IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v583y2021ics037843712100563x.html
   My bibliography  Save this article

Where luggage-related facilities should be placed along passageways in traffic hubs: Right, left, or in the middle?

Author

Listed:
  • Shi, Zhigang
  • Zhang, Jun
  • Song, Weiguo

Abstract

The interactions among luggage carriers and free pedestrians would bring disorders and conflicts in traffic hubs. In this work, we experimentally study the effect of luggage-related facility layouts on conflict reduction among pedestrians by changing three variables: the movement conditions (walking and running), the passageway width and position for luggage-carriers. The main findings are as follows. (i) By analyzing egress time and flow rate, it is found that the movement efficiency in scenarios where the luggage passageway is in the right (middle) is 16.2% (13.6%) higher than that in scenarios where the luggage passageway is in the left. (ii) The offset distances of scenarios where the luggage passageway is in the right are always lower than that in others regardless of movement conditions (walking and running) and the luggage passageway width (1 m and 1.8 m). (iii) In the same scenario, non-luggage pedestrians overtake others more frequently than luggage carriers with a permutation test. The findings suggest that the luggage-related facilities placed in the middle or right of a passageway along pedestrian movement direction enhance traffic efficiency.

Suggested Citation

  • Shi, Zhigang & Zhang, Jun & Song, Weiguo, 2021. "Where luggage-related facilities should be placed along passageways in traffic hubs: Right, left, or in the middle?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    • Handle: RePEc:eee:phsmap:v:583:y:2021:i:c:s037843712100563x
    DOI: 10.1016/j.physa.2021.126290
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843712100563X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2021.126290?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Qian Li & Changxu Ji & Limin Jia & Yong Qin, 2014. "Effect of Height on Pedestrian Route Choice between Stairs and Escalator," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-6, March.
    2. Shahhoseini, Zahra & Sarvi, Majid, 2019. "Pedestrian crowd flows in shared spaces: Investigating the impact of geometry based on micro and macro scale measures," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 57-87.
    3. Zhao, Yongxiang & Li, Meifang & Lu, Xin & Tian, Lijun & Yu, Zhiyong & Huang, Kai & Wang, Yana & Li, Ting, 2017. "Optimal layout design of obstacles for panic evacuation using differential evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 175-194.
    4. Huang, Shenshi & Wei, Ruichao & Lo, Siuming & Lu, Shouxiang & Li, Changhai & An, Chao & Liu, Xiaoxia, 2019. "Experimental study on one-dimensional movement of luggage-laden pedestrian," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 520-528.
    5. Gao, Yuxing & Zhuang, Yifan & Dong, Fangshu & Peng, Fei & Zhang, Ping & Yang, Lizhong & Ni, Yong, 2020. "Experimental study on the effect of trolley case on unidirectional pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 544(C).
    6. Zhi Ming Fang & Wei Lv & Li-Xue Jiang & Qing-Feng Xu & Wei-Guo Song, 2015. "Observation, simulation and optimization of the movement of passengers with baggage in railway station," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(11), pages 1-15.
    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. Shi, Zhigang & Zhang, Jun & Shang, Zhigang & Song, Weiguo, 2024. "Collision avoidance behaviours of luggage-laden pedestrians," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
    2. Jianlin, Li & Jun, Zhang & Xuehua, Song & Hang, Yu & Xintong, Li & Saizhe, Ding & Weiguo, Song, 2024. "The validation of pedestrian trajectories during turning and obstacle avoidance in virtual environments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    3. Fu, Libi & Chen, Yunqian & Qin, Huigui & Chen, Qiyi & He, Yangjian & Shi, Yongqian, 2023. "Dynamics of merging flow involving luggage-laden pedestrians in a Y-shaped corridor: An experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    4. Song, Chengcheng & Shao, Quan & Zhu, Pei & Dong, Min & Yu, Wenfei, 2023. "An emergency aircraft evacuation simulation considering passenger overtaking and luggage retrieval," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    5. Shi, Zhigang & Zhang, Jun & Shang, Zhigang & Fan, Minghao & Song, Weiguo, 2022. "The effect of obstacle layouts on regulating luggage-laden pedestrian flow through bottlenecks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).

