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Construction of collaborative mapping engine for dynamic disaster and emergency response

Guoqiang Peng (), Yongning Wen, Yuting Li, Songshan Yue and Zhiyao Song
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Guoqiang Peng: Nanjing Normal University
Yongning Wen: Nanjing Normal University
Yuting Li: Nanjing Normal University
Songshan Yue: Nanjing Normal University
Zhiyao Song: Nanjing Normal University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2018, vol. 90, issue 1, 217-236

Abstract: Abstract In the collaborative mapping of disasters, response situations and decisions, it is important to support various emergency responders with a unified platform to help in decision making and coordinating emergency action. However, most existing symbol libraries focus primarily on representing disasters and related information. These libraries lack specific symbols to map response situations and emergency decisions. For representation of dynamic disasters and response factors, these symbols support rich interactive editing after the symbols are mapped. In addition, decision making and mapping of disasters and response situations typically involve different domains of expertise and different responsibilities of map makers. It is essential to construct a collaborative mapping engine that supports disaster and emergency mapping on a collaborative platform. However, most existing methods of collaboration cannot readily support collaboration on symbols containing complex data structures or accommodate rich interactive editing operations. This article proposes a collaborative mapping engine for dynamic disasters and emergency responses. To support collaborative mapping based on complex data structures and rich interactive map symbols, it proposes a method of mapping operation replication to implement collaboration. Additionally, strategies were designed to enhance the efficiency and stability of collaboration. Finally, an experiment was conducted using the Wenchuan earthquake as an example. The results reveal that the engine can contribute to improved mapping efficiency and management during emergencies.

Keywords: Collaborative mapping; Dynamic disaster; Dynamic emergency response; Interactive mapping (search for similar items in EconPapers)
Date: 2018
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