Showing 60 results for Tehran
Joan Amini, Mehri Akbari, Zahra Hejazizadeh, Ali Akbar Shamsipur,
Volume 0, Issue 0 (3-1921)
Abstract
Green spaces have a key role in moderating urban micro-climatic conditions, beautifying urban landscapes, citizens' leisure time, and also reducing noise and air pollution and absorption of Aerosols. In addition to the significant advantages of green space, water consumption and irrigation needs is one of the main limitations of green space development in Tehran that nowadays faced to critical water shortage. Calculating water footprint in green spaces, as the total amount of fresh water required to maintain green space throughout the year, is one of the indicators by which the compatibility of tree and plant species with climatic conditions can be assessed. The main object of this study is to estimate the water footprint of Laleh Park in Tehran province of Iran. The Green space soil water balance (SWB) model was used to calculate water footprint in this park. The required data that including: average daily temperature, total precipitation and moisture depth of zero to 30 cm of soil, were obtained from the Geophysical meteorological station of Tehran for 2018. Data related to soil water drainage were also estimated based on standard laboratory samples of green space soils. The results indicated that in the warm months (June to September) of the year, the total water footprint of Laleh Park in Tehran was 4 to 5 thousand cubic meters per month (m3/m), while the winter months (December to March) total estimated water footprint were less than 1400 cubic meters per month. The generalization of 30 Centimeters depth soil moisture data of the geophysical meteorological station to Laleh Park, released that, in the warm month of the year, Green Water (groundwater or surface water) had the largest portion (more than 90%) in the water footprint of Laleh Park, While in the winter months (December and to march), the green water (water from snow and rain) is main participant in providing soil moisture, more than 90% of the total water footprint of Laleh Park has related to this source.
Ali Ahmadi, Majid Vali Shariat Panahi, Reza Borna, Rahmatollah Farhoodi,
Volume 0, Issue 0 (3-1921)
Abstract
Due to the many complexities, housing planning, especially for vulnerable groups, in a city as large as Tehran, requires a model to simplify the process and speed up calculations, which does not currently exist. With the aim of solving this problem, the present study proposes a model with the following steps: 1) Explaining the objectives 2) Estimating the housing needs of the target community 3) Identifying expandable areas 4) Proposing construction patterns 5) Proposing dispersion patterns 6) Calculations and patterns Financial and 7) suggest operating patterns. The information required to implement the model was collected from two questionnaires and data from the Statistics Center. In this model, three housing models with minimum, optimal and average areas and three types of existing housing construction, 100% infrastructure and freeing up the yard space were used as public urban space. The proposed zoning was adapted to the 22 districts of Tehran Municipality due to compliance with the available data. Sales price and financial calculations were calculated based on the internal rate of return of 20% and contract subsidies, and finally 4 free transfer models, lifelong lease, lease on condition of ownership in the program areas were proposed. The results show that one of the problems in this sector is the lack of appropriate decision-making structure and planning tools that can provide a comprehensive and complete review of the current situation, comprehensive and comprehensive solutions. Therefore, according to the model and using the indicators used, regions 2, 6 and 13 have the lowest and regions 19 and 22 have the highest potential for housing development of low-income and vulnerable groups, and finally, the model has suggested the most housing in regions 22, 4, 19 and 11.
Shahram Emamgholi, Gholamrezaa Janbaz Ghobadi, Parviz Rezaei, Sadroddin Motevali,
Volume 0, Issue 0 (3-1921)
Abstract
Temperature is one of the basic elements of climate, so its sudden or short-term and long-term changes can change the climate structure of any place. Intense heat waves are one of the most important climatic disasters that have far-reaching effects on various human activities and when they are of high intensity and frequency, they can produce major problems. In this study, to investigate the trend of 49-year frequency series (1970-1970) of hot wave events in Tehran, from two indices of hot days and hot waves (hot days lasting 2 days or more), non-parametric statistics of Sens trend analysis were used. All stations indicate an increasing trend both in the number of hot days in Tehran and in the frequency of hot wave events in 5 stations in Tehran. In this study, two hot waves were identified in Tehran, the first wave in 2010 covered a large part of the central and western parts of the country and the second wave in 2013, which was in all stations of Tehran and even many provinces. Are registered in the country. The results of spatial analysis of hot wave temperature in the statistical blocks of Tehran showed that generally the central areas of Tehran, including areas 6, 7, 8, 10, 11, 12, 14, 15, 4, 7, and 19 significantly It has been affected by the critical temperatures caused by the warm wave rule, while the northern parts of Tehran have been affected by the lower intensities of the hot wave.
