Constructing a conceptual framework: Interpreting visual preference and visual pollution factors among viewers in highway landscapes

• Addresses gaps in current VIA methodologies through systematic integration of visual pollution assessment. • Propose a two-stage framework combining landscape character assessment and environmental theories. • Identifies seven visual perception variables linked to specific perceptual impacts of visual pollution. • Integrates evolutionary and cultural perspectives for comprehensive viewer response assessment. Highway landscapes play a multifaceted role in modern infrastructure, providing environmental mitigation and cultural expression while impacting viewers’ experiences and well-being. However, these landscapes face challenges from visual pollution, which can compromise their aesthetic appeal and functionality. This study proposes a comprehensive conceptual framework that addresses gaps in current visual impact assessment methodologies, particularly in systematically capturing how viewers interpret and respond to visual pollution in highway landscapes. While NCHRP (NATIONAL COOPERATIVE HIGHWAY RESEARCH PROGRAM) Report 741 established evaluation criteria and FHWA (Federal Highway Administration) Guidelines offered procedural guidance, neither fully addresses the complex relationship between visual pollution and viewer perception. Our framework integrates multiple environmental theories with landscape character assessment principles, identifying land use, landform, and land cover as fundamental elements and seven visual perception variables (openness, naturalness, complexity, coherence, legibility, mystery, and imageability). This integration provides explicit connections between theoretical foundations and assessment variables, enabling a more informed evaluation of visual pollution impacts. The framework’s methodological innovation includes a two-stage assessment process and incorporates socioeconomic considerations previously lacking in existing approaches. Despite geographical and cultural limitations, this framework offers valuable guidance for highway planners, designers, and policymakers in creating more sustainable and aesthetically pleasing environments. Future research directions include developing quantitative metrics, implementing studies across diverse environments, and exploring cultural adaptations of the framework.

Authors

Institutions

Publication Details

Journal
Transportation Research Interdisciplinary Perspectives
Published
2025-03-22
DOI
https://doi.org/10.1016/j.trip.2025.101399
Citations
1
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
1.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Constructing a conceptual framework: Interpreting visual preference and visual pollution factors among viewers in highway landscapes

Mohd Johari Mohd Yusof, Suhardi Maulan, Shamsul Abu Bakar, Guo Yu et al.
1 citations
Transportation Research Interdisciplinary Perspectives
Urban Green Space and Health
1.20
article

Constructing a conceptual framework: Interpreting visual preference and visual pollution factors among viewers in highway landscapes

Mohd Johari Mohd Yusof, Suhardi Maulan, Shamsul Abu Bakar, Guo Yu, Hangyu Gao, Riyadh Mundher, Jun Qi, Yue Zhuo
article en
1 citations

Abstract

• Addresses gaps in current VIA methodologies through systematic integration of visual pollution assessment. • Propose a two-stage framework combining landscape character assessment and environmental theories. • Identifies seven visual perception variables linked to specific perceptual impacts of visual pollution. • Integrates evolutionary and cultural perspectives for comprehensive viewer response assessment. Highway landscapes play a multifaceted role in modern infrastructure, providing environmental mitigation and cultural expression while impacting viewers’ experiences and well-being. However, these landscapes face challenges from visual pollution, which can compromise their aesthetic appeal and functionality. This study proposes a comprehensive conceptual framework that addresses gaps in current visual impact assessment methodologies, particularly in systematically capturing how viewers interpret and respond to visual pollution in highway landscapes. While NCHRP (NATIONAL COOPERATIVE HIGHWAY RESEARCH PROGRAM) Report 741 established evaluation criteria and FHWA (Federal Highway Administration) Guidelines offered procedural guidance, neither fully addresses the complex relationship between visual pollution and viewer perception. Our framework integrates multiple environmental theories with landscape character assessment principles, identifying land use, landform, and land cover as fundamental elements and seven visual perception variables (openness, naturalness, complexity, coherence, legibility, mystery, and imageability). This integration provides explicit connections between theoretical foundations and assessment variables, enabling a more informed evaluation of visual pollution impacts. The framework’s methodological innovation includes a two-stage assessment process and incorporates socioeconomic considerations previously lacking in existing approaches. Despite geographical and cultural limitations, this framework offers valuable guidance for highway planners, designers, and policymakers in creating more sustainable and aesthetically pleasing environments. Future research directions include developing quantitative metrics, implementing studies across diverse environments, and exploring cultural adaptations of the framework.

Transportation Research Interdisciplinary PerspectivesVol. 31
Yunnan Normal University (CN), Universiti Putra Malaysia (MY), Southwest Forestry University (CN), Zhoukou Normal University (CN), State Forestry and Grassland Administration (CN)
Openalex Percentile: Top 25%
Urban Green Space and Health
1.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.