| Title |
Optimizing Locations for Micro-mobility Parking Area based on User Big-data Analysis |
| Authors |
최낙현(Choi, Nakhyeon) ; 김정화(Kim, Junghwa) |
| DOI |
https://doi.org/10.12652/Ksce.2023.43.2.0195 |
| Keywords |
마이크로 모빌리티; 전동킥보드; 비고정형; 고정형; 주차존; MCLP; 이용자 빅데이터 Micro-mobility; E-scooter; Dockless; Station; Parking zone; MCLP; User big-data |
| Abstract |
Most of the Micro-mobility parking in Korea use Dockless system. However, Dockless can result in cluttering, infrastructure deficiencies, and safety challenges as has been observed in cities. It is necessary to introduce a Station Parking system in order to solve the drawbacks of the dockless, but the introduction without engineering has low accessibility and induces side effects. In this study, to decide optimal location about number of the Micro-mobility Station, we has been applied the MCLP model about the coverage range, usage demand, usage time in order to classify the type of Micro-mobility Station. For the MCLP, User Date input to reflect realistic demand in Bundang new town, Korea. The result show that the optimal number of facilities in 400 m was 146, and the coverage ratio was 99.83 %, which was most suitable coverage for solving the parking problem. We also classified the demand into 4 levels and the usage time into 3 levels, and by crossing them, we were able to classify the Parking lot types into 12 types. It is possible to propose strategic policies in the installation and operation of Micro-mobility Parking System. |