Analysis of road vulnerability in traditional villages under fire scenarios based on multi-layer network framework
Bibliographic Data
| ID | 22028890 |
|---|---|
| Authors | Siqi Cao (0000-0002-9517-784X, Kunming University of Science and Technology), Zhigang Song (0000-0003-1357-089X, Kunming University of Science and Technology, corresponding author), Jian Zhang (0000-0001-7681-8747, Kunming University of Science and Technology), Jinsheng Han (Kunming University of Science and Technology) |
| Year | 2026 |
| Volume | 143 |
| Pages | 106255 |
| Publication date | 2026-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Disaster Risk Reduction (JOURNAL) |
| Journal identifiers | ISSN: 2212-4209 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijdrr.2026.106255 |
| OpenAlex | W7163883234 |
| Language | EN |
| References cited | 35 |
Fires in wooden building cluster within traditional villages and towns frequently cause road blockages, significantly hindering evacuation and rescue operations. However, most existing research examines buildings or road networks independently, neglecting the critical coupling effects within the integrated “building cluster fire–road system”. To address this gap, this study proposes a vulnerability analysis method for road networks based on coupled multi-layer networks. A “building cluster fire–road system” dual-layer network is constructed to quantify geospatial coupling relationships. Cascading failures are simulated by applying heat radiation thresholds to define road failure, and the resulting impacts are evaluated using a road accessibility-based vulnerability model. Cascading failure modes are classified according to the importance of building nodes, the number of failed road segments, and the spatial proximity index between buildings and roads, enabling identification of the primary drivers of vulnerability. A case study in Tongle Village, Yunnan Province, China, demonstrates that 64.10% of building fire scenarios reduce road accessibility, with regional cascading failure emerging as the predominant high-vulnerability mode. Notably, building fire scenarios with high vulnerability (vulnerability index >20%) increase evacuation distances by more than 20%. The topological importance of failed roads, measured by edge betweenness centrality, is identified as the principal factor triggering road network vulnerability under cascading failures. These results provide a theoretical basis for enhancing disaster resilience in traditional villages and towns. Furthermore, the proposed multi-layer network framework is adaptable for cascading failure risk analyses in other multi-layer infrastructure systems
Poison control · Scenario analysis · Vulnerability assessment · Fire dynamics and safety research · Fire effects on concrete materials · Infrastructure Resilience and Vulnerability Analysis
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| Highly cited | No |
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