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Showing 11 results for Tabriz City
Volume 2, Issue 4 (4-2021)
Abstract
Problem statement: In fact, urban streets as the most important part of the urban landscape structure, reflect the values and socio-cultural relations of citizens and can well facilitate or influence the possibility of living in the city and social interactions. Therefore, moving towards vibrant urban spaces is even more necessary in cities, despite the dynamic and human-centered public spaces that provide the ground for the active presence of human beings in the environment. Aim: The purpose of this study is to evaluate the role of humanistic urban landscape in the vitality of Tabriz city streets from the perspective of citizens.
Methods: The research is descriptive-analytical with an applied purpose. Snowball method was used to determine the sample size. SPSS software and ANP method were used to analyze the data. Results: The results obtained from the final analysis of selected research spaces based on humanistic landscape components and quality of life show that the range of Shariati to Ghonga intersection with a normal weight of 0.498 is more consistent with the extracted qualities.
Conclusion: The final results of the weights showed that the highest average goes back to the criterion of biological urban elements and the views of the streets of Tabriz affect the perception of citizens and their interpretation and reading of the environment. Also, the results obtained from the final analysis of the selected spaces of the research based on the components of humanistic perspective and quality of vitality, are more in line with the extracted qualities.
Volume 3, Issue 1 (7-2022)
Abstract
Statement Problem: To achieve sustainable development of urban areas, one of the key aspects is the possibility of monitoring the quality of life in all its dimensions, namely social, economic and environmental dimensions, which requires the implementation of tools that can identify the main dimensions of human satisfaction.
Aim: The main purpose of this study is to evaluate the well-being and quality of life of people in the city of Tabriz based on the basic components with reference to the theory of "age" capabilities.
Methods: Descriptive analysis was performed using a questionnaire. The statistical population of the study was the population of Tabriz, whose sample size was 382 based on the Cochran's formula. For data analysis, structural equations were used by exploratory method and second-order factor analysis using Amos and Spss software.
Results: The results showed that the main determinants of mental well-being in the field of personal perceptions, economic conditions, security, environmental quality and educational opportunities. Welfare conditions in regions 7, 9 and 6 are very low, while in contrast, 2, 1 and 5 showed the highest levels of welfare among the regions of Tabriz. By focusing on area 7, it can be seen. This area shows the lowest values for the three main dimensions of the four main dimensions of welfare, which seems to be significant.
Conclusion: As a result, in order for the city residents to reach the desired level of welfare and quality of life, double attention should be paid.
Volume 3, Issue 1 (7-2022)
Abstract
Statement Problem: Public service management in urban areas has become a determining factor in attracting and organizing the population. Proper management of this is essential to achieving citizen satisfaction. Meeting the expectations of people visiting a city is very important, because it can be decisive in deciding to stay in that place. Citizens' attachment to a city depends on adequate provision of public services.
Aim: This study examines the mental factors affecting citizens' satisfaction with municipal services. Three factors are considered: attachment to the place, quality of life and communication between the municipality and the citizens.
Methods: This study is based on qualitative and quantitative analysis. The conceptual framework has been developed using structural equation modeling (SEM).
Results: The results showed that communication has the greatest impact on public service satisfaction (total direct and indirect effects= 0.938), followed by quality of life (total effects= 0.315) and finally, attachment to the city (Indirect effect= 0.256) are.
Conclusion: Therefore, municipalities in order to communicate more efficiently and faster with citizens in Tabriz should use technological systems and create the necessary activities on them so that they can communicate effectively with citizens. In addition, public institutions should not use these tricks for irregular events or limited time periods such as elections.
Volume 3, Issue 3 (10-2022)
Abstract
Statement problem: Today, due to contradictory approaches and lack of proper orientation, it has unfortunately created inappropriate urban facades and destroyed physical identity in Iranian cities.
Aim: To evaluate the factors affecting the identity of the anatomical views in the historical area of Tabriz city.
Methods: The analytical-inferential method was used. The statistical population was two groups of building users and experts. Structural equation method with Smart Pls software was used to collect information. Results: According to the users, the greatest impact on the physical identity of the facades of the historical context of Tabriz city is related to the destruction of historical facades and personal taste, order and harmony, and the least is related to the corner and the connection line to the ground. According to experts, the most effective is related to human scale and size, facade materials and personal taste. The lowest is related to the corner and connecting line. In the end, both groups were unanimous in the field of least impact, i.e. the criterion of the corner and the line connecting to the ground.
Conclusion: All the examined components have been effective on the anatomical identity of the historical fabric of Tabriz city. Considering the close relationship between physical identity and urban views, it can be said that with proper management of views, tangible physical identity can be achieved.
