Critical infrastructures such as transportation, power, telecommunication, water supply, and hospitals play a vital role in effectively managing post-disaster responses. The resilience of critical infrastructures should be incorporated in the planning and designing phase based on the risk assessment in a particular geographic area. However, the framework to assess critical infrastructure resilience (CIR) is variably conceptualised. Therefore, the objective of this study was to critically appraise the existing CIR assessment frameworks developed since the adoption of the Sendai Framework in 2015 with the hazard focus on earthquakes. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) method was used for the selection of the 24 most relevant studies, and these were analysed to delineate existing frameworks, models, and concepts. The study found that there are wide-ranging disparities among the existing frameworks to assess the infrastructure resilience, and it has become a key challenge to prioritise resilience-based investment in the infrastructure sector. Furthermore, key attributes such as performance indicators, emergency aspects, and damage assessment need to be considered for different disaster phases—ex-ante, during, and ex-post—to improve the long-term resilience of critical infrastructure. Subsequently, an integrated and adaptable infrastructure resilience assessment framework is proposed for proper critical infrastructure planning and resilience-based investment decision making.

Municipal solid waste management (MSWM) has become a major challenge in Sri Lanka for post-conflict development activities. Many urban areas are facing severe problems in managing 10 to 50 metric tons of waste per day. However, limited research has been carried out to identify the key issues and policy gaps in MSWM. This research studies the existing complexities of MSWM processes, practices, and emerging challenges in three highly congested urban areas in the south-eastern coast of Sri Lanka. A mixed method strategy using field observations, semi-structured interviews and secondary data sources was employed for the data collection. The study revealed that, although the MSWM systems in the urban areas include all necessary elements, their effectiveness and efficiency are not satisfactory due to poor or non-segregation of waste at the source of generation; lack of resources; absence of regulation to reduce waste generation and control polluters; absence of regular collection schedule; and lack of technical know-how and initiatives. The recommendations drawn from the study include feasible solutions and immediate measures required to improve the MSWM before the related environmental and public health problems become a social catastrophe. The recommendations will also greatly contribute in the achievement of developing sustainable cities.

Understanding social resilience can assist in the formulation of disaster management policies to help communities better prepare for, respond to, and recover from disasters. However, direct social resilience measurement methods such as household surveys are not always a practical option as they are a time- and resource-exhaustive process. Existing measures mainly utilize publicly available census data, which often provide a poor and outdated assessment of current social resilience status. Another limitation includes a failure to capture multiple facets of indicators that are process-oriented and dynamic in nature such as mobility of people. These challenges can be addressed by employing a surrogate approach. Surrogates are alternative measures to depict the target indicator. The surrogate approach can capture key facets of a target indicator, which can be used as potential measures for the target indicator. A framework to conceptualize the surrogate approach is presented, and operationalized using a case study approach on the southeastern coast of Sri Lanka to identify surrogates to measure mobility of people as a resilience indicator. Six higher-order themes were identified as potential surrogates to measure mobility of people in a disaster context. The approach proposed to methodically identify potential surrogates and their measurement protocols can help to improve the current knowledge base and understanding of complex interrelationships of social resilience.