Kurdish Studies

ISSN: 2051-4883 | e-ISSN: 2051-4891

Assessment of the Efficacy of Bakery Distribution in Dammam Using GIS, Saudi Arabia

Sherif Abdel Salam Sherif
Professor, Geography Department, College of Arts, Imm Abdul Raham Bin Faisal University
Mena Elassal
Associate Professor, Geography Department, College of Arts and Humanities, King Khalid University
Fadhl Al-Maayn
Associate Professor, Geography Department, College of Arts and Humanities, king Khalid University,
Amany Ahmed
Lecture of Economic Geography in the Higher Institute for Literary Studies, King Mariout,
Keywords: Geographical Distribution; Directional Distribution; Standard Distance, Automatic Self-Correlation; Buffer; Moran's Indicator.


This research focuses on the use of GIS in the spatial analysis of the study and the spatial distribution analysis of bakeries, one of the most significant public services in the KSA, and their efficacy in Dammam. The study relies on the most important and practical aspects of GIS such as the spatial analysis to investigate the characteristics of the spatial distribution of bakeries and its patterns as well as the assessment of the efficacy of their distribution according to the Local Standard. The findings and the recommendations of the study encompass variations in the areas of municipalities and the number of bakeries therein: 0.53 km2 in the center of Dammam, about 3.14 km2 to the east and 4.92 km2 for the municipality in the west of Dammam. However, the general average in all provinces is 2.92 km2. Such a variation amounts to some variation in the average people served by each bakery. There is also a strong correlation between the spatial organization of bakery locations and the (main and arterial) road network in Dammam. In addition, some bakeries do not commit to the standards of planning: roughly 35 bakeries breach the standard of proximity to gas stations. Analogously, 6 bakeries breach the standard of proximity to the sale points of natural gas cylinders and 3 bakeries breach the standard of proximity to industrial regions.

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