جستجوی مقالات مرتبط با کلیدواژه "urban areas" در نشریات گروه "علوم انسانی"

A beautiful city is one of the main concerns of combining aesthetic and practical elements in urban planning, and making the city beautiful is a solution to beautify its residents. Since urban space is the result of citizens' interaction, the greatest pleasure of urban beauty can be found in good design and amenities. In addition to addressing the category of beauty, this article has tried to answer the question that to what extent the urban areas of Ardabil have been able to implement the indicators of urban beauty? The current research is descriptive-analytical in terms of method and practical in terms of purpose. The statistical population was the citizens of the urban areas of Ardabil, and using the Cochran sampling formula, the number of 383 people was determined as the statistical sample size by stratified random sampling. Sampling was done from five urban areas of Ardabil according to the population share of each urban area. The data was collected by two documentary and field methods, and finally, by using Excel software and through Vicor's analytical model, the data was analyzed, and in the research findings, it was determined that each of the urban areas of Ardabil in terms of The implementation of urban beauty indicators had different ratios and the average position of Ardabil city in terms of the degree of urban beauty indicators was estimated with Q 0.545, slightly lower than the average.

Food insecurity can overshadow vital values and even challenge the national security of countries. Therefore, in the effort to improve food security, it is necessary for the policy maker to manage this issue with a conscious approach and a systematic method. In this regard, knowing the current state of food consumption and its determinants is not only a necessary condition for preparing future programs, but it is necessary to continue this work with the aim of monitoring and evaluating the results of implemented programs and actions. With this approach, the present study investigated the pattern of food consumption and the factors affecting it in the urban areas of Iran in 2022. To attain these objectives, the cost-income data from the Iranian Statistics Center was utilized. Additionally, the nutritional performance matrix was employed, along with the classification system provided by the Iranian Statistics Center. To better comprehension regarding the food consumption in urban regions across the provinces of the country and to pinpoint provinces exhibiting comparable behavioral patterns, the K-means clustering technique was employed. Subsequently, a map illustrating the food consumption patterns in urban areas of Iran was designed. Finally, by using the matching method, factors affecting food consumption in urban areas of Iran were identified. According to the results, the current food pattern of households in the urban areas of Iran mainly includes all kinds of cereals and this product group provides nearly 58% of the daily energy requirement. According to the clustering results, a grand total of five distinct behavioral patterns were detected. Examining the patterns shows that the pattern of food consumption in the urban areas of different provinces of the country is heterogeneous and while having a lot of diversity, it has little relationship with the geographical location of the provinces. Finally, based on the results of the matching method the factors that explain the difference in food consumption between the province include the size of the household, the age of the head of the household, the literacy level of the head of the household, the employment status of the head of the household, the average daily income of the household, the average daily subsidy received by the household, and the food variety.

Nowadays, cities have become the main centers of human life and work. However, this transformation comes with numerous challenges in social, economic, environmental, and managerial domains, and the continuation of this process may lead to a decrease in the quality of life and, consequently, a reduction in urban sustainability. The present study aims to evaluate and assess the status of urban sustainability in terms of environmental quality from the perspective of the elderly in the neighborhoods of Region 4 of Rasht city. This research is practical in terms of purpose and descriptive-analytical in terms of method. The statistical population of the research consists of elderly people living in Region 4 of Rasht Municipality. The sample size in the aforementioned statistical population was estimated to be 400 people using Cochran's formula and with a high approximation. A researcher-made questionnaire was used to collect data, and its validity was confirmed through content validity, and its reliability was obtained as 0.79 using Cronbach's alpha method. Descriptive statistics and one-way analysis of variance (ANOVA) were used to analyze the data. The results of the analysis indicate a significant difference in the level of sustainability among different neighborhoods, such that it can be said that sustainability in terms of environmental quality is only more desirable. Livability in terms of environmental quality in neighborhoods 1, 10, and 11 is more favorable than in other neighborhoods. A desirable sustainability level characterizes the study area's western and southwestern parts.The analysis of each dimension under study indicates that the best sustainability status in terms of environmental quality is attributed to the accessibility component.In contrast, the worst sustainability status is attributed to the pedestrian-oriented component.

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.

