A GIS-Based Damage Evaluation Method for Explosives Road Transportation Accidents
Bibliographic Data
| ID | 22033720 |
|---|---|
| Authors | Jing Zhao (0009-0008-1906-5396, Jianghan University), Jing Ya Zhao (0009-0003-0719-6413, Jianghan University), Ning Liu (0000-0001-8399-8985, Jianghan University), Junhui Li (0000-0001-5636-1348, Jianghan University), Xi Guo (0000-0002-3458-8426, University of Science and Technology Beijing), Hongtao Deng (0000-0001-5909-2366, Jianghan University), Jinshan Sun (0000-0003-3919-2153, Jianghan University, corresponding author) |
| Year | 2023 |
| Volume | 12 |
| Issue | 12 |
| Pages | 470 |
| Publication date | 2023-11-21 |
| 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/ijgi12120470 |
| OpenAlex | W4388856846 |
| Language | EN |
| References cited | 20 |
The road transportation of explosives is highly concerning due to its substantial impact on social safety. For the safety management of explosive transportation, e.g., transport route planning and emergency rescue, explosion consequence evaluation is of paramount importance. The consequence evaluation of explosion accidents is affected by many factors, especially spatial features, such as the location of transport vehicles, the distribution of buildings, and the presence of individuals around the road, etc. However, there is still a lack of quantification methods for building damage evaluation, human casualty evaluation that considers real-time population density, and efficient interactive damage evaluation methods. In this paper, we formalize three typical scenarios of damage evaluation for explosive road transportation accidents, i.e., explosion point-based, road segment-based, and route-based damage evaluation. For each scenario, we propose a Height-aware Hierarchical Building Damage (HHBD) model and a Shelter-aware Human Casualty (SHC) model for building damage evaluation and human casualty evaluation, respectively. We also develop a GIS-based interactive visualization platform that integrates multi-source geospatial data and that enables efficient geospatial computation. In addition, a case study of liquefied natural gas (LNG) transportation in Wuhan is demonstrated in order to verify the effectiveness and efficiency of the proposed system. The research results can support the decision-making process of explosive transportation safety warnings and emergency rescue
Cartography · Explosive material · Forensic engineering · Geographic information system · Geography · Geospatial analysis · Transport engineering · Computer Science · Data Management and Algorithms · Engineering · Traffic Prediction and Management Techniques · Transportation Planning and Optimization
| Citation velocity | historical |
|---|---|
| Highly cited | No |