IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i13p5295-d378532.html
   My bibliography  Save this article

Evaluation of Space Service Quality for Facilitating Efficient Operations in a Mass Rapid Transit Station

Author

Listed:
  • I-Chen Wu

    (Department of Civil Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

  • Yi-Chun Lin

    (Department of Civil Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

Abstract

In an urban public transport system, mass rapid transit (MRT) stations play an important role in the concentration and deconcentration of passengers. Spatial conflicts and unclear routes may lead to crowding in MRT stations and reduce their operational efficiency. For this reason, this study proposes a space service quality evaluation method based on agent-based simulation by employing spatial information from building information modeling (BIM) systems as boundary constraints. Moreover, passengers and trains are simulated as interacting agents with complex behaviors in a limited space. This method comprehensively assesses congestion, noise, and air quality to determine service quality in different spaces. Moreover, the results are visualized in different ways for decision making about space planning. Finally, this research demonstrates and verifies the functions of the proposed system with an actual MRT station. Such simulation results can be used as a reference for management personnel to adjust space/route plans to increase passenger satisfaction environment quality, and operational efficiency in the operation stage of an MRT station. The evaluation method establishes valid and reliable measures of service performance and passenger satisfaction as well as other performance outcomes.

Suggested Citation

  • I-Chen Wu & Yi-Chun Lin, 2020. "Evaluation of Space Service Quality for Facilitating Efficient Operations in a Mass Rapid Transit Station," Sustainability, MDPI, vol. 12(13), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5295-:d:378532
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/13/5295/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/13/5295/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    2. Francis, Jacinta & Wood, Lisa J. & Knuiman, Matthew & Giles-Corti, Billie, 2012. "Quality or quantity? Exploring the relationship between Public Open Space attributes and mental health in Perth, Western Australia," Social Science & Medicine, Elsevier, vol. 74(10), pages 1570-1577.
    3. te Brömmelstroet, Marco & Bertolini, Luca, 2008. "Developing land use and transport PSS: Meaningful information through a dialogue between modelers and planners," Transport Policy, Elsevier, vol. 15(4), pages 251-259, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sunkuk Kim, 2021. "Technology and Management for Sustainable Buildings and Infrastructures," Sustainability, MDPI, vol. 13(16), pages 1-3, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stock, Eduardo Velasco & da Silva, Roberto, 2023. "Lattice gas model to describe a nightclub dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    2. Varas, A. & Cornejo, M.D. & Mainemer, D. & Toledo, B. & Rogan, J. & Muñoz, V. & Valdivia, J.A., 2007. "Cellular automaton model for evacuation process with obstacles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(2), pages 631-642.
    3. Murilo S Baptista & Hai-Peng Ren & Johen C M Swarts & Rodrigo Carareto & Henk Nijmeijer & Celso Grebogi, 2012. "Collective Almost Synchronisation in Complex Networks," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-11, November.
    4. Xianing Wang & Zhan Zhang & Ying Wang & Jun Yang & Linjun Lu, 2022. "A Study on Safety Evaluation of Pedestrian Flows Based on Partial Impact Dynamics by Real-Time Data in Subway Stations," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    5. Chen, Changkun & Sun, Huakai & Lei, Peng & Zhao, Dongyue & Shi, Congling, 2021. "An extended model for crowd evacuation considering pedestrian panic in artificial attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    6. Jiang, Wenhao & Stickley, Andrew & Ueda, Michiko, 2021. "Green space and suicide mortality in Japan: An ecological study," Social Science & Medicine, Elsevier, vol. 282(C).
    7. Michael Batty & Jake Desyllas & Elspeth Duxbury, 2003. "Safety in Numbers? Modelling Crowds and Designing Control for the Notting Hill Carnival," Urban Studies, Urban Studies Journal Limited, vol. 40(8), pages 1573-1590, July.
    8. Ma, Jian & Song, Wei-guo & Zhang, Jun & Lo, Siu-ming & Liao, Guang-xuan, 2010. "k-Nearest-Neighbor interaction induced self-organized pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(10), pages 2101-2117.
    9. Illés J Farkas & Shuohong Wang, 2018. "Spatial flocking: Control by speed, distance, noise and delay," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-12, May.
    10. Zheng, Yaochen & Chen, Jianqiao & Wei, Junhong & Guo, Xiwei, 2012. "Modeling of pedestrian evacuation based on the particle swarm optimization algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(17), pages 4225-4233.
    11. Yue, Hao & Zhang, Junyao & Chen, Wenxin & Wu, Xinsen & Zhang, Xu & Shao, Chunfu, 2021. "Simulation of the influence of spatial obstacles on evacuation pedestrian flow in walking facilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    12. Delclòs-Alió, Xavier & Miralles-Guasch, Carme, 2018. "Looking at Barcelona through Jane Jacobs’s eyes: Mapping the basic conditions for urban vitality in a Mediterranean conurbation," Land Use Policy, Elsevier, vol. 75(C), pages 505-517.
    13. Sungryong Bae & Jun-Ho Choi & Hong Sun Ryou, 2020. "Modification of Interaction Forces between Smoke and Evacuees," Energies, MDPI, vol. 13(16), pages 1-10, August.
    14. Lasse Pedersen, 2009. "When Everyone Runs for the Exit," International Journal of Central Banking, International Journal of Central Banking, vol. 5(4), pages 177-199, December.
    15. Shiwakoti, Nirajan & Sarvi, Majid, 2013. "Understanding pedestrian crowd panic: a review on model organisms approach," Journal of Transport Geography, Elsevier, vol. 26(C), pages 12-17.
    16. Ofer Tchernichovski & Marissa King & Peter Brinkmann & Xanadu Halkias & Daniel Fimiarz & Laurent Mars & Dalton Conley, 2017. "Tradeoff Between Distributed Social Learning and Herding Effect in Online Rating Systems," SAGE Open, , vol. 7(1), pages 21582440176, February.
    17. Krbálek, Milan & Hrabák, Pavel & Bukáček, Marek, 2018. "Pedestrian headways — Reflection of territorial social forces," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 38-49.
    18. Marco Te Brömmelstroet & Luca Bertolini, 2010. "Integrating land use and transport knowledge in strategy-making," Transportation, Springer, vol. 37(1), pages 85-104, January.
    19. Natalie Fridman & Gal A. Kaminka, 2010. "Modeling pedestrian crowd behavior based on a cognitive model of social comparison theory," Computational and Mathematical Organization Theory, Springer, vol. 16(4), pages 348-372, December.
    20. Dirk Helbing & Pratik Mukerji, "undated". "Crowd Disasters as Systemic Failures: Analysis of the Love Parade Disaster," Working Papers ETH-RC-12-010, ETH Zurich, Chair of Systems Design.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5295-:d:378532. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.