| Summary: | 碩士 === 國立成功大學 === 都市計劃學系 === 106 === The bike-sharing systems(BSS) provide users with the ability to pick up and return bikes quickly from docking stations, and also be used to integrate different transportation systems in the city. BSS not only provides more convenient services, it also records rental information in the system. There has been some literature to explore the travel behavior and the factors that affect the users’ behavior of BSS.
After inducting the rule of travel behavior of users based on operation data of BSS in Kaohsiung city (C-bike), this study establishes the simulation model with agent-based model. After simulating 10 days’ data, the results show that the simulation model can properly reflect the actual users' behavior. The difference in total amount in simulation results and actual situation is only 1.5%. In the simulation results, 92% and 70% of the docking stations are comparable to the actual pickup and return amount. The pattern of pickups and returns are also high correlated with actual situation.
The simulation model built in this study can help planners to observe and understand the distribution and activity of public bicycle. Planners can also test different policy scenarios, and record and export the simulation records for further analysis and comparison.
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