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Showing 2 results for Tahsildoost

Z. S. Zomorodian, S.s. Korsavi, M. Tahsildoost,
Volume 26, Issue 1 (6-2016)
Abstract

Daylight in classrooms is a critical factor in school design, in terms of its impact on students’ health, learning and visual performance. Providing adequate amount of evenly distributed daylight and glare prevention are important challenges in classroom design. Window configuration significantly affects the intensity and uniformity of daylight. This paper aims to investigate the effect of window configuration on daylight performance through parametric analysis. Different window configurations such as window to wall ratio, incorporating light shelves and roof monitors have been analyzed on a typical south-east facing classroom in Kashan based on results from DesignBuilder Radiance simulation which has first been validated against field measurements. Daylighting credits of green building rating tools; Leed EQ 8.1 and BREEAM HEA1 have been used as indices for evaluating and comparing different window configurations. Results show that by increasing the window-wall-ratio to 35, 40 and 50% and by installing a roof monitor, the daylight credits of the BREEAM and LEED could be achieved respectively. According to the fact that none of these window configurations have reached the standards required by both rating tools, the authors believe that a combination of installing monitor roof and light shelves and increasing window-wall-ratio may result in enhanced daylight levels.


Sajjad Bahrami Hamedani, Seyed Hassan Taghvaei, Mohammad Tahsildoost,
Volume 35, Issue 3 (8-2025)
Abstract

Landscape architecture confronts multifaceted challenges—from rapid urbanization and climate change to the complexity of managing large-scale ecological data—demanding advanced assessment methods to guide sustainable design and planning. As technological innovations reshape analytical capacities, this systematic review explores how emerging digital tools are enhancing landscape assessment across diverse domains. A comprehensive literature search across multiple databases initially identified 482 articles. Using the PRISMA methodology, a rigorous screening process narrowed this to 92 studies for in-depth analysis. This review categorizes landscape assessment into four key domains: visual, psychological, spatial, and ecological. It further organizes simulation methods into four distinct groups and classifies applied technologies into three primary categories: data management, visual and neuroscience applications, and photogrammetry.
By systematically comparing technological methods, assessment indicators, and software applications across these classifications, this study offers evidence-based guidance for landscape architects in selecting context-appropriate tools. Findings indicate notable advancements in objective assessment technologies—particularly in spatial and ecological domains—while highlighting ongoing challenges in integrating subjective human dimensions, such as psychological perception, into digital frameworks. The proposed taxonomy serves as a practical decision-making roadmap, enabling professionals to align simulation techniques and technological tools with specific evaluation goals—whether addressing visual impacts, social dynamics, ecological processes, or spatial configurations. Beyond mapping current technological trends, this review identifies critical gaps and opportunities at the intersection of landscape architecture and digital innovation, pointing to essential directions for future research and practice.
 

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