Volume 4, Issue 1 (4-2023)
Abstract
Aims: With the onset of Covid-19 in the world, one of the crises that has arisen in the field of tourism industry, which in turn has affected the quality and well-being of the lives of residents in tourist areas, among which it is very necessary to pay attention to the social effects of tourism. The present research aims to measure the social effects of tourism on the quality of life in Tabriz city with the onset of Covid-19.
Methods: The current research is descriptive-analytical and survey. The statistical population of the research is the population over 18 years old in Tabriz city. Structural equations (EMS) with Amos and SPSS software were used for data analysis.
Findings: The findings show that interpersonal trust, attachment to place, understanding of social effects and Covid-19 have the greatest effects on the quality of life of residents with the effect coefficient of 0.825, 0.801, 0.735 and 0.711 respectively. The city of Tabriz has had in terms of tourism.
Conclusion: As a result, when people enter a place (tourism), they choose social behavior and environmental behavior to protect the place in order to help its practical purpose (tourism benefits) and thus They support the development of tourism. This, in turn, can play an effective role in realizing other key goals of stability, well-being and improving the quality of life of the residents of Tabriz during the time of Covid-19 and epidemics and after.
Methods: The current research is descriptive-analytical and survey. The statistical population of the research is the population over 18 years old in Tabriz city. Structural equations (EMS) with Amos and SPSS software were used for data analysis.
Findings: The findings show that interpersonal trust, attachment to place, understanding of social effects and Covid-19 have the greatest effects on the quality of life of residents with the effect coefficient of 0.825, 0.801, 0.735 and 0.711 respectively. The city of Tabriz has had in terms of tourism.
Conclusion: As a result, when people enter a place (tourism), they choose social behavior and environmental behavior to protect the place in order to help its practical purpose (tourism benefits) and thus They support the development of tourism. This, in turn, can play an effective role in realizing other key goals of stability, well-being and improving the quality of life of the residents of Tabriz during the time of Covid-19 and epidemics and after.
Volume 4, Issue 3 (12-2022)
Abstract
Smart city is the use of ICT-based governance and is now a widespread trend around the world. Using smart cities is expected to be more effective in managing complex, diverse urban problems resulting from rapid urbanization. However, in its implementation, many fundamental problems significantly affect the success of the implementation of smart cities, including the lack of adequate human resources, technology policies, etc. have not been effective. The purpose of this study is to identify the factors affecting the formation of smart city in the city of Tabriz. The method of the present research is descriptive- analytic. The sample size is 384 residents of Tabriz. Structural equations with SPSS and Smart PLS software were used to analyze information and data. The findings showed that studied indices have a significant relationship with the smart city at the level of 95% confidence that among the studied components, the most influential one on the smart city is the smart citizen index (SC), smart government (SG), smart life (SL) with extracted coefficients, respectively with 0.899, 0.825 and 0.799, based on the structural model of the research. The goodness of fit index is higher than 0.50 equal to 0.78, which indicates the optimal fit of the research. As a result, 6 indicators including smart economy, smart people, smart government, smart mobility, smart life and smart environment have been effective in the formation of smart city, and the realization of these factors will lead to the success of Tabriz smart city.
Volume 4, Issue 4 (2-2024)
Abstract
Problem: Residents of residential complexes in urban areas face all kinds of sounds every day. Most of these hundreds are very noisy and painful in traffic centers.
Target: The aim of the current research is to evaluate the satisfaction of the residents of Tabriz railway neighborhood from the perspective of environmental acoustic comfort.
Method: The current research method is descriptive-analytical with practical purpose. The statistical population of the research is 32,936 residents of the Tabriz railway neighborhood. The sample size was 380 people using Cochran's formula. For the validity of the questions, face validity was used and Cronbach's alpha was used for reliability. To analyze the data, structural equation method and TOPSIS and FTOPSIS techniques from Spss and Amos software were used.
Result: The results showed that among the factors affecting the acoustic comfort of the residents of the Tabriz railway neighborhood, the physical index had the greatest impact, followed by the acoustic and social indicators. Also, the results showed that in terms of the ranking of the koi in terms of acoustic comfort in terms of noise pollution, Ittahad alley got the highest noise pollution, followed by Niloufar alley and Shaghaig koi, the second and third respectively As a result, with proper design and use of form, facade and materials in terms of architectural acoustics, noise pollution can be reduced to a great extent in Tabriz Railway neighborhood and help to improve the quality of acoustic comfort of the residents.
Volume 5, Issue 3 (9-2024)
Abstract
Problem: The historical areas and centers of the city of Tabriz contain precious treasures of human historical and cultural works. In order to prevent the reduction of the importance of these historical centers, it is necessary to implement regeneration plans. that the implementation of tourism projects can lead to the re-prosperity of the eight city of Tabriz.
Aim: Promote the tourism development of urban historical-cultural places by recreating the historical-cultural contexts of zone 8 of Tabriz city.
Methods: The current research method is descriptive-analytical, and library studies and a researcher-made questionnaire were used to collect data. The statistical population of the research includes the entire population of the eight zone Tabriz, and based on the Cochran formula, the sample size was 375 people. Exploratory factor analysis methods along with multivariate regression method were used for data analysis.
Findings: Based on the results of the research, four basic factors were discovered and the results showed that all regeneration factors involved in the development of tourism have significant relationship with the promotion of tourism in the historical-cultural places of Tabriz, and according to the socio-cultural factors (0.612), Physical factor with (0.507) and architectural quality index with (0.462), economic factor with (0.325) and environmental factor with (0.296) have the most to least effect in promoting tourism development.
Conclusion: As a historical context with an approach to urban tourism in historical-cultural places, the eight zone has opportunities and strengths that can help to create lively spaces and tourist-friendly places by relying on them.
Mehdi Maerefat, Asgar Minaei,
Volume 16, Issue 10 (1-2017)
Volume 16, Issue 10 (1-2017)
Abstract
In the present study, the direct utilization of borehole as a heat sink for both residential and office building is investigated in Tabriz city. The effect of external wall insulation and windows glazing is studied in the form of four cases and the performance of the ground sink direct cooling system is investigated for these cases. The borehole design depth is calculated by analytical method. Both sample residential and office buildings are investigated. The borehole design depth depends on the quality of the building design and its heat emission. The results show that using double glazed windows, compared to single glazed windows reduces the borehole design depth by about 10 percent. Also the utilization of insulation in external walls and roof decreases the borehole design depth more than half compared to buildings without insulation. Finally, the potential of the ground sink direct cooling in sample residential and office buildings is investigated for four cases. The results show that by using ground sink direct cooling system, thermal comfort is satisfied in almost all of the cooling hours in both sample residential and office buildings.
Asgar Minaei, Mehdi Maerefat,
Volume 16, Issue 10 (1-2017)
Volume 16, Issue 10 (1-2017)
Abstract
In this paper, using of the spherical ground storage tank as a heat sink for cooling of the residential and office buildings in the climatic condition of Tabriz city is studied. For computing the heat transferred between the underground storage tank and the soil around it a new analytical solution is presented. Inside the storage tank, the analogy between thermal and electrical conduction is used for deriving heat balance equations. In ground around the storage tank, the transient conduction heat transfer equation in spherical coordinates is considered. The Sample building envelope is simulated in EnergyPlus and the storage tank and fan coil is simulated in Matlab software. Finally the building and the underground storage tank is linked together and the performance of the direct cooling system is investigated. Results show that the dimension of the storage tank has significant effect on the comfort condition of the building. For a building there is an optimum diameter that thermally discomfort hours is minimum. With decreasing the storage tank optimum diameter the discomfort hours increases significantly. Using storage tank with larger diameters than optimum diameter the discomfort hours increases very slightly. Also results shows that the optimum diameter for office building is lower than the residential building.
Volume 26, Issue 1 (5-2022)
Abstract
Introduction
Lack of essential services increases the need for mobility and relocation in rural areas and makes people travel to meet their needs. The need for mobility along with the absence of public transportation services, while prolonging travels, has affected travel demand and flow, so that people use several vehicles in a travel chain (origin-destination) (Stfen and Hunt, 2006: 104). Various spatial factors affect the flow, destination and volume of trips, which can be shown by spatial analysis and modeling as one typical method to do this. Spatial statistics tools include a set of techniques and methods for describing and modeling spatial data. Use of spatial statistics helps us to increase the accuracy of results and observations in cases where the distribution or dispersion of data in space is complicated. In this paper, geographically-weighted regression and spatial modeling have been used to show the volume and travel flow in villages, and also the factors affecting them to determine, besides the origin and destination of rural travels, travel volume and their spatial distribution. The question is what factors are influential in the destination of these trips and their volume, and to what extent is the impact of each of these factors on the frequency of rural travel demands.
