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Deciphering Motorists’ Perceptions of Scenic Road Visual Landscapes: Integrating Binocular Simulation and Image Segmentation

Author

Listed:
  • Zhaocheng Bai

    (College of Landscape Architecture and Horticulture, Southwest Forestry University, Kunming 650224, China)

  • Rui Ji

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Jun Qi

    (College of Landscape Architecture and Horticulture, Southwest Forestry University, Kunming 650224, China
    Southwest Research Center for Landscape Architecture Engineering, State Forestry and Grassland Administration, Kunming 650224, China)

Abstract

Traditional scenic road visual landscape assessment methods struggle to quantify drivers’ subjective visual perceptions. This study aims to develop a new method to decipher Scenic Road Visual Landscape Evaluation (SRVLE) of motorists’ visual field, reconciling the longstanding subjectivity–objectivity dichotomy in landscape quality research. By adopting binocular visual simulation and image segmentation, this paper conceptualizes a novel “non-scale semantic differential approach” to quantify landscape qualities across the dimensions of naturalness–artificiality (NA), diversity–coherence (DC), and openness–deepness (OD), constructing a three-dimensional visual landscape quality evaluation system. Taking the Nujiang Beautiful Road in Yunnan as a case study, the results show the following: (1) The three indicators reveal the scenic road’s distinctive visual landscape characteristics, marked by high naturalness, coherence, and relative openness. (2) SRVLE is found to vary between the two driving directions and different sections. (3) The three-dimensional evaluation cube intuitively displays the comprehensive characteristics of landscape quality, providing a basis for scenic road planning. This method offers a new approach to resolving the subjective–objective divide in SRVLE and can assist road administrations in enhancing policy planning, construction, and management, thereby promoting the high-quality development of scenic roads.

Suggested Citation

  • Zhaocheng Bai & Rui Ji & Jun Qi, 2024. "Deciphering Motorists’ Perceptions of Scenic Road Visual Landscapes: Integrating Binocular Simulation and Image Segmentation," Land, MDPI, vol. 13(9), pages 1-21, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:9:p:1381-:d:1466231
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    References listed on IDEAS

    as
    1. Jiekuan Zhang & Yan Zhang, 2022. "Tourism, transport infrastructure and income inequality: A panel data analysis of China," Current Issues in Tourism, Taylor & Francis Journals, vol. 25(10), pages 1607-1626, May.
    2. Zhi Yue & Ying Zhong & Zhouxiao Cui, 2022. "Respondent Dynamic Attention to Streetscape Composition in Nanjing, China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    3. Iga Solecka, 2019. "The use of landscape value assessment in spatial planning and sustainable land management — a review," Landscape Research, Taylor & Francis Journals, vol. 44(8), pages 966-981, November.
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