Abstract
When a forest fire occurs, to cope with this disaster a range of facilities are needed. Although these facilities may be efficient, their usages should be coordinated according to the requirements needed for a particular forest fire. Initiating firefighting activities on time, especially arrival of fire water tender and the ground team onto fire areas in critical response time is crucial for effective fighting against forest fires. Additionally, when multiple fires occur during a dry season, the response planning, and coordination become vital to fighting fires. Therefore, emergency response planning/coordination gains paramount importance while firefighting. This study focuses on one of the most important aspect of the wildfire response phase: initial emergency response in fixed regional forest directorates and airports. In this study, a heuristic methodology is proposed to solve this problem with real map data by using Network Analyst toolbox under ArcGIS program, which is used to determine optimum route that minimize arrival time to forest fires. To show the applicability of the proposed methodology, forest fire data that was collected in Turkey is used.
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References
Akay, A., Sakar, D. (2009). Yangın sahasına en kısa sürede ulaşımı sağlayan optimum güzergahın belirlenmesinde CBS tabanlı karar destekleme sisteminin kullanılması. In TMMOB Coğrafi Bilgi Sistemleri Kongresi
Aktas, E., Ozaydin, O., Ulengin, F., Onsel, S., & Agaran, B. (2011). İstanbul’da itfaiye istasyonu yerlerinin seçimi için yeni bir model. Endüstri Mühendisliği Dergisi, 22(4), 2–12.
Altay, N., & Green, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175, 475–493.
Finney, M. A. (2002). Fire growth using minimum travel time methods. Canadian Journal of Forest Research, 32(8), 1420–1424.
Fiorucci, P., Gaetani, F., Minciard, R. (2004). An integrated system for the forest fires dynamic hazard assessment over a wide area. In International Environmental Modelling and Software Society International Congress—Complexity and Integrated Resources Management
Greulich, F. E. (2008). Modeling airtanker flight distance between concurrent fires: The development and use of statistical distribution parameters. Forest Science, 54(1), 47–57.
Haight, R. G., & Fried, J. S. (2007). Deploying wildland fire suppression resources with a scenario based standard response model. Information Systems and Operational Research, 45(1), 31–39.
Mitsakis, E., Stamos, I., Grau, J. M. S., & Aifadopoulou, G. (2014). Optimal allocation of emergency response services for managing disasters. Disaster Prevention and Management, 23(4), 329–342.
Ntaimo, L., Arrubla, J. A. G., Stripling, C., Young, J., & Spencer, T. (2014). A stochastic programming standard response model for wildfire initial attack planning. Canadian Journal of Forest Research, 42(6), 987–1001.
Ozşahin, E. (2013). Türkiye’de yaşanmış (1970–2012) doğal afetler üzerine bir değerlendirme. 2. In Türkiye Deprem Mühendisliği ve Sismeloji Konferansı
Paul, B. K. (2011). Environmental hazards and disasters: Contexts, perspectives and management. New York: Wiley.
Wiitala, M. R., Wilson, A. E. (2004). Wildfire initial response assessment system: A tool for fire preparedness. In Proceedings of the Second International Symposium on Fire Economics, Planning and Policy: A Global View, 19–22
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Ozmehmet Tasan, S., Ergenc, Y.E. (2019). Disaster Management: Initiating Emergency Response for Forest Fires. In: Mula, J., Barbastefano, R., DÃaz-Madroñero, M., Poler, R. (eds) New Global Perspectives on Industrial Engineering and Management. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-93488-4_23
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DOI: https://doi.org/10.1007/978-3-319-93488-4_23
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