Villa Zapata, Lina Marcela

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    A rebalancing methodology for a dockless scooter rental service
    (2021-11-29) Villa Zapata, Lina Marcela; Artiles-León, Noel; College of Engineering; Rodríguez-Román, Daniel; Ferrer-Alameda, Mercedes; Vásquez-Urbano, Pedro; Department of Industrial Engineering; Rodríguez-Martínez, Manuel
    A comprehensive methodology is proposed to rebalance a scooter rental service to avoid shortages. This mode of transportation has become an environmentally friendly alternative for big and small cities around the world. However, because there are no docks that limit the number of scooters in each zone, large accumulations may occur at certain times of the day. Therefore, the goal is to use data analysis, statistics, and optimization tools to decide how many scooters to move from which zone to which zone before a shortage is presented. A scooter rental service in Mayagüez, Puerto Rico was used as a case study to develop the proposed methodology. First, the initial GPS locations were grouped to create virtual stations that would serve to define the scooters' drop-off locations in rebalancing operation. Second, a prediction model was formulated based on factors that affect the demand. Finally, a multi-objective optimization problem was developed to minimize the travel distance in the rebalance operation and the deficit related to the system capacity. The evaluation of the model was made based on historical data and the deliverable is the number of scooters that must be in each zone considering the season, day of the week, and time of day.