Awareness of citizenship rights can have a significant impact on the economic development of urban areas. When citizens are aware of their rights in areas such as transparency, access to public services and protection of property rights, an environment for investment and entrepreneurship is provided that will help grow the local economy. Awareness of citizenship rights leads to the development of infrastructure and improvement of the quality of life, which has more positive effects on the economic prosperity of urban areas. The present study was conducted with the aim of measuring the impact of awareness of citizenship rights on economic development in Shiraz city. In this regard, the research method of structural analysis and pairwise comparison of mutual effects of indicators was used using MICMAC software. The results of the research were presented in the form of tables and graphs output from the software and showed that citizens' awareness of their rights causes indicators such as attracting capital, improving urban access, increasing empowerment and improving public services to have more direct effects on the economic development of urban areas. By strengthening transparency and increasing social participation, these factors provide a suitable platform for the economic growth and prosperity of these areas. In addition, the graph of influence and effectiveness showed that the indicators are scattered on the axis and do not have stable conditions. The most important indicator for the economic development of urban areas is the formulation of laws that provide the possibility of attracting maximum capital with minimum risk. These laws provide a suitable platform for economic growth by creating investment security and reducing obstacles.

The aim of this study was to investigate the correlation between creativity variables with the level of creativity in Rasht and also to identify the effectiveness of each indicator in the realization of urban creativity. To conduct this research, creativity variables in four dimensions including creative infrastructure (13 indicators), creative activities (12 indicators), creative community (9 indicators) and quality of life (10 indicators) were selected A questionnaire technique was used to collect information. According to Cochran's formula, the maximum sample size was estimated to be 384 people. The number of questionnaires in each region was determined according to the relative share of the population in each region. Pearson correlation coefficient and linear regression were used to analyze the data. The results of regression analysis in region one showed that the creative community variable with a modified coefficient of 0.651 has the greatest impact on urban creativity. Also, in the region, two variables of creative community with a modified coefficient of 0.659 have the greatest impact on urban creativity. The results showed regression analysis in region three The variable of creative activities with a modified coefficient of 0.523 has the greatest impact on urban creativity. The results showed regression analysis in region four The variable of quality of life with a modified coefficient of 0.612 has the greatest impact on urban creativity. The results of regression analysis in region five showed that the variable of creative community with a modified coefficient of 0.645 has the greatest impact on urban creativity

Reducing poverty and inequality is one of the most important goals of planners and politicians in different societies of the world. The success of poverty alleviation programs depends on the accurate identification of the phenomenon of poverty. In this study, using the Alkire and Foster multidimensional poverty approach, the multidimensional poverty index in 5 dimensions of education, employment, standard of living, health and housing, for urban and rural areas during the years 1396 to 1398 has been calculated. The results of this study showed that in rural areas about 28% of people are poor and in urban areas about 25% are poor. Poverty rate in 1397 had a decreasing trend but in 1398 had an upward trend. About 51% of the poor live in rural areas and about 49% of them live in urban areas. The highest rate of deprivation in urban and rural areas is related to the employment dimension, which is about 40%. In terms of education, standard of living, health and housing are 16, 4, 24.5 and 15.5 percent, respectively. The multidimensional poverty index in urban and rural areas is 10% and 11.5%, respectively. Deprivation of women in urban and rural areas in terms of education is more than deprivation of men.

The expansion of the urban population to more than two-thirds of the world's population by 2050 on the one hand and the prediction of the growth of the risk of natural hazards in the future, on the other hand, necessitate the attention of managers, planners, and urban policy makers to the issue of greater resilience of societies in the face of natural hazard. The aim of this research was to analyze the spatial resilience of urban areas against earthquakes in Kermanshah. This study used a descriptive-analytical method. The statistical population consisted of the citizens of Kermanshah city, 385 people were selected as a statistical sample using Cochran's formula. For analyzing the data, one-sample t-test, Friedman, Kruskal Wallis, and CV method were used. The findings showed that the resilience of Kermanshah city in all indicators (awareness, knowledge, skills, attitude and social capital) is average. The attitude index is the most important regarding resilience and awareness, social capital, knowledge, and skill are respectively in the next ranks. The results of the Kruskal-Wallis test showed that there is a significant difference between the eight regions in Kermanshah metropolis in terms of all resilience indicators and that the status of the eight regions are not at the same level. Among the indicators, the highest inequality is related to the awareness index and the lowest is related to the social capital index. In general, the spatial analysis of resilience in Kermanshah city is average and there are differences between regions.