- Mohammad Reza Ghorbani Param, - Pouyan Shahabian, - Vahid Dinarani, - Ronak Najafi,
Volume 0, Issue 0 (3-1921)
Abstract
The quality of the urban environment is one of the important indicators of the development of any city. In this regard, the type of pattern that can be used in cities can have a great impact that biophilic urban planning is one of the most important patterns due to its relationship and centrality with nature. The purpose of this study is to explain the environmental quality criteria of Tehran according to the components of biophilic urban planning. The research method is descriptive-analytical and based on data collection through survey method. The research tool was a questionnaire whose validity was confirmed by the elite community and its reliability was confirmed by Cronbach's alpha coefficient greater than 0.70. The statistical population of the study also consists of urban experts and specialists, including academics and experts in Tehran. Due to the lack of statistics in this area, coronary and cost constraints, 120 experts were selected as the sample size. The results showed that the structural-functional, content and physical-spatial indicators of the quality of Tehran's urban environment based on biophilic urban planning were significant at a level of less than 0.05. The study of the mean and significant direction indicates the weakness of these indicators and lack of attention to biophilic urban planning in the planning of this city. Also, the results of structural equation modeling confirmed that the structural-functional, content and physical-spatial indices of biophilic urban planning can be effective in improving the quality of Tehran's urban environment. . Therefore, biophilic urban planning has not been emphasized in the planning model of Tehran, but the results indicate their effectiveness in improving the quality of the city's environment if used.
Farzaneh Sasanpour, , ,
Volume 0, Issue 0 (3-1921)
Abstract
The metropolis of Tehran has developed on the basis of modern urbanization and in the last decade, it has witnessed transformations such as the reduction of the biological capacity of the region, uncontrollable socio-economic effects, exorbitant costs in the direction of health protection and also the treatment of the diseases that have arisen. is the aim of the research being to analyze the effects of carbon footprint on the sustainability of Tehran metropolis. The current research is applied and descriptive-analytical in terms of research method. Library and field method (questionnaire) was used to collect information. The statistical population of this study is Tehran metropolis with a population of 8,693,706 people, and Cochran's formula was used to select the sample, and 384 people were determined and completed by simple random sampling. Information processing was done with SPSS software, and the results of the questionnaire were analyzed with structural equation method and PLS software. The findings of the research showed that the situation of the carbon index in Tehran is in an unfavorable situation. The highest factor loading or standardized regression coefficient for the low-carbon planning index and the lowest for the low-carbon society index is 0.218. Also, it was found that low-carbon planning had the greatest impact on carbon reduction in Tehran metropolis. After that, the indicators of low-carbon urban development, low-carbon environment, low-carbon economy, low-carbon transportation, low-carbon construction and low-carbon society in the reduction of carbon in the city of Tehran respectively have There were different effects.
Key words: carbon footprint, sustainability, sustainable development, Tehran metropolis.
Mousa Kamanroudi-Kojouri, Azad Rahimzadeh, Farideh Fallah-Hosseini,
Volume 0, Issue 0 (3-1921)
Abstract
A creative city is a vibrant place that fosters cultural and intercultural learning, where every resident feels confident in their knowledge, skills, and cultural awareness. A creative city emphasizes characteristics that make the city more appealing to its residents. The objective of this research is a comparative assessment of Tehran’s metropolitan districts based on creative city indicators. This study is descriptive-analytical in terms of methodology and applied in terms of purpose. Data collection was conducted using a documentary-library method across four dimensions: quality of life, human capital, social capital, and innovation. The WASPAS decision-making model was used for ranking the districts, and the entropy model was applied to weight the indicators. The innovation of this research lies in its use of a comparative approach and a new model for identifying and evaluating creative city indicators at the urban district scale (Tehran metropolis).The results from employing the WASPAS decision-making model reveal differences among the 22 districts of Tehran concerning creative city indicators. The ranking of districts in terms of being a creative city shows that seven districts (6, 1, 12, 3, 4, 2, and 7) have favorable conditions. Eight districts were found to have moderate conditions, while seven districts (19, 18, 16, 21, 17, 10, and 9)respectively, were in unfavorable conditions and prioritized for urban development planning. Moreover, the findings showed that the economic dimension of the creative city had the highest number of districts (17) in unfavorable conditions.
