ISSN: 2225-8329
Open access
There are several factors that necessitate the use of bicycle as a non-motorized transportation vehicle. Some of these factors include: Increase of the air pollution, many vehicles traveling simultaneously and creating massive traffic in the urban streets, decrease in the citizens’ physical activities, and danger of peoples’ health. The favorable distribution of bicycle stations that act as the mediator between users and bicycles can play an important role in the increase of bicycle usage. This is the reason that present study was aimed to find the best locations of bicycle stations through mathematical programming and multi-criteria decision making techniques. In order to implement such study, the appropriate criterions of location have been weighted through analytical hierarchy process (AHP), in which final weights of the proposed locations have been calculated through SAW method. In the next step, the combination model has been developed and the final location of bicycle stations has been determined. The results of this study indicated that there were four main factors that influenced the bicycle stations location that some of them had their own sub-factors. These factors included closeness to the bicycle path, transportation and networks, demand, and use type. The resulted locations from combination model indicated reliability of the model.
Alinasab, M. A., Forodi, Sh. (2011). The Sustainable Urbanism Paradigms with Focus on the Bicycle, Report, No. 68, pp. 77-87.
Aminbashian, J. (2010). The Location of Hierarchical Coverage in a Multi-period Time Period with respect to the Increasingly Demand Trend, (the Case of Maintenance Centers of CNG), M.A. Thesis of Industrial Engineering, Faculty of Industrial Engineering and Systems, Isfahan University of Technology.
Ansari, M. R. (2010). Determining the Favorable Maintenance Plan through Combinative Approach of MCDM-GP, M.A. Thesis of Industrial Management, Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan.
Asgharpor, M. J. (1998). Multi-criteria Decision Making, firs edition, Tehran, Publications of University of Tehran.
Batenipor, N. (2011). Designing the Bicycle Stations in Kish Island based on the User-based Approach, M.A. Thesis, Department of Art, Kish Branch, University of Tehran.
Behzadfar, M., Golrizan, F. (2008), The Sustainable Transportation, International Monthly of Road and Building, No. 55, pp. 16-28.
Gharib, F. (2004). Study the Feasibility of Establishing Walking and Bicycle Paths in the Areas of Tehran Ghadim, Journal of Beautiful Arts, No. 19, pp. 17-58.
Ghodsipor, H., (2005). Analytical Hierarchy Process, Tehran: Publications of Amirkabir University of Technology.
Goetzke, F., Rave, T. (2011). Bicycle Use in Germany: Explaining Differences between Municipalities with Social Network Effects. Urban Studies. 48, (2), 427-437.
Hataminejhad, H., Ashrafi, Y. (2009). The Bicycle and its Role in the Sustainable Urban Transportation: The Case of Bonab City, Journal of Research in Human Geography, No. 70, pp. 45-63.
MokhtariMalekabadi, R. (2010). The Geographical Analysis of the Bicycle Role in the Sustainable Transportation System in the city of Isfahan, Journal of Regional and Urban Studies and Researches, No. 3, Issue. 9, pp. 101-122.
NorbakhshBaghbadrani, A. (2010). Defining the Wheat Import Model under the Uncertainty Conditions (the Mathematical Fuzzy Multi-criteria Programming), M.A. Thesis, Department of Economics, Faculty of Sciences and Economics, University of Isfahan.
Palomares, J. C. G., Gutiérrez, J., Latorre, M. (2012). Optimizing the location of stations in bike-sharing programs: A GIS approach.Applied Geography, 35, 235-246.
Pirmoradi, A. (2012). Finding the Best Location of Firing Station through It and GIS, Journal of Artificial Intelligence and precise Instruments, Vol. 6, No. 3. Pp. 13-18.
Rybarczyk, G., Wu, Ch. (2010). Bicycle facility planning using GIS and multi-criteria decision analysis. Applied Geography, 30, 282-293.
Sadeghi, Z. (2012). An Introduction to the Non-motorized Transportation across the World, The Transportation and Traffic Assistant of Isfahan Municipality, The Planning and Studies Administration, pp. 5-7.
Shahin, A., Azar, A. M. (2012). Determining the Optimum Combination of the Customers based on the Kano through Goal Programing: The Case of Isfahan Alzahra Hospital, Journal of Health Information Management, Vol. 9, No. 4, pp. 525-538.
Taghvaei, M., Fathi, A. (2011). The Criteria of Location and Designing the Bicycle Stations in the city of Isfahan, Journal of Applied Sociology, No. 22, Issue. 43, pp. 135-152.
Taha, H. (1998). An Introduction to Operation Researchers, Linear and Dynamic Programming, translated by Mehdi Bazargan to Persian, Tehran: MarkazeNashreDaneshgahi Publications.
Tahaneian, A. R., Pakbaz, A. A. (2010). Prioritizing the Bicycle Stations Locations through Fuzzy-AHP and Statistical Comparison, pp. 1-15.
Vogel, P., Greiser, T., Mattfeld, D. Ch. (2011). Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns, Procedia Social and Behavioral Sciences, 20, 514-523.
In-Text Citation: (Ghandehari et al., 2013)
To Cite this Article: Ghandehari, M., Pouyandeh, V. H., & Mohammad Hossein Moshref Javadi. (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. 3(4), 23 – 34.
Copyright: © 2013 The Author(s)
Published by Human Resource Management Academic Research Society (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode