A modular subroutine selection process in disaster management based on a needs classification scheme

Abstract

A broader view of our approach is to provide the flexibility to organise and adapt a tailored Decision Support System (DSS) model (or existing modular subroutines) according to the dynamic needs of a disaster. For this purpose, the existing modular subroutines of DSS models are selected and integrated to produce a dynamic integrated model focused on a given disaster scenario. In order to facilitate the effective integration of these subroutines, it is necessary to select the appropriate modular subroutine beforehand. Therefore, subroutine selection is an important preliminary step towards model integration in developing Disaster Management Decision Support Systems (DMDSS). The ability to identify a modular subroutine for a problem is an important feature before performing model integration. Therefore, our focus in this paper is on developing a methodology to help identify subroutines from existing DSS models developed for disaster management.