- Elham Salehian Dehkordi, - Heeva Elmizadeh,
Volume 0, Issue 0 (3-1921)
Abstract
| Landslides represent a critical natural hazard in the Northern Tehran Basin, posing significant threats due to its complex geological setting, rugged topography, and anthropogenic activities such as road construction. This study introduces an innovative hybrid framework incorporating dynamic weighting based on Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) for landslide susceptibility zonation. Unlike conventional methods (e.g., Frequency Ratio [FR], Statistical Index [SI], and Shannon Entropy [SE]), which employ static weights, our approach dynamically adjusts factor weights (e.g., distance to rivers, slope, lithology) using PSO, accounting for temporal variables such as seasonal rainfall and human activity. We compiled rainfall data and 150 landslide events (2005–2024) from local meteorological stations and geological databases. Input parameters included eight key factors (distance to rivers, distance to roads, slope, lithology, elevation, aspect, distance to faults, and land use) alongside seasonal rainfall. Results demonstrate that dynamic weighting improves prediction accuracy by 15% (AUC-ROC = 0.923 for PSO vs. 0.804 for FR), particularly during high-rainfall seasons where river proximity weight increased (vj = 8.2 vs. 7.21 in static models). The PSO-GA hybrid outperformed traditional models, with PSO (AUC-ROC = 0.923) and GA (AUC-ROC = 0.917) showing superior precision. Dynamic hazard maps accurately identified high-risk zones (e.g., near rivers with vj = 8.23 during rainy seasons). This approach offers a robust tool for landslide risk management in urbanized mountainous regions like Northern Tehran and serves as a replicable model for similar environments globally. |
Dr Saeedeh Fakhari,
Volume 0, Issue 0 (3-1921)
Abstract
Tehran’s District 12, as one of the capital’s cultural and tourism hubs, hosts a collection of prominent cultural institutions and museums that serve as major attractions for domestic and international visitors. However, the absence of systematic planning for routing between these centers leads to wasted time and energy for tourists and diminishes the quality of their visitation experience. This study aims to optimize museum visitation routes in Tehran’s District 12, focusing on minimizing travel time and distance, by selecting 22 active and significant museums in the area as case studies. To achieve this, the mathematical model of the Open Traveling Salesman Problem (Open TSP) was applied within the framework of network analysis in a Geographic Information System (GIS) environment. Precise spatial data—including the geographic locations of museums and the local street network—were imported into ArcGIS software and processed using the Network Analyst tool. Travel cost matrices (based on time and distance) between all museum pairs were calculated, and optimal visitation routes were extracted and ranked using heuristic Open TSP algorithms according to the criteria of minimum time and shortest distance. Findings indicate that applying the Open TSP model within network analysis leads to the identification of significantly more efficient routes compared to conventional patterns or unplanned visits. Quantitative results show that, under normal (non-optimized) conditions, visiting all 22 museums covers a distance of 25.91 km with a travel time of 310 minutes, whereas the optimized proposed route requires only 9.896 km and 118 minutes of travel time. This improvement represents a 62% reduction in both distance and travel time. The study demonstrates the high efficiency of integrating combinatorial optimization models with GIS spatial analysis capabilities for urban tourism planning and can serve as a model for intelligent management of tourist visitation routes in other urban areas. The results enable informed decision-making and optimal planning for both group and individual visits, significantly enhancing the tourism experience by reducing time and physical costs.
Miss , Mrs Farzaneh Sasanpour, Dr Ben Jarihani,
Volume 0, Issue 0 (3-1921)
Abstract
Urban ecological resilience in the Tehran metropolis is one of the most important focuses of urban policy-making due to climatic and environmental challenges. The present research was conducted with the aim of analyzing Tehran's ecological resilience based on regulating ecosystem services and environmental and human variables. To this end, the Multiscale Geographically Weighted Regression (MGWR) model and the eleven-fold City Resilience Index (CLI) were employed.
The results showed that vegetation cover (NDVI), with a positive coefficient and small dispersion, has a uniform and determining effect on the CLI, confirming the importance of greenery in enhancing urban ecological resilience. The per capita green space showed a small positive coefficient, indicating a limited but significant impact on resilience, which suggests its unbalanced distribution across neighborhoods. Geomorphological variables, such as land slope and the rate of land subsidence, showed a consistently negative effect on the CLI. Transportation infrastructures, particularly the distance from the metro and BRT (Bus Rapid Transit), had a positive relationship with the CLI, although this relationship likely reflects population density and economic activities along high-traffic corridors.
