A STUDY ON UP・PHE・PSE SYNTHESIS EVALUATION SYSTEM OF RIVER LANDSCAPE (PART 7) : PROPOSAL AND VERIFICATION OF URBAN SPATIAL INDEXES FOR PREDICTING THE COMPLEXITY AND OPENNESS CONSIDERING RIVERSIDE GREENERY

This study aims to propose a series of indicators that describe the characteristics of landscape elements, which can be used to predict the psychological evaluation of river landscape complexity and openness. Firstly, we proposed the indicators which is applicable for landscape image in previous study. Then we conducted a psychological evaluation experiment using 48 images that demonstrate different patterns of buildings and trees. According to the result, this study added indicators specifically tailored for landscape images contain trees. Finally, a predictive model performed well, which is applied to predict complexity and openness of landscapes with greenery, is constructed.

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Publication Details

Journal
Journal of Environmental Engineering (Transactions of AIJ)
Published
2025-08-31
DOI
https://doi.org/10.3130/aije.90.451
Primary Topic
Urban and spatial planning
Type
article
Field-Weighted Citation Impact
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article

A STUDY ON UP・PHE・PSE SYNTHESIS EVALUATION SYSTEM OF RIVER LANDSCAPE (PART 7) : PROPOSAL AND VERIFICATION OF URBAN SPATIAL INDEXES FOR PREDICTING THE COMPLEXITY AND OPENNESS CONSIDERING RIVERSIDE GREENERY

Y Omori, Rui Jiang, Daisaku NISHINA, Sayaka KINDAICHI
Journal of Environmental Engineering (Transactions of AIJ)
Urban and spatial planning
article

A STUDY ON UP・PHE・PSE SYNTHESIS EVALUATION SYSTEM OF RIVER LANDSCAPE (PART 7) : PROPOSAL AND VERIFICATION OF URBAN SPATIAL INDEXES FOR PREDICTING THE COMPLEXITY AND OPENNESS CONSIDERING RIVERSIDE GREENERY

Y Omori, Rui Jiang, Daisaku NISHINA, Sayaka KINDAICHI
article en

Abstract

This study aims to propose a series of indicators that describe the characteristics of landscape elements, which can be used to predict the psychological evaluation of river landscape complexity and openness. Firstly, we proposed the indicators which is applicable for landscape image in previous study. Then we conducted a psychological evaluation experiment using 48 images that demonstrate different patterns of buildings and trees. According to the result, this study added indicators specifically tailored for landscape images contain trees. Finally, a predictive model performed well, which is applied to predict complexity and openness of landscapes with greenery, is constructed.

Journal of Environmental Engineering (Transactions of AIJ)Vol. 90(835)
Hiroshima University (JP), Creative Technology (Singapore) (SG), Maulana Azad National Institute of Technology (IN)
Openalex Percentile: Top 77%
Urban and spatial planning
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