Optimum Geo-Spatial Allocation for Parking Towers Using MCDM in GIS (Case study: Zone No.1 of Mashhad)

Document Type : Original Article

Authors

1 Department of civil engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran

2 Department of civil engineering, Science and Research Branch, Tabriz

Abstract

Nowadays parking spaces have been the main concern for city planners and decision makers, making them realize it is one of the most important infrastructures for the city transportation. The related studies have had an effective role in reducing traffic problems in mega cities concluding enhancement of quality in urban facilities. Ignoring such basics creates typical problems such as; double parking on busy streets with an immense shortage of parking spaces. Furthermore, cargo shipment activities and their applications with a lack of adequate space needed for parking create more difficulties for the transportation. The holy city of Mashhad would be a good case as a metropolitan city with great shortage of parking space especially in the areas densed cargo shipments and an eye catching number of applications which is getting worse each day. However, as a result of mismanagement the problem is getting extended and bigger.
This paper try to find reasonable answers to these intricate questions related to Mashhad transportation difficulties. For this purpose, the first step is to consider, the basic standard of effectiveness and the necessity and the importance of best locations for the parking storage. Then, by evaluating different criterion in an analytical hierarchy method (AHP) the most suitable locations are determined precisely in GIS. Continually, extra efficient alternatives are suggested based on multi criteria decision making techniques such as TOPSIS model and the most suitable sites obtained for parking towers based on the ideal solution. Although the executed methods are evaluated regarding their performance and reliability. Finally, according to the generated answers TOPSIS has reduced 2.2% of transportation difficulties compared to the AHP method.

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