aida maleki

Problem statement: 

Light is the primary parameter in establishing a visual relationship between humans and their surroundings. Without it, many of our daily activities would not be possible in modern conditions. Studies indicate that daylight conditions in various indoor spaces influence the emotional responses of occupants. Since people today spend most of their time at home and in indoor environments, and they have both physical and psychological needs for daylight, architects must have the necessary knowledge about daylight and its relationship with emotional responses. However, studies in this field are limited, and existing research has been conducted in different geographic latitudes with varying lighting qualities.

This study aims to identify the key daylight factors affecting the emotional responses of residents in Tabriz city, examining the influence of gender, age, and housing type. Additionally, it explores the impact of window orientation and dimensions on residents’ emotional responses.

This study employed a survey research method and image processing of a sample residential unit in Tabriz using the Revit software in a simulated environment. The standardized Pratt and Russell questionnaire was used for assessment. Demographic characteristics, experimental conditions, and participant perceptions were then analyzed.

Results indicate that two factors—window size and orientation—significantly impact residents’ emotional responses. In the north and east orientations, increasing window size generally enhances residents’ vitality. However, in the south orientation, increasing window size tends to reduce overall vitality. Additionally, there is a minor significant relationship between gender, age, and emotional responses to daylight. The type of housing does not affect emotional responses to daylight.

Natural biological crises are a constant threat to human societies; Therefore, it is considered important to be prepared to control and prevent such disasters. In dealing with such urban crises, addressing the category of non-pharmacological interventions against infectious diseases can be a way forward. Therefore, the aim of the current research is to find the main effective indicators in the epidemic and to explain the environmental components resulting from the interaction and correlation of the relevant measurable indicators at the locality level based on previous environmental studies. In this research, in order to obtain a community of opinion about effective indicators in epidemiological crises, a systematic search was first conducted using the keyword of pandemic resilience. For this purpose, several widely used databases such as Web of Science, Scopus and Elsevier were searched between 2013 and 2023. After checking the quality of the conducted researches, 42 indicators were selected. Further, in order to find out the underlying variables and identify the basic factors or criteria in order to explain the correlation pattern between the observed variables, the exploratory factor analysis method was used and SPSS version 26 software was used to analyze the data. Data from 118 Tabriz neighborhoods were used for exploratory factor analysis. After collecting the data, the process of change, standardization has been done to prepare the data and convert the raw data into percentage, growth rate, average and ratio. Then, the status of urban resilience components against epidemic diseases was calculated and normalized separately based on factor load for each neighborhood. Finally, the results were illustrated using Arc GIS software. The findings of the research indicate that 42 indicators affecting the spread of epidemic diseases at the level of localities can be re-categorized into 8 components of accumulation, diversity and design, social factors, density, economic factors, health infrastructure, environmental pollution and green spaces. Also, based on the findings, it can be said that the condition of most of the components in the neighborhoods of Tabriz city is at an average level. Based on the results, the effects of environmental factors on the transmission of Covid-19 are differentiated spatially. These components represent more than 82% of the changes in effective environmental factors.

The complexity of the design and the abundance of aspects that must be considered simultaneously by designers make it necessary to pay attention to different variables, which leads to the optimization of different functions. Other results of studies in this area are the identification of different variables. This study aims to investigate the effects of the dimensional variables and the ratio of area to volume of the classroom on the visual and thermal comfort of the users. For this purpose, the performance of the model in terms of the variables of and thermal comfort was investigated based on the weather data of Tabriz city using the simulator plugins Honeybee and Ladybug and the optimization plugin Octopus based on the evolutionary algorithm. The results of the survey show that the area-to-volume ratio of desired classrooms ranges from 1.16 to 1.69. The outcomes deemed optimal for the objectives of glare probability and daylight autonomy suggest that the most favorable solutions lie within the lower range of the surface area-to-volume ratio. Conversely, concerning comparative thermal comfort, the optimal solutions are found within the upper portion of the aforementioned range.