In terms of air quality, showed a significant negative effect, while and had a slight positive effect on the CLI; showed no significant impact. Pearson's correlation results indicated no correlation higher than between the variables and the CLI, suggesting the complementary and multi-factorial role of environmental and physical indicators in shaping urban resilience.
In total, the findings suggest that enhancing Tehran’s urban ecological resilience requires a systemic and multi-dimensional approach. Policy-making in this area should focus on inclusive greenery development, redesigning compact urban fabrics, and developing green and sustainable transportation.
Sajad Monfared, Taher Parizadi, Habibollah Fasihi, Ali Shamaie,
Volume 0, Issue 0 (3-1921)
Abstract
Space is socially produced, and the duality of urban space reflects the multidimensional duality of urban society, posing a major challenge to urban development and spatial justice in metropolitan areas. In Tehran, uneven growth and the concentration of development and urban amenities in specific areas have produced unequal quality of life and a socially stratified urban space. Accordingly, this study examines the spatial manifestations of urban duality in the Tehran metropolis and identifies spatial patterns of inequality across municipal districts. The study adopts a descriptive–analytical approach and covers the 22 municipal districts of Tehran. Data for 45 indicators were obtained from the 2016 National Population and Housing Census and the Statistical Yearbooks of Tehran Municipality (2019–2022). District-level development was evaluated using the CORASO multi-criteria decision-making method, while spatial relationships were analyzed through Moran’s I spatial autocorrelation index. The results reveal a pronounced north–south spatial divide in Tehran. Based on the CORASO scores, northern districts—particularly District 6 (0.25313), District 1 (0.17013), and District 3 (0.12703)—exhibit the highest levels of development, whereas southern districts, especially District 17 (−0.25313), District 10 (−0.23450), and District 18 (−0.22924), are among the least developed. Moran’s I value (0.433510) indicates significant spatial autocorrelation and a clustered spatial pattern, with developed districts forming clusters of prosperity and less developed districts forming clusters of deprivation in southern Tehran. This pattern reflects the historical concentration of resources, services, and investments in northern Tehran and the persistent relative deprivation of its southern districts.
Ali Reza Karbalaee Doree, Sayyed Mohammad Hosseini, ,
Volume 17, Issue 47 (12-2017)
Abstract
Air pollution is one of the most important natural hazards in cities that is one of the priorities of climate research. In this research, synoptic situation of days polluted by ozone in Tehran have been studied and by environmental to circulation approach and cluster analysis. At first, was formed a matrix in 2417*41. Rows are indicated days and columns represent the number of stations. by cluster analysis and Ward method eight different clusters were identified. The results showed that the frequency of the ozone days have a seasonal trend and more can be seen in the first half of year in these cases the establishment subtropical high pressure in Iran. Therefore, cause the persistency of pollution in Tehran.
Farzaneh Sasanpour, , ,
Volume 17, Issue 47 (12-2017)
Abstract
Urbanization bubble is a new concept in urban planning issues for examining sustainability at various levels of social, economic, environmental, and management. So far, no common definition provided for urbanization bubble that indicate a lack of research in this field. This research aimed at assessing futures studies of urbanization bubble in Tehran metropolitan with focus on scenario planning. Research method in term of purpose is applied and in term of method is exploratory descriptive analytic one. Required data gathered through field study and document review. In field studies, Delphi technique performed in the form of a group of 30 people. For data analyzing, cross impact analyzes used in MICMAC software. Results indicate that 56 factors identified as key factors in five institutional, managerial, economic, social and environmental dimensions affecting future condition of urbanization bubble. Then, based on experts’ comments, 25 agents identified. Dispersion of the variables indicates the instability of Tehran's metropolitan system. Five categories of influential, dual, regulatory, influential and independent factors identified. Final scores and ranking of key factors carried out and finally, three scenarios presented for the future status of urbanization bubble in Tehran metropolitan.
