Safety map
Disaster management road network for urban resilience
Bibliographic Data
| ID | 21230231 |
|---|---|
| Authors | Jiho Kim (0000-0003-2430-8651, National Disaster Management Research Institute), Sanghyun Park (0000-0002-5196-6193, National Disaster Management Research Institute), Mucheol Kim (0000-0003-2682-2195, Chung-Ang University, corresponding author) |
| Year | 2023 |
| Volume | 96 |
| Pages | 104650 |
| Publication date | 2023-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2023.104650 |
| OpenAlex | W4377041845 |
| Language | EN |
| Citations received | 7 |
| References cited | 40 |
This study aims to select disaster resistance roads in urban areas which require management through their topological relationship and by the consideration of the roads’ durable and resilient attributes against disaster. Disaster resistance road network means a network of safe roads that are used dynamically according to various disaster scenarios. The network requires high accessibility and disaster resistance. In some cases, roads are used as an evacuation route to secure the safety of the citizens, to preserve human resources, and to transport emergency supplies to disaster areas. Upon the occurrence of a disaster, using the road infrastructure resistant to various types of disaster can help maintain the functions of cities and can contribute to the increase of urban resilience. In this paper, the process of reconstructing road network entails the extraction of road layers through ERAM (Eigenvector Ratio of Adjacency Matrix) model, both the road layers with high disaster resilience from the public road data, and the road layers with high connectivity in the topological relationship between roads. Subsequently, the network combines the layers based on high disaster resistance and the layers based on topological relationship, and leads to a disaster resistance road network. Verification will be performed through a case study comparing the extracted disaster resistance road network and the traffic counting points that signify the traffic characteristics. The proposed research results will be used as geographical information referred to for evacuation route planning and emergency transport route planning in disaster situations and will serve as basic study material for disaster plan
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| Citations per year | 3.5 |
|---|---|
| Citation span | 2024 - 2025 (2) |
| Highly cited | No |