Showing 10 results for salehi
Miss Fatemeh Salehi Janati, Dr Hamid Saberi, Dr Shirin Toghyani, Dr Hojat Mahkouei,
Volume 0, Issue 0 (3-1921)
Abstract
Tactical urban planning, which depends upon quick and participatory interventions within small-scale areas, creates a platform for citizen creativity and, by reinforcing neighborhood resilience, redefines models of urban sustainability. This study aims to provide a systematic and comprehensive overview of the composition and research trends within the area of tactical urban planning from a bibliometric perspective. Based on data from 764 papers listed in the Web of Science database between 2000 and 2025 and utilizing VOSviewer software, three bibliometric maps (network, temporal, and density) were created and analyzed. The findings indicated that tactical urban planning, as an innovative and participatory strategy, occupies the center of the theoretical network of urban planning and urbanism scholarship, with deep connections to concepts such as public space, urban policy, and innovation. The temporal trends of papers indicate a significant increase in concern with issues such as participatory design, smart urbanization, and urban resilience in recent years. Moreover, the density map indicated that priority of investigations is assigned to the axes of tactical urban planning interaction with sustainable development, and citizen involvement. Identifying thematic clusters, scientific collaboration networks, and knowledge gaps, this article provides an overall view of the existing status and further research directions within the area. Researchers and urban policymakers can use it to improve urban quality of life and promote sustainable development.
- 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. |
Sadegh Salehi, Hadis Feli, Ahmad Rezaie,
Volume 0, Issue 0 (3-1921)
Abstract
“In recent years, the water crisis in Iran has gone beyond an environmental concern and has evolved into a multidimontion issue. Eastern Mazandaran, despite having relatively abundant surface water resources, faces local conflicts over access to and distribution of water between upstream and downstream villages. These conflicts, beyond the mere scarcity of resources, reflect perceived injustice, the breakdown of trust, and transformations in social bonds.This study aims to understand and interpret people’s lived experiences of social conflict over water in this region, using an interpretative phenomenological approach and seeks to analyze the effects of water conflict on perceptions of justice, security, and local identity. Data were collected through in-depth semi-structured interviews with 20 people (15 residents of the villages involved in the water dispute and five technical experts), and analyzed using a three-level thematic analysis. Thematic network analysis was employed, and through a six-step analytical process, a thematic network was constructed.Within this network, fifteen basic themes were condensed into three organizing themes-“Injustice in the flow of water and distrust in relationships,” “Environmental anxiety,” and “Social rupture and collapse of local solidarity”-and one overarching global theme, “Social conflict over water.”These themes indicate that conflict over water serves not only as a source of material disputes but also as a catalyst for profound transformations in the sense of belonging, coexistence ethics, and social trust. Accordingly, the findings highlight the necessity of rethinking water resource management policies, emphasizing perceived justice, inter-village dialogue, and the integration of Sociological and cultural dimensions in adaptation plans for water scarcity.
Hamid Salehi, Muhammad Motamedi, Ezatollah Mafi,
Volume 21, Issue 61 (6-2021)
Abstract
The basis of climatic data is measurements taken at a predetermined chronological order at air monitoring stations, so all measured values of climatic elements can only be attributed to the point of measurement. Therefore, different interpolation methods can help a lot in estimating climate data in different places. The study area in this study is northeastern Iran, including the provinces of Khorasan Razavi and North Khorasan, and monthly summer temperature data were used for 21 synoptic and evaporative stations in the northeast belonging to the Meteorological Organization and the Ministry of Energy with appropriate distribution. The statistical period of 21 years (1997-1997) was considered as a common statistical period for all stations. Then, in order to compare the interpolation methods, several different methods, including ordinary kriging, spline, inverse squares and Thyssen were used by ARCGIS software. Comparing the deviations of the estimates from the measured data was evaluated by cross-validation. Then, in order to check the hypothesis of normality of the calculated errors in each interpolation method, the test thigh test was used and finally, to evaluate the best interpolation method, AHP method and Expert Choice software were used. The results showed that based on the root mean square error (RMSE) criterion, Thyssen, Kriging, inverse distance and spline methods were located, respectively. Based on the absolute maximum error criterion (MAE), the kriging method estimates the summer temperature better than other methods. According to the MBE standard, the kriging method is better than other methods and can be used for temperature interpolation. According to the set coefficients, the calculated compatibility rate is 0.03, which indicates the high accuracy of the selection of weights.