, , , ,
Volume 19, Issue 52 (3-2019)
Abstract
One of the Challenging problems of Tehran metropolitan region is Air pollution. Suburban expansion in the form of sprawl patterns have created the travels and transportations, due to the dependence on personal vehicles contributes more than 85 percent of creators of air pollution. The article studied the role of transportation in emergence of urban air pollution in Tehran metropolitan region, have population more than 15.98 million. The method of this paper is of analytical and is based on the secondary data and traditions of the Quantitative research methodology. This article have been wrote in the context of Retroductive strategy and meta-analysis method and compositional research traditions. For analysis of suburban spatial transportation have used Raw Data Intra-Urban and suburban Data in 1395 Year And for spatial analysis of air pollution (PM2.5 and PM10), have been used The raw data from sensing stations and Landsat satellite images (OLI) for three selected days in 1392, 1393, and 1395 as survey samples in the ArcGIS software. The research findings indicate that due to the intensity of transportation flows in Tehran metropolitan, the suburb to the suburb, the suburb to the central city (Tehran) and vice versa, Air pollution center Rise cannot be attributed to Tehran alone, as the area of pollutant sources has been distributed within the "Tehran metropolitan region ".So, the amount of spatial correlation between air pollution maps and transportation flow maps in selected days (2 Bahman 1392, 5 Bahman 1393 and Dec. 7, 1395), in all cases indicated high spatial relations (more than 75%), Confirmation the idea of this paper. Analysis of this situation in triple loops also shows that the highest volume of transportation is in the city of Tehran (CBD), suburban and exurban areas, respectively and the distribution pattern and spatial accumulation of pollution are also subject to this situation.
, S Z, A T, M A,
Volume 19, Issue 53 (6-2019)
Abstract
Using the passive defense principles in urban plans and projects is important in the context of land use planning, reinforced concrete, citizen education, and increasing urban resiliency. Observing and adhering to these principles will reduce the vulnerability of the city and citizens to security and military threats. Therefore, this study aims at evaluating the spatial pathology of the physical and social structure of the 6th urban district of Tehran municipality with emphasis on passive defense approach principles particularly citizenship education principle. Therefore, this research has selected the 6th urban district of Tehran municipality, due to its important and sensitive land uses with regional and trans-regional functions as a research area. In this study, the AHP model was used to assess the physical structure pathology. In order to evaluate the social structure damages of the area, three neighborhoods were selected in the region using cluster-spatial sampling. Then, using the survey method, the authors sought to collect the views of the inhabitants. In order to determine the sample size, the Cochran's formula was used. The results of this study indicate that the vulnerability of the region in terms of the physical structure is moderate and downward. Additionally, the social vulnerability of the area is also above average. Finally, the factors influencing the vulnerability of physical and social structure were investigated. Accordingly, it can be concluded that the indicators of population and construction density are the most important factors affecting vulnerability from experts' viewpoint. In addition, it was revealed that education and awareness, resiliency against security-military threats, skill and expertise, respectively, are the effective indicators of the vulnerability of the social structure of the area.
Habibollah Fasihi,
Volume 19, Issue 55 (12-2019)
Abstract
In urban planning, proper distribution of facilities and educational services is important, because only if there is an equity in the distribution of services and land uses, it will be possible for all residents to take advantage from them. The purpose of this paper is to investigate the spatial distribution of schools and the accessibility of households to public education schools in 20th district of Tehran. The research method was descriptive-analytical based on the data and information provided by the education departments. In order to analyzing the spatial distribution of schools we used spatial analysis models in GIS including the nearest neighboring index; multi-spatial analysis and Moran index. Buffer technique has been used to analyze access to public education schools. Findings showed that all the schools at different levels from primary, secondary, to vocational schools had a cluster pattern of spatial distribution. The distribution of public education schools (primary and first period of secondary schools) had a more clustered pattern compared to the specialized schools. 29.9% of the area was not inside the access area of boys' elementary schools. The out of access area of girls' elementary schools, first period boys' high schools and the girls' ones were 6,27, 13/7 and 3/7 percent respectively. While some parts of the study region were outside of schools access areas, In some other parts, 5 access areas of elementary schools and 7 access area of first period high schools were overlaid. This also reflects the unequal spatial distribution of schools in the region.
Dr. Mohammad Eskandari Sani,
Volume 20, Issue 56 (3-2020)
Abstract
One of the UN Millennium Development Goals is women's participation in urban management. This article develops a theoretical framework for analyzing the relationship between community- based planning and women participation in cities. In this regard, collective action, social capital, and neighborhood as location for community planning are used. The framework identifies a series of variables that are theorized to affect a community's capacity to women participation. Method of study is analytical descriptive. The statistical population is women over 18 years old in Nematabad neighborhood. 29 questionnaires are distributed randomly. According to the findings it is recommended that, the strategy for development of community-based planning can be very effective in urban planning system in Iran as this strategy for host communities could bring about social welfare, justice, and socio- economic suitability. Also Social Network, marriage, education level, employment are the most important elements that affect women's participation in the development of community-driven development programs.
