The concept and impact analysis of a flexible mobility on demand system |
| |
Affiliation: | 1. Massachusetts Institute of Technology, United States;2. Fujitsu Laboratories, Ltd, Japan;1. École Polytechnique Fédérale de Lausanne (EPFL), School of Architecture, Civil and Environmental Engineering (ENAC), Transport and Mobility Laboratory (TRANSP-OR), Lausanne, Switzerland;2. Massachusetts Institute of Technology (MIT), Department of Civil and Environmental Engineering, Cambridge, MA, USA;1. Department of Transport and Planning, Delft University of Technology, 2600 AA Delft, The Netherlands;2. Transdev, Stationsplein 13, 1211 EX Hilversum, The Netherlands;3. Department of Transport and Planning, Delft University of Technology, P.O. Box 5048, 2600 AA Delft, The Netherlands;4. Department of Applied Mathematics, Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands;1. Econometric Department, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR Rotterdam, Netherlands;2. School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland;3. Faculty of Technology, Policy, and Management, Delft University of Technology, Jaffalaan 5, 2628 BX Delft, Netherlands |
| |
Abstract: | This paper introduces an innovative transportation concept called Flexible Mobility on Demand (FMOD), which provides personalized services to passengers. FMOD is a demand responsive system in which a list of travel options is provided in real-time to each passenger request. The system provides passengers with flexibility to choose from a menu that is optimized in an assortment optimization framework. For operators, there is flexibility in terms of vehicle allocation to different service types: taxi, shared-taxi and mini-bus. The allocation of the available fleet to these three services is carried out dynamically so that vehicles can change roles during the day. The FMOD system is built based on a choice model and consumer surplus is taken into account in order to improve passenger satisfaction. Furthermore, profits of the operators are expected to increase since the system adapts to changing demand patterns. In this paper, we introduce the concept of FMOD and present preliminary simulation results. It is shown that the dynamic allocation of the vehicles to different services provides significant benefits over static allocation. Furthermore, it is observed that the trade-off between consumer surplus and operator’s profit is critical. The optimization model is adapted in order to take into account this trade-off by controlling the level of passenger satisfaction. It is shown that with such control mechanisms FMOD provides improved results in terms of both profit and consumer surplus. |
| |
Keywords: | Demand responsive transit Flexible transportation services Personalized transportation services Shared-taxi Shared-ride Mobility on demand |
本文献已被 ScienceDirect 等数据库收录! |
|