Document Type : Research Paper


Civil Engineering Department, University of Technology, Baghdad, Iraq.


In recent times, many cities have clustered new sports infrastructures in concentrated areas to create a sports city. Al Hillah City as one of the biggest cities in the center of Iraq, because of many components' countryside relocation and natural expansion of population, and other has been distinguished; extreme population expansion and lastly evolution in need of planning in some inner-city areas and places. Consequently, designated areas in terms of premier spatial allocation and appropriate location for users of general services; sports services that are rapid, on time, and at ease access to them are essential that are not considered. A small- scale recognition has spent on critical aspects of sports utilization for land measure and appropriately locating. This issue has been minimized the premier performance of these spaces and creates problems for the city and its citizens. The premier performance of these spaces has been minimized because of the above-mentioned issue, which creates difficulties for the city and its residents. This research conducted based on the integration between Fuzzy logic algorithm and GIS techniques, spatial analysis tools in ArcGIS software were utilized to implement this method. The results showed that the most suitable areas include three areas that are located on the north-west and the south of the study area. On the other hand, the largest area located on the north-west location respect to Al-Hillah city, the center of Babylon Province, which is considered the proposed area to construct sports city. This study will be useful for decision-makers and stockholders by reducing cost, time, and efforts through decreasing field works.


  • A fuzzy logic algorithm and spatial analysis methods are presented to propose suitable locations for a sports city in Iraq.
  • GIS overlay analysis has been applied based on the fuzzy logic algorithm and data input extracted from the spatial analysis process.
  • The proposed methodology has combined an intelligence multi-criteria analysis and GIS modelling to support the process of decision making.


Fuzzy logic

Suitability analysis


[1] A.Smith,(2010). The development of “sports-city zones and their potential value as tourism resources for urban areas”. European Planning Studies, 18(3), 385-410.
[2] O. Z.Jasim, Hassoon, K. I., & Sadiqe, N. E. (2019). “Mapping LCLU Using Python Scripting“,Engineering andTechnology Journal, 37(4A), 140-147.
[3] N. H.Hamed, M. M.Bayati, & H.R.Mohammed, (2020),“Digital Change Detection and Map Analysis for UrbanExpansion and Land Cover Changes in Karbala City” ,Engineering and Technology Journal, 38(9A), 1246-1256.
[4] T. H.Shihab, A. N.Al-Hameedawi, A. M.Hamza, (2020).” Random Forest (RF) and Artificial Neural Network (ANN) Algorithms for LULC Mapping”, Engineering and Technology Journal, 38(4A), 510-514.
[5] H.R.Mohammed, N. H.Hamed,M. M.Bayati, (2018). “Building of a Spatial Database to Identify Areas of Contamination by Mines and Hazardous Remnants of War by Using GIS (Analyti-cal Study/Basra Governorate)”. Anbar Journal of Engineering Sciences, 7(3), 252-259.
[6] A.Al-Hameedawi, M.Salih, H.R.Mohammed, M.Hassan,  (2018).” Selecting optimum railway track using GIS techniques”, In MATEC Web of Conferences (Vol. 162, p. 03018). EDP Sciences.
[7] N. H.Hamed,M. M.Bayati, H.R.Mohammed, (2020).”Digital Change Detection and Map Analysis for Urban Expansion and Land Cover Changes in Karbala City”, Engineering and Technology Journal, 38(9A), 1246-1256.
[8] H.R. Mohammed (2020),” Mapping Paddy Rice Fields Using Landsat and Sentinel Radar Images in Urban Areas for Agriculture Planning“,Journal of planner and development, (41), 1-28.
[9] M.Namvar, & M. H.Razavi, (2016),”Spatial distribution and location of sports venues using AHP model and GIS techniques (Case Study: Tehran)”.
[10] M. H., S. M., and M. J.Jolandan. "Locating Sports Facilities in City of Talesh by Using AHP in the GIS Environment."
[11] M.Tavakkoli, & E.Dehghani, Sport Tourism Site Selection Model by Environmental Capability Evaluation: Lahijan County.
[12] O.Jamshidi, M.Doostipasha,, S. M. H., M.Gudarzi,  (2018),”Adjustment of optimal sports site selection criteria for elderly using analytical hierarchy process and geographic information system”. Iranian Journal of Ageing, 12(4), 506-517.
[14] L. X. PENG, & GUO, W. Y.GUO, (2011),” The Research on Best Site Selection of Stadium in A City Based on GIS”. Journal of Wuhan Institute of Shipbuilding Technology, 1.
[15] A.Chabuk, N.Al-Ansari, H. M.Hussain, (2017). Combining GIS Applications and Method of Multi-Criteria Decision-Making (AHP) for Landfill Siting in Al-Hashimiyah Qadhaa, Babylon, Iraq. Sustainability, 9(11), 1932.
[16] K. H.Chi, N. W.Park, C. J.Chung, (2002). “Fuzzy logic integration for landslide hazard mapping using spatial data from Boeun, Korea”,. International archives of photogrammetry remote sensing and spatial information sciences, 34(4), 54-59.
[17] G.Klir, B.Yuan, (1995),”Fuzzy sets and fuzzy logic”, (Vol. 4). New Jersey: Prentice hall.
[18] K.Valaskova, T.Kliestik, M.Misankova,” The role of fuzzy logic in decision making process”, Management innovation and business: 2nd international conference on Management innovation and business, Thailand, 2014 (pp. 143-148). ISBN 978-981-09-1685-5.