Analysis of the spatial distribution pattern and service coverage of pharmacies in the areas of Rasht using spatial analysis and spatial statistics capabilities in the ArcGIS environment

Document Type : Article extracted from dissertations

Authors

1 MSc of Geography and Urban Planning, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil

2 Professor, Department of Geography and Urban and Rural Planning, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil

Abstract
Background and Objective: Optimal land use and physical organization of cities based on efficiency, environmental protection, social justice, and equitable access to services are among the primary goals of urban planning. Therefore, the location and spatial distribution pattern of urban land uses should be aligned with meeting the needs of all social groups, aiming to improve the welfare and comfort of citizens. In this context, qualitative and quantitative evaluation of land uses in the spatial structure of the city and examining their locational suitability across defined zones are of particular importance. Pharmacies are among the units that play a significant role in meeting the diverse needs of citizens in the fields of health, treatment, and wellness. Due to this role, their spatial distribution pattern greatly impacts the level of pharmaceutical service coverage. Given the inter-neighborhood nature of pharmacies, this study investigates their spatial distribution at the level of the municipal areas of Rasht city.
Methodology: To achieve the research objectives, various spatial analysis models within the ArcGIS environment were used, including hot spot analysis, frequency weighting, spatial autocorrelation analysis, population density in relation to the number of pharmacies, and Thiessen polygon analysis.
Findings and Conclusion: The results indicate a high frequency weight of pharmacies in areas 1-3, 3-2, and 2-2; a statistically significant condition in district 2-1 based on high Z-scores in hot spot analysis; a rate of 7.27 pharmacy units per 10,000 people in district 2-2; the representation of proximity-based pharmacy access through Thiessen polygon analysis; and finally, the outcome of spatial autocorrelation analysis showing a random distribution pattern of pharmacies across the areas of Rasht. Each of these findings reveals aspects of spatial distribution patterns across the city, which are discussed further in the full article.

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Volume 6, Issue 1 - Serial Number 19
Winter 2025
Pages 353-367

  • Receive Date 03 February 2025
  • Revise Date 15 March 2025
  • Accept Date 15 May 2025
  • First Publish Date 15 May 2025
  • Publish Date 22 May 2025