Urban Rail Transit Network Evaluation Based on TOPSIS

Article Preview

Abstract:

In order to improve the objectivity of urban rail transit network evaluation and achieve the sub-file of quality level of preliminary planning, a comprehensive evaluation method for urban rail transit network was proposed based on TOPSIS, then the evaluation model of urban rail transit network was constructed. This method was applied to Xian urban rail transit network planning. The result shows that case-4 is best one among the four urban rail transit network planning of Xian and consistent with the passenger flow prediction. The evaluation model for urban rail transit network based on TOPSIS is objective, which involves few parameters, simple operation, science evaluation and provides a basis of decision for urban rail transit network planning.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1891-1894

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] F.Z. Li, S.J. Hu. Journal of Traffic and Transportation Engineering, (2001).

Google Scholar

[2] Mao Baohua. Be ijing: China Communications Press, (2006).

Google Scholar

[3] J.L. Ji, F.Z. Li. System Engineering Theory and Practice, (2004).

Google Scholar

[4] X.C. Guo, S. Lu, S.H. Xie, B. Hu. Urban Mass Transit, (2000).

Google Scholar

[5] C.Q. Ma , et al. Journal of Chang 'an University (Natural Science Edition), (2007).

Google Scholar

[6] J. Yang, J.S. Zhang. Environmental Science and Management, (2009).

Google Scholar

[7] Y.Z. Zhang, Y.S. Yan, N. Jiang, H.W. Zhang. Journal of Railway Engineering Society, (2010).

Google Scholar

[8] C.L. Hwang, K. Yoon, Multiple Attribute Decision Making: Methods and Applications, Springer-Verlag, Berlin, Heidelberg, New York, (1981).

Google Scholar

[9] Chang'An University. Planning for Xi'an Urban Rail Transit Network. " Xi'an: Chang, An University, (2010).

Google Scholar