فصلنامه آمایش محیط
پیاپی 66 (پاییز 1403)

The purpose of the present study was to evaluate the factors influencing children’s satisfaction with the residential complexes where they live. The research is developmental-applied in nature  and its method is a mixed approach (qualitative and quantitative) as well as descriptive-correlational. The statistical population includes children aged 11-15 living in newly constructed residential complexes in three neighborhoods: Kaj, Aramesh, and Karimabad in the city of Tonekabon. A sample of 100 girls and 100 boys was selected. The data collection tool in this study was a validated questionnaire. To analyze the findings, the SPSS.19 software and Pearson correlation, regression, and Friedman tests were used. The findings indicated that the residential environment contributes to children’s satisfaction through objective and subjective dimensions, with impact levels of 7.78 and 5.75, respectively. These dimensions are divided into physical-neighborhood unit, physical-residential unit, environmental-neighborhood unit, and personal factors, each comprising different components and indicators. The impact levels of these factors on children’s satisfaction are 9.06, 6.50, 6.45, and 4.00, respectively. Finally, several practical strategies were presented to enhance residential satisfaction.

Cities today serve as platforms for societal development while also being focal points for various environmental, economic, and social challenges. This study investigated the ecological network in Tehran, defined as a system of interconnected ecosystems of the same type, focusing on green and barren land cover from 1986 to 2021. Land cover changes were identified using Landsat satellite imagery and analyzed through a change detection technique applied to classified images. The landscape structure of green and barren lands was then quantified for the start and end of the study period. The results of the land structure analysis in Tehran, including the size and isolation of habitat patches—green and barren lands that provide critical ecosystem services—indicate that the spatial composition and distribution of green spaces in certain areas of the city are unsustainable. Specifically, regions 10 and 8 were found to have the lowest share of green land relative to their population among Tehran’s 22 regions, while regions 1 and 22 had the highest share.

The purpose of this research is to investigate the impacts and correlations of urban factors, with an emphasis on smart city indicators, in Hamadan. The study employs a survey-documentary method for data collection. To achieve meaningful results, a Delphi-based questionnaire was distributed among experts and elites, identifying existing issues, challenges, and their effects on the province’s underdevelopment. Given the inferential nature of the research, six hypotheses were formulated to measure variables, and the results were analyzed. The hypotheses were tested using the one-sample t-test. Subsequently, focal correlation analysis was conducted, and diagrams were presented to illustrate the relationships and effects of the indicators on other variables, as well as the percentage of their mutual influence.The findings revealed that the highest correlation within the smart economy index (impact rate, β) is with the smart transportation index, with a beta coefficient of β = 0.36. The highest correlation within the smart people index (impact rate, β) is with the land use and intelligent activity index, with a beta coefficient of β = 0.72. Similarly, the highest correlation within the smart government index (impact rate, β) is with the smart environment index, with a beta coefficient of β = 0.73.

One of the key principles of sustainable urban development is ensuring fair access to urban services for all citizens. This goal is achieved when urban lands and resources are equitably allocated among the spatial and social units of a city. However, in many of our cities, this principle has not yet been realized, and the unequal distribution of services across city districts remains a clear indicator of urban instability. This study aimed to investigate and analyze the current state of the spatial distribution of essential urban services in the neighborhoods of Meybod, considering population, area, and per capita usage of these services. The research adopted a descriptive-analytical approach and focused on public services in the neighborhoods of Meybod. Data were collected from library sources. The findings revealed that public services are not equitably distributed among the city’s areas. These results highlight the need to incorporate spatial justice into urban service distribution and emphasize the importance of addressing population dynamics and needs in urban management.

Spatial analysis is a methodological approach used to identify and examine the dispersions and interrelationships of phenomena, as well as their differences and similarities, within a geographical context. Resilience, as a form of foresight, reflects the dynamic nature of society’s responses to events and helps expand policy options to address uncertainty and change. This study aimed to investigate and spatially analyze resilience indicators in the urban areas of Bushehr. The research employed a descriptive-analytical method, with data collected through documentary sources and field surveys (questionnaire). Data analysis was conducted using the VIKOR multi-criteria decision-making process and Shannon entropy method. According to Shannon entropy results, the weights of the physical-infrastructural, institutional, economic, and social dimensions were 0.806, 0.512, 0.110, and 0.095, respectively. The findings, based on the VIKOR model, indicated that the overall physical-infrastructural, institutional, economic, and social resilience in Bushehr are in unfavorable conditions, with average index scores of 4.71, 3.84, 3.00, and 2.01, respectively.

