gardenia-PG/Factors-Affecting-the-Number-of-Rentals-in-the-MEVO-Metropolitan-Bicycle-System: Students Project Factors Affecting the Number of Rentals of MEVO

Factors Affecting the Number of Rentals in the MEVO Metropolitan Bicycle System by Olga Paszkiewicz and Aleksandra Susmarska Abstract The aim of this paper is to help in the development of the MEVO bike-sharing system by analysing user behaviour and identifying factors influencing station usage, as well as by proposing optimal locations for new stations. We have analysed the available data using Python to examine station flows, temporal trends and the influence of chosen factors on station popularity. Based on this analysis we studied the impact of nearby infrastructure on the popularity of stations and chose 336 potential new MEVO station locations, increasing the availability of MEVO in residential areas by 13.29%. The complicated nature of the problem and outdated data sources limit the accuracy of the results. However, it can still serve as a framework for more detailed studies in the future and support strategic system expansion. Keywords: bike-sharing system, MEVO, urban mobility, bicycle rentals, transport, spatial analysis, station location optimisation, electric bicycles