A human-activity-scenario-based Modeling Method for Collaborative Simulation and Evaluation in Virtual Geographic Environments

Authors: Chuanbo Hu*, Chinese University of Hong Kong, Mingyuan Hu, Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China , Hui Lin, Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China
Topics: Human-Environment Geography, Earth Science
Keywords: human-environmental; human-activity;Collaborative Simulation;virtual geographic environments
Session Type: Paper
Day: 4/4/2019
Start / End Time: 3:05 PM / 4:45 PM
Room: Washington 3, Marriott, Exhibition Level
Presentation File: No File Uploaded

Complex geographic problem research often focus on the interaction between human activities and geographic environments, which depends on multidisciplinary experts using their domain knowledge for collaborative scientific experiments based on different human activity scenarios. It is necessary to design an open modeling approach for simulation and evaluation of human-environmental based on different scenarios. This paper proposed a human-activity-scenario-based modeling framework based on Meta Object Facility framework in VGEs. Four core components (i.e. scenario, space-time, process and collaboration) was designed to comprehensively characterize complex solutions for human-environmental research. They can be instantiated into a nine-tuple information description structure. In addition, to meet the complex collaborative simulation requirements, a role-based conflict policy mechanism is designed and implied in the collaborative component. It can resolve multiple conflicts through human-machine collaboration based on different expert roles and corresponding restraints. Furthermore, a collaborative simulation and evaluation platform for human-environmental research was implemented to verify the feasibility of the proposed modeling framework. Taking the evaluation of the potential land use projections of China from 2010 to 2100 as an application case, multidisciplinary experts built a solution through coupling Global change assessment model and Future land use simulation model, and then collaborate to simulate the impacts of emission assumptions on land-use changes in the emission scenario with three targets. Evaluation results show overall geospatial characteristics for each land use variation in VGEs. It illustrate how the proposed modeling method can play a significant role in a number of critical human-environmental research issues with interoperability and expansion.

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