In recent years, the need for bicycles as a means of transportation that does not emit carbon dioxide has increased. In addition, shared bicycles are being introduced all over the world as a means of urban public transportation. However, the concentration of bicycles at certain cycle ports requires a relocation of bicycles. Since this is putting pressure on the operating business, a new method to get unbalanced is needed to replace this method. Therefore, this study aims to smooth ports without relying on trucks and other transportation, and to clarify the relationship between the number of bicycles initially placed and the total waiting time through simulation analysis.
Simulation of queues was constructed using data of a social experiment conducted by Nerima Ward, Tokyo, in October 2018. The data includes the usage results of share bike system on five weekdays and two holidays, for a total of seven days.
Using the simulation, we calculated how large the total waiting time varied by changing the number of bicycles initially placed at the port and the total number of bicycles, and clarified the relationship. I moved the number of initially placed bicycles from the low-demand port to the high-demand port in front of the station by one unit, but found no decrease in total waiting time.
Next, the simulation was conducted by increasing the number of bicycles at the nine high-demand ports one each. At this time, the total waiting time for all ports decreased.
Simulation experiments showed that changing the initial number of bicycles in accordance with demand did not lead to a decrease in waiting time for the entire system. One reason for this is that although the waiting time at high-demand ports decreased, the waiting time at low-demand ports exceeded the decrease. It became clear that measures to increase the total number of bicycles must be taken to reduce wait times.

sharebike;simulation