

  19. Mohammad, P., & Goswami, A. (2022). Predicting the impacts of urban development on seasonal urban thermal environment in Guwahati city, northeast India. Building and Environment, 226(August), 109724. https://doi.org/10.1016/j.buildenv.2022.109724">[Crossref]

  20. Peng, J., Jia, J., Liu, Y., Li, H., & Wu, J. (2018). Seasonal contrast of the dominant factors for spatial distribution of land surface temperature in urban areas. Remote Sensing of Environment, 215(April 2017), 255–267. https://doi.org/10.1016/j.rse.2018.06.010">[Crossref]

  21. Phelan, P. E., Kaloush, K., Miner, M., Golden, J., Phelan, B., Silva, H., & Taylor, R. A. (2015). Urban Heat Island: Mechanisms, Implications, and Possible Remedies. Annual Review of Environment and Resources, 40, 285–307. https://doi.org/10.1146/annurev-environ-102014-021155">[Crossref]

  22. Putra, C. D., Ramadhani, A., & Fatimah, E. (2021). Increasing Urban Heat Island area in Jakarta and its relation to land use changes. IOP Conference Series: Earth and Environmental Science, 737(1). https://doi.org/10.1088/1755-1315/737/1/012002">[Crossref]

  23. Rahmawati, S.R., Darusman, D., Hermawan, R dan Avenzora, R. (2018). Nilai Ekonomi Hutan Kota di Jakarta (Studi Kasus Hutan Kota Srengseng, Jakarta Barat). Media Konservasi, 23(3), 262–273.

  24. Rushayati, S. B., & Hermawan, R. (2013). Characteristics of Urban Heat Island Condition in DKI Jakarta. Forum Geografi, 27(2), 111. https://doi.org/10.23917/forgeo.v27i2.2370">[Crossref]

  25. Sanger, Y. Y. J., Rogi, R.. , & Rombang, J. A. (2016). Pengaruh Tipe Tutupan Lahan Terhadap Iklim Mikro Di Kota Bitung. Agri-Sosioekonomi, 12(3A), 105. https://doi.org/10.35791/agrsosek.12.3a.2016.14355">[Crossref]

  26. Saputra, A., Ibrahim, M. H., Shofirun, S., Saputra, A., Ibrahim, M. H., Shofirun, S., & Saifuddin, A. (2021). EasyChair Preprint Assessing Urban Heat Island in Jakarta, Indonesia During the Pandemic of Covid-19 Assessing Urban Heat Island In Jakarta , Indonesia During The pandemic of Covid-19.

  27. Setiowati, R., Mizuno, K., Hasibuan, H. S., & Koestoer, R. H. (2022). Urban green spaces for support healthiness in Jakarta during the COVID-19 pandemic: A quantitative study. Environmental Engineering Research, 28(2), 210598. https://doi.org/10.4491/eer.2021.598">[Crossref]

  28. Shahid, M. Z., Hong, L., Yu-Lu, Q., & Shahid, I. (2015). Source Sector Contributions to Aerosol Levels in Pakistan. Atmospheric and Oceanic Science Letters, 8(5), 308–313. https://doi.org/10.3878/AOSL20150049">[Crossref]

  29. Shikwambana, L., Kganyago, M., & Mhangara, P. (2021). Temporal analysis of changes in anthropogenic emissions and urban heat islands during covid-19 restrictions in Gauteng province, South Africa. Aerosol and Air Quality Research, 21(9). https://doi.org/10.4209/aaqr.200437">[Crossref]

  30. Song, Y., Song, X., & Shao, G. (2020). Effects of green space patterns on urban thermal environment at multiple spatial-temp. Sustainability (Switzerland), 12(17). https://doi.org/10.3390/SU12176850">[Crossref]

  31. Taylor, P., & Kim, H. H. (2012). International Journal of Remote Sensing. International Journal of Remote Sensing, 33(3), 888–888. https://doi.org/10.1080/01431161.2012.638113">[Crossref]

  32. Thi Van, T., & Xuan Bao, H. D. (2010). Study of the impact of urban development on surface temperature using remote sensing in Ho Chi Minh City, Northern Vietnam. Geographical Research, 48(1), 86–96. https://doi.org/10.1111/j.1745-5871.2009.00607.x">[Crossref]

  33. Wati, T., & Fatkhuroyan, F. (2017). Analisis Tingkat Kenyamanan Di DKI Jakarta Berdasarkan Indeks THI (Temperature Humidity Index). Jurnal Ilmu Lingkungan, 15(1), 57. https://doi.org/10.14710/jil.15.1.57-63">[Crossref]

  34. Wright Wendel, H. E., Zarger, R. K., & Mihelcic, J. R. (2012). Accessibility and usability: green space preferences, perceptions, and barriers in a rapidly urbanizing city in Latin America. Landscape and Urban Planning, 107(3), 272–282. https://doi.org/10.1016/j.landurbplan.2012.06.003">[Crossref]

  35. Yang, J., McBride, J., Zhou, J., & Sun, Z. (2005). The urban forest in Beijing and its role in air pollution reduction. Urban Forestry & Urban Greening, 3(2), 65-78. https://doi.org/10.1016/j.ufug.2004.09.001">[Crossref]

  36. Yao, L., Li, T., Xu, M., & Xu, Y. (2020). How the landscape features of urban green space impact seasonal land surface temperatures at a city-block-scale: An urban heat island study in Beijing, China. Urban Forestry and Urban Greening, 52(November 2019), 126704. https://doi.org/10.1016/j.ufug.2020.126704">[Crossref]

  37. Zhu, R., Wong, M. S., Guilbert, É., & Chan, P. W. (2017). Understanding heat patterns produced by vehicular flows in urban areas. Scientific Reports, 7(1), 1–14. https://doi.org/10.1038/s41598-017-15869-6">[Crossref] 


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