The main purpose of this study was to investigate the situation of districts 1 and 6 of Mashhad municipality in terms of urban creativity indicators. The research method is descriptive-analytical. The research questionnaire was designed based on creativity indicators and then this questionnaire was distributed among the statistical population of the research and the information collected in SPSS software was organized. The results of research in region one showed that the human capital index with an average score of 3.52 is better than the other three indicators. Structural, cultural and social capital indicators were ranked second to fourth, respectively. Finally, the average score for the creativity index in the region was one equal to 3.04. The results in region six showed that the social capital index with an average score of 2.91 has a better situation than the other three indices. Structural, cultural and human capital indices were ranked second to fourth, respectively. Finally, the average score for the creativity index in the region was six times equal to 1.98. Based on the results of independent t-test at 99% confidence level, it can be said that there is a significant difference between zones one and six in terms of urban creativity indicators. Based on the comparison of average scores, only in terms of social capital index, region six was in a better position than region one. But in terms of the other three indicators, the situation in Region One was better.

The growth of Kermanshah urban population and the rapid process of migration from rural areas, has led to the development of cities and the emergence of new urban areas and has led to some urban environmental problems. Therefore, considering the vulnerabilities of urban environment in Kermanshah metropolis and the intensification of its degradation in recent years, the present study has assessed the situation of urban areas in Kermanshah in terms of sustainable development indicators. The most important question addressed in this article is: What is the situation of Kermanshah urban areas in terms of sustainable development indicators in various dimensions (social, economic, environmental and physical)?

The present research is methodologically descriptive-analytical and applied targeting. Data collection in this research has been done through library studies and surveys. A field study used a questionnaire and the data collection tool is a questionnaire that was conducted in in Kermanshah. The statistical population of this study includes citizens living in Kermanshah. The number of selected samples according to the population of people in Kermanshah in and based on the Cochran's formula with an error of and a confidence level of , was estimated at people. The sampling method is random. Research has been done in economic, social, physical, environmental and managerial dimensions.

Accordingly, emphasizing the management structure in the city of Kermanshah and paying attention to it in the dimensions of sustainable urban development is more necessary than other sectors of sustainability. One-way analysis of variance (ANOVA) was used to investigate the status of indicators and dimensions of sustainable development in Kermanshah and their differences in urban areas. The means obtained were in the numerical range of . to . . The highest average for economic dimension was . for region one and the lowest average for economic dimension in region was eight times. To examine the indicators of sustainable development in Kermanshah based on regions, analysis of variance was performed at a significance level of . Based on the results, the f-statistic for social, economic, physical-spatial, environmental and managerial dimensions was obtained at a significance level of p≥ . . 

Conclusion:

Findings indicate that social, economic, physical, environmental, physical and managerial dimensions in Kermanshah are in an unfavorable situation. Also, it was found that the situation of the management dimension in region one is significantly different from other regions and the region is in a more favorable situation in terms of management structure than other areas of Kermanshah. Zone two has a more favorable situation than zones five, seven and eight and is in a relatively similar situation compared to zones three, four and six. Zone three was in a better position than Zones five, seven, and eight, in a more unfavorable position than in zone four, and in a relatively similar position compared to zone six.

Atmospheric aerosols are a colloid of solid particles or liquid droplets suspended in the atmosphere. Their diameter is between 10-2 to 10-3 micrometers. They directly and indirectly affect the global climate by absorbing and scattering solar radiation, and they also have a serious impact on human health by emitting harmful substances. In addition, high concentrations of aerosols on a local scale due to natural or human activities have adverse effects on human health, including cancers, pulmonary inflammation, and cardiopulmonary mortality. Monitoring the temporal and spatial variability of high concentrations of aerosols requires regular measurement of their optical properties such as aerosol optical depth (AOD).

