Study title

The dataset comprises interview transcripts, interview guidelines, questionnaire survey templates, qualitative data coding structures, and published papers from three main studies of the project. The research was conducted by three researchers: (1) Investigating stakeholder collaboration for risk-sensitive urban planning using survey and case study strategies, (2) Exploring community engagement for risk-sensitive urban planning through a grounded theory study, and (3) Community resilience in risk-sensitive urban planning. Data for the stakeholder collaboration study were collected using questionnaire surveys and interviews with practitioners involved in disaster risk reduction and urban planning in Sri Lanka. The analysis utilized interpretive structural modeling and system dynamics. For the community engagement study, data were collected through key informant interviews with practitioners involved in disaster risk reduction, climate change adaptation, and urban planning, as well as focus group discussions with community participants in Sri Lanka. The analysis involved grounded theory-based qualitative data coding (open coding, focused coding, and theoretical coding), Total Interpretive Structural Modeling, stakeholder analysis, and social network analysis. The community resilience study data were collected using interviews in Pakistan, and the analysis was conducted through qualitative data coding and the Q-Sort method.During the last decade, many initiatives have been undertaken to make progress in disaster risk reduction (DRR) and response. However the progress in disaster risk reduction has been limited by the failure to acknowledge and address the development processes as the root causes of disasters. Previous initiatives have concentrated on reducing existing risks, rather than on how risks are generated and accumulated in the first place through development projects that are taking place as a part of the reconstruction phase after a disaster or in response...