Methodology
The present article is a descriptive-analytical method with a practical purpose and the data is collected both in the field and from the existing documents. In the documentary section, some data were collected from 1390 and 1395 censuses and some other using questionnaires. The statistical population of the study were all rural households in Tabriz County, where a researcher-made questionnaire was used to obtain travel information. Since the number of households amounted to 33379 families, using the Cochran formula 320 sample sizes were selected and questionnaires were randomly distributed between rural households. Given that the primary purpose of this study is to model the spatial pattern of passenger flow in space and time, so that the spatio-temporal mobility of passengers in the road network can be seen, three components including the extraction of passenger travel pattern (Origin-destination), determination of the travel routes, and the factors affecting these trips were identified. In the first step, the data obtained from the questionnaire were processed to model and plot the travel pattern (origin-destination of trips). For this purpose, it was necessary to identify the villages with and without bus stations and public transportation servicesas well as the travel routes of passengers. The next step is modeling the travel patterns and flow of passengers. In this study, ArcGIS software was used to show the flow of travel. This mapshows the direction of movement and the volume of the flow adjusted by line widths. Using the simulated travel routes, a flow matrix was obtained from the travel volume among all villages, small towns, and Tabriz city. Then, to investigate the dominant pattern of the travel demand, spatial autocorrelation analysis (local Moran pattern) and hot spots were used to determine the pattern of space travel distribution. Finally, in order to reveal the most influential factor affecting travel demand as the independent variable, a geographically-weighted regression model was formed and the relationship between travel and such indicators as demographic, economic, and social factors were analyzed and modeled.
Results and discussion
Initially, the data collected from the villages were entered into the ArcGIS software to obtain the origins and destinations of the passengers, their travel directions, and the way their travels were distributed. Then, using Spatial analyst tools, the direction and spatial distribution of trips were obtained by a straight line as an Origion-Destination matrix for short-term trips to Tabriz city. The results showed that many trips were made outside the countryside to the city of Tabriz, and some of these trips were made to large villages and small towns. According to the data extracted from the questionnaire, many of these trips are made by car or taxi because many of these villages are on the roads where public transport does not pass through.
Hot spot analysis has been used to identify villages with high travel rates. The results obtained from the analysis of hot spots indicate that the main places of travels are mostly in the villages of Maidan Chai and Aji-Chay, which seems to be due to the access to public transportation services and the existence of villages with buses to Tabriz city in these rural areas. In the next step, in order to model and explain the effect of research variables on travel demand, GWR was used in GIS. According to the results of the analysis, the parameters of R2 and adjusted R2 are 0.8 and 0.75, respectively. This means that based on a geographically-weighted regression, the indicators considered at the 0.95 confidence level explain 0.80 of the trips and have acceptable accuracy in modeling the spatial relationships of the factors affecting the travel demands of individuals. In addition, the AICc value indicates a lower number, indicating a better fit of the observed data. Due to the different nature of the indicators, the effect of each of the indicators and factors on the amount of travels was investigated separately. The results show that the highest amount of R2 with a value of 0.72 is related to the access to the public transport, followed by the number of workers outside the village with a value of 0.70. Among these, the least influential factor is the total travel time to reach the destination with a value of 0.21, which indicates that people travel to access services and meet their needs regardless of the total time to reach their destinations.
Conclusion
The results of the study showed that several factors have affected the heterogeneity of travel demands in rural areas, which, according to the study, access to the public transport and people working outside the village have the most impact. In addition, most of daily trips to the city of Tabriz are done for business and by personal cars. These trips are based on hot spot analysis in Maidan Chai and Ajichay villages, where most of the villages near the city of Tabriz have access to the public transport (bus) and taxi. The short distance between these villages and the city of Tabriz, the existence of public transportation services in them, and consequently lower costs and ease of movement have caused the accommodation of the overflow of Tabriz in these villages and have increased the demand for travel in these villages, in such a way that during the day, the movement of travelers in these villages is the same as daily trips in the city of Tabriz, and educational, recreational, shopping, health, etc. trips are made from these villages to the city of Tabriz. In addition, the presence of several industrial towns and factories near the villages of Ajichai and Maidanchai has increased the number of business trips in these villages.
Lack of essential services increases the need for mobility and relocation in rural areas and makes people travel to meet their needs. The need for mobility along with the absence of public transportation services, while prolonging travels, has affected travel demand and flow, so that people use several vehicles in a travel chain (origin-destination) (Stfen and Hunt, 2006: 104). Various spatial factors affect the flow, destination and volume of trips, which can be shown by spatial analysis and modeling as one typical method to do this. Spatial statistics tools include a set of techniques and methods for describing and modeling spatial data. Use of spatial statistics helps us to increase the accuracy of results and observations in cases where the distribution or dispersion of data in space is complicated. In this paper, geographically-weighted regression and spatial modeling have been used to show the volume and travel flow in villages, and also the factors affecting them to determine, besides the origin and destination of rural travels, travel volume and their spatial distribution. The question is what factors are influential in the destination of these trips and their volume, and to what extent is the impact of each of these factors on the frequency of rural travel demands.
