期刊
SUSTAINABLE CITIES AND SOCIETY
卷 81, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.scs.2022.103808
关键词
Heat related health risk; LISA; Spatial regressions modeling; Urban densification; Spill-over effects
资金
- University Grants Commission Junior Research Fellowship (UGC-JRF)
The study found a strong positive correlation between densification and heat-related risk, and identified spatial interconnections between urban morphologies and heat-related risk. These findings are important for the discussion on densification versus sprawling growth and for effective heat-resilient land use planning.
Rapid urban growth and land-use transformation has intensified urban heat island effects and exacerbated the heat-related health risk (HRHR). However, it remains debatable what are the interconnections between densification or sprawling and HRHR. Thus, the present study aimed at two crucial issues: 'whether the denser or sprawling growth is more prone to heat-related risk?' as well as 'what are the spatial interconnections or dependences of heat-risk on urban morphologies (ULM)' while taking Delhi as a case for the year 2001 & 2017. Four successive steps were followed (1) developing a comprehensive HRHR index adopting Crichton's risk triangle, (2) calculation of ULM and building a composite density index (DI), (3) testing correlation between HRHR and DI, (4) spatial autocorrelation and spatial regression modeling for exploring spatial dependence and interaction between ULM and HRHR. The result showed a strong positive correlation between DI and HRHR (R2 = 0.36 & 0.64 for 2001 and 2017, respectively). The models revealed ULM and HRHR as both spatially interconnected although spill-over, direct and total effect varies. The findings may contribute to the long-standing academic debate on 'dense growth' vs. 'sprawling growth' and help to effective heat-resilient LULC planning.
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