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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B5. Istanbul 2004
Table 3. Evaluation results for models accuracy
Status Location Index Overlay | Fuzzy Sum
Estate Status | Status Evaluation Status Evaluation
Rajaee A A * A +
Salimi B B + A -
Saeed
B B * A i
Abad
Status Location Fwzyy Genetic
Rajace A B - B -
Salımi B B + C z
Saeed
B C - C -
Abad
It is seen in Table 3, that Index Overlay has better accuracy
than other models. Therefore, we propose Index Overlay as an
optimum model for industrial estates site selection.
3.7 Finding Optimum Location for Industrial Estates in
Study Area
With respect to models evaluation result, optimum location for
new industrial estate construction can be located by analyzing
Index Overlay output map (Figure 4).
[ Joonvenient sites
& City
; 3 industrial estat
5: 8 Index evetlay resolts
23 0.0
Figure 4. Finding optimum location for new industrial estate
According to Figure 4, convenient sites have been represented
by yellow area and the maximum appropriateness (0.9). They
are potential areas that decision must be made on them based on
their priority (Table 4).
Table 4. Potential sites properties
; Distance Form ;
Sites Area (km^2 a
\rea (km^2) Tabrize (km) Loction f
North-west of
1 2.72 ;
7 Hi Tabriz
2 3.59 17 None oi
Tabriz
Based on table 4, it is identified that Site no. 1 has better
economic, accessing and facilities conditions than site no. 2,
because it is nearer to Tabriz. Price of land is also cheaper in
site no. 1 than that of site no. 2. Therefore, we propose site
no.] as an optimum site around Tabriz for new industrial estate
construction.
4 CONCLUSIONS
Land use mapping is a convenient tool for optimum
relationships adjusting between humans activities and
environment effects that is used for logical resources utilizing
and managing. Optimum site selection is an important problem
for industrial goals that is related to industrial land use
mapping. Industrial estates site selection is one of the industrial
goals that is very important for each country industrial
development. Therefore, in this case study we tried to prove
that GIS is able to work as an efficient decision making tool for
industrial land use mapping problems by successful running and
implementing industrial estates site selection models. For this
purpose, first, we selected a study area at the north-west of Iran
and evaluated different integration models by entering effective
criteria and factors and running models in GIS environment.
Finally, by executing optimum model we found optimum
location for industrial estate construction.
Weighting of factor maps is very important in site selection
process that output results accuracy depends on its correct
defining.
By checking different integration models, it was identified that
Index Overlay, Fuzzy Sum, Fuzzy y and Genetic models can be
used for industrial estates site selection, although, Index
Overlay has optimum running time and output accuracy
comparing with other models.
5 REFRENCES
References from Journals:
An, P., Moon, W.M., 1991. “Application of Fuzzy Set Theory
for Integration of Geological, Geophysical and Remote Sensing
Data.", Canadian Journal of Exploration Geophysics,Chapter
27; PP. 1-11:
Royce, W.W., 1970. *Managing the Development of Large
Software Systems.", Proceeding IEEE Wescon, PP. 1-9.
References from Books:
Aronof, S. 1989. Geographic Information Systems: A
Management Perspective, Ottawa, Canada: WDL Publications.
Bonham Carter and G.F., 1991. Geographic Information System
for Geoscientists: Modelling with GIS, Pergamon, Ontario, PP.
319-470.
Demers, M.D., 1992. Fundamental of Geographic Information
System, Chapter 16, PP. 389-401.
Gen, M., 1997. Genetic Algorithms and Engineering Design,
John Wiley, Newyork, PP. 5-63.
Poladdezh, M., 1997. Site selection for industrial projects,
Tehran, Iran, Chapter 4.
Zimmermann, H.J. and Zayo, P., 1980. Latent Connectives in
Human Decision Making: Fuzzy Sets and Systems, Chapter 4:
PP. 37-3].
