2022
DOI: 10.1007/s11356-022-21475-5
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ICT in disaster management context: a descriptive and critical review

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Cited by 7 publications
(3 citation statements)
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“…"urban", "city", and "cities" [25][26][27][28]. Finally, we scoped the publications related to disaster management through the keywords "disaster", "natural hazard", "flood", "landslide", "earthquake", "storm", "hurricane", "wildfire", "tornadoes", "cyclones", "drought", "tsunami", "typhoon", "avalanche", "heatwave", "volcan*", and "gully erosion" [8,[29][30][31][32][33][34][35][36]. Therefore, our final search string was "TS = ("internet of thing*" OR "IoT" OR "IoTs" OR "wireless sensor network*" OR "WSN" OR "WSNs" OR "Internet of Everything" OR "IoE") AND TS = (urban OR city OR cities) AND TS = (disaster* OR "natural hazard*" OR flood* OR landslide* OR earthquake* OR storm* OR hurricane* OR wildfire* OR tornado* OR cyclone* OR drought OR tsunami* OR typhoon* OR avalanche* OR heatwave* OR volcan* OR "gully erosion*")".…”
Section: Methodsmentioning
confidence: 99%
“…"urban", "city", and "cities" [25][26][27][28]. Finally, we scoped the publications related to disaster management through the keywords "disaster", "natural hazard", "flood", "landslide", "earthquake", "storm", "hurricane", "wildfire", "tornadoes", "cyclones", "drought", "tsunami", "typhoon", "avalanche", "heatwave", "volcan*", and "gully erosion" [8,[29][30][31][32][33][34][35][36]. Therefore, our final search string was "TS = ("internet of thing*" OR "IoT" OR "IoTs" OR "wireless sensor network*" OR "WSN" OR "WSNs" OR "Internet of Everything" OR "IoE") AND TS = (urban OR city OR cities) AND TS = (disaster* OR "natural hazard*" OR flood* OR landslide* OR earthquake* OR storm* OR hurricane* OR wildfire* OR tornado* OR cyclone* OR drought OR tsunami* OR typhoon* OR avalanche* OR heatwave* OR volcan* OR "gully erosion*")".…”
Section: Methodsmentioning
confidence: 99%
“…It has been reasoned that, with the growing consequence to situational mindfulness of geospatial data sources, the sharing of this information in effective, efficient ways is a primary goal for disaster risk reduction [33]. Technology, Geographic Information System (GIS) modeling for local-scale hazard inference, and big data analysis can be aids in understanding threats, and sharing information about them can support resilience and sustainability [34,35]. Beyond sharing information, reducing the gap between risk information and individual perception of risk has been a goal, as evidenced in the study by Fischer and colleagues [36] linking seismic vulnerability and stakeholder discussions about real versus perceived risk in a densely populated district in Italy.…”
Section: Public Roles and Concepts In Resiliencementioning
confidence: 99%
“…The challenges of the next decades will require a complete rethinking of urban settlements; in this scenario, public space constitutes a key system for the implementation of strategies to increase resilience, reduce vulnerability and implement strategies for climate adaptation [37]. In this context, enabling technologies, such as GIS systems, contribute to the risk analysis and simulation of interventions to support decision-makers in planning and design [38][39][40].…”
Section: Introductionmentioning
confidence: 99%