Industrialization and modernization have had a significant impact on various aspects of society including architecture, urban planning, environment, climate, and geography. This impact is evident in phenomena such as the construction of high rise buildings, climate inversion, and environmental degradation. Many of the problems observed in recent decades can be attributed to population growth, migration, and changing needs of citizens. As a result, city managers and architects face significant challenges. The main objective of this article is to conduct a theoretical study on the use of residential towers, with a particular focus on sustainable social development and its implications for environmental protection in Tehran. This research adopts a descriptive-analytical approach and has both applied and theoretical purposes. It is also part of a survey that employs both quantitative and qualitative research methods. The sample size for this study was 384 participants, and data were collected using questionnaires. The data analysis was conducted using SPSS software. The most significant finding of this research is that population growth has fueled the construction of tall buildings, which in turn has contributed to issues such as excessive consumption of natural resources and fossil fuels, destruction of natural habitats, decline in social interactions, climate change, increased traffic congestion, and heightened air pollution. These issues have become a complex and seemingly insurmountable crisis.

The current research is based on the process of algorithmic design and simulation of village boundaries using the Grasshopper plugin in the Rhino software. The proposed algorithm utilizes the image simulator component and its importer in the Grasshopper plugin to input two-dimensional images taken from samples into this plugin. Before entering the data, the input images are converted to black and white to allow the system to distinguish between the background texture and the subject of analysis. Additionally, the proposed algorithm identifies the village boundary by comparing the subject and the text in the pixels of the two-dimensional image. By calculating the internal area of the identified boundary, the algorithm estimates the proportion of textures relative to the background. The main objective of this research is to examine the impact of green and dry textures as natural factors on the density of residential texture in terraced villages in Iran, across various climates. In addition to identifying the density of village textures, emphasizing the comparison of parameters will provide new insights into the texture of terraced villages. The simulation analysis tool, known as the density measurement algorithm, is developed based on aerial maps created by the researchers for this study. By using inverted aerial maps, this algorithm can determine the density of natural texture in the formation of villages and residential texture. This capability reduces the need for physical presence and enhances the accuracy of outputs in analyzing village texture. Furthermore, the identification of parameters will provide the next generation of rural housing with the density pattern of previous generations.

A sense of belonging to an environment is an emotional connection that takes place between people and the external environment. Many studies have shown that the existence of this connection and its deepening between the person and the environment has a significant role in promoting the physical environment and the emergence of positive social behaviors. Therefore, recognizing the sense of belonging and the factors affecting it and ways to improve it is one of the issues that can lead to the improvement of living conditions and physical environment. Among the many factors that affect the sense of belonging, the time factor as one of these factors can be effective from two perspectives; Duration of residence and age of the environment. In this study, while researching the effect of each of these factors on the sense of belonging of residents, a comparison between these two factors and the intensity of the effect of each on the sense of belonging has been done. The present study is applied in terms of purpose and descriptive-analytical in terms of method. In order to collect the required data and information, library and field methods and questionnaire tools were used. The statistical population of the study consists of citizens living in the six studied neighborhoods in Zanjan. The sample size was estimated to be 300 people using the Cochran's formula. SPSS software was used to analyze the data. The results showed that the sense of belonging in the study areas is moderate to low. The results also showed that the duration of residence and the age of the environment have a positive and significant effect on the sense of spatial belonging and its components. Among the variables, the effect of the environment variable on the sense of spatial belonging is greater than the length of stay, so that the age of the environment predicts 27.1% of the variance of the variable of spatial belonging.