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Influence of Urbanization Factors on Surface Urban Heat Island Intensity: A Comparison of Countries at Different Developmental Phases

Author

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  • Yaoping Cui

    (Collaborative Innovation Center for the “Three Modernization” Harmonious Development of Central Plains Economic Region, The College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Xinliang Xu

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Jinwei Dong

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Yaochen Qin

    (Collaborative Innovation Center for the “Three Modernization” Harmonious Development of Central Plains Economic Region, The College of Environment and Planning, Henan University, Kaifeng 475004, China)

Abstract

Urbanization is a global problem with demographic trends. The urban heat island plays a dominant role in local climate systems. Despite existing efforts to understand the impacts of multiple urbanization factors on the urban heat island globally, very little is known about the attribution of urban heat island magnitude to urbanization in different locations or developmental phases. In this study, based on global land surface temperature data, urban spatial domain data, gross domestic product (GDP), and population data, we analyzed the influence of multiple urbanization factors on global surface urban heat island intensity (SUHII). We also tentatively compared the abovementioned factors between different regions across the globe, especially between China and the USA, the largest countries that are experiencing or have experienced rapid urbanization in recent decades. The results showed that global SUHII had remarkable spatial heterogeneity due to the geographical and socioeconomic variation between cities. There was a significant correlation between SUHII and population as well as GDP in global cities. Moreover, this study suggested that the impacts of population on SUHII might be stronger in the early stages of urbanization, and the GDP factor would become a critical factor at a certain development level. The urban area also had non-ignorable impacts on SUHII, while the correlation between SUHII and urban shape was relatively weak. All these may imply that the best approach to slow down SUHII is to find other solutions, e.g., optimize the spatial configuration of urban internal landscapes, when the urbanization reaches a high level.

Suggested Citation

  • Yaoping Cui & Xinliang Xu & Jinwei Dong & Yaochen Qin, 2016. "Influence of Urbanization Factors on Surface Urban Heat Island Intensity: A Comparison of Countries at Different Developmental Phases," Sustainability, MDPI, vol. 8(8), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:8:p:706-:d:74676
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    References listed on IDEAS

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    2. Kim, Hyungkyoo & Jung, Yoonhee & Oh, Jae In, 2019. "Transformation of urban heat island in the three-center city of Seoul, South Korea: The role of master plans," Land Use Policy, Elsevier, vol. 86(C), pages 328-338.
    3. Yaoping Cui & Jiyuan Liu & Xinliang Xu & Jinwei Dong & Nan Li & Yiming Fu & Siqi Lu & Haoming Xia & Bo Si & Xiangming Xiao, 2019. "Accelerating Cities in an Unsustainable Landscape: Urban Expansion and Cropland Occupation in China, 1990–2030," Sustainability, MDPI, vol. 11(8), pages 1-15, April.
    4. Lu Niu & Ronglin Tang & Yazhen Jiang & Xiaoming Zhou, 2020. "Spatiotemporal Patterns and Drivers of the Surface Urban Heat Island in 36 Major Cities in China: A Comparison of Two Different Methods for Delineating Rural Areas," Sustainability, MDPI, vol. 12(2), pages 1-17, January.
    5. Awais Piracha & Muhammad Tariq Chaudhary, 2022. "Urban Air Pollution, Urban Heat Island and Human Health: A Review of the Literature," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    6. Yaping Huang & Man Yuan & Youpeng Lu, 2019. "Spatially varying relationships between surface urban heat islands and driving factors across cities in China," Environment and Planning B, , vol. 46(2), pages 377-394, February.
    7. Sarfo, Isaac & Bi, Shuoben & Xu, Xiuhua & Yeboah, Emmanuel & Kwang, Clement & Batame, Michael & Addai, Foster Kofi & Adamu, Umar Wakil & Appea, Emmanuella Aboagye & Djan, Michael Atuahene & Otchwemah,, 2023. "Planning for cooler cities in Ghana: Contribution of green infrastructure to urban heat mitigation in Kumasi Metropolis," Land Use Policy, Elsevier, vol. 133(C).
    8. Jiale Tang & Xincan Lan & Yuanyuan Lian & Fang Zhao & Tianqi Li, 2022. "Estimation of Urban–Rural Land Surface Temperature Difference at Different Elevations in the Qinling–Daba Mountains Using MODIS and the Random Forest Model," IJERPH, MDPI, vol. 19(18), pages 1-12, September.
    9. Chaobin Yang & Xingyuan He & Fengqin Yan & Lingxue Yu & Kun Bu & Jiuchun Yang & Liping Chang & Shuwen Zhang, 2017. "Mapping the Influence of Land Use/Land Cover Changes on the Urban Heat Island Effect—A Case Study of Changchun, China," Sustainability, MDPI, vol. 9(2), pages 1-17, February.
    10. Jie Jiang & Yandi Zhou & Xian Guo & Tengteng Qu, 2022. "Calculation and Expression of the Urban Heat Island Indices Based on GeoSOT Grid," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    11. Nawhath Thanvisitthpon, 2023. "Statistically Validated Urban Heat Island Risk Indicators for UHI Susceptibility Assessment," IJERPH, MDPI, vol. 20(2), pages 1-21, January.

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    Keywords

    MODIS; space-for-time; SUHII; China; USA;
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