Author
Listed:
- Zixin Huang
(Interaction Design Lab, Graduate School of Techno Design, Kookmin University, Seoul 02707, Republic of Korea)
- Yuming Wang
(Interaction Design Lab, Graduate School of Techno Design, Kookmin University, Seoul 02707, Republic of Korea)
- Junghyun Heo
(Department of AI Design, College of Design, Kookmin University, Seoul 02707, Republic of Korea)
Abstract
Underground heritage represents a hidden urban resource for cultural regeneration and sustainable tourism, preserving historical layers, wartime memory, and local identity. Positioning the shelters as a form of Underground Built Heritage (UBH), this study examines how concealed civil-defense spaces can be reinterpreted as local cultural heritage resources before systematic reuse. However, enclosed and unfamiliar spaces are often perceived as risky, making adaptive reuse socially sensitive. This study investigates Jingdezhen’s underground air-raid shelters through a scenario-based survey and partial least squares structural equation modeling (PLS-SEM). Using an extended Value-Attitude-Behavior (VAB) framework incorporating perceived authenticity, anticipated affective identification, safety assurance, and perceived risk, this study identifies factors influencing pre-development public acceptance. Results show that public acceptance is shaped by cognitive evaluation of value and anticipated affective identification, while perceived risk constrains behavioral intentions. Perceived authenticity enhances value perception and anticipated affective identification; perceived value strengthens attitudes; safety assurance shows a small but statistically significant negative association with perceived risk, although most variance in perceived risk remains unexplained; and an exploratory moderation analysis further suggested that perceived risk may weaken the attitude–visit intention relationship. Although the estimated model showed a relatively high SRMR, the results are interpreted as prediction-oriented ex ante evidence rather than as a covariance-based model with strong global fit. These findings provide prediction-oriented ex ante evidence for the sustainable reuse of underground heritage, supporting heritage interpretation, risk management, and urban regeneration aligned with SDG 11.
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