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Volume 35, Issue 3 (2025)
IJAUP 2025, 35(3) |
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Bahrami Hamedani S, Taghvaei H, Tahsildoost M. A Systematic Review of Simulation and Applied Technology Methods in Landscape Analytical Approaches. IJAUP 2025; 35 (3)
URL: http://ijaup.iust.ac.ir/article-1-930-en.html
URL: http://ijaup.iust.ac.ir/article-1-930-en.html
1- Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran , s_bahramihamedani@sbu.ac.ir
2- Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran
3- Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran, Shahid Beheshti University
2- Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran
3- Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran, Shahid Beheshti University
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.
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.
Type of Study: Review Paper |
Subject:
Landscape Architecture
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