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
Abstract Accepted
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".

 
Important Date
  • Conference Date

    May 26

    2022

    to

    May 27

    2022

  • May 03 2022

    Draft paper submission deadline

  • May 26 2022

    Contribution Submission Deadline

  • May 28 2022

    Registration deadline

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China University of Mining and Technology
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