The challenge of determining the most appropriate method for spatial analysis has long captivated the attention of researchers. Many spatial studies rely solely on either quantitative or qualitative research methods and techniques, yielding insights that only scratch the surface of spatial characteristics. This research aims to conduct a comparative analysis of two spatial arrangement methods one focusing on spatial structure and the other utilizing the "Project for Public Spaces" (PPS) approach, which emphasizes environmental quality through defined indicators such as sociability, accessibility, uses and activities, comfort, and image. Additionally, this study explores the feasibility of concurrently utilizing these methods to comprehensively assess the quality of the studied location. The rationale for selecting these methods includes their efficiency, widespread usage, and ability to accommodate both quantitative and qualitative approaches. The historical market of Tabriz city serves as the focal point for measuring spatial quality, serving as an architectural and urban design indicator. Quantitative values derived from the spatial arrangement method encompass coherence, connection, and comprehensibility. The findings of this study revealed discrepancies between the outcomes of these two methods. While PPS evaluated environmental factors in the market based on user feedback regarding socio-cultural impacts, the space arrangement analysis aligned with assumptions about individual behavior in relation to the market's physical structure. Compared to the spatial layout, which primarily assesses mobility and user movement through morphological indicators, PPS, by considering human factors, more accurately reflects the livability of market spaces. In conclusion, the integration of these two methods presents a novel alternative approach for obtaining comprehensive and reliable results in measuring space quality.

Using the components and indicators of urban resilience as an approach that helps cities to maintain or quickly return to optimal functions in the face of a crisis, can reduce the damage caused by the spread of pandemic diseases in cities and preserve the functions of different aspects of urban life. For this purpose, the aim of this research is to know the dimensions, components and indicators that are effective on urban pandemic resilience based on the approach of systematic review of past researches.

The systematic review method includes the stages of definition, search, selection and analysis. The process of searching for sources related to the research took place in January 2023. The initial search led to the identification of 768 sources. Among these, 89 sources matched the research topic, and finally 51 articles were selected for the final analysis.

The findings of the research indicate that the research in the field of resilience against pandemic crises has started after the emergence of the Covid-19 disease, and most of the articles in this field have been published since 2021 and after that, and more than 80% of the studies are done in Asian countries and the European Union. Meanwhile, the countries of China, Iran and the United States have respectively allocated the highest number of studies. In total, 57 components and 151 effective indicators were identified in the field of urban pandemic resilience. The classification of the components extracted from the sources in nine dimensions of intelligence, infrastructural, physical-structural, socio-cultural, economic, institutional, managerial, environmental and the competence and competence of the communities is proposed.

Based on the results of the content analysis, it was found that the infrastructure and intelligence dimensions are among the most important areas for improving urban pandemic resilience.

Achieving spaces with high quality and efficiency to ensure the security and comfort of the human body and mind is one of the most important goals of sustainable architecture. The history of climate design in our country dates back to several thousand years ago. By studying the indigenous buildings in each climate, it is clear that they are designed entirely on the basis of climatic principles and in order to make maximum use of natural energy and deal with annoying cold and heat. The use of mechanical systems in today's architecture, along with providing comfort, has created negative environmental and economic consequences. While looking at the experiences of predecessors in indigenous architecture, the approach of improving the quality of architecture can be seen in creating spaces with the principles of climate design. One of the climatic design strategies for achieving thermal comfort in summer has been the creation of pond spaces in traditional houses with cold climates. In this research, the space of the pool house “howz-khâne” and the role of water in it and it's relation on the thermal comfort of the residents of the pool house, a case study of the pool house of Qadaki house in Tabriz, has been studied Then, based on the maps and the existing situation, the case is modeled. The presence of details in the geometry makes the process of simulation and achieving results difficult, so simplifications and the integrity of the model have been considered. Therefore, in order to accurately estimate the results in this study, the Energy Plus simulation engine was used. The energy model was first created in the Grasshopper user interface, which is a graphical and parametric programming environment in Rhino software. In the modeling process, a simplified volumetric model of the summer residence of Qadaki House was generated using Rhino software's own tools and then converted into an energy model using the Ladybug plugin in the Grasshopper environment. The simulated thermal comfort was determined using temperature and relative humidity during the day, PMV comfort patterns, temperature sensation, PPD dissatisfaction percentage and biological thermal adaptation of individuals in summer for the zoning. Different zonings have been done in two modes of presence and absence of water in the pool house. The results of the simulations indicate that the presence of water has a significant effect on reducing the temperature and increasing the relative humidity, satisfaction and biological adaptation of the inhabitants.

How to design spaces in cities can have different effects on citizens. The objectives of this study can be to examine the impact of biophilic urban space on the stress of people.

