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<p>Existing industrial heritage research focuses on conservation and adaptive reuse, often relying on case comparisons, policy analysis, with limited attention to how landscape features shape public perception and behavior. Using Beijing Shougang Industrial Heritage Park as a case study, a multi-source framework integrates semantic analysis, surveys, interviews, eye-tracking, and subjective evaluations to quantify the differentiated effects of six landscape element categories on visual attention, interest, and dwell duration. Specifically, two regression models—the “Average Interest Level” model and the “Average Dwell Duration” model—were constructed, and all reported values represent their corresponding standardized coefficients. Facade elements (interest: 0.198; dwell duration: 0.099) and vegetation and greening elements (0.111; 0.199) exhibit positive associations with visual interest and dwell duration, whereas urban furniture (–0.038; –0.218) and paved surfaces (–0.088; –0.098) are negatively associated with these indicators. Way-finding systems show a relatively stronger association with dwell duration (0.124) than with visual interest (0.045). Notably, industrial heritage elements, despite their symbolic and cultural significance, exhibit weak negative associations with visual interest (β =  − 0.018) and dwell duration (β =  − 0.077). This finding challenges the common assumption that heritage features inherently enhance visitor engagement and suggests that symbolic significance does not necessarily translate into perceptual salience. Their limited perceptual prominence may be associated with material homogeneity, large spatial scale, and low detail legibility. Grounded in the Space–Perception–Behavior (S–P–B) framework, the study identifies three potential explanatory mechanisms linking spatial attributes, perception, and behavioral preferences. The findings contribute to perception-based industrial heritage research by highlighting the mismatch between symbolic value and perceptual engagement and provide empirical support for experience-oriented regeneration and landscape design strategies.</p>

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Decoding perceptions and behavioral preferences in industrial heritage landscapes: a multi-source study of Shougang Park, Beijing

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月3日

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  • Xiaomin Wang,
  • Xiangru Chen,
  • Chao Yang,
  • Gaolin Fan,
  • Ziliang Lu,
  • Jiating Duan

摘要

Existing industrial heritage research focuses on conservation and adaptive reuse, often relying on case comparisons, policy analysis, with limited attention to how landscape features shape public perception and behavior. Using Beijing Shougang Industrial Heritage Park as a case study, a multi-source framework integrates semantic analysis, surveys, interviews, eye-tracking, and subjective evaluations to quantify the differentiated effects of six landscape element categories on visual attention, interest, and dwell duration. Specifically, two regression models—the “Average Interest Level” model and the “Average Dwell Duration” model—were constructed, and all reported values represent their corresponding standardized coefficients. Facade elements (interest: 0.198; dwell duration: 0.099) and vegetation and greening elements (0.111; 0.199) exhibit positive associations with visual interest and dwell duration, whereas urban furniture (–0.038; –0.218) and paved surfaces (–0.088; –0.098) are negatively associated with these indicators. Way-finding systems show a relatively stronger association with dwell duration (0.124) than with visual interest (0.045). Notably, industrial heritage elements, despite their symbolic and cultural significance, exhibit weak negative associations with visual interest (β =  − 0.018) and dwell duration (β =  − 0.077). This finding challenges the common assumption that heritage features inherently enhance visitor engagement and suggests that symbolic significance does not necessarily translate into perceptual salience. Their limited perceptual prominence may be associated with material homogeneity, large spatial scale, and low detail legibility. Grounded in the Space–Perception–Behavior (S–P–B) framework, the study identifies three potential explanatory mechanisms linking spatial attributes, perception, and behavioral preferences. The findings contribute to perception-based industrial heritage research by highlighting the mismatch between symbolic value and perceptual engagement and provide empirical support for experience-oriented regeneration and landscape design strategies.