Researchers in the resilience engineering space have proposed the notion that organisations operating in complex socio-technical systems cannot ‘be’ resilient but can have the ‘potential for resilient performance’. This theoretical stance also suggests that organisations wanting to enhance their potential for resilience begin by measuring their operational safety performance against four key potentials, these being: the Potential to Anticipate; the Potential to Respond; the Potential to Learn; and the Potential to Monitor. Furthermore, to measure these four key resilience constructs, organisations have been recommended to use a Resilience Assessment Grid (RAG) developed as part of this theory. However, scarce research appears to have been conducted that bridges the theory and practice divide on just how organisations can pragmatically measure their current performance against these four resilience potentials using the RAG. Therefore, this research was interested in undertaking a pilot study using RAG theory in order to examine an organisation’s four resilience potentials, and was conducted within a large road transport organisation in Australia. Results indicated that measuring both the four individual potentials and a combination of the four potentials was possible using a RAG and proved effective in providing a snapshot of operational safety system resilience concepts. Recommendations on how to increase organisational resilience potentials were provided to ensure future safety endeavours would enhance the organisation’s potential to be resilience in the face of system variability and operational demands.
Machine Learning-Based Method for Urban Lifeline System Resilience Assessment in GIS*
