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M. Foroughi
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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.
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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.
Capturing experts’ knowledge in heritage planning enhanced by AI
A case study of windcatchers in Yazd, Iran
Experts have always played an important role in heritage planning, practice, and theory. There is a wealth of literature published every year regarding heritage and its cultural significance. Experts also contribute to heritage planning and developing policy documents. Still, literature is rarely used as a source of primary research to systematically reveal and compare experts’ opinions on the cultural significance of built heritage. Analyzing them as a whole is costly and time-consuming, especially on built heritage, when much has been written about. While the automation of methods has proven to mitigate such restrictions in other fields, as digital humanities, their application in heritage planning, practice, and theory is still scarce. Hence, this paper aims to investigate the potentials of AI models (e.g., multi label text classification) in analyzing scientific documents, revealing the cultural significance of built heritage, values and attributes. This was done to better understand the similarities and differences between the experts’ opinions. Yazd, Iran, is taken a case study, with a particular focus on windcatchers, a key attribute conveying cultural significance, of outstanding universal value, due to its inscription on the UNESCO World Heritage List. This paper has three subsequent phases: 1) state of the art on the application of AI in heritage planning; 2) methodology of data collection and data analysis related to coding values and attributes of windcatchers, addressed in relevant documents; 3) preliminary findings on the experts’ opinions over values and attributes of windcatchers. Results contribute to the scientific discussion, revealing the cultural significance of windcatchers of Yazd from experts’ point of view. Besides, the potential of AI for heritage planning is revealed in terms of (de)coding and measuring the cultural significance of built heritage from the available documents, showing the opinions of experts with various backgrounds. This model can be applied to other key attributes in Yazd and other case studies and scales to support heritage planning, practice, and theory.
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Experts have always played an important role in heritage planning, practice, and theory. There is a wealth of literature published every year regarding heritage and its cultural significance. Experts also contribute to heritage planning and developing policy documents. Still, literature is rarely used as a source of primary research to systematically reveal and compare experts’ opinions on the cultural significance of built heritage. Analyzing them as a whole is costly and time-consuming, especially on built heritage, when much has been written about. While the automation of methods has proven to mitigate such restrictions in other fields, as digital humanities, their application in heritage planning, practice, and theory is still scarce. Hence, this paper aims to investigate the potentials of AI models (e.g., multi label text classification) in analyzing scientific documents, revealing the cultural significance of built heritage, values and attributes. This was done to better understand the similarities and differences between the experts’ opinions. Yazd, Iran, is taken a case study, with a particular focus on windcatchers, a key attribute conveying cultural significance, of outstanding universal value, due to its inscription on the UNESCO World Heritage List. This paper has three subsequent phases: 1) state of the art on the application of AI in heritage planning; 2) methodology of data collection and data analysis related to coding values and attributes of windcatchers, addressed in relevant documents; 3) preliminary findings on the experts’ opinions over values and attributes of windcatchers. Results contribute to the scientific discussion, revealing the cultural significance of windcatchers of Yazd from experts’ point of view. Besides, the potential of AI for heritage planning is revealed in terms of (de)coding and measuring the cultural significance of built heritage from the available documents, showing the opinions of experts with various backgrounds. This model can be applied to other key attributes in Yazd and other case studies and scales to support heritage planning, practice, and theory.
Capturing public voices
The role of social media in heritage management
Social media platforms have been increasingly used by locals and tourists to express their opinions about buildings, cities, and built heritage in particular. Most recently, scholars have been using social media to conduct innovative research on built heritage and heritage management. Still, the application of artificial intelligence (AI) methods to analyze social media data for heritage management is seldom explored. This paper investigates the potentials of short texts (sentences and hashtags) shared through social media as a data source and artificial intelligence methods for data analysis for revealing the cultural significance (values and attributes) of built heritage. The city of Yazd, Iran was taken as a case study, with the particular focus on windcatchers, key attributes conveying outstanding universal values, as inscribed on the UNESCO World Heritage List. This paper has three subsequent phases: 1) state of the art on the intersection of public participation in heritage management and social media research; 2) methodology of data collection and data analysis related to coding people's voices from Instagram and Twitter into values of windcatchers over the last ten-years; 3) preliminary findings on the comparison between opinions of locals and tourists, sentiment analysis, and its association with the values and attributes of windcatchers. Results indicate that the age value is recognized as the most important value by all interest groups, while the political value is the least acknowledged. Besides, the negative sentiments are scarcely reflected (e.g., critiques) in social media. Results confirm the potential of social media for heritage management in terms of (de)coding and measuring the cultural significance of built heritage for windcatchers and also other attributes in Yazd and other case studies and scales.
