Skip to main content
SpringerLink
Log in

The Optimization Method of the Layout of Integrated Passenger Transport Terminals in Beijing-Tianjin- Hebei Urban Agglomeration

  • Conference paper
  • First Online:
Advances in Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1587))

Included in the following conference series:

  • 908 Accesses

Abstract

In order to meet the demand for passenger transport and improve the overall operation efficiency of the integrated passenger transport system in the region within the urban agglomeration, the optimization method of the layout of integrated passenger transport terminals in the urban agglomeration are researched in this paper, and the Beijing-Tianjin-Hebei urban agglomeration is considered as our research object. Firstly, the influential factors of the location and layout of the integrated passenger transport terminal are qualitatively analyzed. Secondly the degree of charm indexes are defined, and next the selection model of alternative points based on the degree of charm of the terminal is built, and then the degree of charm value is calculated comprehensively by the analytic hierarchy process (AHP) and multi-level fuzzy evaluation method. Then, on the basis of determined the alternative points of the terminal, the layout of the terminals is optimized based on the P-median location model, and Microcity software is used to solve the model. Finally, an instance is given to prove that the model method has a certain guiding effect on the layout optimization of urban agglomeration comprehensive passenger terminals.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Marianov, V., Figuera, D., Revelle, C.: Location of hubs in a competitive environment. Eur. J. Oper. Res. 14(2), 363–371 (1999)

    Article  Google Scholar 

  2. Costa, M.D.G., Captive, M.E., Climaco, J.: Capacitated single allocation hub location problem-a bi-criteria approach. Comput. Oper. Res. 35(11), 3671–3695 (2008)

    Article  Google Scholar 

  3. Khasnabis, S.: Land use and transit integration and transit use incentives. Transp. Res. Rec. J. Transp. Res. Board 1618(1), 39–47 (1998)

    Article  Google Scholar 

  4. Alumur, S., Kara, B.Y.: Network hub location problems: the state of the art. Eur. J. Oper. Res. 190(1), 19–121 (2008)

    Article  MathSciNet  Google Scholar 

  5. Li, T.T.: Hierarchical location problem of comprehensive passenger transport hub in city cluster under urbanization background. M.S. Dissertation, Jiaotong University, Beijing (2017)

    Google Scholar 

  6. Lv, S., Tian, F.: Location model of urban passenger intermodal transfer terminals. J. Shenzhen Univ. Sci. Eng. 24(2), 194–199 (2007)

    MathSciNet  Google Scholar 

  7. Wu, D.: Study on problems of passenger site layout in railway terminal. M.S. Dissertation. Southwest Jiaotong University (2010)

    Google Scholar 

  8. Xu, B., Zhu, J., Wen, J., Lin, S., Zhao, Y., et al.: Optimization for variable height wind farm layout model. Intell. Autom. Soft Comput. 29(2), 525–537 (2021)

    Article  Google Scholar 

  9. Al-Khateeb, B., Ahmed, K., Mahmood, M., Le, D.: Rock hyraxes swarm optimization: a new nature-inspired metaheuristic optimization algorithm. Comput. Mater. Continua 68(1), 643–654 (2021)

    Article  Google Scholar 

  10. Devi, R.M., Premkumar, M., Jangir, P., Elkotb, M.A., Elavarasan, R.M., et al.: IRKO: an improved Runge-Kutta optimization algorithm for global optimization problems. Comput. Mater. Continua 70(3), 4803–4827 (2022)

    Article  Google Scholar 

  11. Zeidabadi, F.A., Doumari, S.A., Dehghani, M., Montazeri, Z., Trojovský, P., et al.: Ambo: all members-based optimizer for solving optimization problems. Comput. Mater. Continua 70(2), 2905–2921 (2022)

    Article  Google Scholar 

  12. Jan, A.M., Mahmood, Y., Khan, H.U., Mashwani, W.K., Uddin, M.I., et al.: Feasibility-guided constraint-handling techniques for engineering optimization problems. Comput. Mater. Continua 67(3), 2845–2862 (2021)

    Article  Google Scholar 

Download references

Acknowledgement

This research was supported by the National Key Research and Development Program of China (2018YFB1601300).

Author information

Authors and Affiliations

  1. School of Transportation Science and Engineering, Beihang University, Beiijng, 102206, China

    Chen Sun, Xuting Duan, Daxin Tian & Xu Han

  2. China TransInfo Co. Ltd., Beijing, 100085, China

    Shudong Xia, Xuejun Ran & Yafu Sun

  3. Department of Engineering and Design, University of Sussex, Brighton, BN1 9RH, UK

    Xu Han

Authors
  1. Chen Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xuting Duan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Daxin Tian
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shudong Xia
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xuejun Ran
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Xu Han
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Yafu Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xuting Duan .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Xiaorui Zhang

  3. Jinan University, Guangzhou, China

    Zhihua Xia

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sun, C. et al. (2022). The Optimization Method of the Layout of Integrated Passenger Transport Terminals in Beijing-Tianjin- Hebei Urban Agglomeration. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2022. Communications in Computer and Information Science, vol 1587. Springer, Cham. https://doi.org/10.1007/978-3-031-06761-7_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-06761-7_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06760-0

  • Online ISBN: 978-3-031-06761-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation