Explaining the Relationship between Urban Morphology and Population (Case Study: Residential Areas with Emphasis on the Northern Half of Tehran)

In 2018, about fifty-five percent of the world's population lived in urban areas and is projected to increase to sixty-eight percent by 2050. The increasing population of cities emphasizes the optimal use of urban neighborhoods for housing. Urban morphology is one of the topics related to the population of neighborhoods. The purpose of this study is to identify morphological indices in the middle scale and explain the relationship between morphology of residential areas and the population living in them. First, based on the internal-cognitive approach, the opinions of thinkers in the field of morphology were examined and the criteria of "land use diversity", "road network pattern", "compaction" and "public transportation network pattern" were identified in 9 indicators on a local scale. Then, the indicators were measured by space layout and network analysis by Depthmap10 and GIS software in 12 neighborhoods of Tehran. In the next step, first the normality of the data was checked by Kolmogorov-Smirnov test method and the correlation of morphological variables with the population index of the neighborhoods was evaluated by Pearson two-way correlation method and SPSS16 software. The results show that the interconnection index with an intensity of 0.724 has the highest correlation and access to public transportation with an intensity of 0.578 has the lowest correlation with the population index. Examining the severity of correlations provides an opportunity for better prioritization to intervene in the existing fabric of neighborhoods with the aim of resettling the population. The results can be used in the field of evaluation criteria for residential design options, selection of road network and quantitative and qualitative assessment of preparation plans in order to accommodate more population and setting the criteria for detailed plans.