Research on the allocation of urban shared bicycle parking spots

To surmount the disorganization and scarcity of shared bicycle parking, it is imperative to devise a judicious allocation and blueprint of urban shared bike storage locations. The present study has constructed a mathematical model aimed at minimizing the total cost of shared bicycle enterprises, and designed a genetic algorithm to discern the optimal deployment scheme for shared bike parking points and the respective quantity allocation for each such site. To validate the viability of the model, this paper has selected the Tiexi Square in Shenyang as a case study. A total of 25 alternative locations were selected within the case region, following the established selection criteria. The optimal parking location was determined through the genetic algorithm designed for the problem, utilizing data from the 15 demand points received, yielding the most favorable position for parking.