جستجوی مقالات مرتبط با کلیدواژه « Covid 19 » در نشریات گروه « جغرافیا »

In the past decades, the frequency of pandemics of global importance has increased significantly and created significant threats to human health and society. Covid-19 is a contagious infectious disease. This virus has a high reproduction rate, spreading faster than COVID-19. With widespread human-to-human transmission, it has deeply affected the world and has had a different impact on countries, cities, and societies. It has also significantly affected human society, including health care, economic structures, and social relations. This virus has spread in all continents of the world except Antarctica. Since January 2020, the virus has spread significantly in countries such as Italy, Iran, Brazil, and the United States of America and has rapidly spread to other countries. Moreover, it infected hundreds and killed thousands in the fastest unprecedented crisis ever. As of June 31, 2023, the number of cases of COVID-19 in the world is approximately 675,033,474, and the number of deaths has reached 6,761,290. Cities house most of the world's inhabitants. The high concentration of people and activities in cities makes people vulnerable to various stressors, such as natural and manufactured disasters. In the recent pandemic, cities are the places where the transmission started.  Cities are generally considered as a vulnerable area for infectious diseases. The origin of many infectious diseases is within the cities, fueled by the increase in urbanization, and these types of diseases spread rapidly within the urban texture. In many countries, COVID-19 has changed the face of cities, at least temporarily. However, this is not the first time in human history that epidemic diseases have affected cities. This impact will change the way we think about cities and health. Therefore, cities are a natural environment for spreading infectious diseases. This pandemic is happening right now, and this fundamental challenge in global health governance can also be considered an urban accident, which has created significant problems for urban management and planning. The current pandemic is crucial for managing urban planning in critical conditions. As many regions of the world struggle with the COVID-19 crisis, researchers are constantly trying to shed more light on the underlying patterns of the pandemic and its unanswered aspects. This topical aspect of this virus requires analysis that adopts an interdisciplinary approach. Furthermore, geography is one of the few disciplines that intends to perform this analysis according to environmental characteristics. In this research, urban geography examines environmental factors, social factors, economic factors, etc. A growing literature shows that residential, economic, and social living conditions and neighborhood conditions significantly affect the pandemic. There is evidence that socio-economic and demographic characteristics are factors influencing the transmission of COVID-19.Person, place, and time are the essential elements of outbreak and epidemiology research. It is necessary to examine the interaction of the internal environment (residential space) and the external environment and its effects on the health of city dwellers. The influence of the neighborhood environment is a fundamental factor that cannot be neglected when studying the health of residents and the indoor environment. Considering that the neighborhood environment can affect the indoor environment, it is reasonable to assume that the indoor environment can mediate the relationship between the neighborhood environment and the residents' health. The built environment can be essential in minimizing crowding and facilitating social distancing and has historically played an essential role in controlling epidemics. The purpose of this research is to measure the impact of each socio-economic quantity and the built environment on the rate of contracting the disease of COVID-19 at the level of all localities of Urmia city in 2020. Socio-economic quantities include the population, the number of older people (over 65 years old), the number of literate people, and the number of workers in each neighborhood. The quantities of the built environment include building density, net population density, population density, commercial density, medical density, density of roads and streets, green space density, occupation level, street congestion, average height of buildings, and number of bus stops.

The type of research is quantitative. The research is also practical from the point of view of the goal. In terms of approach, the research is descriptive. The required data for the research are the number of people infected with Covid-19 and social, economic and environmental indicators (number of population, number of elderly people (above 65 years old), number of literate people and number of employed people, building density, net population density, population density, commercial density, treatment density, density of roads and streets, density of green space, occupancy level, street congestion, average height of buildings, number of bus stops in each neighborhood). Moran's analysis and hot spot analysis have been exerted to find out whether the patients are sprawl or concentrated (clustered). And in the following, Pearson's correlation coefficient and multivariate regression were applied to analyze and determine the direction and intensity of the relationship between the variables.

