ایران شهرساز

Optimum setting of parking places in Tehran city; Case
study: Seven area of Tehran
Abstract: Nowadays by the increase of the population, most
of the large cities suffer from the lack of public parking
spaces. Public parking spaces as one of the important parts
of a modern urban transportation system, plays an important
role in decreasing the load of heavy traffic. Suitable site
selection for public parking spaces not only increases the
parking efficiency, but it also decreases marginal car parking
and so results in increase of streets' width and traffic fluency.
At the moment in most of the cities, public parking site
selection is done by traditional methods or just visiting of
the site. In this traditional method, considering all of the
effective parameters in site selection is almost impossible
and site selection is done by just considering some limited
factors like land price. Therefore, income cases this causes
the selected site for parking to fall in area so far from tourist
absorbing centers, or far from crowded streets, and finally
the heavy traffic in city. Geographic Information System
(GIS), as a science of analysis of spatial and attribute data,
is an efficient tool to find optimum place for public parking.
In this field of studies use of GIS results in decrease of field
visit and increase of accuracy and reliability of results. In
this paper, we introduce an optimum method for parking site
selection by the use of GIS and considering almost all of the
effective parameters simultaneously. In this article, effective
factors are considered from two main points of view including
parking efficiency and the problem of providing
required land for parking especially in cities central regions.
Then, conceptual model of parking site selection is presented.
Suitable place for parking is also selected for one of the
high traffic regions of Tehran city in Iran. Different methods
for information and layer integration are used and finally
these methods are compared and the most suitable one is
proposed.
Keywords: public parking site selection, GIS, multi criteria
decision making, AHP, Fuzzy logic, Index overlay