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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Evaluation system for the sustainable development of urban transportation and ecological environment based on SVM
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Evaluation system for the sustainable development of urban transportation and ecological environment based on SVM

机译：基于SVM的城市交通与生态环境可持续发展评价体系

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摘要

On the background of national economic growth and urbanization process in a long period in China, urban transportation system has experienced an unprecedented growth. The growth of traffic volume and acceleration of motorization has caused a lot of environmental problems which seem more and more serious in some cities. So how to evaluate the sustainability of urban transportation system and ecological environment system has become an important issue. This paper constructs an evaluation index system through Delphi method, and Support Vector Machine which has been successfully applied to evaluate system states is used to make the evaluation. Twenty-two cities in Yangtze River Economic Belt is selected for empirical research. The results show that the evaluation index system is reasonable. Support vector machine can applicably evaluate the status of the selected cities in real time with robustness and fault-tolerant ability. The evaluation results can provide a scientific basis for future urban transportation development. Finally, suggestions including optimizing urban traffic structure, developing intelligent transportation system and strengthen the control of motor vehicle emissions and construction of road greening are provided with the purpose of ensuring and promoting the sustainability and coordination between urban transportation and ecological environment.
机译：在中国长期以来，中国经济增长与城市化进程的背景下，城市交通系统经历了前所未有的增长。交通量和电动化加速的增长导致了很多环境问题，这在一些城市似乎越来越严重。所以如何评价城市交通系统的可持续性和生态环境系统已成为一个重要问题。本文通过Delphi方法构建评估指标系统，并通过已成功应用于评估系统状态的支持向量机进行评估。为经验研究选择了长江经济带的二十二个城市。结果表明，评估指标体系是合理的。支持向量机可以实时评估所选城市的状态，以鲁棒性和容错能力。评估结果可以为未来的城市交通发展提供科学依据。最后，提供了优化城市交通结构，开发智能交通系统和加强机动车排放控制和道路绿化的控制的建议，目的是确保和促进城市运输与生态环境之间的可持续性和协调。

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