The research method is quasi-experimental. The statistical population of the study consists of 20 bachelor and master students in the field of architecture and urban planning at Tabriz University of Islamic Arts in the academic year 1400. First, students' health was identified using a call announcement and a demographic questionnaire, and these individuals were quantified for stress with the help of a smart wristband while viewing images of biophilic and non-biophilic urban spaces with the help of virtual reality glasses.

Analysis of the results shows that the average change in stress of individuals while viewing non-biophilic images was approximately 5/2 units higher than biophilic ones in the second minute. p-Value is significant between individuals with education in biophilic state and rest in 1 minute and non-biophilic in 2 minutes. The difference between stress number in non-biophilic state and biophilic in 2 minutes is significant (p-value = 023/0) and shows the positive effect of biophilic approach on reducing stress that this efficiency can be considered in the design of future urban spaces.

Special attention of urban designers on the structure of spaces and the use of extraction measures from the biophilic model in different scales cause the design or organization of spaces that significantly reduce the stress of people living in cities

The purpose of this research is to evaluate the state of the city body in order to optimize energy consumption in Rashidiyeh neighborhood of Tabriz. According to its nature, the research method is descriptive-analytical and practical in terms of purpose. The statistical population consists of citizens living in Rashidiyeh neighborhood of Tabriz. The statistical sample size was calculated according to Cochran's formula of 384 people. Examining the results of the sample T-Tech test shows that all three physical indicators of the neighborhood, including mass, passage, and open space indicators, were significant at a level of less than 0.05. In this context, the index of open space with an average of 3.32 is in an average condition, and two indicators of mass and roads are evaluated in poor condition with an average of 2.59 and 2.52, respectively. The reasons for this condition are the lack of installation of building blocks in the direction of wind and light, lack of access to services, improper exterior covering of buildings in order to reduce energy, use of poor quality materials, lack of design of roads for air conditioning in the city, obstruction the view pointed to the sky and residential density. Finally, Pearson's correlation showed that there is a relationship between the physical indicators of the neighborhood in optimizing energy consumption. The highest correlation is related to mass index with open space with a value of (0.785), which is considered a strong relationship.

Iranian vernacular architecture has a wide geographical scope and sustainability principles that need more than ever to be analyzed, reread and criticized scientifically and fairly. A reading that is the basis for improving the processes and methods of preserving these properties, the intervention method, achieving the cultural roots and architectural typology of Iran. As much influenced by natural factors, vernacular architecture also follows mental beliefs, local culture, and individual and social events. Cultural factors form the spirit that governs all spatial patterns of vernacular architecture and the event pattern embodied in them. Bearing this in mind, spatial patterns are influenced by event patterns and event patterns are also influenced by culture and nature, and consequently, vernacular architecture is considered a cultural manifestation. This study is the result of investigating the quality of interaction of cultural aspects and natural context and their impact on events and accordingly the vernacular architecture of Sar Aqa Seyyed village, in Koohrang county of Chaharmahal and Bakhtiari province. The main purpose of this qualitative research is to identify and present a model-based framework for analyzing the vernacular architecture of Sar Aqa Seyyed village to determine the event patterns and spatial patterns shaping it and the relationship between them by investigating the cultural patterns and the natural context of the case study. The research question is how spatial patterns relate to people's beliefs, cultural roots and natural limitations, as well as how they occur in the physical structure of the village. The study was performed by a descriptive-analytical method through field observations, objective studies and analytical sketches as well as in-depth interviews in order to identify the constituent patterns of the target village. The results indicate that the event patterns are objective manifestations of cultural and natural factors that are displayed in the form of spatial patterns.

Air pollution is one of the problems of the present century all over the world. The aim of this study was to identify the major pollutants in Tabriz, District 8, and analyze their spatial distribution and investigate its relation with some components of man-made environment. To study the distribution of pollutants in the research area, information about the concentration of pollutants was measured by mobile equipment at 11 predetermined points between 10:00- 20:00 in different times and different days in June 2021 and with GIS software and distribution maps were extracted. The generated maps showed that the concentration of pollutants is directly related to the density of commercial land use and consequently the increase in traffic volume. To find the relationship between pollution concentration and urban typology, information about urban design components was extracted by using GIS software and the correlation coefficient between the concentrations of pollutants and the mentioned components was investigated. The results also showed a significant relationship between the concentration of suspended particles and the visibility factor to the sky as well as the density of building mass in the region. The concentration of carbon monoxide with the ratio of green space at the measuring points was inversely related and the pollutants NO2, SO2 and CO showed a significant relationship with the ratio of surface to unstructured and in fact building density. In addition, the relationship between the concentrations of pollutants with each other was also examined, indicating a strong direct relationship between the concentration of suspended particles (PM10 and PM2.5) together and the concentration of NO2, SO2 and CO with each other. In general, it can be concluded that the typology of the city plays a significant role in intensifying or adjusting the concentration of some air pollutants, and in critical areas, the air quality of the area can be improved to some extent by controlling urban design variables.

