December 15, 2025
Persian Gulf University
فارسی
Mahsa Chizfahm Daneshmandain
Academic Rank:
Assistant professor
Address:
School of Arts and Architecture
Degree:
Ph.D in Urbanism
Phone:
07731221500
Faculty:
Faculty of Art and Architecture
E-mail:
m [dot] daneshmandian [at] pgu [dot] ac [dot] ir
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Research activities
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Research
Title
Visual Management of Urban Riverscapes (a case study of the central area of Ahvaz city)
Type
Article
Keywords
آستانه ارتفاعي، بلندمرتبه سازي، محدوده مركزي اهواز، مديريت بصري، مناظر رودخانه اي شهري
Journal
جغرافیا و توسعه فضای شهری
DOI
https://doi.org/10.22067/jgusd.2023.77951.1230
Researchers
Mahsa Chizfahm Daneshmandain (First researcher)
,
Fatemeh Poodat (Second researcher)
,
Roohollah Mojtahedzadeh (Third researcher)
Abstract
Inappropriate placement of high-rise buildings can irreparably damage the urban landscape and destroy the opportunity to create a sense of identity.It is especially important in cities with high-quality views of water. The riverscapes of Ahvaz city, has recently been suffered by unprincipled constructions; And it will undoubtedly lead to chaos in the near future. Consequently, the current research aims to develop an effective methodology for managing the riverscape in Ahvaz's central part (formation). Research methods combine quantitative and qualitative approaches. As a first step, views have been recognized, coded and analyzed. Following that, a 3D-isovist and accurate visual representation (AVR) techniques were developed to simulate the optimal height situation. The findings highlight the six categories of potential and current improvements views to river landscapes. Additionally, it accurately displays the height thresholds that permit development close to Karun. Height thresholds prevent tall buildings from being placed incorrectly; for instance, the 19-story skyscraper next to Karun in the Bagh Malek neighborhood had to be placed at least 400 meters behind the riverbed. Unlike other existing research on riverscape, this research focuses on a systematic and quantitative framework for analyzing urban landscapes rather than relying solely on qualitative data. allowing for greater accuracy and scalability. The findings of the proposed procedure in this study have the potential to alter and enhance plans for urban development with regard to landscape.