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Urban Rail Transit Environmental Impact Assessment Based on Extension Matter-Element Model

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Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 105))

Abstract

Urban rail transit environmental impact level is affected by many factors. In the account of various factors, this paper established an index system for the overall assessment of urban rail transit environmental impact. Based on matter-element model and extension mathematical methods, an extension matter-element model was established to assess the level of urban rail transit environmental impact. Through correlation and level calculation, objective and accurate urban rail transit environmental impact assessment results were worked out. The analysis and computation results showed that this method with simple actual operation can effectively ensure the assessment quality and efficiency.

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Author information

Authors and Affiliations

  1. School of Economy and Management, Changsha University of Science and Technology, Changsha, 410004, China

    Wenbin Tang & Fenghua Wen

  2. School of Civil Engineering and Architecture, Central South University, Changsha, 410075, China

    Wenbin Tang, Feilian Zhang & Hongyan Yan

  3. Department of Engineering Management, Hunan University of Finance and Economics, Changsha, 410205, China

    Hongyan Yan

Authors
  1. Wenbin Tang
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  2. Feilian Zhang
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  3. Fenghua Wen
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  4. Hongyan Yan
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Editor information

Editors and Affiliations

  1. Wuhan Section Special No.1, International Science & Education Researcher Association, Jiangxia Road of Wuhan, Wuhan, China

    David Jin

  2. Guangzhou Section, International Science & Education Researcher Association, No.144, Jinheng Road Jinbi Garden 85-1102 southern Road of Industry Avenue Haizhu District, Guangzhou, Guang Dong provience, China

    Sally Lin

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© 2011 Springer-Verlag Berlin Heidelberg

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Tang, W., Zhang, F., Wen, F., Yan, H. (2011). Urban Rail Transit Environmental Impact Assessment Based on Extension Matter-Element Model. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_91

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  • DOI: https://doi.org/10.1007/978-3-642-23756-0_91

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23755-3

  • Online ISBN: 978-3-642-23756-0

  • eBook Packages: EngineeringEngineering (R0)

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