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The Gradation Relationship Model and Application of Urban Multimodal Transit Networks

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Green Intelligent Transportation Systems (GITSS 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 419))

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Abstract

Aiming at the situation that the rational allocation of multimodal transit networks planning is ambiguous in China, firstly, the characteristics of residents’ transit trip distance are analyzed, and the distance distribution model of residents’ transit trip is built with double parameters Weibull distribution; secondly, preponderant trip distance of each transit network is presented based on the generalized travel cost; finally, the gradation model of urban multimodal transit networks is proposed based on the balanced analysis of supply and demand. Moreover, taking transit networks of Harbin as an example, a reasonable scale and gradation relationship of each transit network of Harbin in 2020 is calculated; the results are matched with the expected demand in 2020, which demonstrates that the model is reasonable and feasible. This paper provides a new approach for determining the reasonable gradation relationship of multimodal transit networks.

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References

  1. Ciaffi, F., E. Cipriani, and M. Petrelli. 2012. Feeder bus network design problem: A new metaheuristic procedure and real size applications. Procedia-Social and Behavioral Sciences 54: 798–807.

    Article  Google Scholar 

  2. Bagloee, S.A., and A.A. Ceder. 2011. Transit-network design methodology for actual-size road networks. Transportation Research Part B: Methodological 45 (10): 787–1804.

    Google Scholar 

  3. Walle, S.V., and T. Steenberghen. 2006. Space and time related determinants of public transport use in trip chains. Transportation Research Part A: Policy and Practice 40 (2): 151–162.

    Google Scholar 

  4. Von Ferber, C., T. Holovatch, Y. Holovatch, et al. 2009. Public transport networks: Empirical analysis and modeling. The European Physical Journal B 68 (2): 261–275.

    Article  Google Scholar 

  5. Chen, C., Y. Xu, and X. Fu. 2010. Travel time reliability appraisal for urban multi-modal public transport network. Journal of Transport Information and Safety 4 (28): 27–30.

    Google Scholar 

  6. Zhang, J., X. Xu, L. Hong, et al. 2011. Networked analysis of the Shanghai metro network, in China. Physica A: Statistical Mechanics and its Applications 390 (23): 4562–4570.

    Article  Google Scholar 

  7. Yang, J., and D. Zhang. 2008. Discussion on hierarchy planning method of urban public traffic network. Railway Transport and Economy 5 (30): 50–53.

    Google Scholar 

  8. Wang, Z., X. Luo. 2015. Scale calculation urban rail transit network under the condition of comprehensive transportation system. Journal of Chang’an University (Natural Science Edition, 2015) (35): 193–197.

    Google Scholar 

  9. Shi, F., and Y. Ju. 2013. Analysis on influencing factors of public transportation share: An empirical study of center Nanjing. City Planning Review 23: 76–84.

    Google Scholar 

  10. Shenzhen Municipal Engineering Consulting Center. 2003. Research on the near future planning of conventional public transit network in Shenzhen [EB]. http://www.docin.com/p-1025106653.html.

  11. Jia, S. 2011. Transportation economics. Beijing: People’s Communication Press.

    Google Scholar 

  12. Tang, J., C. Wang, and D. Zuo. 2013. Optimization model and arithmetic of region transportation structure based on optimization adjusting path. Mathematics in Practice and Theory 43 (13): 85–91.

    Google Scholar 

  13. Shi, F., L. Deng, and L. Huo. 2007. Boarding choice behavior and its utility of railway passengers. China Railway Science 6: 117–121.

    Google Scholar 

  14. Qi, T., D. Liu, and Y. Liu. 2008. A study of the traveling time cost of Beijing residents. Journal of Highway and Transportation Research and Development 25 (6): 144–146.

    Google Scholar 

  15. Beijing Transportation Research Center. 2015. Beijing Transport Annual Report in 2015. http://www.docin.com/p-1484581121.html?qq-pf-to=pcqq.c2c.

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Acknowledgements

This research was supported by the Fundamental Research Funds for the Central Universities (HIT.NSRIF.2012061) and Harbin Special Fund Program in Innovation Talents of Science and Technology (2016RAQXJ079).

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Correspondence to Xian-cai Jiang .

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Jiang, Xc., Mo, Jl., Li, Yh. (2018). The Gradation Relationship Model and Application of Urban Multimodal Transit Networks. In: Wang, W., Bengler, K., Jiang, X. (eds) Green Intelligent Transportation Systems. GITSS 2016. Lecture Notes in Electrical Engineering, vol 419. Springer, Singapore. https://doi.org/10.1007/978-981-10-3551-7_29

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  • DOI: https://doi.org/10.1007/978-981-10-3551-7_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3550-0

  • Online ISBN: 978-981-10-3551-7

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