Abstract
Free-floating car sharing systems provide a convenient and flexible mode of transportation, enabling the efficient utilization of vehicles and space within cities. To ensure a high quality of service and customer satisfaction, it is crucial that the system’s operational area is well-covered by vehicles, allowing users to quickly locate a nearby car when needed. However, servicing a large area can be expensive. Therefore, optimizing the operational area is essential to achieve the best possible coverage with the given fleet. A case study of a Viennese electric car sharing system is presented, focusing on the optimization of future expansion strategies. The study utilizes a demand forecast derived from a national mobility survey and taxi trip data, employing a mixed integer linear programming model to plan the operational area. The objective is to effectively cover the expected demand. The results demonstrate that the model is highly efficient and flexible in adapting to different requirements.
| Original language | English |
|---|---|
| Article number | 8408 |
| Pages (from-to) | 1-19 |
| Number of pages | 19 |
| Journal | Applied Sciences |
| Volume | 13 |
| Issue number | 14 |
| DOIs | |
| Publication status | Published - Jan 2023 |
Research Field
- Former Research Field - Integrated Transport Optimisation
Keywords
- car sharing
- location analysis
- integer linear programming
