Innovative Strategies for Firefighting Resource Allocation in Forest Fires: A Comparative Study of Maximal Covering and Travel Distance Minimization Approaches
摘要
Forest fires pose significant threats to both the environment and human safety, necessitating rapid and efficient response strategies. This paper explores innovative strategies for the optimal positioning of firefighting resources through a comparative study of two prominent approaches in the literature: the Maximal Covering Location Problem (MCLP) and the Total Travel Distance Minimization (TTDM). The MCLP aims to maximize the coverage of demand points within a certain distance, ensuring that as many potential fire locations as possible are within a quick response radius. On the other hand, the TTDM focuses on minimizing the total travel distance required to reach the fire locations, thereby reducing the response time and increasing the efficiency of firefighting operations. This study examines each approach independently and then integrates both to achieve a balanced solution that meets both coverage and travel distance criteria. By employing a multi-criteria decision analysis framework, the research integrates these two approaches to produce a solution that is both comprehensive and efficient. The findings suggest that when these two approaches are considered together, they produce acceptable outcomes for both objectives, thus enhancing the overall effectiveness of firefighting efforts. Emphasizing the critical importance of early intervention in forest fires, this research provides valuable insights into innovative strategic resource allocation for enhancing firefighting efficiency and ensuring better protection for both the environment and human communities.