Algeria is a large country with little knowledge of the spatial and temporal diversity of AOD, and the low spatial resolution of existing products makes it very difficult to predict aerosols (airborne particles) at the local scale, especially in arid southern regions. As a result, AOD recovery with data with higher spatial resolution is crucial for determining air pollution and air quality information. Several AERONET stations have been installed in Algeria. The Tamanrasset_INM station has been selected based on its location and the availability of historical AOD data for the period (2015-2016).
In this study, Landsat-8 / OLI image from tile 192/44 was used for satellite images. To this end, 23 TOA-corrected L1G-level Landsat-8 / OLI cloudless scenes were downloaded from January 2015 to December 2016 in the study area. DN values ​​are converted to TOA reflections using the scaling factor coefficients in the OLI Landsat-8 metadata file. In this study, the minimum monthly reflectance technique was used to recover AOD in this area. As a result, LSR images were used in the recovery process in different months of 2015 and 2016. The process of selecting reference LSRs was initially based on the selection of clear, foggy / cloudless sky images. The selected images were then used to construct artificial images in which each pixel corresponds to the second lowest surface reflection of all selected monthly images to be the LSR pixel for the respective month. The AOD retrieval method developed in this study is based on a LUT, using the 6S radiative transfer model. The advantage of using the 6S model is its ability to estimate direct components and scattering using a limited number of inputs for each spectral band in the entire solar domain. The effect of the viewing angle is limited because Landsat data are usually obtained with a fixed viewing angle. Surface reflectance can be estimated from a pre-calculated LSR database. The accuracy of AOD recovery depends on the use of the appropriate aerosol model. A continental model was selected from the available aerosol models. Other atmospheric parameters such as ozone, carbon dioxide, carbon monoxide and water vapor are considered by default. The AOD values ​​used to make LUT are set as follows: 0.0, 0.05, 0.1, 1.5, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.2 and 1.5. The zenith angles of the sun and the sensor range from 0 to 70 degrees with a step of 5 degrees and the range of azimuth angles from 0 to 180 degrees with a step of 12 degrees. Using these parameters, the radiative transfer equation was run in forward to obtain the TOA reflection. Different combinations of input and TOA output parameters are stored in LUT. AOD retrieval is based on a comparison between the TOAs estimated with the model and the observed items using the best fit approach. Using such an approach, the estimated AODs are simulated in accordance with those used in the production of TOAs, using a competency function that minimizes the distance.

In this study, the AODs recovered at 550 nm in a 5-by-5-pixel window around the AERONET site were averaged. The considered AERONET values ​​are the average of all measurements taken within ± 30 minutes of image acquisition time. Observation regression results (AOD from Landsat 8 images and AERONET stations) showed that the correlation coefficient is about 84%. This study shows a good fit of the model on the research data and shows the high capability of the model. This study showed a strong recovery of AOD against AERONET data of more than 70% at . The differences can be attributed to a limited number of points or hypotheses related to the aerosol model used in this study. The assumption of using a pre-calculated LSR does not limit the accuracy of this method because we have shown that in arid regions where the change in land cover in different months of the year is small, a pre-calculated LSR image can be representation used the share of surface reflection in the radiative transfer model throughout the month.

In this study, an AOD derived from a high-resolution satellite at an urban scale was produced in the city of Tamanrasset, Algeria. The developed method assumes that the change in land cover is minimal and the temporal change in LSR is not significant. A pre-calculated LSR image is created to show the surface reflection in the retrieval process. Based on the 6S radiative transfer model, an LUT was constructed to simulate the TOA reflection of the built-in LSRs and a set of geometric and atmospheric parameters. The retrieved AODs were compared with the AERONET ground data. The results show that this approach can achieve reasonable accuracy in AOD recovery, which reaches about 70.9% at . In addition, this approach is suitable for estimating AOD in urban areas compared to existing AOD products with low spatial resolution. The results of this study show a 4% improvement compared to the results of Omari et al. (2019). The results of this study showed that ignoring the monthly changes in LSR values leads to good results in AOD recovery.

The increase of social capital in long term has important effects on the mentality of the residents of the neighborhood, mutual trust, solidarity, participation in neighborhood affairs, etc., and when achieved, the quality of life in the neighborhood grows accordingly. In this regard, the present study, an attempt has been made to measure the amount of social capital and the level of quality of life among the residents of the neighborhoods of Rafsanjan city with a sociological approach and survey method, and finally to investigate the effect of social capital on their quality of life. In this research, all the residents aged 18 years and older are part of the statistical population, and according to Cochran's formula, 383 people have been selected by cluster sampling method proportional to the volume. The data collection tool is a researcher-made questionnaire, and the description and analysis of the data has been done using Spss software. The results of the research findings show that there is no significant difference between women and men in terms of the amount of social capital and quality of life, but there is a significant difference between income groups and the amount of social capital and their quality of life. Also, there is a significant difference between the different periods of people's residence and the amount of social capital and their quality of life. The results of multiple regression analysis show there is a correlation of 0.508 between research variables. Also, about 25% of the dependent variable changes are predicted by the social capital variable, and among the components of social capital, trust has the greatest impact on the quality of life of city residents.

