Evaluation of Smart Response Systems for City Emergencies and Novel UV-Oriented Solution for Integration, Resilience, Inclusiveness and Sustainability

At present, frequent natural and human-involved disasters and urgent events pose serious threats to human society and call for the smart response system for city emergencies to improve its disaster preparedness and response. In this paper, we first investigate the challenges of the emergency response system, including the inefficiency of prediction before emergencies, uncoordinated preparedness for disasters, and lacking communication and collaboration across different departments as well as unpreparedness of secondary challenges in healthcare, environmental protection, and humanity. We then evaluate, from the UV perspective, the current status of the smart response system for city emergencies based on the framework of a closed feedback control loop: data acquisition, communication, decision-making, and action. We propose that effective smart emergency response should consider the interaction between smart response system for city emergency and other seven smart city subsystems: smart home, smart medicine and healthcare, intelligent transportation, urban planning and crowd management, smart energy management, smart city infrastructure, smart environmental protection system, and smart humanity. It should also study how smart emergency response would be affected by four major impacting factors of smart cities: information flow, material cycle, lifestyle, and community. This systematic study enables us to improve preparedness, coordination & adaptiveness, safety, robustness & resilience of the current smart emergency response system and propose a UV-oriented, integrated, resilient, inclusive, and sustainable development framework design to address current imminent challenges and improve the response-ability through 1) hierarchical emergency response procedures for individuals, communities, and cities before, during, and after emergencies 2) hybrid, integrative, needed-based data acquisition 3) effective communication channel construction and information sharing 4) adaptive decision-making based on hierarchical knowledge level 5) human-centered and capacity-focused action.