FIRE SPREAD PREDICTION USING PROBABILISTIC CELLULAR AUTOMATA: THE CASE OF URBAN SETTLEMENTS IN THE PHILIPPINES
Fire disasters are common occurrences in the urban settlements of the Philippines. Concerned agencies like the Bureau of Fire Protection (BFP) and the Disaster and Risk Reduction Management Office (DRRMO) are constantly planning ways to prevent and mitigate fire disasters. The key to an effective pl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-12-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/415/2019/isprs-archives-XLII-4-W19-415-2019.pdf |
| _version_ | 1819045826196930560 |
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| author | E. E. Tan A. J. Vicente |
| author_facet | E. E. Tan A. J. Vicente |
| author_sort | E. E. Tan |
| collection | DOAJ |
| description | Fire disasters are common occurrences in the urban settlements of the Philippines. Concerned agencies like the Bureau of Fire Protection (BFP) and the Disaster and Risk Reduction Management Office (DRRMO) are constantly planning ways to prevent and mitigate fire disasters. The key to an effective plan against fire disaster is understanding how a potential fire can spread in a community. By combining both GIS and Probabilistic Cellular Automata (PCA), this paper solves the task of fire spread modeling and simulation. PCA is a model that consists of a regular grid of cells, whose cells are updated according to rules that take into account both the cell’s current state and the cell’s neighbors’ states. The model we developed factors in wind, building materials, and building density. The model was designed after several fires in major cities of Cebu, Philippines. An accuracy of 83.54% and a Cohen’s Kappa coefficient of 0.67 was achieved. Further, a web-based tool was developed to aid in fire disaster planning. |
| first_indexed | 2024-12-21T10:34:44Z |
| format | Article |
| id | doaj.art-51e29ceba85b42ca9808be9faa0133ca |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-21T10:34:44Z |
| publishDate | 2019-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-51e29ceba85b42ca9808be9faa0133ca2022-12-21T19:07:06ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-12-01XLII-4-W1941542010.5194/isprs-archives-XLII-4-W19-415-2019FIRE SPREAD PREDICTION USING PROBABILISTIC CELLULAR AUTOMATA: THE CASE OF URBAN SETTLEMENTS IN THE PHILIPPINESE. E. Tan0A. J. Vicente1FireCheck Project – University of the Philippines Cebu, Cebu, PhilippinesFireCheck Project – University of the Philippines Cebu, Cebu, PhilippinesFire disasters are common occurrences in the urban settlements of the Philippines. Concerned agencies like the Bureau of Fire Protection (BFP) and the Disaster and Risk Reduction Management Office (DRRMO) are constantly planning ways to prevent and mitigate fire disasters. The key to an effective plan against fire disaster is understanding how a potential fire can spread in a community. By combining both GIS and Probabilistic Cellular Automata (PCA), this paper solves the task of fire spread modeling and simulation. PCA is a model that consists of a regular grid of cells, whose cells are updated according to rules that take into account both the cell’s current state and the cell’s neighbors’ states. The model we developed factors in wind, building materials, and building density. The model was designed after several fires in major cities of Cebu, Philippines. An accuracy of 83.54% and a Cohen’s Kappa coefficient of 0.67 was achieved. Further, a web-based tool was developed to aid in fire disaster planning.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/415/2019/isprs-archives-XLII-4-W19-415-2019.pdf |
| spellingShingle | E. E. Tan A. J. Vicente FIRE SPREAD PREDICTION USING PROBABILISTIC CELLULAR AUTOMATA: THE CASE OF URBAN SETTLEMENTS IN THE PHILIPPINES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | FIRE SPREAD PREDICTION USING PROBABILISTIC CELLULAR AUTOMATA: THE CASE OF URBAN SETTLEMENTS IN THE PHILIPPINES |
| title_full | FIRE SPREAD PREDICTION USING PROBABILISTIC CELLULAR AUTOMATA: THE CASE OF URBAN SETTLEMENTS IN THE PHILIPPINES |
| title_fullStr | FIRE SPREAD PREDICTION USING PROBABILISTIC CELLULAR AUTOMATA: THE CASE OF URBAN SETTLEMENTS IN THE PHILIPPINES |
| title_full_unstemmed | FIRE SPREAD PREDICTION USING PROBABILISTIC CELLULAR AUTOMATA: THE CASE OF URBAN SETTLEMENTS IN THE PHILIPPINES |
| title_short | FIRE SPREAD PREDICTION USING PROBABILISTIC CELLULAR AUTOMATA: THE CASE OF URBAN SETTLEMENTS IN THE PHILIPPINES |
| title_sort | fire spread prediction using probabilistic cellular automata the case of urban settlements in the philippines |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/415/2019/isprs-archives-XLII-4-W19-415-2019.pdf |
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