Methodology
The present article is a descriptive-analytical method with a practical purpose and the data is collected both in the field and from the existing documents. In the documentary section, some data were collected from 1390 and 1395 censuses and some other using questionnaires. The statistical population of the study were all rural households in Tabriz County, where a researcher-made questionnaire was used to obtain travel information. Since the number of households amounted to 33379 families, using the Cochran formula 320 sample sizes were selected and questionnaires were randomly distributed between rural households. Given that the primary purpose of this study is to model the spatial pattern of passenger flow in space and time, so that the spatio-temporal mobility of passengers in the road network can be seen, three components including the extraction of passenger travel pattern (Origin-destination), determination of the travel routes, and the factors affecting these trips were identified. In the first step, the data obtained from the questionnaire were processed to model and plot the travel pattern (origin-destination of trips). For this purpose, it was necessary to identify the villages with and without bus stations and public transportation servicesas well as the travel routes of passengers. The next step is modeling the travel patterns and flow of passengers. In this study, ArcGIS software was used to show the flow of travel. This mapshows the direction of movement and the volume of the flow adjusted by line widths. Using the simulated travel routes, a flow matrix was obtained from the travel volume among all villages, small towns, and Tabriz city. Then, to investigate the dominant pattern of the travel demand, spatial autocorrelation analysis (local Moran pattern) and hot spots were used to determine the pattern of space travel distribution. Finally, in order to reveal the most influential factor affecting travel demand as the independent variable, a geographically-weighted regression model was formed and the relationship between travel and such indicators as demographic, economic, and social factors were analyzed and modeled.
Results and discussion
Initially, the data collected from the villages were entered into the ArcGIS software to obtain the origins and destinations of the passengers, their travel directions, and the way their travels were distributed. Then, using Spatial analyst tools, the direction and spatial distribution of trips were obtained by a straight line as an Origion-Destination matrix for short-term trips to Tabriz city. The results showed that many trips were made outside the countryside to the city of Tabriz, and some of these trips were made to large villages and small towns. According to the data extracted from the questionnaire, many of these trips are made by car or taxi because many of these villages are on the roads where public transport does not pass through.
Hot spot analysis has been used to identify villages with high travel rates. The results obtained from the analysis of hot spots indicate that the main places of travels are mostly in the villages of Maidan Chai and Aji-Chay, which seems to be due to the access to public transportation services and the existence of villages with buses to Tabriz city in these rural areas. In the next step, in order to model and explain the effect of research variables on travel demand, GWR was used in GIS. According to the results of the analysis, the parameters of R2 and adjusted R2 are 0.8 and 0.75, respectively. This means that based on a geographically-weighted regression, the indicators considered at the 0.95 confidence level explain 0.80 of the trips and have acceptable accuracy in modeling the spatial relationships of the factors affecting the travel demands of individuals. In addition, the AICc value indicates a lower number, indicating a better fit of the observed data. Due to the different nature of the indicators, the effect of each of the indicators and factors on the amount of travels was investigated separately. The results show that the highest amount of R2 with a value of 0.72 is related to the access to the public transport, followed by the number of workers outside the village with a value of 0.70. Among these, the least influential factor is the total travel time to reach the destination with a value of 0.21, which indicates that people travel to access services and meet their needs regardless of the total time to reach their destinations.
Conclusion
The results of the study showed that several factors have affected the heterogeneity of travel demands in rural areas, which, according to the study, access to the public transport and people working outside the village have the most impact. In addition, most of daily trips to the city of Tabriz are done for business and by personal cars. These trips are based on hot spot analysis in Maidan Chai and Ajichay villages, where most of the villages near the city of Tabriz have access to the public transport (bus) and taxi. The short distance between these villages and the city of Tabriz, the existence of public transportation services in them, and consequently lower costs and ease of movement have caused the accommodation of the overflow of Tabriz in these villages and have increased the demand for travel in these villages, in such a way that during the day, the movement of travelers in these villages is the same as daily trips in the city of Tabriz, and educational, recreational, shopping, health, etc. trips are made from these villages to the city of Tabriz. In addition, the presence of several industrial towns and factories near the villages of Ajichai and Maidanchai has increased the number of business trips in these villages.
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