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Social media platforms have been increasingly used by locals and tourists to express their opinions about buildings, cities, and built heritage in particular. Most recently, scholars have been using social media to conduct innovative research on built heritage and heritage management. Still, the application of artificial intelligence (AI) methods to analyze social media data for heritage management is seldom explored. This paper investigates the potentials of short texts (sentences and hashtags) shared through social media as a data source and artificial intelligence methods for data analysis for revealing the cultural significance (values and attributes) of built heritage. The city of Yazd, Iran was taken as a case study, with the particular focus on windcatchers, key attributes conveying outstanding universal values, as inscribed on the UNESCO World Heritage List. This paper has three subsequent phases: 1) state of the art on the intersection of public participation in heritage management and social media research; 2) methodology of data collection and data analysis related to coding people's voices from Instagram and Twitter into values of windcatchers over the last ten-years; 3) preliminary findings on the comparison between opinions of locals and tourists, sentiment analysis, and its association with the values and attributes of windcatchers. Results indicate that the age value is recognized as the most important value by all interest groups, while the political value is the least acknowledged. Besides, the negative sentiments are scarcely reflected (e.g., critiques) in social media. Results confirm the potential of social media for heritage management in terms of (de)coding and measuring the cultural significance of built heritage for windcatchers and also other attributes in Yazd and other case studies and scales.
Heritage Beyond Singular Narratives
Embracing Diversity in Participatory Heritage Planning Empowered by Artificial Intelligence
This PhD thesis explores the evolving field of heritage planning, focusing on the cultural significance of heritage properties. It advocates for a value-based approach that recognizes the diverse perspectives of stakeholders, including experts, policymakers, and users. While participatory heritage aims to foster consensus-building, tensions may arise due to varying cultural significance conveyed by different stakeholder groups. Conventional research methods are time-consuming and costly, limiting their effectiveness in heritage planning. To address this gap, this research aims to utilize Artificial Intelligence (AI) models and information repositories, such as social media platforms, to understand the cultural significance of built heritage from different stakeholder groups’ perceptions.
This research presents a theoretical framework that examines the factors influencing consensus-building on heritage values and attributes. Based on this framework, a public participation methodology empowered by AI is developed and tested in the case study of windcatchers in Yazd, Iran. This study compares the perceptions of three stakeholder groups: experts, policymakers, and users. The findings reveal consensus on the value of windcatchers while highlighting differing interpretations of their significance.
The AI-empowered methodology proves effective in uncovering stakeholder groups' understanding of cultural significance. This framework can be replicated in other case studies, facilitating participatory heritage practices. The thesis contributes to knowledge in public participation, cultural significance, and AI in heritage planning, offering insights for practitioners and policymakers to promote inclusive heritage practices. It emphasizes the importance of stakeholders' contributions and advocates for a more diverse and inclusive approach to heritage planning.
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This PhD thesis explores the evolving field of heritage planning, focusing on the cultural significance of heritage properties. It advocates for a value-based approach that recognizes the diverse perspectives of stakeholders, including experts, policymakers, and users. While participatory heritage aims to foster consensus-building, tensions may arise due to varying cultural significance conveyed by different stakeholder groups. Conventional research methods are time-consuming and costly, limiting their effectiveness in heritage planning. To address this gap, this research aims to utilize Artificial Intelligence (AI) models and information repositories, such as social media platforms, to understand the cultural significance of built heritage from different stakeholder groups’ perceptions.
This research presents a theoretical framework that examines the factors influencing consensus-building on heritage values and attributes. Based on this framework, a public participation methodology empowered by AI is developed and tested in the case study of windcatchers in Yazd, Iran. This study compares the perceptions of three stakeholder groups: experts, policymakers, and users. The findings reveal consensus on the value of windcatchers while highlighting differing interpretations of their significance.
