Hierarchical siting of macro fire station and micro fire station

With the rapid increase of city building density, public emergency service system for providing fire services faces increasing challenge in reducing the loss of lives and property, especially for the reduction of massive casualties in fire accidents. For obtaining a higher benefit from public service facilities, GIS-based techniques such as location optimization are commonly used. However, as a special facility, fire emergency facilities are quite particular in siting and providing services, and they have their unique demands including specific response time, benefit maximization, workload balancing and cost minimization; traditional optimization methods for fire facility siting are difficult to account for all of these objectives. Furthermore, the public emergency services agencies in China are implementing a plan to establish a hierarchical fire service system by siting fire stations with different capacities, and under this context, the general covering models with the same level of facilities are limited in their effectiveness. Therefore, this paper proposes a hierarchical covering model which takes into account the different characteristics of different levels of fire facilities (i.e. macro fire station and micro fire station). The case study of Nanjing city proves that our model is effective in practical applications of emergency services optimization.