Web-based spatial decision support system for optimum route to forest fires: A case of Viphya plantations

Harineck Mayamiko, Tholo, Wilfred, Kadewa, Chikondi, Chisenga, Steve, Gondwe, Emmanuel Junior, Zuza, Weston, Mwase, Billy, Kachingwe and Jabulani, Nyegere (2024) Web-based spatial decision support system for optimum route to forest fires: A case of Viphya plantations. Trees, Forests and People, 19 (100740). pp. 1-13. ISSN 2666-7193

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Abstract

Efficient access to fire incidents is crucial for successful firefighting operations. This study aimed at developing a web-based spatial decision support system (SDSS) to determine optimal routes to forest fires and risk zones in the Viphya Plantations, Malawi. The system integrates remote sensing analysis to identify fire risk zones and a web-based SDSS to suggest optimal response routes. Remote sensing data was used to map areas prone to forest fires based on factors such as land use/cover type, terrain, and anthropogenic activities. These risk zones were incorporated into the GIS routing decision support system, enabling the generation of optimal routes from fire stations to fire risk zones and reported fire cases. System testing demonstrated the SDSS's capability to provide optimum routing options targeting fire risk hotspots and reported incidents within the plantations. The SDSS facilitated the identification of optimal routes to mitigate transportation costs and provided insights into spatial patterns of fire vulnerability, revealing areas that may be inaccessible within the optimal timeframe. This highlighted the necessity of establishing additional fire stations in high-risk regions to enhance rapid response times. The web-based SDSS proved to be an effective decision support tool for optimizing resource allocation and improving emergency response coordination for fighting forest fires in the Viphya Plantations.

Item Type:	Article
Keywords:	Firefighting, Viphya plantations, Malawi, GIS, Response routes
Divisions:	Agriculture, Science and Practice
Depositing User:	Dr Emmanuel Zuza
Date Deposited:	10 Jun 2025 10:35
Last Modified:	10 Jun 2025 10:35
URI:	https://rau.repository.guildhe.ac.uk/id/eprint/16964

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