UDTR — Radar mondial des droits de la Nature

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

Identification

Clé publique

radar:r-a0ec601a072465316de681718b74deb5

Auteurs

Mahda Foroughi · Tong Wang · Ana Pereira Roders

Année déclarée

2025

Langue déclarée

en

Type source

article

Première détection

2026-11-14T02:05:24.593607+00:00

Dernière observation des métadonnées

2026-11-14T02:05:24.593607+00:00

Dernière vérification HTTP

Non effectuée

Institutions déclarées par la source

Delft University of Technology

Pays d’affiliation déclarés

NL

Résumé documentaire — langue originale

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.

Identifiants

OPENALEX

https://openalex.org/W4406369996

DOI

10.17645/up.8724

Repères documentaires

Famille documentaire

article

Types déclarés par les sources

article

Éditeurs

Cogitatio

Les mentions d’entités ne constituent pas une preuve de reconnaissance juridique. La juridiction étudiée est distincte du pays d’affiliation des auteurs.

Sources

OpenAlex · Document 1

• Document · https://doi.org/10.17645/up.8724

Statut documentaire

Pertinence à examiner

Bibliothèque

Cette identité n’est pas encore intégrée à la Bibliothèque juridique.