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

Open access

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.

1. Ali-Askari, E., Bashiri, M., Tavakkoli-Moghaddam, R. (2017), “A capacitated bike sharing location-allocation problem under demand uncertainty using sample average approximation: A greedy genetic-particle swarm optimization algorithm”, Scientia Iranica Transactions E: Industrial Engineering, Vol. 24, No. 5, pp. 2567-2580.

2. Beasley, J. E. (1987), “An algorithm for set covering problem”, European Journal of Operational Research, Vol. 31, No. 1, pp. 85-93.

3. Broach, J., Dill, J., Gliebe, J. (2012), “Where do cyclists ride? A route choice model developed with revealed preference GPS data”, Transportation Research Part A: Policy and Practice, Vol. 46, No. 10, pp. 1730-1740.

4. Cohen, A., Simons, D., Martignoni, M., Olson, J. (2014), “The bike-share planning guide”, available at: https://www.itdp.org/wp-content/uploads/2014/07/ITDP_Bike_Share_Planning_Guide.pdf (23 April 2018).

5. Croci, E., Rossi, D. (2014), “Optimizing the position of bike sharing stations. The Milan case”, Bocconi working paper series, No. 68, Bocconi University, Milan.

6. Çetinkaya, C. (2017), “Bike sharing station site selection for Gaziantep”, Sigma Journal of Engineering and Natural Sciences, Vol. 35, No. 3, pp. 535-543.

7. Daskin, M. S. (2008), “What you should know about location modelling”, Naval Research Logistics, Vol. 55, No. 4, pp. 283-294.

8. Dobešová Z., Hýbner R. (2015), “Optimal Placement of the Bike Rental Stations and Their Capacities in Olomouc”, in: Ivan I., Benenson I., Jiang B., Horák J., Haworth J., Inspektor T. (Eds.), Geoinformatics for Intelligent Transportation, Lecture Notes in Geoinformation and Cartography, Springer, Cham, pp. 51-60.

9. Erkut, E., Neuman, S. (1989), “Analytical models for locating undesirable facilities”, European Journal of Operational Research, Vol. 40, No. 3, pp. 275-291.

10. Frade, I., Ribeiro, A. (2015), “Bike-sharing stations: A maximal covering location approach”, Transportation Research Part A: Policy and Practice, Vol. 82, pp. 216-227.

11. García-Palomares, J. C., Gutiérrez, J., Latorre, M., (2012), “Optimizing the location of stations in bike-sharing programs: A GIS approach”, Applied Geography, Vol. 35, No. 1-2, pp. 235-246.

12. Ghandehari, M., Pouyandeh, V. H., Javadi, M. H. M. (2013), “Locating of bicycle stations in the city of Isfahan using mathematical programming and multi-criteria decision making techniques”, International Journal of Academic Research in Accounting, Finance and Management Sciences, Vol. 3, No. 4, pp. 18-26.

13. Lin, J. R., Yang, T. H., (2011), “Strategic design of public bicycle sharing systems with service level constraints”, Transportation Research Part E: Logistics and Transportation Review, Vol. 47, No. 2, pp. 284-294.

14. Liu, J. et al. (2015), “Station site optimization in bike sharing systems”, 2015 IEEE International Conference on Data Mining, IEEE, Atlantic City, USA, pp. 883-888.

15. Martens, K. (2007), “Promoting bike-and-ride: the Dutch experience”, Transportation Research Part A: Policy and Practice, Vol. 41, No. 4, pp. 326-338.

16. Martinez, L. M., Caetano, L., Eiró, T., Cruz, F. (2012), “An optimization algorithm to establish the location of stations of a mixed fleet biking system: An application to the City of Lisbon”, Procedia - Social and Behavioral Sciences, Vol. 54, pp. 513-524.

17. Mattson, J., Godavarthy, R. (2017), “Bike share in Fargo, North Dakota: Keys to success and factors affecting ridership”, Sustainable Cities and Society, Vol. 34, pp. 174-182.

18. Narula, S. C. (1986), “Mini-sum hierarchical location-allocation problems on a network: A survey”, Annals of Operations Research, Vol. 6, No. 8, pp. 255-272.

19. Özceylan, E., Mete, S., Çil, Z. A. (2017a), “Optimizing the location-allocation problem of bike sharing stations: A case study in Gaziantep University campus”, in Proceedings of 14th International Symposium on Operations Research of Slovenia, pp. 141-146.

20. Özceylan, E., Uslu, A., Erbaş, M., Çetinkaya, C., İşleyen, S. K. (2017b), “Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep”, An International Journal of Optimization and Control: Theories & Applications, Vol. 7, No. 1, pp. 117-129.

21. Rodríguez, J. J. S., García, C. G., Pérez, J. M., Casermeiro, E. M. (2006), “A general model for the undesirable single facility location problem”, Operations Research Letters, Vol. 34, No. 4, pp. 427-436.

22. Romero, J., Ibeas, A., Moura, J. (2012), “A simulation-optimization approach to design efficient systems of bike-sharing”, Procedia - Social and Behavioral Sciences, Vol. 54, pp. 646-655.

23. Sallis, J. F., Frank, L. D., Saelens, B. E., Kraft, M. K. (2004), “Active transportation and physical activity: opportunities for collaboration on transportation and public health research”, Transportation Research Part A: Policy and Practice, Vol. 38, No. 4, pp. 249-268.

24. Teixeira, J. C., Antunes, A. P. (2008), “A hierarchical location model for public facility planning”, European Journal of Operational Research, Vol. 185, No. 1, pp. 92-104.

25. Wang, J., Tsai, C. H., Lin, P. C. (2016), “Applying spatial-temporal analysis and retail location theory to pubic bikes site selection in Taipei”, Transportation Research Part A: Policy and Practice, Vol. 94, pp. 45-61.

Business Systems Research Journal

The Journal of Society for Advancing Innovation and Research in Economy

Journal Information

Metrics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 294 294 45
PDF Downloads 244 244 39