Marwa Adel El Sayed
Sustainability in urban development is considered as a main concrete stone that effect directly the quality of life for its users. Land Suitability Analysis (LSA) using GIS as a multi criteria support tool reveals the best alternatives for the suitability of sustainable land development. Urban planners working under the umbrella of sustainability using recent technology should contribute their work directly to LSA. This paper aims to develop a new technique to be used by planner to reach best alternative for five main urban sectors (agriculture, Industry, Trade, Tourism, & Residential) using GIS as a multi criteria decision support tool (MCDS), accordingly choosing best city location will be accurately and analyzed upon LSA studies. LSA and MCDS are going to be applied on one survey unit map called Monof along Cairo – Alexandria Road. Results showed that different alternatives could be applied on the area of interest, and all of them are sustainable, but choosing the best deepened on the priority of querying the development sector. The paper suggests a pilot method for land development planning and choosing best city location that would be a guide for the governmental planning organization to support in taking right and analyzed planning decisions.


Aydin, N.Y., Kentel, E. & Sebnem Duzgun, H., 2013. GIS-based site selection methodology for hybrid renewable energy systems: A case study from western Turkey. Energy Conversion and Management, 70, pp.90–106. Available at: [Accessed September 17, 2015].

El Baroudy, A.A., 2016. Mapping and evaluating land suitability using a GIS-based model. CATENA, 140, pp.96–104.

Broesamle, H. et al., 2001. Assessment of solar electricity potentials in North Africa based on satellite data and a geographic information system. Solar Energy, 70(1), pp.1–12.

Çekmiş, A., 2016. Fuzzy Logic in Architectural Site Planning Design. Procedia

Computer Science, 102, pp.176–182.

Chaudhary, P. et al., 2016. Application of an Analytic Hierarchy Process (AHP) in the GIS interface for suitable fire site selection: A case study from Kathmandu Metropolitan City, Nepal. Socio-Economic Planning Sciences, 53, pp.60–71.

Cristea, C. & Jocea, A.F., 2016. GIS Application for Wind Energy. Energy Procedia,

85(November 2015), pp.132–140.

Duan, H. & Huang, L., 2014. Imperialist competitive algorithm optimized artificial neural networks for UCAV global path planning. Neurocomputing, 125, pp.166–171.

Effat, H., 2014. Spatial modeling of optimum zones for wind farms using remote sensing and geographic information system, application in the Red Sea, Egypt. Journal of Geographic Information System, (6), pp.358–374

Huang, C.-J. et al., 2014. Application of cellular automata and type-2 fuzzy logic to dynamic vehicle path planning. Applied Soft Computing, 19, pp.333–342

Jafari, S. & Zaredar, N., 2010. Land Suitability Analysis using Multi Attribute Decision

Making Approach. International Journal of Environmental Science and Development,

1(5), pp.441–445

Javadian, M., Shamskooshki, H. & Momeni, M., 2011. Application of Sustainable Urban

Development in Environmental Suitability Analysis of Educational Land Use by Using Ahp and Gis in Tehran. Procedia Engineering, 21, pp.72–80. Available at: [Accessed August 7,


Khalifa, M.A., 2011. Redefining slums in Egypt: Unplanned versus unsafe areas. Habitat International, 35(1), pp.40–49. Available at:

Liu, R. et al., 2014. Land-use suitability analysis for urban development in Beijing.

Journal of Environmental Management, 145, pp.170–179

Mahmoud, A.H.A. & El-Sayed, M.A., 2011. Development of sustainable urban green areas in Egyptian new cities: The case of El-Sadat City. Landscape and Urban Planning,

101(2), pp.157–170. Available at:

Malczewski, J., 2004. GIS-based land-use suitability analysis: a critical overview.

Progress in Planning, 62(1), pp.3–65.

Malczewski, J., 2006. GIS-Based Multicriteria Decision Analysis - A Survey of the

Literature. International Journal of Geographical Information Science, 20(7), pp.703–


Martos, A. et al., 2016. Towards successful environmental performance of sustainable cities: Intervening sectors. A review. Renewable and Sustainable Energy Reviews, 57, pp.479–495.

Montgomery, B. et al., 2016. A GIS-based Logic Scoring of Preference method for evaluation of land capability and suitability for agriculture. Computers and Electronics in Agriculture, 124, pp.340–353.

Mrkajić, V. & Anguelovski, I., 2016. Planning for sustainable mobility in transition cities:

Cycling losses and hopes of revival in Novi Sad, Serbia. Cities, 52, pp.66–78.

Nasibov, E., Diker, A.C. & Nasibov, E., 2016. A multi-criteria route planning model based on fuzzy preference degrees of stops. Applied Soft Computing, 49, pp.13–26.

Nguyen, T.T. et al., 2015. Design of a GIS and multi-criteria based land evaluation procedure for sustainable land-use planning at the regional level. Agriculture, Ecosystems

& Environment, (200), pp.1–11.

Ning, X. et al., 2016. A multi-attribute model for construction site layout using intuitionistic fuzzy logic. Automation in Construction, 72, pp.380–387.

NUCA, New urban communities authority. Available at: [Accessed June 20, 2009].

RK Brail, R.K., 2001. Planning support systems: integrating geographic information systems, models, and visualization tools R. K. B. Richard E Klosterman, ed., Esri Press.

Romano, G. et al., 2015. Multi-criteria decision analysis for land suitability mapping in a rural area of Southern Italy. Land Use Policy, 48, pp.131–143.

Temiz, N. & Tecim, V., 2009. The use of GIS and multi-criteria decision-making as a decision tool in forestry. OR Insight, 22(2), pp.105–123.

Wanderer, T. & Herle, S., 2015. Creating a spatial multi-criteria decision support system for energy related integrated environmental impact assessment. Environmental Impact Assessment Review, 52, pp.2–8.

Waters, N.M., 2002. Modeling the Environmnent with GIS: A Historical Perspective from Geography B. O. P. and M. P. C. C. Clarke, ed., Upper Saddle River, New Jersey.: Prentice-Hall.

Woodfin, T.M., 1993. Design with nature: Ian L. McHarg, Wiley, New York, 1992, 197 pp., ISBN 0-471-55797-8. Landscape and Urban Planning, 23(2), pp.145–147.

Xiao, N., Bennett, D.A. & Armstrong, M.P., 2002. Using evolutionary algorithms to generate alternatives for multiobjective site-search problems. Environment and Planning A, 34(4), pp.639–656.

Xu, L. & Yang, J., 2001. Introduction to multi-criteria decision making and the evidential reasoning approach. Isbn, (106), pp.1–21.

Xu, Z. & Li, Q., 2014. Integrating the empirical models of benchmark land price and GIS technology for sustainability analysis of urban residential development. Habitat International, 44, pp.79–92.

Yeo, I.A. & Yee, J.J., 2014. A proposal for a site location planning model of environmentally friendly urban energy supply plants using an environment and energy geographical information system (E-GIS) database (DB) and an artificial neural network (ANN). Applied Energy, 119, pp.99–117.

Zabihi, H. et al., 2015. Land suitability procedure for sustainable citrus planning using the application of the analytical network process approach and GIS. Computers and Electronics in Agriculture, 117, pp.114–126.