Quantitative evaluation of attraction intensity of highway landscape visual elements based on dynamic perception

被引:27
作者
Qin, Xiaochun [1 ]
Fang, Mengjie [1 ]
Yang, Dongxiao [1 ]
Wangari, Vicky Wangechi [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Civil Engn, Beijing 100044, Peoples R China
基金
中国国家自然科学基金;
关键词
Road engineering; Highway landscape; Visual elements; Attraction intensity; Quantitative evaluation; Dynamic awareness; CHARACTER ASSESSMENT; SCENIC BEAUTY; EIA SYSTEMS; EEG; TRACKING; QUALITY; DESIGN; IMPACT; POWER;
D O I
10.1016/j.eiar.2023.107081
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In order to quantify the aesthetic attraction of visual elements of highway landscape space, the concept of visual attraction intensity of highway landscape space is proposed, and the factors and indicators of visual attraction elements are clarified. Based on the perspective of human factors, taking passengers as the main attraction, taking 30 landscape elements from three typical highway landscape scenes, namely mountain highway land-scape, plain highway landscape and elevated highway landscape, as the research object. The real-time evaluation and data processing system of subjective landscape preference has been independently developed, and combined with the processing and analysis of human-machine-environment synchronous quantitative analysis technology and in-depth learning, a "subjective+objective" quantitative evaluation model of highway landscape visual element attraction intensity based on dynamic perception has been constructed, revealing the quantitative relationship between highway landscape visual attraction elements and attraction intensity, The quantitative method and action law of the attraction intensity of highway landscape and the dynamic aesthetic perception of the attraction subject is clarified. It is found that the change of highway planning alignment, high green view rate and low enclosure have positive effects on the subjective preference score of the landscape (0.690), and there is a significant positive correlation between green view rate and enclosure; the richer the landscape elements such as mountains, trees and water bodies, the stronger the visual attraction, but the complexity of the landscape ele-ments increases the cognitive load of the area of interest. Among the physiological indicators, there are signif-icant correlations between EEG and ECG (0.790), EDA and ECG (0.632), and subjective preference and passengers' eye-movement behavior and EDA; as well as the change pattern of attraction intensity based on the dynamic perception of tunnel area. The results show that the attraction intensity of visual elements of highway landscape space based on dynamic perception is consistent with human aesthetic preference, visual perception and physiological response, which verifies the scientificity, appropriateness and accuracy of eye-movement analysis method and physiological analysis method for quantitative evaluation of aesthetic preference of high-way landscape.
引用
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页数:19
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共 100 条
[1]   Aesthetic quality modeling of the form of natural elements in the environment of urban parks [J].
Aboufazeli, Sahar ;
Jahani, Ali ;
Farahpour, Mehdi .
EVOLUTIONARY INTELLIGENCE, 2024, 17 (01) :327-338
[2]   Deep in thought while driving: An EEG study on drivers' cognitive distraction [J].
Almahasneh, Hossam ;
Chooi, Weng-Tink ;
Kamel, Nidal ;
Malik, Aamir Saeed .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2014, 26 :218-226
[3]  
[白骅 Bai Hua], 2022, [中国公路学报, China Journal of Highway and Transport], V35, P273
[4]   Introducing landscape character assessment and the ecosystem service approach to India: A case study [J].
Bartlett, D. ;
Gomez-Martin, E. ;
Milliken, S. ;
Parmer, D. .
LANDSCAPE AND URBAN PLANNING, 2017, 167 :257-266
[5]   A continuous measure of phasic electrodermal activity [J].
Benedek, Mathias ;
Kaernbach, Christian .
JOURNAL OF NEUROSCIENCE METHODS, 2010, 190 (01) :80-91
[6]   Exploring the effect of urban features and immediate environment on body responses [J].
Benita, Francisco ;
Tuncer, Bige .
URBAN FORESTRY & URBAN GREENING, 2019, 43
[7]   Visual characteristics of roads: A literature review of people's perception and Norwegian design practice [J].
Blumentrath, Christina ;
Tveit, Mari Sundli .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2014, 59 :58-71
[8]  
Boon-Leng L, 2015, TENCON IEEE REGION
[9]   Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness [J].
Borghini, Gianluca ;
Astolfi, Laura ;
Vecchiato, Giovanni ;
Mattia, Donatella ;
Babiloni, Fabio .
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 2014, 44 :58-75
[10]   Fuzzy-based computational intelligence to support screening decision in environmental impact assessment: A complementary tool for a case-by-case project appraisal [J].
Bressane, Adriano ;
da Silva, Pedro Modanez ;
Fiore, Fabiana Alves ;
Carra, Thales Andres ;
Ewbank, Henrique ;
De-Carli, Bruno Paes ;
da Mota, Mauricio Tavares .
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2020, 85