Optimizing the Location of Electric Moped-Scooter Sharing Hubs: A GPS Trajectory Approach
Topics:
Keywords: Network design, Optimization, Shared mobility, Max cover model, Location modeling
Abstract Type: Paper Abstract
Authors:
Hung-Chi Liu Arizona State University
Daoqin Tong Arizona State University
Abstract
The Electric Moped-Scooter Sharing System (EMSS) has emerged as an innovative urban transportation solution due to its high accessibility. Allowing users to borrow and return vehicles along the roadside easily is advantageous, but it presents challenges for system operators in maintaining scooter balance. Additionally, establishing battery swapping stations is problematic, particularly in encouraging spontaneous battery replacements by users. To address these issues, this study introduces the concept of an EMSS Hub, which incentivizes users to park scooters and exchange batteries within designated hubs. A novel spatial optimization model is proposed, considering usage demand and users' willingness to take detours, to determine optimal EMSS Hub locations. Finally, the model is tested using real GPS trajectory data from Taipei City, Taiwan, showcasing its potential effectiveness in practical applications. The results highlight that the proposed model and solution algorithm offer valuable insights for strategically locating EMSS Hubs, eventually increasing the system's efficiency.
Optimizing the Location of Electric Moped-Scooter Sharing Hubs: A GPS Trajectory Approach
Category
Paper Abstract
Description
Submitted By:
Hung-Chi Liu
hliu249@asu.edu
This abstract is part of a session: GIS and Public Transportation