BIKE SHARING STATION SITE SELECTION FOR GAZIANTEP

Year 2017, Volume: 35 Issue: 3, 535 - 543, 01.09.2017

Cihan Çetinkaya

Abstract

Bike sharing is a traffic precaution service that bicycles are available for shared use to individuals for a short term. It is vital for this program to select the infrastructures scientifically. This study aims to determine the location of bike sharing station in Gaziantep by using fuzzy AHP and TOPSIS. Thus, firstly selection criteria are determined by the literature and municipal officials for siting bike stations. Then the criteria weights are calculated by using Fuzzy AHP to cope with uncertainty. Lastly, potential station sites are ranked using TOPSIS. The generally applicable model provides policy makers with the ability to decide on bike sharing siting.

Keywords

Bike sharing station siting, bike sharing, MCDA, Fuzzy AHP, TOPSIS

References

• [1] Lin J.R., Yang T.H., Chang Y.C., 2013, A hub location inventory model for bicycle sharing system design: Formulation and solution, Computers & Industrial Engineering, 65, pp. 77–86.
• [2] Romero C., 2008, Spicycles in Barcelona, PowerPoint Presentation by City of Barcelona at the Spicycles Conference, Bucharest, Romania, December 2008. http://spicycles.velo.info/Portals/0/FinalReports/Barcelona_Final_Report.ppt.
• [3] Nadal L., 2007, Bike sharing sweeps Paris off its feet, Sustainable Transport, Issue 19, pp.8–12.
• [4] Bonnette B., 2007, The implementation of a Public-Use Bicycle Program in Philadelphia, Urban Studies Program, Senior Seminar Papers, Pennsylvania University.
• [5] Noland R. B., Ishaque M. M., 2006, Smart bicycles in an urban area: Evaluation of a pilot scheme in London, Journal of Public Transportation, 9(5), 71–95.
• [6] The Bike-sharing World Map, www.bikesharingworld.com, Access date: 28.07. 2017.
• [7] TSI, 2015, Turkish Statistical Institute, Gaziantep Population http://www.nufusu.com/il/gaziantep-nufusu, Access date: 28.07.2017
• [8] Fishman E., Washington S., Haworth N., 2013, Bike Share: A Synthesis of the Literature, Transport Reviews, 33:2, pp. 148–165.
• [9] Gutierrez J.G., Torres J.R., Iniestra J.G., 2014, Dimensioning of a Bike Sharing System (BSS): A study case in Nezahualcoyotl, Mexico, XVIII Congreso Panamericano de Ingeniería de Tránsito, Transporte y Logística (PANAM 2014), pp. 253–262.
• [10] Leigh, C., Peterson, J., Chandra S., 2009, Campus Bicycle-parking facility site selection: exemplifying provision of an interactive facility map, Surveying & Spatial Sciences Institute, pp. 389-398. ISBN: 978-0-9581366-8-6.
• [11] Lin J.R., Yang T.H., 2011, Strategic design of public bicycle sharing systems with service level constraints, Transportation Research Part E, 47, pp. 284–294.
• [12] Dell'Olio L., Ibeas A., Moura J.L, 2011, Implementing bike-sharing systems, Proceedings of the Institution of Civil Engineers - Municipal Engineer, Volume 164 Issue 2, pp. 89–101.
• [13] Palomares J.C.G., Gutiérrez J., Latorre M., 2012, Optimizing the location of stations in bike-sharing programs: A GIS approach, Applied Geography, 35, pp. 235–246.
• [14] Larsen J., Patterson Z., EI-Geneidy, A., 2013, Build It. But Where? Use of Geographic Information Systems in Identifying Optimal Location for New Cycling Infrastructure, International Journal of Sustainable Transportation, Volume 7, Issue 4, pp. 299–317.
• [15] Croci E., Rossi D., 2014, Optimizing the position of bike sharing stations, The Milan case, CERE Working Paper, 68, http://dx.doi.org/10.2139/ssrn.2461179.
• [16] Liu J., Li Q., Qu M., Chen W., Yang J., Xiong H., Zhong H., Fu Y., 2015, Station Site Optimization in Bike Sharing Systems, IEEE International Conference on Data Mining, pp. 883–888.
• [17] Frade I., Ribeiro A., 2015, Bike-sharing stations: A maximal covering location approach, Transportation Research Part A, 82, pp. 216–227.
• [18] 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, 94, pp. 45–61.
• [19] The NACTO Bike Share Station Siting Guide, http://nacto.org/wp-content/uploads/2016/04/NACTO-Bike-Share-Siting-Guide_FINAL.pdf Access date: 28.07.2017
• [20] Pucher J., Garrard J., Greaves S., 2011, Cycling down under: a comparative analysis of bicycling trends and policies in Sydney and Melbourne, Journal of Transport Geography, 19 pp. 332–345.
• [21] Pucher J., Dill J., Handy S., 2010a, Infrastructure, programs, and policies to increase bicycling: An international review, Preventive Medicine, 50, pp. 106–S125.
• [22] Pucher J., Buehler R., Seinen M., 2010b, Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies, Transportation Research Part A, 45, pp. 451–475.
• [23] Kim D.J., Shin H.C., Im H., Park J., 2012, Factors Influencing Travel Behaviors in Bikesharing, 91th Annual Meeting of the Transportation Research Board and Publication in the Transportation Research Record Series (Revised paper).
• [24] Murphy E., Usher J., 2015, The Role of Bicycle-sharing in the City: Analysis of the Irish Experience, International Journal of Sustainable Transportation, 9:2, pp. 116–125.
• [25] Kabak, M., Burmaoğlu, S., Kazançoğlu, Y., 2012, A fuzzy hybrid MCDM approach for professional selection, Expert Systems with Applications, 39: 3516–3525.
• [26] Raut, R.D., 2011, Evaluation of supplier selection criteria by combination of AHP and fuzzy DEMATEL method, International Journal of Business Innovation and Research, 5 (4): 359–392.
• [27] Çetinkaya, C., Özceylan, E., Erbaş, M., Kabak, M., 2016, GIS-based Fuzzy MCDA Approach for Siting Refugee Camp: A Case Study for Southeastern Turkey, International Journal of Disaster Risk Reduction, 18: 218–231.
• [28] Eraslan, S., Çağman, N., 2017, A Decision Making Method By Combining TOPSIS and Grey Relation Method Under Fuzzy Soft Sets, Sigma Journal of Engineering and Natural Sciences, 8: 53–64.
• [29] Hwang, C.L., Lai, Y.J., Liu, T.Y., 1993, A new approach for multiple objective decision making, Computers and Operations Research, 20: 889–899.