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Urban Spatial Heat Resilience Indicator Based on Running Activity Z-Score

Bibliographic Data

ID13113174
AuthorsLi Zhou (0000-0001-7132-5935, Tsinghua University, corresponding author), Yuan Lai (0000-0003-0664-5048, Tsinghua University)
Year2025
Volume9
Issue2
Pages34-34
Publication date2025-02-05
Open AccessYes
TypeARTICLE
VenueUrban Science (JOURNAL)
Journal identifiersISSN: 2413-8851 • E-ISSN: 2413-8851
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/urbansci9020034
OpenAlexW4407153648
LanguageEN
Citations received3
References cited44

The assessment of urban heat resilience has become crucial due to increasing extreme weather events. This study introduces the Running Activity Z-score (RAZ) index based on running activity trajectory data to evaluate heat resilience. Through a case study of an August 2022 heatwave in Beijing, we examined the index’s sensitivity to extreme heat and explored its spatial relationships with key built environment factors, including plot ratio, green coverage, population density, and blue space proximity. Our results reveal two key findings: (1) the RAZ index serves as an effective real-time, high-precision indicator of urban heatwave impacts, as evidenced by extremely low RAZ values consistently coinciding with heatwave periods, and (2) the RAZ index offers valuable insights for identifying potential low heat resilience areas and supporting planning decisions, as demonstrated by its significant correlations with built environment factors that align with previous studies while uncovering more detailed spatial relationships. Although RAZ effectively complements traditional measurement methods, its application requires careful consideration of external factors such as social dynamics and climate variability

Geography · Meteorology · Resilience (materials science · Urban heat island · Environmental Science · Materials Science · Urban Green Space and Health · Urban Heat Island Mitigation

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Citations per year3
Citation span2025 - 2026 (2)
Highly citedNo

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