1. G. Manoli et al., "Magnitude of urban heat islands largely explained by climate and population," Nature, vol. 573, no. 7772, pp. 55-60, 2019. [DOI:10.1038/s41586-019-1512-9]

2. Z. Qiumeng, J. Baoquan, L. Tong, Y. Yarong, and F. Youxin, "Dynamic changes and drives of surface urban heat islands in China," City and Environment Interactions, p. 100203, 2025. [DOI:10.1016/j.cacint.2025.100203]

3. X. Peng, Y. Zhou, X. Fu, and J. Xu, "Study on the spatial-temporal pattern and evolution of surface urban heat island in 180 shrinking cities in China," Sustainable Cities and Society, vol. 84, p. 104018, 2022. [DOI:10.1016/j.scs.2022.104018]

4. T. R. Oke, "The energetic basis of the urban heat island," Quarterly journal of the royal meteorological society, vol. 108, no. 455, pp. 1-24, 1982. [DOI:10.1002/qj.49710845502]

5. N. Shirani-Bidabadi, T. Nasrabadi, S. Faryadi, A. Larijani, and M. S. Roodposhti, "Evaluating the spatial distribution and the intensity of urban heat island using remote sensing, case study of Isfahan city in Iran," Sustainable cities and society, vol. 45, pp. 686-692, 2019. [DOI:10.1016/j.scs.2018.12.005]

6. X. Deng et al., "Characteristics of surface urban heat islands in global cities of different scales: Trends and drivers," Sustainable Cities and Society, vol. 107, p. 105483, 2024. [DOI:10.1016/j.scs.2024.105483]

7. Y. Yuan, C. Li, X. Geng, Z. Yu, Z. Fan, and X. Wang, "Natural-anthropogenic environment interactively causes the surface urban heat island intensity variations in global climate zones," Environment international, vol. 170, p. 107574, 2022. [DOI:10.1016/j.envint.2022.107574]

8. M. T. Abebe and T. L. Megento, "Urban green space development using GIS-based multi-criteria analysis in Addis Ababa metropolis," Applied Geomatics, vol. 9, pp. 247-261, 2017. [DOI:10.1007/s12518-017-0198-7]

9. R. Yao, L. Wang, X. Huang, Y. Niu, Y. Chen, and Z. Niu, "The influence of different data and method on estimating the surface urban heat island intensity," Ecological Indicators, vol. 89, pp. 45-55, 2018. [DOI:10.1016/j.ecolind.2018.01.044]

10. M. Zargari, A. Mofidi, A. Entezari, and M. Baaghideh, "Climatology of Tehran surface heat Island: a satellite-based spatial analysis," Scientific Reports, vol. 15, no. 1, p. 10567, 2025. [DOI:10.1038/s41598-025-95367-2]

11. A. Aslani, M. Sereshti, and A. Sharifi, "Urban heat island mitigation in Tehran: District-based mapping and analysis of key drivers," Sustainable Cities and Society, vol. 125, p. 106338, 2025. [DOI:10.1016/j.scs.2025.106338]

12. M. Zheng, D. Zheng, Q. Shen, and F. Jia, "Quantifying Long-Term Spatiotemporal Variation in and Drivers of the Surface Daytime Urban Heat Island Effect in Major Chinese Cities: Perspectives from Different Climate Zones," ISPRS International Journal of Geo-Information, vol. 14, no. 7, p. 239, 2025. [DOI:10.3390/ijgi14070239]

13. M. H. Jahangir, A. Zarfeshani, and M. Arast, "Investigation of green roofs effects on reducing of the urban heat islands formation (The case of a municipal district of Tehran City, Iran)," Nature-Based Solutions, vol. 5, p. 100100, 2024. [DOI:10.1016/j.nbsj.2023.100100]

14. M. Meftahi, M. Monavari, M. Kheirkhah Zarkesh, A. Vafaeinejad, and A. Jozi, "Achieving sustainable development goals through the study of urban heat island changes and its effective factors using spatio‐temporal techniques: the case study (Tehran city)," in Natural resources forum, 2022, vol. 46, no. 1: Wiley Online Library, pp. 88-115. [DOI:10.1111/1477-8947.12245]

15. L. Niu et al., "Identifying surface urban heat island drivers and their spatial heterogeneity in China's 281 cities: An empirical study based on multiscale geographically weighted regression," Remote Sensing, vol. 13, no. 21, p. 4428, 2021. [DOI:10.3390/rs13214428]

16. H. Liu, B. Huang, Q. Zhan, S. Gao, R. Li, and Z. Fan, "The influence of urban form on surface urban heat island and its planning implications: Evidence from 1288 urban clusters in China," Sustainable Cities and Society, vol. 71, p. 102987, 2021. [DOI:10.1016/j.scs.2021.102987]

17. A. Oliveira, A. Lopes, E. Correia, S. Niza, and A. Soares, "An urban climate-based empirical model to predict present and future patterns of the Urban Thermal Signal," Science of the Total Environment, vol. 790, p. 147710, 2021. [DOI:10.1016/j.scitotenv.2021.147710]

18. R. Yao et al., "Long-term trends of surface and canopy layer urban heat island intensity in 272 cities in the mainland of China," Science of the Total Environment, vol. 772, p. 145607, 2021. [DOI:10.1016/j.scitotenv.2021.145607]

19. Y. Li, L. Wang, M. Liu, G. Zhao, T. He, and Q. Mao, "Associated determinants of surface urban heat islands across 1449 cities in China," Advances in Meteorology, vol. 2019, no. 1, p. 4892714, 2019. [DOI:10.1155/2019/4892714]

20. N. P. Welegedara, S. K. Agrawal, and G. Lotfi, "Exploring spatiotemporal changes of the urban heat Island effect in high-latitude cities at a neighbourhood level: A case of Edmonton, Canada," Sustainable Cities and Society, vol. 90, p. 104403, 2023. [DOI:10.1016/j.scs.2023.104403]

21. N. Clinton and P. Gong, "MODIS detected surface urban heat islands and sinks: Global locations and controls," Remote Sensing of Environment, vol. 134, pp. 294-304, 2013. [DOI:10.1016/j.rse.2013.03.008]

22. H. Midi, S. K. Sarkar, and S. Rana, "Collinearity diagnostics of binary logistic regression model," Journal of interdisciplinary mathematics, vol. 13, no. 3, pp. 253-267, 2010. [DOI:10.1080/09720502.2010.10700699]

23. L. Wang, H. Hou, and J. Weng, "Ordinary least squares modelling of urban heat island intensity based on landscape composition and configuration: A comparative study among three megacities along the Yangtze River," Sustainable Cities and Society, vol. 62, p. 102381, 2020. [DOI:10.1016/j.scs.2020.102381]

24. H. Aguinis and R. K. Gottfredson, "Best‐practice recommendations for estimating interaction effects using moderated multiple regression," Journal of organizational behavior, vol. 31, no. 6, pp. 776-786, 2010. [DOI:10.1002/job.686]