Yükleniyor…
Yükleniyor…
The concept of volunteering, with its general definition, is that people stand by activities that will serve the social improve at their own will, without waiting for material interest and benefit. It is possible together a planned volunteering system that volunteers can serve effectively survivors and sufferers in case of potential disasters. In this study, AFAD Volunteering System which is prepared and continues to be developed within the framework of the National Earthquake Strategy and Action Plan (UDSEP) by under the Interior Ministry Disaster and Emergency Management Presidency (AFAD) is discussed. In this study, which also touches on the necessity of the system and the integration of volunteer activities in our country, suggestions are made for effective response and sustainability of the system at local and national level, drawing attention the importance of increasing the motivation of volunteers. In the second part of study, the countries that are exemplified in voluntary practices, disaster management and volunteering issues, related contracts and their practices are discussed and a general evaluation was made. In the third section, mentioning the activities of NGOs which came to the fore on disaster management in Turkey; it is referred to the integration process with the central authorities and to contribute on volunteer system in disasters. Finally, the AFAD Volunteering System has been discussed in detail, and the system's functionality, sustainability, integration of expert staff and volunteers, in which areas volunteers will be active, current situation in the legislation, and the system as a whole have been evaluated in line with SWOT vii analysis. Deficiencies and suggestions identified in terms of effective response in the system are expressed in the result section. The transition from crisis management to risk management will be accelerated when the voluntary system, which is seen as very necessary and important for Turkey, is implemented efficiently and effectively. It is possible to foresee that potential disasters will be overcome with minimal damage, with citizens being included in the disaster management process and awareness raising in this way. Keywords: Volunteering, AFAD Volunteer, AFAD Volunteer System, Disaster Volunteer.
Disasters, depending on their scale, cause escalating losses of life and property, straining response capacities and rendering professional teams insufficient. This situation makes the effective management of volunteer human resources a critical necessity, particularly during the "golden hours." This thesis presents the "Ben de Varım Türkiye" model, developed to minimize the assignment and management challenges of volunteers who operate either spontaneously or under an institution in disaster areas. The primary objective is to establish a dynamic optimization system that assigns registered and spontaneous volunteers to the "right location" and "right task" based on their competencies, location, and availability. Expert opinions were first obtained from stakeholder groups using the Delphi method to identify management constraints and required competencies. The 12 identified core competency criteria were weighted using the Fermatean Fuzzy DEMATEL method, which models uncertainty over a broader range than classical fuzzy logic. Volunteers were then prioritized according to these criteria using the Fermatean Fuzzy TOPSIS algorithm. The operational robustness of the model was tested on a synthetic pool of 150,000 data points through Monte Carlo simulations (N=10,000 iterations) and Markov Decision Processes. Simulation results demonstrated that the system identifies local resource bottlenecks within seconds, allocates external resources according to the TAMP protocol, and successfully manages chaotic processes. Additionally, the model provides a proactive ecosystem that enhances pre-disaster social resilience through gamification and training modules. By accounting for "stress deviation" during crises, this study proposes a merit-oriented disaster management paradigm that differs from traditional static assignment methods.