The results of the Moran's coefficient indicate the clustering of the number of patients at the neighborhood level. Also, the p-value confirms the cluster formation, and the results of the analysis of hot spots also led to the identification of six high-risk neighborhoods with different confidence levels. The presented correlation and regression analysis showed that among the fifteen variables mentioned in the research findings section, six had a positive relationship with the infection rate at the neighborhood level, and three had a negative relationship.

The results show that the number of employees, population density, number of older people, building density, commercial density, and road density affect the infection rate with Covid-19. What is fundamentally clear is that reflecting on past events and learning about what can be improved for future responses is essential for the built environment and related professionals, because life after the pandemic will never be the same. Planning, architecture and the built environment will change under the influence of values, life and habits. Increasing layers of immunity in modern built environments seem to help prevent the spread of infections and diseases.

Tourism industry has been affected by various crises over the years. Covid-19 has severely affected tourism in Iran, especially in Mazandaran. Small and medium-sized tourism businesses suffered the most hurt due to their limitations. Therefore, the purpose of this study is to investigate the factors affecting small and medium tourism businesses success in the post-Corona eras.

Design/methodology/approach: 

The method of this research is descriptive – analytical method based on survey. The tool used was a questionnaire with closed questions that its indicators have been collected by studying valid foreign sources and they have been approved by professors and tourism experts. The reliability level of the questionnaire was calculated by Cronbach’s alpha coefficient and then distributed among 177 tourism activists in Mazandaran province. SPSS and PLS3 software were used to analyze the collected data.

Findings show that there is a significant relationship between personal values and market-orientation. There is a significant relationship between personal values and customer orientation. There is no significant relationship between market-orientation and product performance. There is also no significant relationship between market-orientation and intangible assets performance. There is a significant relationship between customer orientation and product performance. There is also a significant relationship between customer orientation and intangible assets performance.

According to the results, suggestions show that it is important to place transparency and sharing of goals. It’s also important that government should support employees. The other important factors are integrated planning in the province, compliance with protocols, holding professional tours, etc.

Originality/value: 

For the first time, this research examines the factors affecting the small and medium-sized tourism businesses’ success in Mazandaran province during the pandemic.

As one of the biggest and most complex global challenges, the COVID-19 crisis has clearly shown how an infectious disease can spread rapidly around the world and deeply affect all aspects of human life. In the meantime, it is very important to adopt a smart approach and use smart city technologies and initiatives for urban resilience in the face of such crises so that communities and cities can best deal with the challenges ahead and have proper preparation for future crises. The current research was conducted with the aim of explaining the effective factors and indicators of a smart city in improving urban resilience against COVID-19 in Shiraz. The research method of this research is quantitative, descriptive-analytical in nature, and practical in terms of purpose. The data was collected using library documents and field studies. The statistical population of the research included all the residents of Zone 1 of Shiraz city, which was determined using the Cochran Jahm formula, and the questionnaires were distributed and collected among the citizens by systematic random sampling. Research data have been analyzed using the structural equation method. The results have shown that all four effective factors of a smart city, i.e., access to services, institutional management, economic, and sociocultural, have a significant relationship with urban resilience against COVID-19. Access to services is the most influential factor in improving the resilience of Shiraz city against COVID-19. The sociocultural, economic, and institutional management factors are in the next ranks in terms of importance and impact on the improvement of Shiraz city's resilience against COVID-19.

Air pollution is one of the most significant challenges in today's world, particularly in developing countries. Therefore, it is necessary to monitor and control the amount of pollutants that threaten human health. In recent years, remote sensing data related to the Sentinel 5 Tropomy sensor has been considered a rich and up-to-date source of information for monitoring and investigating the temporal-spatial changes of air pollutants. In this study, the Google Earth Engine system was used to obtain Tropomi sensor products to check the amount of nitrogen dioxide pollutants in East Azerbaijan province. For this purpose, the distribution map of the NO2 was produced in four consecutive years (1397-1400). Additionally, due to the effective role of motor vehicle traffic in increasing the amount of this pollutant on the one hand and the restriction of activities and traffic of cars during the spread of the Covid-19 virus on the other hand, the changes of nitrogen dioxide in different time periods were investigated to determine the effect of restrictions on the concentration of this pollutant quantitatively. Also, in order to investigate the impact of the reopening of schools and universities after the corona pandemic, pollutant distribution maps were produced and compared for April 1400 and April 1401. The results showed that the density of NO2 in the center of the province was higher than in other cities in all time periods, and the 14-day closure in 2019 had the greatest effect in reducing the pollutant, which was about 59% in Tabriz.

