Disaster management requires the development of effective technologies for managing both pre-and post-disaster processes. Therefore, utilizing effective tools and techniques to mitigate the disaster risks or lower the adversarial impacts is essential. Over the last decade, digital twin (DT) applications have found a wider implementation area for varying purposes, but most importantly, they are utilized for simulating disaster impacts. This study aims to develop an open-source digital twin (DT) framework for earthquake disaster management in the Cayirova district of Kocaeli, Türkiye, one of the country’s most seismically active regions. The primary objective is to enhance local resilience by integrating multi-source data into a unified digital environment that supports risk assessment, response planning, and recovery coordination. The digital model developed using QGIS (3.40.9 Bratislava), Autodesk InfraWorks 2025 software for DT modeling integrates various data types, including geospatial, environmental, transportation, utility, and demographic data. As a result, the developed model is expected to be used as a digital database for disaster management, storing both geospatial and building data in a unified structure. The developed model also aims to contribute to sustainable practices in cities, where disaster risks are particularly critical. In this respect, the developed model is expected to create sustainable logistics chains and sustainable targets aiming to reduce the number of people affected by disasters, reducing the direct economic losses caused by disasters. In this framework, the developed model is expected to further assess seismic risk and mitigate risks with DTs. These capabilities enable the project to establish an open-source district-level DT system implemented for the first time in Cayirova, provide an alternative disaster model focused on region-specific earthquakes, and integrate 2D/3D assets into an operational, ready-to-respond digital database. In terms of practical importance, the model provides a digital database (digital backup) that can be used in emergencies, helping decision-makers make faster, data-driven decisions. The significance of this study lies in bridging the gap between urban digitalization and disaster resilience by providing a scalable and transparent tool for local governments. Ultimately, the developed DT contributes to sustainable urban management, enhancing preparedness, adaptive capacity, and post-disaster recovery efficiency.

The construction industry is fragmented and complex. The involvement of multiple stakeholders can lead to disputes that result in serious time and cost burdens. Developing effective strategies to best address the conflicts is significant for the successful completion of projects. Even though there are studies selecting Dispute Resolution Methods (DRMs), the literature lacks a step-by-step methodology for the proper selection of DRMs for contractual and relational conflicts. To address the gap, this study utilizes the Choosing-by-Advantages (CBA) method to select among the DRMs based on a set of identified construction risks. According to the CBA method, alternatives, factors, criteria, attributes, and advantages are determined. The study proposes several factors, including “claims management”, “design management”, “construction management”, “contract”, and “coordination and relationship”. The alternatives are considered as negotiation, mediation, arbitration, and litigation. Thirteen interviews were conducted with industry experts. The findings implied that “negotiation” was the best option regarding the highest Importance of Advantages with the lowest cost. This study contributes to the literature by systematically implementing CBA in dispute resolution to guide industry practitioners in managing conflicts. This study presents a novel application of the CBA method in the context of DRM selection, extending its application beyond the traditional selection problems, such as designer and subcontractor selection. Moreover, the study helps practitioners, mediators, and policymakers assess existing DRMs and select the most suitable option using the CBA framework

Organized Industrial Zones (OIZs) are highly vulnerable to disasters and business continuity disruptions due to their intensive production activities, critical infrastructure connections, and the concentration of numerous businesses. However, studies that address disaster management and business continuity performance together in OIZs and quantitatively test the relationships among the variables affecting this performance are limited. This study aims to identify the key variables affecting this performance and to test the relationships among them within a holistic structural model. A conceptual framework based on the literature and a questionnaire were developed accordingly; data were collected from 81 participants with knowledge and experience in this field. The proposed model was analyzed using Structural Equation Modeling (SEM). The findings showed that management and leadership have a strong influence on mitigation and preparedness processes, and that disaster management performance can largely be shaped by response and recovery capacity. The results revealed that disaster management performance in OIZs is strengthened not only by mitigation and preparedness activities but also by transforming these activities into effective response and recovery capacity. This paper contributes to the literature by proposing an integrated model and provides practitioners with a framework for developing capacity for mitigation, preparation, coordination, response, and recovery.