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As an effective measure for regulating the greenhouse gas emissions, Emission Trading Scheme (ETS) has been widely implemented. Market designers and participants are in urgent need of decision-support tools with quantitative risk analysis capability. However, one of the biggest challenges lies in that the physical laws, economic laws and human behaviors are intertwined in the emission risk prevention...
Understanding human mobility is important for the development of intelligent mobile service robots as it can provide prior knowledge and predictions of human distribution for robot-assisted activities. In this paper, we propose a probabilistic method to model human motion behaviors which is determined by both internal and external factors in an indoor environment. While the internal factors are represented...
The overall performance of emission trading (ET), a market-based emission regulation tool, strongly relies on participants' participation and responses. In order to improve market design, it is important for policy makers to understand the participants' trading behaviors in different market environments. However, human behaviors cannot be easily modeled with conventional analytical methods due to...
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