Abstract
Abstract Background: Bike-sharing programmes have become popular in a large number of cities in order to facilitate bicycle use. Determining the location of bike sharing stations is vital to success of these programmes. Objectives: In this paper, a case study is applied to the Gaziantep University campus in order to find possible locations of the stations for users (students). The purpose is to minimize the total walking distance. Methods/Approach: Set and maximal covering mathematical models are considered to decide on coverage capability of determined 20 demand points and 20 potential bike stations. Then, the mathematical models of P-center and P-median are used to build possible stations and to allocate demand points to the opened stations. Finally, an undesirable facility location model is used to find the bike stations, which have the maximum distance from demand nodes, and to eliminate them. Results: In computational results, it is clearly seen that the proposed approaches set the potential bike station covering all demand points. They also provide different solutions for the campus planners. Conclusions: The methodology outlined in this study can provide university administrators with a useful insight into locations of stations, and in this way, it contributes significantly to future planning of bike-sharing systems.
Highlights
Public bike-sharing system popularity has significantly increased in recent years
We focused on site selection of bike stations in this study
Five different location-allocation models called as set covering, maximum covering, P-median, P-center and undesirable facility location models are implemented to the location problem of bike sharing stations in Gaziantep University campus
Summary
Public bike-sharing system popularity has significantly increased in recent years. Bicycle sharing services can be useful when bicycles are offered for use short period and single tours. Set and maximal covering, P-median, Pcenter and undesirable facility location models which are well-known and common tools are applied to locate and allocate bike stations in Gaziantep University campus. The formulation of the undesirable facility location model is as follows (Erkut et al, 1989): Decision variable yk = {10,,iof tphoetrewntisiael bike station k is opened (∀k ∈ K)
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