Applying strategies of creative cities is one of the ways forward for many cities today. Cities that are facing problems in social, economic, cultural and environmental dimensions can moderate such issues by prioritizing creative elements in different fields. creative city is not only a space where creativity grows, but also its organization and management are planned creatively. In the current research, the assessment and prioritization of the five areas of Ardabil city based on the indicators of the creative city have been discussed. The collection of data and information is in the form of library and field (questionnaire). The statistical population of the research is the five regions of Ardabil city, where 385 people were selected as a statistical sample by simple random method. A method called MEREC has been used to weight the indicators, and the WASPAS model has been used to measure and prioritize regions. The results based on all indicators show that region one with a value of 0.539 and a good condition is in the first place, region two with a value of 0.537 and a good condition is in the second place, region three with a value of 0.465 and the condition The average is in the third place, region four with a value of 0.436 and the average condition is in the fourth place and region five with a value of 0.425 and the average condition is in the last place.

Resilience is a form of foresight due to the dynamic nature of society's response to events and helps to expand policy options to face both uncertainty and change. The aim of the research was to investigate and spatially analyze resilience indicators of urban areas of Bushehr. The research method is descriptive-analytical and the data is collected by documentary and field method (questionnaire). The statistical population of the research was 30 specialists, urban affairs experts and university professors related to the subject, who were selected in a purposeful way using available-non-probability sampling. In order to determine the validity, the questionnaire was given to professors and experts, and some items were modified with their opinion and its content validity was confirmed. The reliability of the research tool (questionnaire) was evaluated with SPSS software and Cronbach's alpha test was equal to 0. 886; This value is suitable for research tools. Data analysis was done using Vicor's multi-criteria decision-making process and Shannon's entropy method. According to Shannon's entropy method, physical-infrastructural, institutional, economic and social dimensions have the weight of (0. 806), (0. 512), (0. 110) and (0. 95), respectively. The results of the current research, based on the Vicor model, showed that, in total, physical-infrastructural, institutional, economic and social resilience in the city of Bandar Bushehr with an index average of (4. 71), (3. 84), (3) respectively. ) and (2/01), is in an unfavorable situation.

Tourism as an industry has both positive and negative effects. One of the positive effects of this industry is the mental security of tourists from the host community or citizens, this index is influenced by various factors, the measurement of which can be very important in planning for tourism. The aim of the current research is to measure the level of mental security and its effects on tourists' satisfaction with citizens and the choice of Kashan City. The research method is descriptive-analytical. One-sample t-test and Structural Equation Modeling were used to analyze the questionnaire data. The results obtained from the one-sample t-test show the significance of the indicators of peace of mind, attitude, perceived value, comfort, mental image, and security on the mental security of tourists in Kashan, Iran. The findings of the Structural Equation Modeling show that among the measured indicators, the attitude index has the highest factor loading with a weight of 0.97. And it has affected the mental security of tourists more than other factors. The security factor is in second place with a factor load of 0.87. The comfort factor, mental image factor, value factor, 0.85, 0.81, 0.79, and the comfort scale with a factor load of 0.22 are ranked next. After a more detailed analysis of the indicators, among the subjective image index, tourists' satisfaction with choosing Kashan for travel has the highest factor weight with a factor load of 0.81.

Climatic changes in Iran have been associated with increasing weather anomalies such as sudden and heavy rains, decreasing rain, increasing the average temperature of some cities, and causing widespread drought. Therefore, in this research, an attempt is made to evaluate the impact of climate changes on water-sensitive cities, especially the city of Isfahan, and to predict these changes. The research method in this article is applied based on its purpose and exploratory based on its nature. Also, Demartin's model has been used to measure the dryness factor of Isfahan. In the following, using document and library studies and with the help of information from synoptic stations of Isfahan city and using SDSM software, first the important effects of climate have been measured and then the effects of climate change on this city in the future have also been discussed. The findings of this research indicate that the city of Isfahan is going through very critical conditions in terms of climate. If the process of these changes is not curbed, we will see huge changes in the city of Isfahan in the not-too-distant future. According to the results of Demartin's method, it can be seen that Isfahan is located in a dry and desert region and climate changes strongly affect it. In addition, the results obtained from simulations in SDSM software, which were evaluated with NCEP data (rainfall and temperature), showed that Isfahan City will witness a warming of 2 degrees Celsius by the year 2050, which will affect the entire climate. It will cause the precipitation patterns and the other 26 variables of the Meteorological Organization to collide. This is despite the fact that if measures are not taken to curb the increase in temperature (based on the increase in greenhouse gases) by 2050, this increase will take an upward trend and will increase up to 4 degrees Celsius in 2080.

