97 / 2021-11-30 20:52:05
Research on Evaluation Model of Sustainable Development Level of Urban Street Network System Based on BP Neural Network
street network system,low-carbon,sustainable development,evaluation model, structure,density
摘要录用
ABSTRACT:As the framework of the area, the urban street network system supports the overall development of the area. The street network system not only affects the type and intensity of surrounding land , but also affects the structure and form of urban space. Under the background of "Carbon Neutrality" and "Carbon Emission Peak", the carbon emission of street transportation system has become an important proportion of regional carbon emission. Therefore, it is necessary to establish a low-carbon sustainable development evaluation system of street network. Firstly, 12 evaluation indexes of low-carbon sustainable development of urban street network system are selected from the aspects of road engineering, service level and environmental quality.Then an evaluation model is established based on BP(back propagation) neural network to calculate the grade of low-carbon sustainable development level of urban street network system. At the same time, the indexes of three different street network types from Dongzhimen District, Wanquansi District and Yizhuang District of Beijing are substituted into the evaluation model to operate. The evaluation results are regressed with the indexes. It is found that the street network types with clear structure level, moderate network density and multiple intermodal modes have a high level of low-carbon sustainable development. This study provides theoretical support for the evaluation and improvement of the sustainable development level of urban street network system under the background of realizing the strategic goal of "Carbon Neutrality" and "Carbon Emission Peak".

 
重要日期
  • 会议日期

    05月26日

    2022

    05月27日

    2022

  • 05月03日 2022

    初稿截稿日期

  • 05月26日 2022

    报告提交截止日期

  • 05月28日 2022

    注册截止日期

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中国矿业大学
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