Nakhyeon CHOI, Urban Planning and Transportation Egineering, Kyonggi University, Korea (Republic of)
Chia-Lin CHEN, School of Envieonmental Sciences, University of Liverpool, United Kingdom
Junghwa KIM, Urban Planning and Transportation Egineering, Kyonggi University, Korea (Republic of)
Recently, Micromobility have entered cities on a large scale and had had positive outcomes for transport systems and this can be paired with other mobility modes(especially public transportation), thus making them a handy solution for traveling the first & last miles from home to station(BGC, 2019). However, a failure to manage such dockless service can result in cluttering(e-scooter parked on sideways or not parked properly), infrastructure deficiencies, and safety challenges as has been observed in cities(Gössling, 2020). Furthermore, cluttering on rainy days bring out e-scooter corrosion can drain battery power and shorten its lifespan. We consider “Charging dock” to solution this problem. This solution has to be accompanied optimization to prevent introduction charging dock from damaging the urban aesthetics and wasting budget. Therefore, the aim of this paper identifies where shared micomobility station(charging dock) should be installed with an optimization approach using empirical data. We use MCLP(Maximum coverage location problem) model for optimization and its objective is to maximize the demand covered(Church, R., & ReVelle, C., 1974). To improve MCLP model suitable for micromobility, we decide to conduct a survey on perception of micromobility for Seongnam citizens in Korea. In this study, the city was divided by 100 meters grid to generate unit for candidate and join each 100 meters grid cell to the big data(micromobility user data). We run the improved MCLP model on extracted candidate from big data. Finally, we can get optimal number of stations with maximum coverage efficiency. This study has some important findings that show where optimized locations should be for micromobility. We expect to promote convenient use of micromobility with dockless by being able to get an optimal charging location suitable for each city with introduction of our methodology.
Mots clés : Micromobility|E-scooter|E-mobility|Charging dock|Station
A105112JK