In Praise of Diversity in Participatory Heritage Planning Empowered by Artificial Intelligence

Windcatchers in Yazd

Bibliographic Data

ID22018050
AuthorsMahda Foroughi (0000-0001-6051-6058, Delft University of Technology), Tong Wang (0000-0002-9483-0050, Delft University of Technology), Ana Pereira Roders (0000-0003-2571-9882, Delft University of Technology)
Year2025
Volume10
Publication date2025-01-21
Open AccessYes
TypeARTICLE
VenueUrban Planning (JOURNAL)
Journal identifiersISSN: 2183-7635 • E-ISSN: 2183-7635
PublisherCogitatio (PUBLISHER • PT)
DOI10.17645/up.8724
OpenAlexW4406369996
LanguageEN
Citations received5
References cited46

Heritage planning is changing, in both theory and practice. There is greater attention to the cultural significance (values and attributes) conveyed to a heritage property, rather than focusing on the property alone. Identifying and revealing this cultural significance has become a critical step in heritage planning. Moreover, international guidelines increasingly encourage public participation in defining the cultural significance of heritage sites. However, effectively involving diverse stakeholders and capturing the cultural significance they attribute to heritage remains a challenge, particularly when dealing with extensive datasets and multiple stakeholders. Although automated methods have shown potential in fields like digital humanities, their application in heritage planning is still limited. This article explores the innovative use of artificial intelligence (AI), particularly text classification analysis, to analyze unstructured textual data (e.g., policy documents, literature, and social media) to uncover the cultural significance of built heritage. Focusing on Yazd, Iran, and specifically on windcatchers—a key cultural attribute recognized for its “outstanding universal value” by UNESCO—this study integrates AI to enhance both urban and socio-cultural planning. This article, as the concluding piece of a broader research project, synthesizes the project’s findings to highlight AI’s potential for inclusive heritage planning, referencing related publications of the same project to provide context while remaining concise. The research is structured in three phases: first, a literature review on AI applications in participatory heritage planning and value-based heritage planning; second, the methodology for data collection and analysis, including coding and comparing values and attributes of windcatchers conveyed by different stakeholders; and third, findings on the values and attributes, and their interrelationships as revealed through the data. The results confirm that while there are both conflicts and alignments in the cultural significance attributed to windcatchers in Yazd among various stakeholders, the theoretical framework presented here offers a valuable tool for heritage planning. By decoding and measuring cultural significance from diverse perspectives, this framework aids in identifying conflicts and alignments and in better aligning stakeholder perspectives. This model can be adapted to other key attributes in Yazd and other case studies, offering broader applications in heritage planning. Additionally, the findings underscore the potential of AI to evaluate the legislative framework’s effectiveness in enhancing public engagement

Archaeology · Citizen journalism · Cultural heritage · Cultural heritage management · Geography · Knowledge management · Sociology · World Wide Web · Archaeological Research and Protection · Computer Science · Conservation Techniques and Studies · Cultural Heritage Management and Preservation

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