    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. Shi, Zhigang & Zhang, Jun & Shang, Zhigang & Fan, Minghao & Song, Weiguo, 2022. "The effect of obstacle layouts on regulating luggage-laden pedestrian flow through bottlenecks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    2. Shi, Zhigang & Zhang, Jun & Shang, Zhigang & Song, Weiguo, 2024. "Collision avoidance behaviours of luggage-laden pedestrians," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
    3. Fu, Libi & Chen, Yunqian & Qin, Huigui & Chen, Qiyi & He, Yangjian & Shi, Yongqian, 2023. "Dynamics of merging flow involving luggage-laden pedestrians in a Y-shaped corridor: An experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    4. Zhang, Liye & Wen, Tianrun & Kong, Dong & Li, Jukong & Li, Leheng & Song, Jie, 2024. "Modeling the evacuation behavior of subway pedestrians with the consideration of luggage abandonment under emergency scenarios," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
    5. Shi, Dongdong & Ma, Jian & Luo, Qian & Li, Xiaofei & Chen, Juan & Lin, Peng, 2021. "Fundamental diagrams of luggage-laden pedestrians ascending and descending stairs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    6. 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).
    7. Chen, Juan & Luo, Qian & Wang, Qiao & Lo, Jacqueline T.Y. & Ma, Jian, 2024. "Experimental study on individual and crowd movement features around obstacles with different shape and size," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 645(C).
    8. Fu, Zhijian & Li, Tao & Deng, Qiangqiang & Schadschneider, Andreas & Luo, Lin & Ma, Jian, 2021. "Effect of turning curvature on the single-file dynamics of pedestrian flow: An experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    9. Qingyan Ning & Maosheng Li, 2022. "Modeling Pedestrian Detour Behavior By-Passing Conflict Areas," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    10. Banerjee, Arunabha & Das, Sanhita & Maurya, Akhilesh Kumar, 2024. "Behavioural characteristics influencing walking speed of pedestrians over elevated facilities: A case study of India," Transport Policy, Elsevier, vol. 147(C), pages 169-182.
    11. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2019. "When ‘push’ does not come to ‘shove’: Revisiting ‘faster is slower’ in collective egress of human crowds," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 51-69.
    12. Varol Altay, Elif & Alatas, Bilal, 2020. "Intelligent optimization algorithms for the problem of mining numerical association rules," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    13. Zhou, Zi-Xuan & Nakanishi, Wataru & Asakura, Yasuo, 2021. "Data-driven framework for the adaptive exit selection problem in pedestrian flow: Visual information based heuristics approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    14. Zeng, Guang & Ye, Rui & Zhang, Jun & Cao, Shuchao & Song, Weiguo, 2023. "Macroscopic and microscopic movement properties of the fast walking pedestrian flow with single-file experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    15. Ye, Rui & Wang, Qiao & Zeng, Guang & Huang, Zhongyi & Gao, Yan & Fang, Zhiming, 2022. "Trajectory-based analysis on pedestrian merging flow on a stair landing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    16. Kefan Xie & Yu Song & Jia Liu & Benbu Liang & Xiang Liu, 2018. "Stampede Prevention Design of Primary School Buildings in China: A Sustainable Built Environment Perspective," IJERPH, MDPI, vol. 15(7), pages 1-21, July.
    17. Li, Xiao-Yang & Lin, Zhi-Yang & Zhang, Peng & Zhang, Xiao-Ning, 2023. "Reconstruction of density and cost potential field of Eikonal equation: Applications to discrete pedestrian flow models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).
    18. Wang, Xinjian & Liu, Zhengjiang & Wang, Jin & Loughney, Sean & Yang, Zaili & Gao, Xiaowei, 2021. "Experimental study on individual walking speed during emergency evacuation with the influence of ship motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    19. Li, Yongxing & Yang, Xiaoxia & Wang, Zijia & Chen, Liang & Chen, Yanyan, 2022. "Lane-design for mixed pedestrian flow in T-shaped passage," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    20. Altay, Elif Varol & Alatas, Bilal, 2020. "Randomness as source for inspiring solution search methods: Music based approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).

    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:eee:phsmap:v:583:y:2021:i:c:s037843712100563x. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.