Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Playing with Mobile Phones: Investigation from Pedestrian Flow Experiments

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322709,
        author={Ting  Hui and Cheng-Jie  Jin and Zhi-Yu  Wang and Dawei  Li},
        title={Playing with Mobile Phones: Investigation from Pedestrian Flow Experiments},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={pedestrian flow; pedestrian behavior; experiment; playing with mobile phones},
        doi={10.4108/eai.17-6-2022.2322709}
    }
    
  • Ting Hui
    Cheng-Jie Jin
    Zhi-Yu Wang
    Dawei Li
    Year: 2022
    Playing with Mobile Phones: Investigation from Pedestrian Flow Experiments
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322709
Ting Hui1, Cheng-Jie Jin1,*, Zhi-Yu Wang1, Dawei Li1
  • 1: Southeast University Nanjing
*Contact email: yitaikongtiao@163.com

Abstract

In order to investigate the pedestrian behaviors, four large-scale pedestrian flow experiments were organized from 2016 to 2019, and different corridor widths of ring road were adopted. During the uni-directional experiments, it was observed that some pedestrians played with mobile phones (PPM). And then, some statistical results under high densities are collected, and the average proportions of PPM (AP-PPM) are calculated. It is found that in most runs, the numbers of PPM keep nearly constant and the AP-PPMs gradually decrease with the growth of densities. At the same time, the AP-PPMs increase with the growth of flow rates, which implies that AP-PPM could be considered as one important indicator for the states of pedestrian flow. This work can help to build the relationship between microscopic behaviors and macroscopic dynamics in the field of pedestrian flow.