Identifying road network vulnerability during disaster, a case study of road network evacuation in Mount Merapi eruption
The eruption of Mount Merapi in 2010 killed more than 400 people. An optimal evacuation is strongly affected by road network preparedness used as an evacuation route. This study aims at developing an evacuation model from the disaster to identify road network vulnerability in optimizing evacuation...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Prince of Songkla University
2019-08-01
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| Series: | Songklanakarin Journal of Science and Technology (SJST) |
| Subjects: | |
| Online Access: | https://rdo.psu.ac.th/sjstweb/journal/41-4/8.pdf |
| _version_ | 1818264602371162112 |
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| author | Hardiansyah Sigit Priyanto Imam Muthohar Latif Budi Suparma |
| author_facet | Hardiansyah Sigit Priyanto Imam Muthohar Latif Budi Suparma |
| author_sort | Hardiansyah |
| collection | DOAJ |
| description | The eruption of Mount Merapi in 2010 killed more than 400 people. An optimal evacuation is strongly affected by road
network preparedness used as an evacuation route. This study aims at developing an evacuation model from the disaster to
identify road network vulnerability in optimizing evacuation route performance. The evacuation modeling employed a useroptimal method to analyze changes in road network performance in the form of flow as a basis for developing a formula to
measure road network vulnerability. The results indicated increased flows on the road network areas of ring 1, ring 2, ring 3, and
Sleman outside the ring. By employing the developed vulnerability equation, the road networks identified vulnerability of ring 1,
ring 2, ring 3, and Sleman outside the ring indicated by positive index values. Meanwhile, the road networks in Yogyakarta City,
Bantul, Kulon Progo, and Gunung Kidul were identified as invulnerable indicated by the negative index values. |
| first_indexed | 2024-12-12T19:37:31Z |
| format | Article |
| id | doaj.art-7df22dacee98482299061008aa68f78c |
| institution | Directory Open Access Journal |
| issn | 0125-3395 |
| language | English |
| last_indexed | 2024-12-12T19:37:31Z |
| publishDate | 2019-08-01 |
| publisher | Prince of Songkla University |
| record_format | Article |
| series | Songklanakarin Journal of Science and Technology (SJST) |
| spelling | doaj.art-7df22dacee98482299061008aa68f78c2022-12-22T00:14:16ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952019-08-0141476977610.14456/sjst-psu.2019.98Identifying road network vulnerability during disaster, a case study of road network evacuation in Mount Merapi eruptionHardiansyah0Sigit Priyanto1Imam Muthohar2Latif Budi Suparma3Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada, Jalan Grafika No.2, Yogyakarta, 55281 IndonesiaDepartment of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada, Jalan Grafika No.2, Yogyakarta, 55281 IndonesiaDepartment of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada, Jalan Grafika No.2, Yogyakarta, 55281 IndonesiaDepartment of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada, Jalan Grafika No.2, Yogyakarta, 55281 IndonesiaThe eruption of Mount Merapi in 2010 killed more than 400 people. An optimal evacuation is strongly affected by road network preparedness used as an evacuation route. This study aims at developing an evacuation model from the disaster to identify road network vulnerability in optimizing evacuation route performance. The evacuation modeling employed a useroptimal method to analyze changes in road network performance in the form of flow as a basis for developing a formula to measure road network vulnerability. The results indicated increased flows on the road network areas of ring 1, ring 2, ring 3, and Sleman outside the ring. By employing the developed vulnerability equation, the road networks identified vulnerability of ring 1, ring 2, ring 3, and Sleman outside the ring indicated by positive index values. Meanwhile, the road networks in Yogyakarta City, Bantul, Kulon Progo, and Gunung Kidul were identified as invulnerable indicated by the negative index values.https://rdo.psu.ac.th/sjstweb/journal/41-4/8.pdfmodelevacuationroad networkindexvulnerability |
| spellingShingle | Hardiansyah Sigit Priyanto Imam Muthohar Latif Budi Suparma Identifying road network vulnerability during disaster, a case study of road network evacuation in Mount Merapi eruption Songklanakarin Journal of Science and Technology (SJST) model evacuation road network index vulnerability |
| title | Identifying road network vulnerability during disaster, a case study of road network evacuation in Mount Merapi eruption |
| title_full | Identifying road network vulnerability during disaster, a case study of road network evacuation in Mount Merapi eruption |
| title_fullStr | Identifying road network vulnerability during disaster, a case study of road network evacuation in Mount Merapi eruption |
| title_full_unstemmed | Identifying road network vulnerability during disaster, a case study of road network evacuation in Mount Merapi eruption |
| title_short | Identifying road network vulnerability during disaster, a case study of road network evacuation in Mount Merapi eruption |
| title_sort | identifying road network vulnerability during disaster a case study of road network evacuation in mount merapi eruption |
| topic | model evacuation road network index vulnerability |
| url | https://rdo.psu.ac.th/sjstweb/journal/41-4/8.pdf |
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