Routledge Social Sensing Big Data Computing Disaster Management - Routledge

Social Sensing and Big Data Computing for Disaster Management explores cutting-edge approaches to harnessing social sensing and big data technologies for effective disaster response and recovery. This Routledge publication examines how social media data and advanced computing methods can extract disaster-relevant information, assess impact areas, map populations, identify occurrence patterns, and address geographical disparities in data availability. Unlike traditional remote sensing and field surveying methods that often struggle with timeliness, this book demonstrates how real-time social data integration strengthens decision support systems for disaster management professionals, emergency responders, and policy makers seeking to improve situational awareness and coordinate more effective relief efforts.