Resumen
Sharing economy, including car-sharing and ride-sharing, will change our society and transport in the near future. To effectively introduce ride-sharing service into our society, we need to determine route and schedule of vehicles based on users? activity. We also need to understand how users? activity patterns affect the performance of this sharing service, and we have to evaluate social benefit of introducing ride-sharing service. The objective of this study is to investigate how the ride-sharing service would be successfully operated in the above context. The optimal vehicle routing and scheduling problem which satisfies all the users? activities is formulated as an integer linear programming problem. By using the proposed model, numerical experiments are conducted with different types of activity patterns. Then, efficiency of the optimized ride-sharing service is examined by comparing its performance with those of car-sharing service and fully private-owned car transport. The results show spatial and temporal distribution of users? activity patterns will have great effects on the performance of ride-sharing services.