Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China

Research Article

Research on Influencing Factors of Mobile Phone Use Behavior During Electric Bicycle Riding

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2328030,
        author={Shaopeng  Luo and Tao  Wang and Xiaoyin  Zhao and Haoxing  Chang},
        title={Research on Influencing Factors of Mobile Phone Use Behavior During Electric Bicycle Riding},
        proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICICA},
        year={2023},
        month={3},
        keywords={mobile phone; risky riding behavior; extended theory of planned behavior; structural equation model},
        doi={10.4108/eai.2-12-2022.2328030}
    }
    
  • Shaopeng Luo
    Tao Wang
    Xiaoyin Zhao
    Haoxing Chang
    Year: 2023
    Research on Influencing Factors of Mobile Phone Use Behavior During Electric Bicycle Riding
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2328030
Shaopeng Luo1, Tao Wang1,*, Xiaoyin Zhao1, Haoxing Chang1
  • 1: Guilin University of Electronic Technology
*Contact email: wangtao@guet.edu.cn

Abstract

In order to analyze the influencing factors of cyclists' mobile phone use behavior during e-bike riding, this paper uses the theory of planned behavior as a framework and adds two extended variables, risk perception and riding habits, to construct an extended theory of planned behavior model. By distributing questionnaires, 387 valid questionnaires were finally obtained, and structural equation modeling was used to analyze the complex relationships among the variables and finally analyze the main factors influencing cyclists' mobile phone use behavior during cycling. The results of the study showed that the extended theory of planned behavior can well explain the mobile phone use behavior during e-bike riding, in which risk perception has the greatest influence on the total mobile phone use behavior during riding, followed by behavioral intention; subjective norm has the least influence on the mobile phone use behavior. The results of the study can help to understand mobile phone use behavior during e-bike riding and the mechanism of influence, and provide a theoretical basis for further research on distracted riding behavior and distracted riding interventions.