In recent years, the Covid-19 pandemic has profoundly impacted urban societies and the lives of citizens. Urban management, as the custodian of city affairs, plays a critical role in controlling the spread of epidemics and mitigating their destructive effects by enhancing the resilience of urban communities. This study aims to examine the impact of good urban governance criteria on improving socio-economic resilience in cities against epidemics. Through theoretical studies, items related to the principles of good urban governance and the economic and social resilience of cities were identified and validated using expert opinions. The statistical population comprised residents of Shiraz, and data were collected via a questionnaire. Using structural equation modeling in Amos software, the influence of each governance criterion on urban resilience was analyzed.The results indicated that consensus-based governance (impact coefficient: 0.39) and efficiency (0.37) had the most significant effects on economic resilience. Similarly, participation (0.37) and consensus-based governance (0.35) were found to have the greatest impact on social resilience in the face of epidemics. Finally, the study proposed solutions to strengthen economic and social resilience to better address such phenomena.

Reducing the level of vulnerabilities and man-made crises and raising the level of flexibility of the physical environment of cities against the tensions caused by threats and also minimizing the rehabilitation time, as well as promoting and improving people’s living standards and in general, making cities resilient against threats is one of the most important factors that should be considered in cities. In this regard, this article has tried to identify and cluster the drivers of physical resilience in Tehran metropolitan area with the passive defense approach using the structural analysis method. Theoretical data were prepared by document method and experimental data by survey method based on Delphi technique. The statistical population consisted of 20 urban experts based on snowball sampling. 48 stimuli were counted and identified, which were processed by structural interaction analysis method in MICMAC software. The findings indicate that the drivers of protection of public facilities and infrastructures (from retrofitting to reconstruction), access to relief agencies (crisis management center, etc.), access to the main road network, radius of access to open spaces, access to firefighting, technical standards, construction principles and patterns, strength of buildings with public use (school, hospital), reconstruction and improvement of unstable buildings, the existence of temporary accommodation centers in the region, the absence of vital and sensitive uses in crisis-prone areas, the number and level of coverage of hospitals and clinics in the area, permeability and compliance with capacity matrices, desirability and compatibility in land use planning of the region as the most key factors on the future trend of physical resilience of Region 4 were selected with the passive defense approach.

The present study aimed to investigate and analyze the regional capacity of SME development, especially regarding indicators such as the increase in producing agricultural products; the capacity of tourism and handicrafts; and the geographical, cultural and linguistic affinity of Hamidiyeh with Iraq in SME development in Hamidiyeh. The present applied study employed a descriptive-analytical research method. The statistical population consisted of all small and medium enterprises (SMEs) in Hamidieh, 180 enterprises. Due to the limited statistical population, all communities were selected as a sample via a purposive sampling technique. A one-sample t-test, regression, and path analysis were employed to analyze the data. The results showed that among the independent variables, the increase in the production of agricultural products with a correlation coefficient of r = 0.609; handicrafts with a correlation coefficient of r = 0.447; tourism capacities with a correlation coefficient of r = 0.832; and geographical, cultural, and linguistic affinity with Iraq with a correlation coefficient of r = 0.450 had a significant correlation with the dependent variable of the SMEs development in Hamidiyeh. The research dependent variable was the SMEs development in Hamidiyeh, which had a range of 12 to 30, a mean of 19.67, a variance of 25.25, and a standard deviation of 5.01. As the findings illustrated, the SMEs development is lower than average from the participants’ viewpoints.

This research analyzed the role of industry in shaping the spatial structure of Abadan, employing an applied approach in purpose and a descriptive-analytical method in nature. Data were collected using documentary and field methods, with the statistical population consisting of 39 districts in Abadan. Quantitative statistical models such as multi-criteria decision-making (TOPSIS), Shannon’s entropy, cluster analysis, Friedman’s rank test, path analysis, and the independent t-test were used for data analysis. The findings indicate that the oil industry has been the primary factor influencing the transformation of Abadan’s spatial structure. It has led to the concentration and polarization of spatial development in neighborhoods associated with the oil company, creating disparities between these areas and other urban neighborhoods. This unequal distribution in access to economic indicators has resulted in a duality within the city’s spatial structure.

This research aimed to develop a regeneration model to enhance the urban resilience of Sanandaj. It is applied in purpose and descriptive-analytical in nature. Data were collected using a researcher-designed questionnaire, and the analysis involved Friedman’s test, correlation analysis, and the t-test. The findings indicated that the average regeneration index in Sanandaj was 2.99, which was below average. Focal correlation analysis revealed that among the dimensions of urban regeneration, the social dimension (34%), physical dimension (27%), economic dimension (24%), and environmental dimension (15%) have varying impacts on urban resilience. Path analysis further showed that the physical dimension, with a weight of 0.362, exerts the most influence, while the institutional dimension, with a weight of 0.278, has the least impact. The proposed model emphasizes sustainable, community-oriented development, poverty alleviation, empowerment, and strategic and operational planning, incorporating discursive, participatory, and public-private partnerships based on justice, community-oriented institutional capacity building, and internal development.