Context-Sensitive Resilient Decision-Making in Post-Disaster Housing Reconstruction: A Conceptual Hybrid Framework for Critical Zones

Post-Disaster Housing Reconstruction (PDHR) in Critical Zones remains insufficiently addressed by existing decision-support approaches. Previous PDHR studies consider a wide range of technical, economic, environmental, and social considerations. However, contextual conditions affecting reconstruction feasibility are often addressed in a fragmented manner rather than integrated into a structured decision process, which may favor technically desirable solutions that are infeasible or more difficult to implement in comparison with other alternatives under uncertainty, instability, resource constraints, security restrictions, supply-chain disruptions, and other disruptions. This paper develops a resilience-oriented conceptual decision-making framework structured around three analytically distinct and parallel dimensions: Contextual Feasibility, Performance Adequacy, and Economic Viability. Contextual Feasibility assesses the conditions affecting the implementation of reconstruction alternatives, Performance Adequacy assesses the characteristics and expected outcomes of the alternatives, and Economic Viability assesses their economic implications using an appropriate economic evaluation method. The three dimension-specific assessments are then integrated through a calibrated compensatory structure. The application of the framework is illustrated through two documented reconstruction cases: the Gaza Strip, Palestine, and Gujarat, India. By explicitly distinguishing implementation conditions, performance outcomes, and economic implications before their integration, the framework provides a conceptual basis for more resilient, context-sensitive, and structured decision-making in PDHR under Critical-Zone conditions. The framework is intended to support reconstruction authorities, humanitarian organizations, donors, and technical decision-makers in evaluating housing reconstruction alternatives under Critical-Zone conditions. As a conceptual framework, its practical effectiveness remains to be empirically validated.