Optimal Design and Operation of Mobility Sharing Services
Ride share services and other efforts are being actively pursued in recent years to achieve next-generation transportation services optimized for user needs through recent developments in automatic cars, AI, big data analysis and other technology. Among these, regional last mile mobility is sharing business related to automatic cars that supports short-distance travel, helping ensure transportation and reduce its cost for people living in regions with an aging population or lack of public transportation access, so its use is expected to proliferate.
This research analyzes operation efficiency and possibility of generating new business in order to expand this sharing business. For example, in order to increase satisfaction of regional last mile mobility users, pickup and delivery is needed after use, but according to analysis based on the optimization model, we learned that businesses tend to avoid using staff for pickup and delivery to increase profitability. From these results, we realized that if pickup and delivery could be performed through automatic driving rather than by staff, we could increase both user satisfaction and business profitability. In the future, analysis is planned based on a to-be-constructed optimization model that can handle probable fluctuations in demand data.
Professor, Faculty of Engineering, Information and Systems