Seyyed Mostafa Haj Agha Mir, Hamideh Reshadat Jo, Ata Allah Abtahi, Seyyed Reza Salehi Amiri, Fatemeh Aziz Abadi Farahani,
Volume 22, Issue 66 (9-2022)
Abstract
One of the main ways to preserve the traditions and values of the past for future generations is to preserve the culture of the community, which can be addressed by the prosperity of tourism in cities. One of the main ways to preserve the traditions and values of the past for future generations is to preserve the culture of the community, which can be addressed by the prosperity of tourism in cities.The purpose of this study is to explain the models of cultural tourism development in Iran. In the quantitative part of this research, in terms of controlling the studied variables, it is non-experimental, in terms of strategic survey and in terms of the nature of this research is applied. In relation to the research method, it seeks to identify the relationships between cultural tourism and the factors affecting it using the structural equation system. The nature of research is causal research. Considering the application of structural equation modeling to study and analyze the conceptual model of the research, the method of this research is correlational and variance-covariance matrix analysis. The statistical population in the quantitative section was all employees and managers of the Cultural Heritage, Handicrafts and Tourism Organization. In the quantitative part, the sampling method is stratified. Cochran's formula was used to determine the sample size. Based on this, 383 samples were estimated. The tool of this research was a researcher-made questionnaire. To determine the validity and validity of the questionnaire, content validity as well as structural validity were used to determine the validity of the questionnaire. The reliability of the research was analyzed using Cronbach's alpha test. The results of quantitative analysis showed that social indicators have the greatest impact among the leading indicators of cultural tourism in the country.
Mr Mohammadamir Moharreri, Kamran Lari, Foroozan Arkian, Gholamreza Salehi,
Volume 23, Issue 69 (6-2023)
Abstract
There are several limiting factors to the development of cities. These factors lead cities to develop in certain directions. Air pollution as a major problem of metropolises can itself be considered as a limiting factor of urban development by urban decision makers. 4 relatively large power plants are operating in Mashhad. There are currently two power plants in the east of the city and two in the west of Mashhad. Most of the fuel in these power plants is gasoline and natural gas. Modeling the air pollutant emissions of these power plants and identifying the pattern of pollutant emissions across the city can play a key role in the quality of life and health of approximately 3.5 million Mashhad residents. The outputs of this model can also be used as an effective parameter in estimating the urban development model. In this study, the emission of NOX, CO and 10PM pollutants was modeled and evaluated using AERMOD software in Mashhad. Using Arc GIS software, the population affected by these air pollutants was determined by one year solar time, the concentration of pollutants in different areas of the city and the area affected by the pollution concentration range was determined.
Ms Elaheh Ghasemi Karakani, Mr Ebrahim Fattahi, Mrs Loabat Salehi Pak, Mr Hooshang Ghaemi,
Volume 23, Issue 69 (6-2023)
Abstract
During the rainfall, the intensity of precipitation varies. Changes in the amount of precipitation during an event of rainfall are effective in the resulting of flood and its intensity. Knowledge of how rainfall changes over time during rainfall is determined by temporal distribution pattern of rainfall. For this purpose, availability of short-term time scales rainfalls data are important that obtained by rain gauge stations. However, the low density of the rain gauge network and the lack of sufficient data from the time pattern of rainfall have always been a problem in determining storm patterns for executive plans. Therefore, the simulation of WRF numerical weather models can be used. The WRF model is one of the most responsive models for predicting precipitation, temperature and atmospheric elements that used in this study. In this paper, three great storm events on 15 December 2003, 24 - 26 December 2006 and 6-7 March 2007 have been selected in the Parsian dam basin and surrounding areas in south west of Iran. The result of WRF numerical weather prediction model for these great storms compared with data loggers. It showed that the WRF model was able to performance the heavy rainfall and simulates the rainfall pattern in these dates.
