Applied Research in Geographical Sciences

Applied Research in Geographical Sciences

A Decision Support System for Parking Site Selection in Urban Environment, case study:Tehran city

Authors
Abstract
Nowadays almost all big cities are confronting heavy traffic and suffering from lack of parking lots which leads in traffic jam. According to the significant role of vertical parking in reducing the traffic load and smoothing the traffic current; this study was carried out with the purpose of presenting a decision support system for vertical parking site selection for mechanical and constructive parking lots by using Fuzzy-DANP method. Each criterion’s correspondent GIS data was acquired from Tehran Municipality for district no.3, 6, 7, 10, 11 and 17 which were chosen according to the corresponding mayors’ opinions of those districts and converted into its specific layer. Each criterion’s weigh was exerted to its determined GIS layer and eventually all those layers were integrated with each other. The final map of GIS output demonstrated a spectrum which determined the most appropriate to inappropriate locations to establish a parking of each type. The final results were shown within a user interface, including the GIS map and the estimated location of the chosen district and parking type. The overall steps mentioned above are forming the DSS of the study. The results showed that setting up mechanical parking in districts no. 3, 6 and 7 is proper. For building constructive parking; all districts are appropriate.
Keywords

Aktas, A., & Kabak, M. (2016). A model proposal for locating wind turbines. Procedia Computer Science, 102, 426-433. Camacho, C. (2008). U.S. Patent Application No. 11,770-647.
Baban, S. M., & Parry, T. (2001). Developing and applying a GIS-assisted approach to locating wind farms in the UK. Renewable energy, 24(1), 59-71.
Badri, M. A., Mortagy, A. K., & Alsayed, C. A. (1998). A multi-objective model for locating fire stations. European Journal of Operational Research, 110(2), 243-260.
Boffey, T. B., Mesa, J. A., Ortega, F. A., & Rodrigues, J. I. (2008). Locating a low-level waste disposal site. Computers & Operations Research, 35(3), 701-716.
Bozorgi-Amiri, A., Tavakoli, S., Mirzaeipour, H., & Rabbani, M. (2017). Integrated locating of helicopter stations and helipads for wounded transfer under demand location uncertainty. The American journal of emergency medicine, 35(3), 410-417.
Christiansen, P., Engebretsen, Ø., Fearnley, N., & Hanssen, J. U. (2017). Parking facilities and the built environment: Impacts on travel behaviour. Transportation Research Part A: Policy and Practice, 95, 198-206.
Farzanmanesh, R., Naeeni, A. G., & Abdullah, A. M. (2010). Parking site selection management using Fuzzy logic and Multi Criteria Decision Making. Environment Asia, 3(3), 109-116.
Fraile, A., Larrodé, E., Magreñán, Á. A., & Sicilia, J. A. (2016). Decision model for siting transport and logistic facilities in urban environments: A methodological approach. Journal of Computational and Applied Mathematics, 291, 478-487.
Halseth, G., & Rosenberg, M. W. (1991). Locating emergency medical services in small town and rural settings. Socio-Economic Planning Sciences, 25(4), 295-304.
Han, X., & Patterson, P. (2017). The effect of information availability in a user interface (UI) on in-vehicle task performance: A pilot study. International Journal of Industrial Ergonomics, 61, 131-141.
Jelokhani-Niaraki, M., & Malczewski, J. (2015). A group multicriteria spatial decision support system for parking site selection problem: A case study. Land Use Policy, 42, 492-508.
Kumar, S., & Bansal, V. K. (2016). A GIS-based methodology for safe site selection of a building in a hilly region. Frontiers of Architectural Research, 5(1), 39-51.
Kuo, R. J., Chi, S. C., & Kao, S. S. (2002). A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network. Computers in industry, 47(2), 199-214.
Mazzuto, G., Stylios, C., & Bevilacqua, M. (2018). Hybrid Decision Support System based on DEMATEL and Fuzzy Cognitive Maps. IFAC-PapersOnLine, 51(11), 1636-1642.
Nourinejad, M., Bahrami, S., & Roorda, M. J. (2018). Designing parking facilities for autonomous vehicles. Transportation Research Part B: Methodological, 109, 110-127.
Sennaroglu, B., & Celebi, G. V. (2018). A military airport location selection by AHP integrated PROMETHEE and VIKOR methods. Transportation Research Part D: Transport and Environment, 59, 160-173.
Tahri, M., Hakdaoui, M., & Maanan, M. (2015). The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco. Renewable and Sustainable Energy Reviews, 51, 1354-1362.
Thomas, D., & Kovoor, B. C. (2018). A genetic algorithm approach to autonomous smart vehicle parking system. Procedia Computer Science, 125, 68-76.
Vlachopoulou, M., Silleos, G., & Manthou, V. (2001). Geographic information systems in warehouse site selection decisions. International journal of production economics, 71(1-3), 205-212.
Wang, J., Zhang, X., & Zhang, H. M. (2016). Parking permits management and optimal parking supply considering traffic emission cost. Transportation Research Part D: Transport and Environment.