Open Access
Issue
E3S Web Conf.
Volume 618, 2025
6th International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2024)
Article Number 01011
Number of page(s) 9
Section Green Transformation and Technological Innovation in Building and Urban Environment
DOI https://doi.org/10.1051/e3sconf/202561801011
Published online 27 February 2025
  1. Yin, Z., Liu, Z., Liu, X., Zheng, W., & Yin, L. (2023) Urban heat islands and their effects on thermal comfort in the US: New York and New Jersey. Ecological Indicators., 154: 110765. https://doi.org/10.1016/j.ecolind.2023.110765 [CrossRef] [Google Scholar]
  2. Huang, X., & Wang, Y. (2019) Investigating the effects of 3D urban morphology on the surface urban heat island effect in urban functional zones by using high-resolution remote sensing data: A case study of Wuhan, Central China. ISPRS Journal of Photogrammetry and Remote Sensing., 152: 119-131. https://doi.org/10.1016/j.isprsjprs.2019.04.010 [CrossRef] [Google Scholar]
  3. 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] [Google Scholar]
  4. Wu, W., Yu, Z., Ma, J., & Zhao, B. (2022) Quantifying the influence of 2D and 3D urban morphology on the thermal environment across climatic zones. Landscape and Urban Planning., 226: 104499. https://doi.org/10.1016/j.landurbplan.2022.104499 [CrossRef] [Google Scholar]
  5. Stewart, I.D., & Oke, T.R., (2012) Local Climate Zones for Urban Temperature Studies. Bulletin of the American Meteorological Society., 93(12): 1879-1900. https://doi.org/10.1175/BAMS-D-11-00019.1 [CrossRef] [Google Scholar]
  6. Zhang, H., Wang, C., Yang, H., & Ma, Z. (2024) How do morphology factors affect urban heat island intensity? an approach of local climate zones in a fast-growing small city, Yangling, China. Ecological Indicators., 161: 111972. https://doi.org/10.1016/j.ecolind.2024.111972 [CrossRef] [Google Scholar]
  7. Guangzhou Meteorological Observatory. (2023) The 2023 Guangzhou Climate Bulletin. http://www.tqyb.com.cn/gz/climaticprediction/bullet in/2024-01-31/13298.html [Google Scholar]
  8. The People's Government of Guangzhou City. (2023) Conservation plan of historic city of Guangzhou. https://www.gz.gov.cn/hdjlpt/yjzj/answer/26129 [Google Scholar]
  9. Li, Z.H., He, W., Cheng, M., Hu, J.X., Yang, G.Y., Zhang, H.Y. (2023) SinoLC-1: The first 1 m resolution national-scale land-cover map of China created with a dee-p learning framework and open- access data. Earth Syst. Sci. Data., 15: 4749–4780. https://doi.org/10.5194/essd-15-4749-2023 [CrossRef] [Google Scholar]
  10. Xiang, Y., Zheng, B., Wang, J., Gong, J., & Zheng, J. (2024) Research on the Spatial-Temporal Evolution of Changsha’s Surface Urban Heat Island from the Perspective of Local Climate Zones. Land., 13(9): 1479. https://doi.org/10.3390/land13091479 [CrossRef] [Google Scholar]
  11. Crawford, C.J., Roy, D.P., Arab, S., Barnes, C., Vermote, E., Hulley, G., Gerace, A., Choate, M., Engebretson, C., & Micijevic, E. (2023) The 50-year Landsat collection 2 archive. Science of Remote Sensing., 8: 100103. https://doi.org/10.1016/j.srs.2023.100103 [CrossRef] [Google Scholar]
  12. Li, X., Zhou, W., & Ouyang, Z. (2013) Relationship between land surface temperature and spatial pattern of greenspace: What are the effects of spatial resolution. Landscape and Urban Planning.,114: 1-8. https://doi.org/10.1016/j.landurbplan.2013.02.005 [CrossRef] [Google Scholar]
  13. Mejía-parada, C., Mora-ruiz, V., Soto-paz, J., Parra-orobio, B.A., & Attia, S. (2024) Microclimate Zoning Based on Double Clustering Method for Humid Climates with Altitudinal Gradient Variations: A Case Study of Colombia. Atmosphere., 15(6): 709. https://doi.org/10.3390/atmos15060709 [CrossRef] [Google Scholar]
  14. Mohammad, P., & Goswami A.(2021).Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities.GIScience & Remote Sensing,58(7),955-981. https://doi.org/10.1080/15481603.2021.1940739 [CrossRef] [Google Scholar]
  15. Gao, S., Zhan, Q., Yang, C., & Liu, H. (2020) The Diversified Impacts of Urban Morphology on Land Surface Temperature among Urban Functional Zones. International Journal of Environmental Research and Public Health., 17(24): 9578. https://doi.org/10.3390/ijerph17249578 [CrossRef] [Google Scholar]
  16. Wang, Y., Lv, W., Wang, M., Chen, X., & Li, Y. (2023) Application of improved Moran’s I in the evaluation of urban spatial development. Spatial Statistics., 54: 100736. https://doi.org/10.1016/j.spasta.2023.100736 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.