Amin Shahsavar, Mousa Kamanroodi, Taher Parizadi, Mahlagha Abolghasempor,
Volume 20, Issue 57 (6-2020)
Abstract
Urban neighborhoods play a major role in urban life and decline. The transformation of the relationship between mass and space and the changing in population and construction densities due to changes in lifestyle, population growth and ... has caused a major transformation in the spatial structure of the neighborhoods and, finally, amount of social communication and interaction at the local level. These inevitable changes in the neighborhood and the city have caused major problems in which according to the relationship between the spatial and social structure of urban neighborhoods, it is necessary to improve the situation on the other side by interfering and changing in each of the fields. In the present research, neighborhood-centered spatial development strategy and plan in Ferdowsi neighborhood have been investigated. This research in terms of purposing is applied; in terms of nature and method is prescriptive; according to type of data is quantitative and qualitative; and in terms of time, is cross-sectional. In this research, by using the AIDA technique and based on strategies and decision areas, a strategic project has been presented in order to empowerment of Ferdowsi's neighborhood.
Amir Safari, Ali Ahmadabadi, Zahra Sedighifar,
Volume 20, Issue 57 (6-2020)
Abstract
Flood plains and adjacent rivers, which, due to their particular circumstances, are considered suitable places for carrying out economic and social activities, are always subject to the dangers of flood events. Hence, in these areas, determination of flood progression and its elevation relative to the surface of the earth, as well as determining the characteristics of the flood during the various return periods, which will be called flood zoning, will be of great importance. In this regard, this research aims at integrating the WMS hydrologic model with ARC GIS software to estimate flood zones in the Damand, Goladdareh, Saadabad and Maghsoud Baik watersheds on the main river of Darband. At first, the river Darband was divided into 19 main sections and in the HEC-RAS model, the river was zoned. In this research, using different digital maps, the flood extent in the riverside lands was calculated for a flood with a return period of 2 to 500 years. The SCS method was also used to increase the accuracy and reliability and also to identify areas susceptible to runoff production. The results of the study show that, due to land use changes, especially in the river basin and the abundant construction of the studied basin, there is no flood control power.
Reza Reza Borna, Nasrin Nasrin Jafari, Farideh Farideh Asadian,
Volume 20, Issue 57 (6-2020)
Abstract
In order to understand the total consumption of buildings and accurately calculate how much energy each building uses, taking in consideration all the building's lifecycle phases is essential. In order to select the correct methodology for the main study, the researcher began with the determination and the parameters that would have been researched, as well as the analysis and comparison of the different methods used by other researchers to achieve similar goals. The following parameters define the final results and are stabilized or examined to determine their actual effect: A- Constant parameters: 1- Climate data 2- and data on the use of the building: B- variables: 3- Design data: 1- orientation 2- window to wall ratio 3- aspect ratio. This research uses a survey followed by a computer modeling methodology to achieve the goal of providing architects with techniques that reduce energy consumption in building units. To obtain reliable results that are useful to the construction industry in the country, the researcher has ensured that the virtual environment created in the modeling process mimics a typical building environment of Tehran units. Research has shown that passive design techniques have a major impact on the energy consumption of buildings. A significant reduction in consumption (67 percent) was noted when the orientation and percentages of the opening on the wall were changed. In summary, this study has shown that the application of passive, economical and simple design techniques has a major impact on the energy consumption of the unit rooms. If the architects take these ideas into account during the design process, the buildings will take on more responsibility for the environment and consequently reduce carbon dioxide emissions.
Ali Shamai, Mahsa Delfannasab, Mohammad Porakrami,
Volume 20, Issue 59 (12-2020)
Abstract
The purpose of this study was to investigate the factors affecting housing prices in the Laleh Park district of Tehran. In this study, the data of all real estate traded in the first six months of the year 2016 was used in the study area. Information about the physical properties of the residential units trained is collected from the Real Estate Market Information System of Iran and is used to obtain information on the accessibility features of residential units traded using ARC GIS software. Multivariate regression analysis has also been used to investigate the factors affecting housing prices. The results of this study showed that the physical factors of housing are more effective than the access factors in the housing prices in this district . Among the selected features, the variables of residential area, parking, and skeletal type had the most positive effect on the price of housing in the area under study. On the other hand, some of the features, such as the distance from the residential unit to the nearest main street, the residential unit to the nearest educational user, the residential unit distance to the nearest health care provider, and the residential unit's age, had a negative effect on the housing price in the Laleh Park district .
