Correlation Characteristics Between Urban Fires and Urban Functional Spaces
A Study Based on Point of Interest Data and Ripley’s K-Function
Bibliographic Data
| ID | 22031340 |
|---|---|
| Authors | Yaobin Xiong (Yangtze University), Gongquan Li (0000-0003-3052-1408, Yangtze University, corresponding author) |
| Year | 2025 |
| Volume | 14 |
| Issue | 2 |
| Pages | 45 |
| Publication date | 2025-01-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi14020045 |
| OpenAlex | W4406867215 |
| Language | EN |
| Citations received | 4 |
| References cited | 40 |
This paper investigates the dependency relationship and spatial patterns between urban fires and the distribution of urban functional spaces, using the Futian District in Shenzhen as a case study. This study utilizes univariate and bivariate Ripley’s K functions along with Point of Interest (POI) data to analyze the variation in the spatial clustering of urban fires across scales ranging from 0 to 2500 m. It explores the overall distribution trends and localized relationships between urban fires and five types of urban functional spaces: commercial, tourism, residential, public services, and transportation services. The results indicate that the clustering of urban fires increases at spatial scales of 0–1050 m and decreases at scales of 1050–2500 m. The overall distribution trend between urban fires and urban functional spaces demonstrates a bidirectional clustering pattern. The overall correlation shows that commercial service spaces have the strongest association with urban fire clustering, followed in order by residential services, public services, transportation services, and tourist service spaces. The clustering of urban fires in local areas is significantly associated with commercial and residential service spaces, and moderately related to public service and transportation service spaces, and shows no significant correlation with tourism service spaces. This research contributes to the understanding of urban fire risk through spatial analysis and offers insights for urban planning and fire safety management
Correlation · Geography · Geometry · Point of interest · Remote sensing · Computer Science · Disaster Management and Resilience · Environmental Science · Fire effects on ecosystems · Injury Epidemiology and Prevention · Mathematics
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| Unique citing works | 4 |
|---|---|
| Citations per year | 4 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |