Search published articles


Showing 252 results for Co

Mostafa Karampour, Yeganeh Khamoshian Sahneh, Zohreh Ebrahimi, Hamed Heidari,
Volume 25, Issue 78 (9-2025)
Abstract

Atmospheric rivers are one of the atmospheric phenomena that generate heavy rainfall and can lead to significant human and financial losses. Understanding the synoptic mechanisms of water vapor flux and atmospheric river formation in the country's atmosphere, as well as revealing the interaction between the NAO (North Atlantic Oscillation) zonal component and the creation and intensification of this atmospheric phenomenon, can greatly improve the predictability of torrential rainfall events. The main goal of this research is to investigate the atmospheric river phenomenon in the Iranian atmosphere and its relationship with the phases of the NAO phenomenon. In this regard, data on the zonal and meridional components of wind, specific humidity, and NAO anomalies were obtained from the NOAA database during the statistical period of 1944–2019. The results showed that during the study period, atmospheric rivers have shifted in terms of longitude and latitude, moving toward the southern half of Iran. A high correlation was observed between the NAO index and meridional flows at levels above 600 hectopascals. Additionally, a sigma value of 0.2101 indicated a strong correlation with the NAO in the area where atmospheric rivers enter the Iranian atmosphere.  High-pressure centers play an important role in directing atmospheric rivers. These rivers cannot pass through high-pressure centers and typically exhibit meridional curvature at the outer borders of these centers in the Northern Hemisphere, resulting in southwest and northeast orientations. The primary moisture source for atmospheric rivers entering Iran is the Atlantic Ocean, which is further enhanced by water bodies such as the Red Sea, the Sea of Oman, the Indian Ocean, and the Persian Gulf.

Mehdi Asghari, Zeinab Karkehbadi, Abbas Arghan,
Volume 25, Issue 78 (9-2025)
Abstract

In recent decades, good urban governance has been proposed as the most effective, least expensive, and most sustainable method for managing the complex and multi-level systems of modern cities. The centrality of this approach in urban management is based on democratic and egalitarian development, aiming to involve all interested and influential stakeholders in the administration of cities while addressing their diverse needs. On the other hand, women, as one of the main and most influential social groups in urban life, play a prominent role in city administration. Therefore, the purpose of this article is to examine the role of good urban governance during and after the COVID-19 pandemic, with a focus on the women’s status in Semnan. From the perspective of its objective, this research is practical, and in terms of data collection, it is descriptive-survey. A questionnaire was used to collect data and information for this study. The statistical population of the research consists of the citizens of Semnan, with a population of 185,129 people. The sample size was calculated using Cochran's formula, resulting in 383 participants. To analyze the data, single-sample t-tests and multivariate linear regression were employed. Finally, to generalize the results from the sample to the statistical population, structural equation modeling was conducted using Lisrel software. The results of the one-sample t-test showed that the t-values for each of the research variables, with averages lower than the theoretical mean, were negative. This indicates that the dimensions of good urban governance in Semnan, as well as the situation of women in the city, are not in a favorable state. Additionally, the results of structural equation modeling in Lisrel software revealed that the justice variable has the strongest and most significant relationship with good urban governance. Finally, the survey results demonstrate that it is impossible to achieve good urban governance without defining and explaining the practical role of women, who represent half of the city's population and are one of the most important and influential groups in city administration.

Monireh Rodsarabi, Mohammad Baaghideh, Dr Alireza Entezari, Fatemeh Mayvaneh,
Volume 25, Issue 78 (9-2025)
Abstract

To assess thermal comfort conditions in classrooms, a field study was conducted in Sabzevar. The thermal sensations reported by students regarding classroom conditions were documented at various times throughout the day during the 2009–2010 academic year across multiple classes. temperature and humidity data within the classrooms were recorded simultaneous using a data logger. To analyze differences, both ANOVA and the Kruskal-Wallis test were employed. The findings indicated that the geographical orientation and floor level of the classrooms did not significantly influence temperature and humidity levels. In contrast, significant hourly variations in these parameters were observed. Overall, reports of cooling sensations were more prevalent than those of heating sensations (24% vs. 12%). Thermal sensation exhibited considerable variation across different months, with October recording the lowest frequency of thermal comfort sensations. In all months except October, students expressed a preference for "heating." Although the performance of the heating system was deemed adequate, its operational schedule should be modified to commence closer to the beginning of morning classes in order to mitigate substantial energy waste. While temperature and humidity within the classrooms did not present significant monthly variations, students' thermal sensations varied markedly between months. This suggests that thermal sensation is influenced by factors beyond mere physical characteristics (temperature and humidity). In addition to climatic parameters, individual characteristics such as sex, age, weight, height, clothing, and activity level also play a significant role in shaping perceptions of thermal comfort. 

Nahid Keshavarz, Hamidreza Joodki, Ali Nourikermani,
Volume 25, Issue 78 (9-2025)
Abstract

The historical district of cities is a valuable architectural and urban heritage, reflecting the cultural, economic, and social dimensions of the people who, throughout history, have lived in this part of the city and shaped its cultural identity. These areas have witnessed a decline in urban development, and the limited efforts made toward their improvement or reconstruction have been inadequate. The aim of this analytical research is to explore urban regeneration in the historical (old) fabric of Dezful city. The research method employed in this study is a survey-based approach. The statistical population of the present study includes all residents of the historical fabric of Dezful, which, according to the latest census by the Statistical Center of Iran, has a population of approximately 29,277 people. To achieve a logical sample size, Cochran's formula was used, resulting in the selection of 384 samples through stratified random sampling. The primary data collection tool in this research is a questionnaire; however, due to the specialized nature of the questionnaire, interview and observation methods were also utilized to complement the questionnaire data. The results derived from the SWOT and QSPM models indicate that, out of the five final strategies for the regeneration of the historical fabric of Dezful, the top two strategies belong to offensive strategies. Accordingly, studying and designing the possibility of creating pedestrian pathways in the historical fabric—considering the growing public interest in cultural and historical tourism—and utilizing the space along the Dez River for green space development and designing a green corridor along the river and historical fabric can be considered the most important offensive strategies.

Sharifeh Zarei, Dr. Bohloul Alijani, Dr. Zahra Hejazizadeh, Dr. Bakhtiar Mohammadi,
Volume 25, Issue 78 (9-2025)
Abstract

This study investigates the most significant synoptic patterns associated with widespread snowfall in the eastern half of Iran. To achieve this, weather code data and snow depth records from synoptic stations in the eastern half of the country were obtained from the Iranian Meteorological Organization for the statistical period of 1371-1400 (1992-2021), focusing on the months of October to March. Days with simultaneous snowfall covering more than 70% of the study area were identified as widespread snowfall events. For the synoptic-dynamic analysis of these events, a classification method utilizing cluster analysis was employed. Maps of representative days were generated, including variables such as atmospheric temperature, moisture flux, geopotential height, vorticity, front formation, jet stream location, omega index, and meridional and zonal wind data. Additionally, trend analysis was conducted using the Mann-Kendall test. The results revealed that three primary synoptic patterns are responsible for widespread snowfall in the study area. These patterns include: (1) high-pressure systems over Siberia and central Europe coupled with low-pressure systems over eastern Iran; (2) high-pressure systems over western Iran paired with low-pressure systems over Sudan; and (3) high-pressure systems over central Europe combined with low-pressure systems over eastern Iran and Afghanistan. In all patterns, the intensification of meridional flows in the westerly winds, along with the formation of high- and low-pressure centers, creates blocking conditions that disrupt the westerly flow and promote upward air motion. The concentration of negative omega fields and positive relative vorticity advection, coupled with the positioning of northeastern Iran in the left exit region of the Subtropical Jet Stream, contributes to significant atmospheric instability and widespread snowfall in the region. Furthermore, the trend analysis indicated that, although there is no statistically significant trend in the number of snowfall days in northeastern Iran, the overall number of snowfall days has decreased over time.

Mrs Reyhane Salehabadi, Dr Mohammadreza Hafez Nia,
Volume 25, Issue 78 (9-2025)
Abstract

Following the victory of the Islamic Revolution, a new perspective on science and technology emerged in Iran. This scientific discourse was profoundly shaped by the principles of the Islamic Revolution and Islamic ideology, leading to the establishment of new values and objectives for the advancement of science and technology. In the post-revolutionary era, as policymakers recognized science and technology as pivotal drivers of societal progress and excellence, they devised scientific policies and strategies aimed at achieving revolutionary and Islamic ideals. This evolving attitude toward science and technology significantly influenced Iran’s scientific and technological development during this period. Given that the Islamic Republic of Iran has assumed a leading role in scientific leadership within the region since 1979, its contributions to the development of scientific capabilities under successive post-revolution governments are noteworthy. To explore this, a descriptive-analytical approach was employed, utilizing reliable data from both domestic and international sources. The research findings indicate that the prevailing discourse in different governmental periods included a focus on industrialization through import substitution and capital resource allocation (1981–1989), modernization and institutional development with an emphasis on advanced technologies (1989–1997), the promotion of advanced technologies, innovation, export expansion, and social justice centered on knowledge-based industries (1997–2005), the transition toward knowledge-based innovation in the economy (2005–2013), and the enhancement of international cooperation with an emphasis on identity and rationality in policy formulation and implementation (2013–2021). The results demonstrate that, in each phase, measures such as the expansion of higher education and scientific research, the establishment of universities and research centers, and the creation of domestic and international scientific networks were implemented in alignment with the dominant discourse. 

Faeze Shoja, Salimeh Sadeghi, Shamsipour, Eduardo Gomes,
Volume 25, Issue 78 (9-2025)
Abstract

The aim of this research is to evaluate the heat mitigation index (HMI) in the Tehran metropolitan area using the Urban Cooling Model (UCM) approach in a spatial framework. UCM produces maps of the Heat Mitigation Index. This index estimates the cooling potential of urban green spaces in a given location, taking into account various parameters such as evapotranspiration, tree shading, albedo, rural reference air temperature, urban heat island intensity, air temperature maximum blending, and maximum cooling distance. The assessment of environmental factors influencing the UCM in the study area revealed that the urban heat island effect was least intense in regions 1, 22, and the northern parts of region 4 of Tehran municipality, where there are scattered trees, shrubs, open low-rise buildings, and water bodies. The temperature differences between the city and the suburbs ranged from 0 to 1.3 degrees Celsius. However, the study area's central parts showed the highest intensity of the urban heat island, particularly in regions 21, 13, and 14. These regions have a dense and compact texture and an expansion of impervious surfaces, resulting in the lowest values of the evapotranspiration index (ranging from 0.12 to 0.45) and albedo (ranging from 0.09 to 0.16). Based on these parameters, the study area's HMI index showed that the cooling capacity varies from 0.08 in the central parts of the city to 0.9 in areas affected by green spaces and water bodies. The maximum cooling capacity index is concentrated in areas with dense and scattered tree cover in the region. On average, these areas have been able to neutralise 2.48 degrees Celsius of the urban heat island effect with a cooling capacity of 63%. The methodology employed in this research can be used as a reference for urban designers in integrating urban cooling approaches and heat island mitigation strategies in urban planning and design.

Dr Naser Shafieisabet, Masoudeh Nikoeifard, Dr Neginsadat Mirvahedi,
Volume 25, Issue 78 (9-2025)
Abstract

Villagers' self-organization, as a collaborative process, plays a fundamental role in promoting sustainable livelihoods in rural areas. This study was carried out to identify the driving forces affecting the self-organization of villagers and to improve sustainable rural livelihoods in Ashtian County, Iran. Utilizing a qualitative research design with an analytical-exploratory approach, data were gathered through semi-structured questionnaires and in-depth interviews with 30 subject matter experts. The collected qualitative data were analyzed using the Delphi method and MicMac software to identify underlying relationships and patterns among concepts. The findings indicate that the distribution of factors and variables influencing the improvement of sustainable rural livelihoods in the study area is characterized by instability. Additionally, among the 24 primary influential factors, 10 critical drivers emerged as pivotal to advancing villagers' self-organization and promoting long-term sustainability in rural livelihoods. These drivers include innovation and creativity of villagers in agricultural and non-agricultural activities, skills and experience in group activities, and the establishment of local organizations as individual factors; increasing the spirit of entrepreneurship, launching, and promoting new local businesses as psychological factors; increasing participation, cooperation, and a sense of responsibility in agricultural and non-agricultural activities as social factors; empowering villagers by increasing their awareness, social and economic skills, and leveraging new IT and ICT technologies for structural empowerment in the direction of self-organization as education and empowerment factors; access to diverse and reliable financial resources for agricultural and non-agricultural activities as economic factors; delegating authority to villagers in line with local planning and decentralization as planning and management factors; and finally, supporting the creation and development of local businesses, diversifying agricultural and non-agricultural activities, and increasing investment in innovative businesses as socio-economic support factors. These drivers collectively contribute to advancing villagers' self-organization and enhancing sustainable rural livelihoods.

Fereydoon . Babaei Aghdam, Rahim Rahim Heydari Chianeh, Qassem Rahimifard,
Volume 25, Issue 79 (12-2025)
Abstract

The objective of this study was to examine the impact of destination image and service quality on the competitiveness of tourism destinations, specifically focusing on Tabriz city. This research is classified as applied in terms of its purpose and analytical in terms of its descriptive methodology. The statistical population comprised incoming tourists to Tabriz, with a sample size estimated at 384, calculated using Cochran's formula for an infinite population. To gather field data, a researcher-developed questionnaire was employed, the validity of which was confirmed by subject matter experts. The reliability of the instrument was assessed using Cronbach's alpha and composite reliability, with the results affirming the questionnaire's reliability. Data analysis was conducted utilizing SPSS and LISREL software. The findings indicated that both destination image and service quality exert a positive and significant influence on the competitiveness of tourism destinations. Furthermore, the path coefficient analysis demonstrated that the impact of destination image on the competitiveness of tourism destinations was greater than that of service quality.

Ghazal Asadi Eskandar, Bahador Zamani, Shahab Kariminia, Maryam Ghasemi Sichani,
Volume 25, Issue 79 (12-2025)
Abstract

Increased temperatures in urban areas due to high energy consumption and greenhouse gas emissions are some of the problems of today's cities. Urban open spaces in hot and arid climates experience this problem more in summer. The purpose of this study is to show the relationship between morphological components of the urban fabric and thermal comfort through integrated analysis. In this study, urban fabric types were extracted by considering ground space index, floor space index, open space ratio, average height, streets orientation, streets organization, and type of plots according to their configuration of mass and space. To study thermal comfort, a field study was carried out in five neighborhoods in the historical context, for five continuous days in summer. Environmental variables including air temperature, humidity, radiant temperature, and wind speed were measured, and the physiological equivalent temperature index was calculated using ENVI-met software; thermal comfort in the neighborhoods with different morphological characteristics was analyzed. The results showed that more than half of the data during the day in the hot season in all five neighborhoods are in conditions of extreme heat stress. Comparison of neighborhoods with different morphological features indicated that two neighborhoods with higher open space ratios, despite the difference in the orientation of the streets and the type of plots, have lower thermal comfort compared to other types. A neighborhood with a higher ground space index and a lower open space ratio has a lower average physiological equivalent temperature.

Mr Ebrahim Bairanvand, Dr Amir Gandomkar, Dr Alireza Abbasi, Dr Morteza Khodaghoi,
Volume 25, Issue 79 (12-2025)
Abstract

The torrential rains that occurred in April 2017 in Lorestan Province exemplified severe precipitation that inflicted substantial damage on agricultural, urban, transportation, and communication infrastructures. This study aims to investigate and elucidate the relationship between the physical structure of clouds responsible for two waves of heavy rainfall in April 2017 within the Doroud catchment area of Boroujerd. In this context, the statistical characteristics of two precipitation events on March 25 and April 1, 2019, were analyzed. The microphysical properties of the clouds generating these two heavy rainfall events were examined utilizing the Madis superconductor product and MOD06. Four microphysical factors contributing to the formation of clouds during these two rainfall waves in the Doroud-Borujerd basin—including cloud top temperature (CTT), cloud top pressure (CTP), optical cloud thickness (OCT), and cloud cover ratio (CFR)—were analyzed. Statistical assessments indicated that the first wave of heavy rainfall, occurring on March 25, 2019 (5 April 1398), accounted for 15% of the total annual rainfall, while the second wave on April 1, 2019 (12 April 1398) contributed 20% of the region's average annual rainfall within these two days. The findings from the analysis of the microphysical structure of the clouds producing these two precipitation waves, based on data from the MODIS cloud sensor product, revealed a significant spatial correlation between the four microphysical factors and the recorded precipitation values of these two heavy rainfall events. Specifically, the cloud top temperature and pressure, indicative of vertical cloud expansion in the area, exhibited a significant inverse relationship with the precipitation amounts in the basin. Conversely, the cloud cover ratio and optical thickness demonstrated a direct and significant spatial correlation with the recorded rainfall values. The results of this study thus establish a significant and robust relationship between the microphysical structure of clouds and the precipitation amounts recorded in the region during these two heavy rainfall events. 

Mis Zahra Asgari Gandomani, Mr Hamid Roodbari, Mr Yaghoob Mohammadi,
Volume 25, Issue 79 (12-2025)
Abstract

Green marketing has emerged as a significant area of interest, particularly among sports consumers who express concern regarding environmental issues and demonstrate a willingness to purchase eco-friendly products. Nonetheless, the actual sales of such green products remain below expectations. Consequently, this study aims to examine the influence of environmental factors—including attitude, concern, and sense of environmental responsibility—on the purchasing intentions of environmentally conscious sports consumers. The present survey study gathered data from 384 Iranian students through a seven-point Likert electronic questionnaire comprising 27 items. Participants were selected using a simple random sampling method. A total of 390 questionnaires were distributed, with 384 deemed valid for analysis. The data were analyzed using PLS software to assess the reliability and validity of the model, as well as to test the hypotheses of the structural model. Findings reveal that environmental attitude serves as a significant driver of consumers' green purchasing behavior. Furthermore, a statistically significant relationship was identified between environmental responsibility and green purchasing behavior. However, no statistically significant relationship was found between environmental concerns and green purchasing behavior. Additionally, the relationship between individual green values and environmental attitude, environmental concerns, environmental responsibility, and green purchasing behavior was statistically insignificant. To leverage these insights, companies should cultivate a positive image of environmental responsibility for their products through strategic branding initiatives. This approach could enhance consumer support among those who prioritize the purchase of environmentally friendly products.

Dr Saeedeh Fakhari,
Volume 25, Issue 79 (12-2025)
Abstract

Investigating the awareness of the local community towards the development of ecotourism is very important and necessary for future planning. Ecotourism in any region affects the lifestyle of local people and their economic-cultural conditions. On the other hand, ecotourists are also influenced by the culture of the host society and its values. Therefore, this study examines the local community's awareness of supporting ecotourism development in Damavand City. Due to the preservation of unique biological diversity, climatic conditions, and the frequent visits of tourists and ecotourists to this region, the local community needs to know about ecotourism, which made this research necessary. The target community of this study is the local community of residents of Damavand city. Therefore, using Cochran's formula, the sample size was estimated to be 384 people. The data was collected through a researcher-made questionnaire, which was used to determine its validity, in addition to seeking opinions from experts (face validity), convergent validity was used. To calculate its reliability, Cronbach's alpha method and composite reliability were used. The results of the inferential statistics that were conducted using confirmatory factor analysis (Smart PLS software) showed that the four components of the research (local community awareness, economic poverty, cultural poverty, and ecotourism development) have homogeneity and reliability, and the awareness of the local community It has a significant relationship on the development of ecotourism with the mediating role of cultural poverty with the test statistic value of 4.195 and economic poverty with the test statistic value of 5.397. The results showed that the awareness of the local community on the development of ecotourism with the test statistic value of 2.032 indicates the low level of awareness of the local community towards the development of ecotourism.

Hadiseh Gheysari, , Hosein Kalantari,
Volume 25, Issue 79 (12-2025)
Abstract

A viable solution to address the challenge of urban poverty in the worn and inefficient contexts of the metropolis of Ahvaz is to reform its structures by integrating poverty-reducing policies into urban planning for the future. Sustainable regeneration has been identified as one such strategy. The premise that substantial capital investment in neighborhood regeneration can enhance the overall conditions of the neighborhood poverty system underscores the critical need to organize economically focused spaces within targeted poverty zones.
Utilizing the normative futures study method, three types of uncertainty scenarios—critical, middle, and desirable—were developed through a Delphi survey for each of the five strategic drivers of the research that can be managed, modified, and monitored throughout the sustainable regeneration process. The sustainable regeneration plan for urban neighborhoods was conceptualized with poverty-reducing policies tailored to each of these five strategic drivers, guided by thematic macrotrends.For each technical area, the key impacts of future-oriented economic interventions aimed at regenerating the targeted neighborhoods were identified and outlined. Based on these dimensions, policies were proposed in the form of thematic actions aligned with desirable scenarios to enhance the status of the five strategic research drivers. This, in turn, aims to reform the structures of urban poverty and improve the overall conditions of the poverty system in the targeted neighborhoods.as a result, The failure of Iran's urban regeneration programs in resolving stakeholder conflicts is rooted in many structural weaknesses related to the procedures and methods of preparation and implementation of these programs. Therefore, a mechanism should be provided in the process of preparing urban regeneration plans, which, in the first step, should pay attention to the dynamic, multidimensional and complex nature of conflicts in the stages before, during and after the implementation of the project, and then identify the conflicts of the beneficiaries in the very early stages. to control.

Kiomars Khodapanah, Arasto Yari,
Volume 25, Issue 79 (12-2025)
Abstract

Water resource management, during the development of its conditions and scope, is subject to various dimensions and constraints. Therefore, identifying the contributing factors for sustainable water resource management is essential for optimizing its use. This research focuses on the central rural areas of Ardabil County, examining farmers' perspectives on the factors influencing the management of sustainable water resources (including Sharif Baigloo, Hakim Gheshlaghi, Sham Asbi, Vakil Abad, Omidche, Pirghavam, Aghbalagh Rostamkhani, Gharelor, and Gilandeh). This study employs a descriptive-analytic approach with an applied focus and utilizes quantitative methods. The statistical population consists of heads of farming households in the central region of Ardabil County. Seven dimensions were considered, encompassing 72 components, with a calculated sample size of 349 participants. The sample distribution across the villages was conducted randomly and proportionally to the size of farming household heads in each village. Smart PLS software was utilized for analysis. The initial assessment of the measurement model demonstrated a good fit, with 68 components exhibiting impacts above the factor of 0.5. The results of the structural model indicated significant structural relationships between sustainable management and economic, social, productivity, technical, educational, and institutional factors. Furthermore, the coefficient of determination (R²) exceeded the threshold of 0.26 for all dimensions, indicating strong relationships. Specifically, the lowest R² for the economic dimension was 0.299, while the highest value for the productivity dimension was 0.511.  These findings suggest that revising perspectives on agricultural water management, with a shift towards an integrative, participatory approach focused on optimal management while considering economic, social, technical, educational, and other relevant dimensions, is crucial for achieving sustainable water resource management.

Somayeh Jahan Tigh Mond, Dr Mostaf Hadavand Mirzaei,
Volume 26, Issue 81 (6-2026)
Abstract

The development of nature-based tourism is dependent on the introduction and attention to the attraction of natural tourism attractions. In fact, identifying the factors affecting the increase in the attractiveness of ecotourism and geotourias places is among the most important issues in the development of tourism and naturalization of an area. According to this, the purpose of the present paper is also to investigate the factors affecting the attractiveness of tourist and geotorrhean locations in the study area. The present research is applied in terms of purpose and in terms of its method, descriptive-analytic. The data collection tool and information questionnaire and interview are. The statistical population of the research is experts and specialists in Tourism in Khorramabad in Lorestan province. In this research, 50 experts and natural tourism specialists were selected as samples. The research results indicate that four factors of ecotourist and geotourist tourism products, natural assets, and development of tourism infrastructure and create opportunities of nature-centered tourism boom are the most important factors in increasing the attractiveness of tourist places and geotorrhea. Also, the results showed that the strengthening of regional tourism infrastructure, private sector investment in tourism and the recognition of natural tourism capacities and tourism attractions, and planning for its development, are the most important strategies for development of natural tourism in Khorramabad.

Mrs Arezoo Momenian, Dr Morteza Mirgholami, Dr Azita Balali Oskoyi, Dr Aida Maleki,
Volume 26, Issue 81 (6-2026)
Abstract

Considering that more than one third of energy consumption is related to residential areas, proper planning and design of neighborhoods according to the climatic conditions of each region can be an effective step towards reducing energy consumption. It aims to optimize energy consumption in the residential blocks of Rushdieh neighborhood in Tabriz. Investigating and understanding the energy consumption situation in Rushdieh neighborhood of Tabriz, its capabilities and bottlenecks in planning is very important, if they are not paid attention to and there are no efficient strategic plans, it will lead to an increase in social, economic and environmental instability. According to its nature, the research method is descriptive-analytical and practical in terms of purpose. It is related to the intended goals of the research, the statistical population of the research is the professors, experts and elites of urban planning, which has been used to examine the indicators and strategies. The method of selecting people was targeted and snowball. Finally, the results showed that the formulation of policies, practical measures to improve the design of main roads and local accesses in the direction of neighborhood air conditioning should be emphasized as the most important strategy. In order to reduce energy consumption, the development of neighborhood design policies and residential blocks with the goals of using wind energy to reduce energy consumption have been placed in the second and third ranks of this prioritization, respectively.

 
- Zahra Ghorbanalimezerji, - Hamdollah Sojasi Qedari, - Khadijeh Bozargomehri,
Volume 26, Issue 81 (6-2026)
Abstract

Religious events in a region show the beliefs and sanctity of that place by humans; Rituals and celebrations can have economic and social benefits for the region. Therefore, by examining and analyzing the economic and social effects of events, it is possible to help organize better and more diverse events and tourism in the region. Therefore, in this research, the main goal is to evaluate the impact of religious events tourism on the social and economic dimensions of villages. The current research is descriptive-analytical in terms of methodology and practical in terms of purpose. The statistical population studied consisted of 323 heads of households living in 6 selected villages that organize religious events in Nishabur county and new county of Zabarkhan. SPSS software was used to analyze the findings. The findings of the research show that the highest average belongs to the social dimension with an average of 1.94. Also, the analysis of factors using chi-square (x2) and inferential statistics, normality, one-sample t-test, analysis of variance, Friedman, independent t-test were used. The tests showed that the social and economic effects of tourism of religious events in the studied villages are low, and the people of the region considered the ideological and spiritual nature of the event and did not pay attention to its tourism characteristics. Therefore, it is suggested to provide the necessary infrastructure for holding religious events in rural areas as well as possible, and to conduct more researches in this connection, as well as to create a suitable economic environment and increase employment during events, to prepare brochures or resumes for introduction. area or local event to be addressed.
 
Hossein Asakereh, Mansureh Taheri,
Volume 26, Issue 81 (6-2026)
Abstract

One of the climatic characteristics of temperature is the occurrence of extreme temperature. In the present study, the trend of hot days with extreme temperature associated with the coastal plains of the Persian Gulf was investigated. Two environmental and atmospheric databases were used. Environmental data include the average of daily maximum temperature reported from 12 synoptic stations in Persian Gulf coastline (Khuzestan, Bushehr, and Bandar Abbas Provinces) from 1961 to the end of 2018. The extreme temperature for each day temperature was defined to be higher than the average of 75th percentile of the observations at each station and on the same day. Also, the ‘day with extreme temperature’ was applied to a day when the extreme temperature occurred in at least 50% of the stations. The number of hot days with extreme temperature in the study is 554 days, of which 291 days occurred in the warm season and 263 days in the cold season. These days were classified into six groups by performing cluster analysis on sea-level pressure in hot days. Then, for each group, the trend of hot days was examined. In general, it can be concluded that the slope of the line in all groups except the fourth and sixth groups were positive and, as a result, hot days with extreme temperature were increasing.
Professor Keramat Ollah Ziari, Mr Amin Mahmoudiazar, Mr Khalil Jangjoo, Leila Aslani,
Volume 26, Issue 81 (6-2026)
Abstract

One of the issues raised in the developing countries of the world is the issue of reducing damages caused by natural and man-made hazards. Various theories and paradigms such as crisis management and resilience have been proposed to reduce the level of risk vulnerability. Among the mentioned vulnerabilities is physical vulnerability. Now, the most important question that is raised in this research is whether according to the various studies that have been done in the field of physical vulnerability, apart from objective measures, the level of satisfaction of the residents has also been examined and whether it exists. Is there a relationship between objective and subjective indicators in this field? The case study studied in this research is Region 4 of Urmia City, which has a problematic context. This research is of an applied type and its method is descriptive-analytical, to examine this objective and subjective relationship of physical vulnerability, first objective variables were examined using spatial analysis and then subjective variables were examined using a Likert scale. questionnaire. And finally, this relationship has been measured using Pearson's correlation coefficient. The research results indicate that according to the correlation coefficient of 0.623 between subjective and objective variables; There is a significant relationship between the objective view (reality on the ground) and the subjective view (satisfaction of residents) in the field of urban physical vulnerability indicators.


Page 12 from 13     

Creative Commons License
This work is licensed under a Creative Commons — Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)