Planspiel-Literaturdatenbank des ZMS

Abstract: BACKGROUND: Resilience has become a fundamental paradigm for communities to deal with disaster planning, particularly in the face of increasing climate change impacts. While formal methods are employed to prioritise and decide about investments for resilience planning, developing strategies to negotiate that go beyond formal modelling is essential. Participatory Modelling (PM) has emerged as an effective approach in facilitating data-driven decision-making, enabling stakeholders to create, adjust, and learn from interactive models and to use this experience to inform their decisions. THE PROBLEM: When making decisions related to disaster planning, experts, managers, and policymakers face challenges in recognising interdependence within and between social and technical systems. Therefore, a socio-technical systems approach is crucial to understand the challenge of integrating social and technical assets in resilience planning, their interactions, and interdependencies to make informed decisions. Thus, there is a need for an integrated set of investments that increase social resilience and, at the same time, improve critical infrastructure before natural hazard-caused or human-caused disasters. THE AIM: This PhD thesis aims to develop and trial a Participatory Modelling methodology that engages participants in the process of deciding where or whether to invest in technical and social resilience. The objective of this work is to simulate the decision-making process and understand the trade-offs when negotiating between technical/infrastructure and social resilience investments. The study focused on creating a collaborative process that ensures that the diverse interests and concerns of stakeholders are represented and integrated into the planning process.