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首页> 外文期刊>Annals of Operations Research >Environmental performance evaluation with big data: theories and methods
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Environmental performance evaluation with big data: theories and methods

机译：大数据环境绩效评估：理论与方法

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摘要

Traditional theories and methods for comprehensive environmental performance evaluation are challenged by the appearance of big data because of its large quantity, high velocity, and high diversity, even though big data is defective in accuracy and stability. In this paper, we first review the literature on environmental performance evaluation, including evaluation theories, the methods of data envelopment analysis, and the technologies and applications of life cycle assessment and the ecological footprint. Then, we present the theories and technologies regarding big data and the opportunities and applications for these in related areas, followed by a discussion on problems and challenges. The latest advances in environmental management based on big data technologies are summarized. Finally, conclusions are put forward that the feasibility, reliability, and stability of existing theories and methodologies should be thoroughly validated before they can be successfully applied to evaluate environmental performance in practice and provide scientific basis and guidance to formulate environmental protection policies.
机译：尽管大数据的准确性和稳定性存在缺陷，但传统的用于综合环境绩效评估的理论和方法仍面临着大数据出现的挑战，因为大数据的数量大，速度快，多样性高。在本文中，我们首先回顾有关环境绩效评估的文献，包括评估理论，数据包络分析方法以及生命周期评估和生态足迹的技术和应用。然后，我们介绍了与大数据有关的理论和技术，以及在相关领域中的应用和机遇，然后对问题和挑战进行了讨论。总结了基于大数据技术的环境管理的最新进展。最后，得出的结论是，现有理论和方法论的可行性，可靠性和稳定性必须得到充分验证，然后才能成功地应用于实践中评价环境绩效，为制定环境保护政策提供科学依据和指导。

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