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Showing 3 results for Shiraz.

Mohamad Hadi Setavand, Fazel Hajizadeh, Hosin Yaghfoori,
Volume 19, Issue 52 (3-2019)
Abstract

Urban Public Service structuring the form and nature of the physical, social and spatial city; Therefore injustice in how to distribute it, the structure, on nature of the city and class segregation affects urban areas and Urban management is faced with serious challenges. In the same vein, the main purpose of this study, Spatial analysis of enjoyment levels ten main areas of the Shiraz city of Urban service. The research method is descriptive-analytical and its type is practical. In collecting data library method and field has been used. The statistical population of ten main areas of the Shiraz city that according to the 10 overall index and 49 components crucial public services Assessed. For analysis and grading the urban districts from the view point of enjoing public services, some models including Fuzzy TOPSIS, VIKOR and WASPAS have been used and for reaching to a unified result in data analysis of different models, the blended average of ranks has been used. The results of this method showed that Areas 1, 2 and 4 have in the first rank, areas 3, 6 and 7 in the category semi, Districts 8 and 10 low Enjoyment and Zones 5 and 9 enjoyment been lacking in class. The findings of this study show that the distribution of public services in areas of City Shiraz with Spatial justice approach does not match .At the end of this article, strategies according to research findings been proposed. 
Miss Tara Heidari Orojloo, Dr Afshin Afshin Ghorbani Param, Dr Faramrz Hasanpour,
Volume 25, Issue 79 (12-2025)
Abstract

The climatic conditions of various regions in Iran are critical parameters in the design and provision of thermal comfort within residential architecture. This study aims to develop appropriate climate-responsive design models for Shiraz, grounded in thermal comfort indicators. The research employs a descriptive-analytical methodology, utilizing advanced modeling software, specifically the Grasshopper plugin, for simulation purposes. Climatic data for the city of Shiraz has been extracted using the Ladybug plugin, with the relevant EPW file incorporated into the analysis. This data was then employed to simulate climate tables, generate diagrams of flowerbeds, and determine optimal building orientations, in addition to creating psychrometric diagrams to identify the most effective design solutions aligned with the local climate. The findings indicate that Shiraz falls within the climate comfort zone during the winter and spring months, notably in February, March, and April. However, it is important to note that the temperature during these months, with the exception of April 13-16, often exceeds the comfort range. Consequently, it is recommended to position the majority of windows on the southern façade and to incorporate auxiliary heating systems. Conversely, during the months of June, July, August, and September, temperatures surpass the comfort level; thus, the integration of materials with high thermal mass, appropriate shading devices, and the utilization of evaporative cooling systems are essential to alleviate internal conditions and maintain indoor comfort levels.

Mahdi Yaraghi Fard, Samaneh Jalilisadrabad,
Volume 25, Issue 79 (12-2025)
Abstract

A healthy city concept aims to prevent the development of various diseases through effective urban design and land use. Shiraz city and Fars province have the highest incidence of road and pedestrian accidents. Additionally, depression among the elderly serves as a precursor to other health issues, necessitating enhanced social and healthcare initiatives to raise awareness, improve life expectancy, and foster a sense of community belonging. This study aims to measure indicators and elucidate healthy urban spaces through a smart city approach in Shiraz. It is practical in purpose and descriptive-analytical in nature and methodology. The statistical population was drawn from a group of university experts and municipal employees to gather insights on health-oriented urban development within the smart city framework. Data collection was based on comprehensive library research. To analyze the data, inferential methods were employed, including the single-sample t-test, analysis of variance (ANOVA), Scheffe's post hoc test, and factor analysis. SPSS software was utilized for data analysis. The results indicate that the indicators examined are complementary and contribute positively to the health of citizens. Furthermore, 11 factors have been identified as critical dimensions for a healthy city aligned with the smart city approach: air quality, social interaction, safety, social participation, climatic comfort, social security, access to water, sewage and waste management, social justice, urban green space, education, poverty, and employment. Ultimately, the research hypotheses have been confirmed.
 

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