Off-street parking facility location on urban transportation network considering multiple objectives: a case study of Isfahan (Iran)
The increasing population in large cities and the unbalanced urban growth associated with massive use of private cars in metropolitan areas often lead to traffic jams and road congestion that warrant the construction of such capital-intensive buildings as off-street public parking facilities. However, the initial problem in such projects is locating a suitable spot where all citizens can be conveniently served and the traffic load in busy city centers can be reduced by removing the need for on-street parking facilities. In this paper, an urban transportation network including, a number of parking demand points, a set of possible sitting locations, and several entry points of traffic flow are considered. Four objectives are generally considered for the public off-street parking location problem that include reducing traffic congestion, maximizing coverage demand, minimizing walking distance between demand points and new parking facilities, and decreasing related costs. The flow-capturing model has been exploited to develop two approaches for minimizing traffic congestion. Based on these approaches and other objectives, two models have been proposed. The covering distance of parking facilities will be uncertain in these models. Traffic flow entry points, driver’s path, and different types of parking lots have also been considered. Finally, relevant information and data required for implementing the proposed models were collected on two traffic zones in Central Business Districts (CBD) of Isfahan (Iran). Then, the ε-constraint method was used to solve the proposed multi-objectives models and the best candidate points for establishing new off-street parking facilities were determined.
First Published Online: 4 Sept 2017
This work is licensed under a Creative Commons Attribution 4.0 International License.
Chaniotakis, E.; Pel, A. J. 2015. Drivers’ parking location choice under uncertain parking availability and search times: a stated preference experiment, Transportation Research Part A: Policy and Practice 82: 228–239. https://doi.org/10.1016/j.tra.2015.10.004
Chiu, H.-M. 2005. A location model for the allocation of the off-street parking facilities, Journal of the Eastern Asia Society for Transportation Studies 6: 1344–1353. http://doi.org/10.11175/easts.6.1344
Dehnavi, H. K.; Rezvan, M. T.; Shirmohammadli, A.; Vallée, D. 2013. A solution for urban road selection and construction problem using simulation and goal programming: case study of the city of Isfahan, Transport Policy 29: 46–53. https://doi.org/10.1016/j.tranpol.2013.04.003
Dirickx, Y. M. I.; Jennergren, L. P. 1975. An analysis of the parking situation in the downtown area of West Berlin, Transportation Research 9(1): 1–11. https://doi.org/10.1016/0041-1647(75)90014-3
Drezner, Z.; Hamacher, H. 2002. Facility Location: Applications and Theory. Springer-Verlag Berlin Heidelberg. 460 p.
Ehrgott, M. 2005. Multicriteria Optimization. Springer. 323 p. https://doi.org/10.1007/3-540-27659-9
Eskandari, M. 2012. Off-Street Parking Facilities Location on the Urban Transportation Network with Multi Objectives (Case Study: Central District of Isfahan): MSc Thesis. Dept of Industrial and Systems Engineering, Isfahan University of technology, Iran.
Figueira, J.; Greco, S.; Ehrogott, M. 2005. Multiple Criteria Decision Analysis: State of the Art Surveys. Springer. 1048 p. https://doi.org/10.1007/b100605
Ghanbari, S.; Ghazi Asgar, A. 2011. Evaluation of different methods of site selection in management of public parking construction in central business of Esfahan using GIS, Geography and Environmental Planning 22(2): 37–40.
Goyal, S. K.; Gomes, L. F. A. M. 1984. A model for allocating car parking spaces in universities, Transportation Research Part B: Methodological 18(3): 267–269. https://doi.org/10.1016/0191-2615(84)90037-7
He, R.; Ma, C.; Li, Y. 2015. Site selection of public parking lot in the new district, International Journal of Wireless and Mobile Computing 8(2): 147–152. https://doi.org/10.1504/IJWMC.2015.068625
Jelokhani-Niaraki, M.; Malczewski, J. 2015a. A group multicriteria spatial decision support system for parking site selection problem: a case study, Land Use Policy 42: 492–508. https://doi.org/10.1016/j.landusepol.2014.09.003
Jelokhani-Niaraki, M.; Malczewski, J. 2015b. Decision complexity and consensus in Web-based spatial decision making: a case study of site selection problem using GIS and multicriteria analysis, Cities 45: 60–70. https://doi.org/10.1016/j.cities.2015.03.007
Khakbaz, A.; Nookabadi, A. S.; Shetab-Bushehri, S. N. 2013. A model for locating park-and-ride facilities on urban networks based on maximizing flow capture: a case study of Isfahan, Iran, Networks and Spatial Economics 13(1): 43–66. https://doi.org/10.1007/s11067-012-9172-4
Mavrotas, G. 2009. Effective implementation of the ε-constraint method in multi-objective mathematical programming problems, Applied Mathematics and Computation 213(2): 455–465. https://doi.org/10.1016/j.amc.2009.03.037
Naghsh e Jahan-Pars. 2008. Detailed Development Plan of Isfahan, Rules and Regulations of Planning and Building. 1st edition. Naghsh e Jahan-Pars: Consulting Engineers, Iran (in Persian).
Nosoohi, I.; Hejazi, S. R. 2011. A multi-objective approach to simultaneous determination of spare part numbers and preventive replacement times, Applied Mathematical Modelling 35(3): 1157–1166. https://doi.org/10.1016/j.apm.2010.08.003
Rosenthal, R E. 2017. GAMS – A User’s Guide. GAMS Development Corporation, Washington, DC, US. 588 p. Available from Internet: https://www.gams.com/latest/docs/user-guides/GAMSUsersGuide.pdf
Shahi, J. 2011. Traffic Engineering. 11th edition, Center for Academic Publication, Tehran, Iran. (in Persian).
Tang, M.; Wang, X.; Yuan, S. 2013. Site selection of mechanical parking system based on GIS with AFRARBMI, Telkomnika: Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 11(7): 3935–3944.
Tehran Barnamerizi Shahri. 2006. Management Studies of Public Parking in Isfahan City. Final Report. Iran. (in Persian).
Tzeng, G.-H.; Huang, J.-J. 2011. Multiple Attribute Decision Making: Methods and Applications. Chapman and Hall/CRC. 352 p.
Wang, Z.; Tan, Z.; Xu, H. 2008. Location model and algorithm of public parking facilities, in 2008 International Conference on Intelligent Computation Technology and Automation (ICICTA), 20–22 October 2008, Hunan, China. https://doi.org/10.1109/ICICTA.2008.368
Wey, W.-M. 2003. Dynamic parking facility location with timedependent demands: the progressive p-median problem, Proceedings of the Eastern Asia Society for Transportation Studies 4: 461–469.