In recent years, the use of personal mobility devices, particularly electric scooters, has become increasingly popular, especially for short-distance travel commonly referred to as the “last mile.” This growing trend has led to complex interactions between scooter riders and pedestrians, as pedestrians often exhibit unpredictable behavior, such as remaining stationary or walking at varying speeds, which increases the risk of collisions with fast-moving scooters. These interactions can lead to disturbances in pedestrian flow, irritation, or even accidents, particularly in environments lacking effective regulation or infrastructure. This study presents an advanced prediction model for pedestrian movement and the dynamics between pedestrians and electric scooters. The model is an enhanced version of the Social Force Model, incorporating the distinct movement characteristics of electric scooters, such as high speed and rapid acceleration, especially on curved roads. Simulation results showed that in low-density pedestrian environments, personal mobility devices can overtake pedestrians without significant disruptions, whereas in high-density areas, scooters and Segways face challenges overtaking pedestrians due to congestion. This study also highlights that pedestrian density plays a crucial role in the movement dynamics of electric scooters, with congestion reducing their ability to navigate efficiently. The results provide valuable insights into pedestrian safety risks, such as collisions and congestion, and offer a deeper understanding of mobility dynamics in urban environments. The findings emphasize the need for improved infrastructure and regulation to ensure safe and efficient coexistence of pedestrians and personal mobility devices.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Integrating Pedestrian and Scooter Traffic: A Model for Safe Urban Mobility


    Additional title:

    Communic.Comp.Inf.Science



    Conference:

    International Conference on Optimization and Data Science in Industrial Engineering ; 2024 ; Istanbul, Türkiye November 07, 2024 - November 08, 2024



    Publication date :

    2025-08-06


    Size :

    20 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Mobility scooter

    DURRETT RICHARD LEO | European Patent Office | 2016

    Free access

    Safe electric scooter

    IM JAE WON / JEON SEO HYUN / LEE HEE HO | European Patent Office | 2024

    Free access

    ELECTRIC MOBILITY SCOOTER

    HIRATA YOSHIHIRO / UCHINO TSUYOSHI | European Patent Office | 2021

    Free access

    ENCLOSED MOBILITY SCOOTER

    ESPOSITO CHARLES | European Patent Office | 2025

    Free access

    FOLDABLE MOBILITY SCOOTER

    TANG SHUGUO / ZHU JINGGUO / ZHANG XUAN et al. | European Patent Office | 2024

    Free access