Prioritizing Components of Smart Parking Needs in Urban Areas (Case Study of Marvdasht City)

Today, the impact of information technology and artificial intelligent can’t be ignored in any aspect of human life. From the beginning of the third millennium until now, convergence of technologies such as Nano technology, Biotech, Information and Communication and Cognitive Sciences into a unified area, which is called NBIC, and using it in urban management and smarting up existing cities or designing new smart cities has been a growing trend. Smart Economy, Smart Transportation, Smart Environment, Smart Citizens, Smart Lifestyle and Smart Office Management are some items that require in a smart city. From these, smart parking, as one the most impressive item in smart transportation, is very important. Smart parking has 6 criterion consist of: hardware, software, detection system, payment system, sensors and stands. The total of these criteria has 32 components. Regarding to the smart projects carried out, less smart parking can be found that has all of these components. Therefore, prioritization of these components in the process of smart parking in Marvdasht city from experts view points has been studied by experts in this paper. This research is theoretical from method viewpoint, and is based on analysis and description, that its analyzation is a combination of quantitative and qualitative analysis that in it prioritization of smart parking indices was performed using Friedman test and implementing using SPSS software. The results of this research reveal that 81 percent of Marvdasht parkings use smart cards, and 80 percent of them use parking management system.   .Also,  the results of this research show that smart parking of Marvdasht city aren’t in a good situation from smarting viewpoint, and in the best cast the amount of smarting in Marvdasht parking is only 47 percent.