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Summary: Motivation: The scientific community devotes considerable attention to defining and implementing approaches for preventing and managing disasters. The article presents an innovative disaster management approach that considers societal, economic, and environmental issues and expectations, in order to stimulate actors' collaboration at different scales (local, national, etc.). Purpose: The article proposes an innovative approach to disaster management that integrates the characteristics of recent approaches—resilience‐based, sustainability‐based, and responsible research and innovation (RRI)‐based. Methods and approach: The article present a detailed overview of the evolution of disaster management approaches, evaluating their different characteristics to identify the most effective approach, as well as an analysis of the pillars characterizing the resilience, sustainability, and RRI concepts and the different phases of each approach. Findings The article suggests practices to reduce/mitigate the impacts of disasters, classified according to their different actors and components. Policy implications: First, the implementation of the approach has to be aligned with adequate policies or funding. It also requires the involvement of many different actors and a range of public‐sector agencies at different levels of government. [ABSTRACT FROM AUTHOR]

The increasing use of social media and the recent advances in geo-positioning technologies have produced a great amount of geosocial data, consisting of spatial, textual, and social information, to be managed and queried. In this paper, we focus on the issue of query processing by providing a systematic literature review of geosocial data representations, query processing methods, and evaluation approaches published over the last two decades (2000–2020). The result of our analysis shows the categories of geosocial queries proposed by the surveyed studies, the query primitives and the kind of access method used to retrieve the result of the queries, the common evaluation metrics and datasets used to evaluate the performance of the query processing methods, and the main open challenges that should be faced in the near future. Due to the ongoing interest in this research topic, the results of this survey are valuable to many researchers and practitioners by gaining an in-depth understanding of the geosocial querying process and its applications and possible future perspectives. [ABSTRACT FROM AUTHOR]