Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

The Impact of Various Types of Pre-Event Activities on the Departure Time Choices of Special Events Attendees

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345300,
        author={Yitian  Bao and Yue  Bao and Luo  Luo},
        title={The Impact of Various Types of Pre-Event Activities on the Departure Time Choices of Special Events Attendees},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={urban traffic departure time choice bottleneck model special event pre-event activities},
        doi={10.4108/eai.15-12-2023.2345300}
    }
    
  • Yitian Bao
    Yue Bao
    Luo Luo
    Year: 2024
    The Impact of Various Types of Pre-Event Activities on the Departure Time Choices of Special Events Attendees
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345300
Yitian Bao1, Yue Bao1,*, Luo Luo1
  • 1: Beijing Jiaotong University
*Contact email: yuebao@bjtu.edu.cn

Abstract

Special events, while fulfilling the spiritual needs of citizens, often lead to severe traffic congestion. Providing pre-event activities can effectively alleviate this issue and offer additional utility for special event attendees. However, the types of pre-event activities are diverse, necessitating an examination of the impact of different types of pre-event activities on the time choice of attendee travel. Based on the bottleneck model theory, this paper classifies pre-event activities into two categories: officially organized and spontaneously organized. It constructs utility functions for these two types of pre-event activities and obtains analytical solutions for the travel time choice problem of special event attendees under different types of pre-event activities based on equilibrium theory principles. Through numerical example analysis, we find that although pre-event activities can promote the advancement of peak periods, they cannot guarantee alleviation of traffic congestion. On the contrary, unreasonable pre-event activities may lead to further traffic congestion. This finding enhances our understanding of the role of pre-event activities and provides theoretical support for the formulation of pre-event activity plans before the implementation of special events.