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Research on Comprehensive Benefits of Urban Rail Transit System Based on the Joint Evaluation Methods

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 848))

Abstract

In this paper, based on qualitative and quantitative analysis method and the use of theoretical deduction, model building, empirical research and statistical analysis, the comprehensive benefits of urban rail transit system are studied. This paper analyzed the system structure of the comprehensive benefits of urban rail transit system, and described the traffic benefits, economic benefits, social benefits from the angles of causal relationship, then revealed the system correlation and development law of the various benefits of urban rail transit system. In this paper, the analytical hierarchy process and fuzzy comprehensive evaluation method were used to establish a comprehensive evaluation model, which constructed the evaluation process and improved the evaluation system of existing rail transit system. Finally, the author conducted an empirical study, tested the evaluation methods and analyzed the results, then put forward some suggestions on the development strategy of urban rail transit system and provided decision support.

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Acknowledgments

The funds of this paper are provided by the Beijing Polytechnic project of Research on Comprehensive Benefits of Urban Rail Transit System. We very much appreciate the valuable comments of Dongye Sun, Jianghua Gao and Yuan Liu.

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Correspondence to Hongjiao Xue .

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Xue, H., Yang, P., Zhang, H. (2018). Research on Comprehensive Benefits of Urban Rail Transit System Based on the Joint Evaluation Methods. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_41

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  • DOI: https://doi.org/10.1007/978-981-13-0893-2_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0892-5

  • Online ISBN: 978-981-13-0893-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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