Azam Salehi, Masoud Pourkiyani, Mehdi Mohamad Bagheri, Sanjar Salajegheh,
Volume 24, Issue 73 (6-2024)
Abstract
Every city, according to its assets, seeks to develop and consolidate its position at national, regional and international levels, since city branding is one of the most dynamic activities in the field of policy making in the present era, which plays an important role in sustainable development of the region and due to the increasing growth of city development in cultural, economic, environmental and etc. There is a need for a targeted and comprehensive planning to keep pace with sustainable development. Considering the development components and its impact on city branding indicators, this research deals to improve the development and city branding status in the province by examining their situation. The statistical population of this study consisted of two groups: the first group was experts with knowledge that the number of people in this population is uncertain and the sample size is 60 people. The second group consists of policy-making and senior managers, employees with higher education in Bushehr province with 37,751 people and the sample size has been determined by using The Cochran formula of 382 people. Data were collected through 4 questionnaires confirming their validity and reliability. To measure structures and relationships between them, structural equations with partial least squares approach and SMART PLS software have been used. The results indicate that at 95% confidence level, the city branding policy variable has a positive and significant relationship with the development model. Therefore, it is suggested that the policy makers and urban management should plan for the urban branding of the province and improve the development dimensions according to the relationship of the urban branding policy with the dimensions of development.
Key words: Model, Development, Policy, city Branding.
Seyed Komeil Salehi, Ms Habibeh Nabizadeh, D.r Amineh Anjem Shoa,
Volume 25, Issue 77 (6-2025)
Abstract
The objective of this research is to investigate the factors that enhance the attractiveness of tourism destinations in Tehran. This study is applied in nature and employs a descriptive-analytical methodology. The data collection methods include the use of questionnaires and interviews. The statistical population comprises tourism experts and specialists, and through the application of Cochran's formula and simple random sampling, a sample of 210 tourism experts was selected. Data analysis was performed utilizing descriptive statistics and logistic regression tests. The findings of the research reveal that, out of the 210 tourism professionals in Tehran, 91 individuals, representing 43.3%, perceived the attractiveness of Tehran's tourism destinations to be at a high level; 29% assessed it as moderate; and only 27% regarded it as low. Furthermore, the results concerning the factors influencing the enhancement of attractiveness in alignment with tourism development indicate that, among the four factors considered, the most significant were: 1) innovative business opportunities, with an impact coefficient of 0.613; 2) the city's natural, cultural, and historical assets, with an impact coefficient of 0.577; 3) the development of tourism infrastructure, with an impact coefficient of 0.497; and 4) urban development, with an impact coefficient of 0.473.
Hamid Salehi, Mohammad Motamedi, Ezatollah Mafi,
Volume 25, Issue 79 (12-2025)
Abstract
Based on climatic model simulations, global temperatures can be expected to rise by 1 to 5.5 degrees Celsius by 2100. Given the consequences of climate change, recognizing this phenomenon is important in order to have a specific strategy to reduce its effects. In order to study the trend of climate change using Kendall Mann method was evaluated and according to the selected criteria affecting green space and weighting by AHP method, green space adaptation index for Sabzevar city until 2040 was calculated. Changes in urban green space were assessed using satellite imagery and the NDVI index. The decrease in the area of green space along with the expansion of the urban area in the period under study is clearly visible (during the statistical period under study, which corresponds to the historical period of climate models and observational data of Sabzevar). This study also shows that the increase in temperature in the next decade (2030-2021) will continue with greater intensity. In the next step, the per capita urban green space was calculated. According to the results of studying climate data, creating green space in proportion to climate change can play an effective role in adapting the city of Sabzevar to climate change. The use of climate-friendly green space and its changes will reduce greenhouse gases and provide a more suitable climate for humans and their activities. Due to the horizontal growth of the city and the rate of population growth, the amount of adaptation will decrease from 0.48 (in the basic period) to 0.32 in the period 2030-2021. A total of 15 indicators in four cultural, managerial, technological, ecological and plant criteria or each other in ArcGIS software were combined based on the coefficients of importance obtained by experts in the Expert Choice software