Climate change, especially the heating trend in recent decades, has increasingly affected human health and increased heat-related mortality and morbidity, mainly in cities. Implementing mitigation and adaptation strategies to climate change by managing blue-green infrastructure (BGI) can reduce the consequences of these changes. The research hypothesis is that increasing the BGI per capita in different city districts will reduce the temperature and the number of heat-related patients.

This paper aims to compare the effect of two indicators of BGI to decrease temperature and health risks.

We chose Qazvin city as the case study, and selected heat-related diseases, heatstroke, cardiovascular disease, stroke, and respiratory (dependent variables). After that, the numbers of monthly ambulance calls for the four mentioned diseases (April 2018 to August 2020) were analyzed in all six Qazvin districts. Next, MODIS data were used to conduct Qazvin's surface UHI  map during the mentioned period and show the BGI distribution on the city map, NDVI, as well as calculate the per capita and the percentage of the area of BGI (independent variables) in each city district by GIS. Then, We conducted a linear correlation analysis with the dependent and independent variables and employed Spearman's Rho as the correlation measure.

The results show an inverse correlation between BGI per capita and the number of ambulance calls for cardiovascular, stroke, and respiratory diseases. Molavi and Ferdowsi districts with the lowest BGI per capita and highest land surface temperature (LST) have the most patients, and Pardi's district with the highest BGI per capita and lowest LST have minimum patients. Such correlation is not valid for the percentage of the area of BGI. Therefore, urban landscape planning should pay more attention to the most densely populated districts to reduce health inequality due to climate change.

The urban heat island phenomenon is one of the challenges with which most metropolises have been struggling due to unplanned city expansions. Multiple factors have led to the emergence and escalation of this phenomenon, which can be classified into three main categories: the macro-climate of the region, materials used at urban fabric and urban texture. Various suggestions have been given by experts in this area to reduce the severity of this phenomenon and improve the urban microclimate. However, as the phenomenon is different in each city or metropolitan area, various location-specific solutions will be offered to reduce the factors contributing to the phenomenon. The study uses satellite data, including images of the Landsat satellite on July 18, 2015, as well as the overnight satellite images of Modis and the GIS, along with land data from the metropolitan weather stations closest to the selected simulation area where thermal islands were examined. In this regard, the extent of the impact of different uses on the formation and severity of thermal islands in Isfahan was investigated. Based on the findings, applicable suggestions in the field of urban activity are made with an emphasis on the green space.
In this paper, on the city level, the main green spaces including green spaces of urban streets and different types of urban parks were examined with regard to their geographical location in terms of the three categories of surface temperature (approximate 24-35°C, 35-40°C, and 40-51°C) and the applied map of each of these categories were developed. Accordingly, at the city level, the temperature in 10% of urban green spaces was above the normal, the temperature in 15% of urban green spaces was in the normal range, and the temperature in 3% of these spaces was lower than the nornal range.
The Abbas Abad area was studied in terms of urban usage through a simulation of the effect of green spaces, especially green spaces on the boundaries of the roads on the urban microclimate. This area is one of the areas with the most abundant, old green space in the city. In this regard, an urban green space with old trees was selected in the historical fabric of Isfahan and was modeled using Envi-Met. The simulation results for summer 2015 indicate that, despite the close proximity of the three selected points, about 1°C of difference is seen in the temperature of the three spots. The proximity of the water bodies, and green spaces in particular, is one of the main factors. Additionally, the ground data follows the pattern of simulations points as well. Therefore, different scenarios are proposed for the presence of green spaces and evaluated through simulation. The results of this paper show that small green spaces, if designed based on scientific principles, can have a good effect on the thermal effects of heat islands on the small scale. Also, because of the large scale of urban areas, the combined methods proposed in this study can lead to the application of measures to reduce the negative effects of heat islands for urban management.