Preprint Article Version 1 This version is not peer-reviewed

Urban Heat Mitigation Effect and Affordable Housing Greenery Injustice Measured by Green View Index (GVI): A Case Study in Washington, D.C.

Version 1 : Received: 10 October 2024 / Approved: 11 October 2024 / Online: 14 October 2024 (03:38:05 CEST)

How to cite: Zhang, Z.; Fang, F.; Greenlee, A.; Lou, J. Urban Heat Mitigation Effect and Affordable Housing Greenery Injustice Measured by Green View Index (GVI): A Case Study in Washington, D.C.. Preprints 2024, 2024100874. https://doi.org/10.20944/preprints202410.0874.v1 Zhang, Z.; Fang, F.; Greenlee, A.; Lou, J. Urban Heat Mitigation Effect and Affordable Housing Greenery Injustice Measured by Green View Index (GVI): A Case Study in Washington, D.C.. Preprints 2024, 2024100874. https://doi.org/10.20944/preprints202410.0874.v1

Abstract

The deterioration of living conditions is highlighting the benefits of urban greenery for creating sustainable cities. Using Washington D.C. as a case, we demonstrate the performance of GVI and examine disparities in greening surrounding affordable housing. With the pre-trained segmentation model, we generated GVI based on 54,691 Street View images and applied the Spearman’s correlation analysis to examine LST cooling effect. We found that LST shows significant negative correlations (p<0.001) with GVI and newly developed GVI-3D with coefficients of -0.60 and -0.73. The distribution of GVI in residential zoning was polarised, affordable housing projects have less greenery. In conclusion, we argue that it is of practical significance to monitor GVI instead of large scale NDVI for urban environments due to its controllability and human-centric attributes.

Keywords

green view index; temperature mitigation; street greenery; environmental justice; image semantic segmentation; google street view image

Subject

Environmental and Earth Sciences, Geography

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