hrcak mascot   Srce   HID

Izvorni znanstveni članak
https://doi.org/10.2478/bsrj-2018-0021

Location and Coverage Analysis of Bike-Sharing Stations in University Campus

Suleyman Mete   ORCID icon orcid.org/0000-0001-7631-5584 ; Department of Industrial Engineering, Munzur University, Tunceli, Turkey
Zeynel Abidin Cil ; Department of Industrial Engineering, Izmir Democracy University, Izmir, Turkey
Eren Özceylan ; Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey

Puni tekst: engleski, pdf (1 MB) str. 80-95 preuzimanja: 115* citiraj
APA 6th Edition
Mete, S., Cil, Z.A. i Özceylan, E. (2018). Location and Coverage Analysis of Bike-Sharing Stations in University Campus. Business Systems Research, 9 (2), 80-95. https://doi.org/10.2478/bsrj-2018-0021
MLA 8th Edition
Mete, Suleyman, et al. "Location and Coverage Analysis of Bike-Sharing Stations in University Campus." Business Systems Research, vol. 9, br. 2, 2018, str. 80-95. https://doi.org/10.2478/bsrj-2018-0021. Citirano 23.07.2019.
Chicago 17th Edition
Mete, Suleyman, Zeynel Abidin Cil i Eren Özceylan. "Location and Coverage Analysis of Bike-Sharing Stations in University Campus." Business Systems Research 9, br. 2 (2018): 80-95. https://doi.org/10.2478/bsrj-2018-0021
Harvard
Mete, S., Cil, Z.A., i Özceylan, E. (2018). 'Location and Coverage Analysis of Bike-Sharing Stations in University Campus', Business Systems Research, 9(2), str. 80-95. https://doi.org/10.2478/bsrj-2018-0021
Vancouver
Mete S, Cil ZA, Özceylan E. Location and Coverage Analysis of Bike-Sharing Stations in University Campus. Business Systems Research [Internet]. 2018 [pristupljeno 23.07.2019.];9(2):80-95. https://doi.org/10.2478/bsrj-2018-0021
IEEE
S. Mete, Z.A. Cil i E. Özceylan, "Location and Coverage Analysis of Bike-Sharing Stations in University Campus", Business Systems Research, vol.9, br. 2, str. 80-95, 2018. [Online]. https://doi.org/10.2478/bsrj-2018-0021

Sažetak
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.

Ključne riječi
Bike station; location-allocation; maximal covering; p-center; p-median; set covering; undesirable facility location

Hrčak ID: 203484

URI
https://hrcak.srce.hr/203484

Posjeta: 177 *