Post-disaster relief–service centralized logistics distribution with survivor resilience maximization

• Factors of survival psychology are taken into account in modeling and analysis.
• Survivor-specific disaggregate attitudinal functions are formulated.
• An empirically-grounded emergency relief–service distribution model is proposed.
• The effect of post-disaster survivor emotional contagion is considered in modeling.

This work proposes a post-disaster demand-oriented emergency logistics operational model that aims at disaster relief–service distribution to maximize survivor resilience. Rooted in survival psychology and cognition theories, this work proposes a conceptual model which hypothesizes post-disaster survivor perception–attitude–resilience relationships. This is followed by conducting a normative analysis which includes establishing survivor-specific disaggregate attitudinal functions and a post-disaster relief–service distribution optimization model, based on the proposed conceptual model and hypotheses. Using structural equation modeling we conduct an empirical study which verifies that the proposed survivor perception–attitude–resilience conceptual model is valid, supporting the results of the normative analyses. Furthermore, a numerical study of a real earthquake disaster is conducted. Numerical results demonstrate the applicability of the proposed method and its potential advantages in evaluating the performance of an emergency logistics system from the perspective of not only the suppliers but also the demanders.