The Covid-19 pandemic, the outbreak of which is attributed to Wuhan, China, has had severe effects worldwide on all industries, including the tourism industry. Sample tourism areas are one of the most important spaces that attract tourists and travelers in our country, which are established and managed by the non-governmental sector in order to provide services to tourists. The administrations of 50 exemplary tourism regions, Kermanshah province, as one of the potential provinces, are active in attracting tourists and providing services to them. It is one of the typical tourist areas of Kermanshah province, Sarab Ravansar, which is situated on Mount Shaho due to its beautiful landscape. Also, being in the vicinity of the central communication axis between cities, and a short distance from the border bazaar, this city, welcomes many tourists and travelers throughout the year. During the pandemic, the significant effects of Covid-19 have been accepted by the activists located in the area of this tourist attraction, like other tourist spots. Examining it can, while clarifying the dimensions of the impact of the pandemic on tourism activists, provide the necessary background and platform for future planning in the face of similar crises. Therefore, the central question of the current research is:-What are the most important socio-economic effects of Covid-19 on the active beneficiaries in the sample tourism area of Sarab Ravansar?

In terms of approach, the current research is a quantitative study based on the objective of applied type, and in terms of nature, it is a part of descriptive-analytical studies. In this research, a library method has been exerted in theoretical foundations, and a survey method to collect information related to the studied society. The statistical population of this research includes all households in Ravansar city that engage in service-economic activities in Sarab Ravansar. In this study, to obtain a suitable sample and fit the study's objectives, the available simple random sampling method was used to determine the number of samples of the Cochrane relationship.The tool for collecting information in this research is a questionnaire that is taken from the studies of Rabiei and Tak Roostai (2020), Afzali and Zare Mehrjardi (2020), Askari Sawadjani et al. 2021, Pazukinejad et al. (2021) and in three parts, it includes questions about the personal and social characteristics of the respondents, including age, gender, education, occupation, etc. The second part includes items in the field of anxiety caused by Covid-19. The third part included items on economic effects, and the fourth part was also on the social effects of Covid-19 on tourism in the studied area. Related software such as SPSS and Smart PLS have been used in this study for data analysis.

Based on the results of the t statistic related to the studied indicators, it was observed that the extracted t coefficient was positive and significant for the indicators of concern about financial issues (t = 5.83), concern about closure, or disruption of activity. related things (t = 5.35), stress caused by thinking about Covid-19 (t = 7.9) and fear of being infected with Covid-19 (t = 3.48). This situation shows that the average of the mentioned indicators among the studied people is greater than the theoretical average (3). Also, the positivity of the two upper and lower limits related to the total index indicates the significance of the difference between the mean of the variable in question and the theoretical mean. On the other hand, based on the obtained results, considering the index of concern about the transmission of the virus to others (t = -3.32), the t coefficient was negative and significant. Therefore, it can be said that the theoretical mean (3) of the mean This index has been larger. In other words, as it was said in the first part, the studied people were not worried about the transmission of the virus by themselves to others.Based on the results obtained from the structural equation model, the variable of anxiety caused by Covid-19 has a significant effect on the variables in question, so that it has a significant effect on the economic (with an influence coefficient of 0.383) and social factors (with an influence coefficient of 0.509). have been. Also, the variable of economic factors affected by the Covid-19 has also had a significant effect on social factors with a coefficient of 0.137.

