Spatial Modeling and Analysis of Poverty with a Focus on Spatial Inequalities (Case Syudy: Zanjan Province)

Document Type : Research Paper

Authors

1 Assistant Professor, Department of Human Geography and Planning, Faculty of Geography, University of Tehran, Tehran, Iran

2 Department of Human Geography and Planning, Faculty of Geography, University of Tehran, Tehran, Iran

10.22059/jtcp.2025.388026.670489

Abstract

This research examines spatial poverty in the rural settlements of Zanjan Province through a descriptive-analytical approach. The study investigates the impact of geographical, infrastructural, and socio-economic factors on the spatial distribution of poverty by utilizing official census data, satellite images, and upper-level plans. Data analysis was conducted using spatial statistical methods, including the Ordinary Least Squares (OLS) model, which identifies relationships between independent variables such as elevation, slope, and distance from urban centers, thereby explaining local variations in poverty indices. Furthermore, the Spatial Poverty Degree Index (SRPDI) was employed to evaluate the influence of these factors on spatial poverty, followed by the synthesis of components through the Spatial Poverty Index (SPI) and clustering analysis. The results indicate that over half of the settlements are situated in high-altitude and steep slope areas, leading to limited access to infrastructure and natural resources. Additionally, low literacy rates and a lack of an active population contribute to unfavorable social conditions in these regions. The findings highlight the need for multidimensional strategies and targeted policies to reduce poverty, including improvements in service access, infrastructure development, and social capital strengthening. This research provides a scientific basis for policymaking aimed at sustainable development and reducing regional inequalities by identifying the complex interrelationships among various factors.

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References

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Town and Country Planning
Volume 16, Issue 2
Autumn & Winter
October 2024
Pages 285-301

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History

  • Receive Date: 02 January 2025
  • Revise Date: 17 January 2025
  • Accept Date: 21 January 2025

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