The purpose of this research is the pathology and role of beltways in Sari city traffic. The research methodology is qualitative and subject-based analysis, and the statistical community in the quantitative and minor sector are formed by managers with academic background and executive and urban experts. The size of the sample was in the quantitative section with the achievement of the theoretical saturation (equivalent to 5 people) and in the small section included the size of 30 experts and specialists in the city of Sari who were specialized in the field of traffic and issues related to the city. After analyzing the indicators, using the Friedman test in SPSS software, the resulting indicators were prioritized and using the one-sample t-test, the beltways of Sari city were measured in terms of traffic and its management. The findings from the Quantitative Department and theoretical studies showed that criteria related to the traumatic role of belts in urban traffic as a whole included the management, economic and social problems of the belts project. The results obtained from the small segment in terms of priority indicators showed that the index of malfunctions of the system of holding disputes in some executive mechanisms and the dominance of relations rather than restrictions in the first priority and the system failure indicator for prioritizing half-life projects and preventing the allocation of favorable budget in the second priority. Also, the results of the one-sample t-test have shown that the role of the ring road in the traffic of Sari city was in an unfavorable condition, which indicates that the ring roads of Sari city have not been able to manage and control the traffic of the city properly.

World experience has shown that urban development is closely related to the development of governance, and it is the same in Iran. Meanwhile, the metropolis of Tehran, as the capital, is facing many problems and District Four, which is one of the most populous areas of Tehran, currently lacks a balance in the level of development between different areas. Discovering the relationship between these conditions and the governance situation in the regions is a research issue. The research was conducted in a descriptive-analytical method with a survey strategy. Indices were first obtained by Delphi method (DELPHI). Indicators that scored higher than average (3 out of 5) in SPSS environment and their standard deviation was low (which in most cases was obtained below 1) were finalized. Therefore, the final indicators of governance were obtained.

Home-based businesses in urban areas are important for the development of social indicators. The purpose of this article is the effect of home-based jobs on the social structure from the perspective of men and women in urban areas of Isfahan province. The present research is applied research in terms of purpose and descriptive-causal research in nature. The statistical population of the study includes all employees in home-based businesses in Isfahan province, which according to the Statistics Center of Iran in November 2016 was 543073 people. Cochran's formula was used to calculate the statistical sample size, based on which the sample size is 384 Household was estimated. Then, using probabilistic sampling method, the questionnaires were distributed among 87 urban points of Isfahan province, which were randomly selected in 1400, so that half were distributed among women and the other half among men. The results showed that according to the variance explained from the perspective of women, the first to fourth factors are social harms, health system, participation and social relations and population structure, respectively. Also, from the perspective of men, the first to fourth factors are the health system, participation and social relations, social harms, and population structure.

One of the issues that most of the world's big cities are dealing with is the occurrence of natural disasters and hazards. Considering the unexpected nature of most natural hazards, it is necessary and needed to use a suitable model for crisis management. Therefore, the aim of the present study is to provide a model of urban crisis management in the 11th district of Tehran.

The current research is applied in terms of purpose and descriptive-analytical in nature, which was carried out using a mixed (qualitative-quantitative) method. The sample size of 314 people was obtained by using the Cochran formula and 15 experts were interviewed using the snowball method.

Crisis management as a reaction to a crisis situation includes a series of continuous and dynamic operations and measures, which generally can act differently depending on the time and place where the crisis occurs, based on the classical principles of management including planning, organization, leadership and control organizations. In this regard, in the current research, a local model based on factors affecting urban crisis management was extracted and after analyzing the quantitative data, the effect of crisis management components in urban areas was confirmed.

Today, with the urbanization of societies and the tendency of people to urban environments, attention to a better way of living has been prioritized. In this regard, the dangers caused by natural phenomena and climatic accidents that threaten humans, neglecting the correct location of cities, the growth and development of established cities, as well as the lack of necessary planning to prevent the unbridled growth of cities. Therefore, it is necessary to use a suitable model that includes all dimensions, components and effective indicators of crisis management in urban areas.