The social factors examined in this study include the three indicators of business, education and family domains. It showed that the initial results of the investigation of indicators related to social factors affected by Covid-19 were positive and significant, the t coefficient extracted for the indicators of the family domain (t = 4.96), the education domain (t = 3.06) and the business domain and work (t = 4.01). Based on this, it can be said that from the point of view of the studied people, Covid-19 had an effect on social indicators, and this was confirmed based on the structural model. So that the results of the model showed that the anxiety of Covid-19 (the effect of Covid-19) had a significant effect on social factors (with an influence coefficient of 0.509). Although the effect of Covid-19 on social spheres such as economic issues is not clear and direct, and even in some studies it is mentioned that these effects are not well known, but the effects of Covid-19, which include the implementation of quarantine, distancing social issues and even anxiety from Covid-19 have caused the closure or partial closure of many jobs and businesses in the studied area, which has affected family and educational relationships and even social interactions due to their jobs. The result obtained in the field of social effects caused by the Covid-19 pandemic is consistent with the results of Imani Jajermi's study (2019), Abbas et al. (2021), Suliko et al. (2021), Sah et al. (2020).

Most countries suffere from a pandemic and an increase in the number of confirmed cases, so they adopt different strategies to respond to the outbreak and use all possible resources effectively and quickly in an anti-pandemic campaign. In addition to meeting daily needs, urban structures must have the basic capacity to respond to emergencies. This study aimed to provide a comprehensive picture of urban health self-sufficiency status in Jiroft and to provide possible solutions to respond to emergencies in COVID-19 conditions. Data were collected through interviews  and documentary method using the COVID-19 prevalence statistics of Jiroft City until December 2021 and the comprehensive plan of Jiroft City (2016). The study's statistical population included the city's five districts based on the master plan and the experts present in a symposium. For data analysis, EDAS and the importance and performance of IPA were used. The results showed that Jiroft as a whole has not acted as a self-sufficient environment in pandemic conditions. Only area two has been able to withstand the pandemic due to the concentration of urban health components. The strategies of moving doctors' offices from Rajaei Street to side streets, setting up active arrangements for every organization, and obtaining a separate budget for every organization were recognized as the most probable solution according to the conditions of Jiroft city.

The current research aims to explain; The degree of diversification of economic activities has been done in increasing the economic and social resilience of touristic villages of Rasht county against the disease of Kovid-19. The current research is practical in terms of purpose and descriptive-analytical in terms of its nature and methodology, and SPSS and GIS software were used to analyze the data. The corona virus was reported by the World Health Organization in China in early January 2020. The virus spread rapidly in the Wuhan region of China. Following the crisis of the spread of the corona virus in different parts of the world, its spread was officially confirmed on 17 February 2020 by the Ministry of Health, Treatment and Medical Education. In Iran, with the spread of the Corona virus, the number of tourists decreased by 90 percent compared to previous years. Tourism in all the cities and villages of Iran has caused a lot of irreparable damage during the Corona era, and the highest damage estimate was related to touristic villages. The results of sample t-test and Spearman's correlation showed that diversification of economic activities at a significance level of 0.000 has a great impact on increasing the economic and social resilience of touristic villages. Also, in order to categorize the level of economic and social resilience in each of the Districts of Rasht county, focusing on the diversity of economic activities, standard deviation was used. The results showed that the state of economic and social resilience after From the point of view of council members and villagers, it is desirable to create diversity of economic activities in all the studied Districts of Rasht county.

Architecture is considered as a container for human life and in this regard, is necessary which the continuity/evolution in the dimensions of the durability of architectural buildings and the influence of external factors, should be considered urban designers and architects, in order for the interaction and social interaction between the individual and that work to be formed based on the interaction between the characteristics of the work and the mental image of the audience. 

Research Aim:

Considering the importance of architectural permanence in the context of time and the impact of various factors, the purpose of this study is to presentation a model of durability architecture (continuity/evolution) in the design of Tabriz commercial complexes in the post-Crown era.

