Last modified: 2016-09-04
Abstract
Technologies and applications of Internet of Things （IoT） and big data analytics are the key emerging issues in academia and industries. Understanding and shaping the theories of environmental sensing and the protocols of multiple-source spatial data collection, communication, sharing and analytics for better environmental monitoring and management are the key issues in geographic information science. Therefore, the objective of the project is to establish an urban environmental sensing infrastructure with crowdsourcing and spatial big data for early warning of critical conditions. Based on the infrastructure, we will also emphasize on innovative applications for detecting urban critical conditions, including street-scale heat environment and near real-time population flow in urban settings. We propose the framework of the project which is composed of four sub-projects, including: 1. a crowdsourcing decision support platform for multiple-source sensor data fusion and analytics; 2. establishment of intelligent wireless environmental sensing and traffic monitoring systems; 3. conducting the application for analyzing temporal-spatial patterns of urban street-level thermal environmental and physiological equivalent temperature; and 4. Establishment of a multilayer urban population flow modeling framework for assessing spatial transmission risk of contagious disease. In summary, this project will establish an urban environmental sensing infrastructure to further understand the interactions between physical and social environment for detecting early warning signals of urban critical conditions.
Keywords
References
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