Interpretive-Structural Modeling of the Affecting Factors on the Spatial Injustice in Iran

Spatial justice as a new term focuses more on cities, so it is important to address the national scale. Spatial injustice refers to the imbalanced distribution of valuable political, social and economic power, wealth, infrastructures and opportunity resources. From a political geography point of view, spatial injustice can be a threat to the national integrity, national & domestic security and creation of critical areas in the state. The main goal of this paper is Identification and categorization of factors affecting the spatial injustice in Iran. This paper tries to find an answer to the research main question: What are the most important factors affecting spatial injustice in Iran? This study is practical regarding its purpose and in terms of data collection is survey descriptive. Moreover, its data collection is from the questionnaire. First, the dimensions and spatial injustice indicators are distinguished based on the review of the literature, content and comparative analysis of related researches, and interviews with experts. Then using the methodology of modern analytical-interpretive structural modeling (ISM), the relationship between the indicators is determined and analyzed. Finally, the type of variables according to their influence and reception on other variables was identified using MICMAC analysis. Results show that the most important foundations of spatial injustice in Iran based on Interpretive-Structural Modeling Are Inequality in the distribution of power, wealth and opportunities and Theoretical weakness about the spatial justice domain of knowledge