The research method is mixed (a combination of quantitative-qualitative methods) with a practical purpose and analytical-contextual nature, and in order to analyze the information has been used structural equation modeling in AMOS software.

Studied Area: 

The geographical scope of the research includes the city of Tabriz and its commercial complexes.

Findings show that among the internal variables (architecture itself) the most impact on the durability of architecture is related to the strength of structures, attention to technology and technology in architecture and emphasis on values and culture of society with a value of 0.92, 0.88 and 0.85 respectively and among the external variables (corona effect) related to the variety of services for the benefit of the residents of the area (region) and the lack of extensive relocation, considering a precondition at the entrance of the complex to disinfect and use new materials with anti-aging properties. Bacterial values are 0.84, 0.70 and 0.66, respectively.

The results indicate that the sustainable architectural model of commercial complexes can be compiled based on the consideration of the background factors (the architecture itself) and external factors (the effects of the epidemic) in the three dimensions of body, function and identity-meaning.

Health socialization and the practical adherence of citizens to the norms and values of the collective health system is one of the most important types of socialization, which is more important and necessary to pay attention to, especially in times of collective challenges and crises, such as the recent conditions that have emerged in the world due to the spread of the Coronavirus. Finds. For this reason, the current research, with a practical goal, positivist paradigm and a quantitative approach, seeks to measure the health behaviour and socialization of citizens during the Corona epidemic and identify the factors affecting it. In this regard, the literature and the theoretical framework of the research have been compiled using library studies and based on the integration of the KAP model with the theories of Keyes, Bourdieu and Schwarzer. Data collection has also been done through a survey method (using a questionnaire). While confirming the validity and reliability of the tool, the sample size was determined cross-sectionally and online with the help of Cochran's formula and the sampling process in the statistical population (residents of Tehran and Karaj cities). Finally, the sufficiency of the number of high-quality samples (667 samples) was confirmed using KMO statistics and the data analysis was done in a statistical manner (including descriptive and inferential analyses with the help of chi-square and Spearman coefficients and multivariable linear regression model in the SPSSv26 software environment) and the inference mechanism was realized. Is. Descriptive findings show a higher than average level of adherence of citizens (average 3.86) to complying with health and care recommendations considered in public spaces, and according to inferential findings, the level of health socialization of citizens directly depends on the state of awareness (the level of risk perception and its consequences) and Their attitude (perceived self-efficacy level and level of acceptance, cohesion, solidarity and social participation) is affected.

Despite the fact that tourism was facing a growing and positive trend in the world and has made significant economic progress in tourist destinations, this progress has been hampered by the incidence of some crises and negative events. Crises such as floods, earthquakes, pandemic outbreaks are an unprecedented threat to the tourism industry.The present study tries to investigate the challenging effects of COVID-19 on Iran's tourism industry and to present scenarios for tourism behavior after passing through this crisis and the action of tourism operators in the post-Corona era and in the horizon of 1405. The research method was descriptive-analytical and survey using content analysis, Delphi method and scenario writing. The results show that COVID-19 has devastating and irreparable effects on Iran's tourism industry and the decision to travel domestic and foreign tourists and their understanding of the current situation and finally, three scenarios of golden, black and white and critical towards the future of tourism in Iran were proposed in the horizon of 1405.

Today's urban environments have become places with high vulnerability due to the density and accumulation of countless natural and human forces. The spread of the Covid-19 virus and its unintended consequences are seen as a wake-up call to the current urban lifestyle. Observing the physical distance between citizens is currently considered as the most effective way to prevent the further spread of the Covid-19 virus and similar epidemics. This shows the increasing role of urban environments in the control and management of human resources. The purpose of this study is to analyze the quality of the functional environment of the central area of Zanjan in the effective Encountering with the Covid-19 epidemic. The research method is descriptive-analytical and questionnaire was used to collect information. The number of statistical sample people to collect data is equal to 152 citizens of Zanjan in the central area of Zanjan. Structural equation model was used to analyze the data and SPSS and Amos Graphics software were used too. The results show that the components of land use attractiveness, land use time attractiveness, land use activity hours during the day, unnecessary centralization of land uses and variety of land uses in the quality of the functional environment in the central area of Zanjan in the face of The Covid-19 epidemic was effective. Based on this, with a suitable combination of existing land uses, it is possible to improve the quality of the functional environment in the face of the Covid-19 epidemic by reducing the crowds and crowding in the central area of Zanjan.

The corona virus and its effects and consequences have caused many challenges in the economic and livelihood situation of the people, thus, in order to prevent the further spread of this virus, countries have taken various measures and methods which have caused the lack of on time supply and disruption in the marketing of rural products, which ultimately have affected the supply chain of the villagers' products. Kermanshah province is considered as one of the most important provinces of the country in the field of agricultural production, due to its diverse climatic conditions and the potential of natural resources. About 30% of the province's workers are working in the agricultural sector.Hence, the main purpose of the present research is to analyze the impact of the spread of the Covid-19 pandemic on the supply chain of agricultural products in the villages of Kermanshah province so that the effects of the corona virus on the supply chain of agricultural products of investigated villages be identified. the present research is developmental-practical and qualitative, which was conducted using the grounded theory method. Purposeful sampling of the snowball was used. 40 local officials were used as participants, who were interviewed fully and data collection continued until reaching theoretical data saturation. Data were collected through semi-structured interview. Maxqda software was used for managing and coding of documents and finally the analysis has been done The research led to the identification of 117 categories and 6 classes such as supply of inputs, production situation, production problems, product sales situation, product sales problems, product marketing and 1 broad category: supply chain spread of Corona has affected the supply chain of agricultural products in the investigated villages, which led to identification of some cases. In this regard, things like cost increase and lack of things like poison, fertilizer, workers and machines. Transportation and lack of electronic sales of products, market governance and traditional sales methods, failure to take special measures, failure to find a new way to sell, increase and decrease in sales and production of some products, etc., were identified. Planning and taking actions in line with the identified effects can help improve the situation of the supply chain of villagers' products in the covid-19 pandemic

From the beginning of 2020, a new epidemic called Covid-19 affected urban spaces and creating a wave of changes in the physical, spatial and economic dimensions of the city; In a way, it changed from a medical phenomenon to a social and economic phenomenon, followed by the city and urbanization. On the other hand, during the years 2021-2020, the physical distance set by the relevant authorities as the first way to respond to the crisis and to prevent Covid-19 severely affected people's access to urban spaces. Thus, this pandemic encouraged and mobilized the breaking of habits and short-term innovations and quick solutions to urgent problems, so that the epidemic provided real opportunities for rethinking the urban space.  In the meantime, Iran and especially the metropolis of Tehran have not been immune from this crisis Due to the position of Tehran metropolis as the political-administrative capital and decision-making of the country was selected as a case study. This research is applied in terms of purpose and descriptive-analytical research method and in order to analyze the data and determine the main factors, exploratory factor analysis has been used. Therefore, conducting a study aimed at analyzing the effects of pandemic crisis (Covid-19) in redefining Urban spaces of Tehran in order to identify the factors and components affecting it and improve the ability to deal with pandemic crises in the field of urban spaces is doubly necessary. Results of exploratory factor analysis of 40 research propositions regarding the Analyzing the effects of pandemic crisis (Covid-19) on redefining urban spaces in terms of having a factor load equal to or greater than 0/6 (base criterion) in 3 main areas (redesigning, make smart, multipurpose) Were categorized. Therefore, according to the factor load, their placement in each factor and the relationship between propositions, 3 main factors, redesigning with 29 propositions (41/167% of the total variance), make smart with 7 propositions (15/192%) and multipurpose construction with 4 propositions (9/196%) were identified and identified as the main influential factors in redefining Urban spaces of Tehran.

The beginning of an unknown viral disease called Covid-19 in the Chinese city of Wuhan in January 2020 and its spread throughout the world in less than a few months has worried all countries and caused countless human and financial losses. The repetition of such an event in another form in the future may make the amount of damage higher and the control more complex, so cities need a new reproduction to increase resilience in cases similar to Covid-19. Therefore, the current research tries to analyze the factors affecting the post-corona reproduction of Zanjan city, as well as analyze the possible situations of the city in the future. For this purpose, 26 indicators in 4 dimensions, which were extracted based on field-library studies, were used in the Mic Mac software environment to check the location and performance of the indicators and to identify key factors. Scenario Wizard was used to extracting possible scenarios. Since the research was based on experts, the research sample of 20 people was selected by a targeted method (snowball). The research results have shown that the model of Zanjan city was vulnerable to the spread of the infectious disease Covid-19. Understanding the depth of the disaster will lead to the reproduction of cities in a favorable state so that out of 28 possible scenarios, the favorable scenarios have the highest frequency and realization coefficient.

Green city is one the new approaches evoked by the concepts of sustainable urban development, which can be used to improve the quality of the environment and sustainable urban development. Meanwhile, following the outbreak of Covid 19 virus, the reduction or cessation of some activities has positive effects on the environment. On this basis, proper management and maintaining a favorable environmental situation resulting from this pandemic can pave the way to achieving sustainable development. Therefore, the aim of this study is evaluate the stability of Ardabil city during the pavilion of Covid 19 with approach of realizing the green city. The leading research is applied in terms of purpose and descriptive-analytical in nature and method and its statistical population is citizens of the three regions of Ardabil. The method of determining the sample size was using Cochran's formula, in which 382 samples were determined. It should be noted that sampling method of this research is stratified random. Excle and SPSS software were used to analyze the data. Then, using the stability barometer model, the target areas were leveled. Findings show that score of stability of social dimension (0.522) economic (0.489), environmental (0.434) and total sustainability (0.476) and shows the average level of sustainability, welfare score Ecosystem is equal to (0.434) and human welfare is equal to (0.495). Among these, the towns of Azadi, Rezvan, Azadegan and Hafez due to having favorable conditions in all three dimensions of stability studied have the most positive impact and in contrast to Molabashi and Molayosef neighborhoods because they are informal settlements in all three dimensions of causal stability. Especially in environmental dimension, they have the most negative impact on the studied criteria. Therefore, the necessary planning in accordance with the strengths, weaknesses and priorities of each neighborhood is necessary..

The urban network paths, as the major part of the urban body, are the main spaces of movement and interaction of people with each other, have increased the risk of exposure to pathogens through close contacts between people and levels in daily life, and highlighted its role in the spread of epidemic diseases. According to the theory of space syntax, the way spaces are linked in the city affects the citizens' movement patterns so that it leads to the production of specific social logic. Then, the theory presented a model that can analyze urban spatial structure by representing, computability, and interpreting space, identifying the pattern of citizens' movement, and determining the crowded parts in the segment scale of streets, and contribute to crisis management to achieve a more precise identification of high-risk parts in the city Using the theory of space syntax, the present study selected the city of Jiroft as a sample to display the application of the theory. The reason to select Jiroft as the sample was that is it monocentric and all human activities and movement and nodes are concentrated in the city center.

The present study was applied research in terms of purpose, and descriptive-analytical in terms of nature and method. A part of theoretical information was collected using documents and reports as well as the bibliographic method. The research area, based on the purpose and subject, was the city of Jiroft. An axial map is used as the unit of analysis of the data table and includes the structure of a set of urban open spaces based on the longest view and access. In the next step, the axial map was entered UCL Depth Map 10 to analyze the space syntax. According to this method, the parameters of macro integration, local integration, and depth should be presented for the analysis of physical factors of the city structure.

The present study aimed to discuss the connectivity and permeability of urban tissues and their integration, i.e. the possibility of people's presence in the space, with the COVID-19 epidemic. The results showed a significant relationship between them. To this end, urban streets and spaces were extracted from the 2020 basic map of Jiroft.The integration map showed that the extension of the axial streets along Pasadarn Boulevard to the streets of Amirkabir, Vahdat, Dr. Shari'ati, and then to the streets of Shahid Shafa, Komiteye Emdad, Beat, Keshavarzi Rejaei, Taleghani, Takhti Jonubi, Janbazan, and Doulat is the most accessible and thus the most interconnected paths in this area, and the people are more likely to use these paths more than other paths due to their specific uses in the area; therefore, it plays the most important role in the spread of this epidemic disease and can be mentioned as a street with the high integration.The results also showed that the streets of Saadi, Azadi, Takhti Jonubi, and Taleghani have the most connection. These axes are the main configuration of the city and are the most-used parts of the city due to more connections with other parts, indicating high permeability in these axes with consequences such as the higher prevalence of epidemic diseases. Finally, the analysis results of depth showed that isolated spaces and axes from the city have a low integration, due to the isolation from the main axes of the neighborhood and greater depth, resulting in isolated spaces with a lower level of prevalence than other areas. therefore, it plays the most important role in the spread of this epidemic disease and can be mentioned as a street with the high integration.

The model of space syntax theory provides us with a tool to precisely analyze the city spatial structure, crowded areas, and it helps crisis management to achieve a better identification of high-risk parts. It can be said that the old tissue of Jiroft, which is located in the center of the city and the vast majority of doctors have set up their offices on this part, has narrow streets with very high traffic load due to the daily shopping centers, market, business centers, and government offices located on the other side the street. Relying on the principle of the effect of urban spaces on the prevalence of the epidemic, the present study indicated that health strategies can be implemented much intelligently in the city by identifying the crowded areas of the city, and the focus on these areas can weaken the chain of transmission of the epidemic disease among individuals and reduce the incidence of the disease.

Along with the growth of technology, and the increase of natural hazards in the contemporary world, human life is faced with many challenges, deal with social responsibility has major importance to prevent hazards and reducing their unfortunate consequences for humans which leads to a healthy relationship between people and the environment. To explain the factors affecting social responsibility, the current research examines the existing theories and analyzes previous research findings. The research method of this study is the documentary which explores studies related to the subject that was published from 2011 to 2022. The cited sources were obtained by searching the keywords: social responsibility, social indifference, social commitment, risk of Covid-19, and risky society. The data has been analyzed by attributive and holistic coding and factors related to social responsibility in a risky society, and have been categorized using the obtained results. Findings show that crises and risks can change people's actions and social responsibility is an important factor that affected the actions and relations between actors in crisis conditions. The final results based on holistic coding have extracts, 7 main categories, and 18 sub-categories. The important factors affecting social responsibility are social capital, moral and normative values, and inequality in various dimensions such as power, health, identity, awareness, and indifference, which have the greatest impact in a risky society. These factors through the concepts such as insecurity, citizenship, and altruism affect social responsibility.

During the pandemic and spread of Corona Virus, human life, and cities were exposed to a difficult risk, which has exposed urban societies in all their elements, more than just local and topical damages. Therefore, the current research aims to analyze the effective factors that increase social resilience to the Corona epidemic through social crisis management. This research is descriptive-analytical and practical in terms of its purpose. Based on an analysis of the theoretical foundations of the research and a Delphi method with experts in urban planning who belong to research centers and universities as panelists, the research components were identified. This research used a library method and a survey method in the form of a questionnaire to collect the required data. In the analysis section of the confirmatory factor analysis model in the form of structural equation modeling in AMOS software, the type of components was analyzed according to the impact and effectiveness on other components. The analysis of the structure of the identified effective factors using confirmatory factor analysis shows that the identified factors have a significant structural relationship in creating resilient communities against Corona in Zanjan. The results also show that participation and social networks factor (F1) with a factor load of 0.89, social capital factor (F2) with a factor load of 0.88, knowledge and skills (F3) with a factor load of 0.85, and awareness (F4) with a factor load of 0.75, have the greatest effect in creating resilient societies against the corona disease.