Abstract
The rapid development of bike sharing has posed some challenges to the traffic management on campus. The bike sharing on campus has problems such as messy parking, and some buildings in the peak hours have no bikes to borrow. Thus, alternative parking spots are proposed based on the layout principle of parking spots for bicycles. An optimization model of the layout of campus bike-sharing parking spots with travel time and construction cost as the optimization goal is established, and the branch and bound algorithm is used to solve the model. Finally, the study analysis is carried out by optimizing the layout of the bike-sharing parking spot of Nanjing University of Science and Technology. The results show that, after optimizing the layout of parking spots, the average travel time of users is reduced by 6.0%, and the total construction cost is reduced by 27.3%. While being convenient for campus bike-sharing users, it also provides scientific decision-making support for the campus traffic management.
Highlights
Bike sharing helps to alleviate urban traffic pressure and generates tremendous energy in constructing a green transportation trip system
Bike sharing helps to alleviate urban traffic pressure in building a green energy traffic system and has a unique advantage in solving the “last kilometer” problem [2, 3]. e dockless bike sharing has got rid of the limitation of fixed parking piles and has the characteristics of small traffic capacity, flexible operation, good accessibility, and less investment [4], which has gradually covered most of the first- and second-tier cities in China, as well as Singapore, Washington, and other overseas cities
In view of the optimization of the layout of shared bikes parking spots in scenic areas, Guo et al [11] considered the distribution of subway stations and bus stations around the scenic area, by proposing an optimization model based on clustering and greedy algorithms, and solved the problem with an optimization coverage rate Journal of Advanced Transportation of 89.2%
Summary
Bike sharing helps to alleviate urban traffic pressure and generates tremendous energy in constructing a green transportation trip system. It has unique advantages in solving the “last mile” problem [1]. Some scholars consider maximum coverage to optimize the shared bike system to maximize the demand covered by the shared bike parking spot or meet the limits of available budgets [6]. In view of the optimization of the layout of shared bikes parking spots in scenic areas, Guo et al [11] considered the distribution of subway stations and bus stations around the scenic area, by proposing an optimization model based on clustering and greedy algorithms, and solved the problem with an optimization coverage rate. The layout plan of the bike-sharing parking spot on campus is designed with specific cases to verify the rationality and feasibility of the model
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