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Effect of urban growth pattern on land surface temperature in China: A multi-scale landscape analysis of 338 cities

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  • Rao, Yingxue
  • Dai, Jingyi
  • Dai, Deyi
  • He, Qingsong

Abstract

The process of urbanization leads to an increase in land surface temperature (LST). In this study, a spatial autocorrelation regression model was used to conduct empirical research on 338 cities in China to quantify the relationships between urban growth pattern (UGP) and LST in 2015 at both the patch and city scales. The investigated Chinese cities were assigned to four temperature zones, and reasonable urban morphology and socioeconomic indicators were selected as the control variables. In general, at the patch scale, the more compact the urban growth was, the more easily the surface warmed. Significant and positive correlations with LST were observed for edge expansion and infilling in most of the temperature zones. However, the influence of outlying on LST had opposing results: negative correlations were observed in the subtropical and middle temperature zones, and positive correlations were observed in the warm temperature and plateau climatic zones. The results also showed that patch area, industrial enterprise density, population density, and road density exerted different significant effects on LST. This study further verified the existence of a scale effect; moreover, the results of patch-scale research based on the microscopic perspective were deemed to be more accurate. Overall, understanding the quantitative relationships between UGP and LST is helpful for assessing the complexity of urban climates and for providing a scientific basis for planners and urban managers to optimize urban layouts.

Suggested Citation

  • Rao, Yingxue & Dai, Jingyi & Dai, Deyi & He, Qingsong, 2021. "Effect of urban growth pattern on land surface temperature in China: A multi-scale landscape analysis of 338 cities," Land Use Policy, Elsevier, vol. 103(C).
    • Handle: RePEc:eee:lauspo:v:103:y:2021:i:c:s0264837721000375
    DOI: 10.1016/j.landusepol.2021.105314
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    References listed on IDEAS

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    1. Min Xu & Chunyang He & Zhifeng Liu & Yinyin Dou, 2016. "How Did Urban Land Expand in China between 1992 and 2015? A Multi-Scale Landscape Analysis," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-19, May.
    2. Xu, Gang & Zhou, Zhengzi & Jiao, Limin & Zhao, Rui, 2020. "Compact Urban Form and Expansion Pattern Slow Down the Decline in Urban Densities: A Global Perspective," Land Use Policy, Elsevier, vol. 94(C).
    3. Brenda B. Lin & Jacqui Meyers & R. Matthew Beaty & Guy B. Barnett, 2016. "Urban Green Infrastructure Impacts on Climate Regulation Services in Sydney, Australia," Sustainability, MDPI, vol. 8(8), pages 1-13, August.
    4. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    5. Marcial Echenique & Anthony Hargreaves & Gordon Mitchell & Anil Namdeo, 2012. "Growing Cities Sustainably," Journal of the American Planning Association, Taylor & Francis Journals, vol. 78(2), pages 121-137.
    6. Mehebub Sahana & Shyamal Dutta & Haroon Sajjad, 2019. "Assessing land transformation and its relation with land surface temperature in Mumbai city, India using geospatial techniques," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 23(2), pages 205-225, April.
    7. He, Qingsong & He, Weishan & Song, Yan & Wu, Jiayu & Yin, Chaohui & Mou, Yanchuan, 2018. "The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical ‘big data’," Land Use Policy, Elsevier, vol. 78(C), pages 726-738.
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    2. Renyang Wang & Qingsong He & Lu Zhang & Huiying Wang, 2021. "Coupling Cellular Automata and a Genetic Algorithm to Generate a Vibrant Urban Form—A Case Study of Wuhan, China," IJERPH, MDPI, vol. 18(21), pages 1-15, October.
    3. Alphan, Hakan & Karamanli, Esin & Derse, Mehmet Ali & Uslu, Cengiz, 2022. "Analyzing pattern features of urban/rural residential land use change: The case of the southern coast of Turkey," Land Use Policy, Elsevier, vol. 122(C).

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