ABSTRACT
Rail infrastructure in India is the backbone of economy in India and is the main transport mode for passenger including newly planned High Speed Rail corridors and freight transportation. But rail infrastructure assets are frequently exposed to multi- hazards which sometimes cause disruptions in safe operations. The resilience of infrastructure in the event of major disruptions is important to sustain the business, which is very critical especially in developing country like India to keep the wheels of economy running. For a developing country like India, it is imperative to develop infrastructure including rail infrastructure projects in a manifested sustainable manner besides focus on boosting the economy of India and post-pandemic scenario the key to ensure delivery of reliable transport services is possible only with focus on transport sustainability. The synthesized application of geo-spatial technologies is useful in not only improving risk modelling but also in prioritization of the resources for identification of critical rail infrastructure and building back better. Risk to railway infrastructure in this study is defined as per UNDRR terminology, which is a function of hazard, exposure, and local compounding vulnerability. The study is in line with Sustainable Development Goal 11 and the Sendai Framework for Disaster Risk Reduction.