The AI-empowered methodology proves effective in uncovering stakeholder groups' understanding of cultural significance. This framework can be replicated in other case studies, facilitating participatory heritage practices. The thesis contributes to knowledge in public participation, cultural significance, and AI in heritage planning, offering insights for practitioners and policymakers to promote inclusive heritage practices. It emphasizes the importance of stakeholders' contributions and advocates for a more diverse and inclusive approach to heritage planning.
Public participation and consensus-building in urban planning from the lens of heritage planning
A systematic literature review
Public participation has been growing in both theory and practice of urban planning, including heritage planning. The reasoning is to facilitate the involvement of a broader group of stakeholders, beyond experts. More specifically, for heritage planning, participation could enable consensus-building on defining the significance of heritage, namely attributes (the resources that should be listed as heritage), and values (the reasons that attributes are important). However, there is not yet a holistic understanding of the influencing factors behind consensus-building in the participatory planning processes for cultural heritage. To evaluate existing research from this angle, a systematic literature review was conducted on peer-reviewed articles using the Scopus database. As most of the studies focuse on urban planning, this research examines the factors influencing consensus-building in the participatory planning process applied to urban and heritage planning and reflects on the applicability of these factors in heritage planning. The main factors were identified inductively and grouped into two categories: 1) public participation: actors, methods, and levels of public participation, and 2) consensus: approaches, and conflicts. The relations between these factors and their frequencies are investigated using statistical analysis methods, namely frequency analysis, independent-samples t-test, and Spearman correlation. The literature confirms that urban planning has applied more diverse methods and tools for public participation compared to studies in the field of heritage planning, and could inspire heritage planning. Conflict is recognized as an intertwined concept with consensus which is considered either as a challenge or as a necessity for an inclusive decision-making. By proposing a framework integrating these factors and sub-factors and illustrating their relationships, this research could also be useful for decision-makers and practitioners to better tailor the public participation process and means to implement it, considering the relevant factors involved.
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Public participation has been growing in both theory and practice of urban planning, including heritage planning. The reasoning is to facilitate the involvement of a broader group of stakeholders, beyond experts. More specifically, for heritage planning, participation could enable consensus-building on defining the significance of heritage, namely attributes (the resources that should be listed as heritage), and values (the reasons that attributes are important). However, there is not yet a holistic understanding of the influencing factors behind consensus-building in the participatory planning processes for cultural heritage. To evaluate existing research from this angle, a systematic literature review was conducted on peer-reviewed articles using the Scopus database. As most of the studies focuse on urban planning, this research examines the factors influencing consensus-building in the participatory planning process applied to urban and heritage planning and reflects on the applicability of these factors in heritage planning. The main factors were identified inductively and grouped into two categories: 1) public participation: actors, methods, and levels of public participation, and 2) consensus: approaches, and conflicts. The relations between these factors and their frequencies are investigated using statistical analysis methods, namely frequency analysis, independent-samples t-test, and Spearman correlation. The literature confirms that urban planning has applied more diverse methods and tools for public participation compared to studies in the field of heritage planning, and could inspire heritage planning. Conflict is recognized as an intertwined concept with consensus which is considered either as a challenge or as a necessity for an inclusive decision-making. By proposing a framework integrating these factors and sub-factors and illustrating their relationships, this research could also be useful for decision-makers and practitioners to better tailor the public participation process and means to implement it, considering the relevant factors involved.
Dataset on the literature on public participation and consensus building
Bibliography and meta-analysis of selected studies
The data presented in this Data in Brief article offers an insight into the scientific literature on conceptual and empirical approaches to public participation and consensus-building. It consists of articles retrieved from the Scopus search engine which feature “public participation”, “consensus”, and “value and attribute” in the title, abstract, and author keywords. Information on the bibliography is recorded, namely title, author(s), year of publication, and source title. Metadata on how the articles were analyzed is provided in the dataset. From 121 publications, most literature (103) analyzes public participation through case studies. The studies were analyzed according to factors that were identified inductively and grouped in two categories: 1) public participation: actor, method, and level of public participation, and 2) consensus: approaches, conflict. The data is related to the research article entitled “Public participation and consensus-building in urban planning from the lens of heritage planning: A systematic literature review”. This paper focuses on the public participation factors as the factors on consensus are already explained in the main article. This paper shows which factors of participation were implemented in the analyzed studies. Given that, this article contributes to researchers and practitioners working on public participation because it reveals the diversity of approaches for consensus-building in public participation processes, which help them realize which level of participation they want to achieve and the means to reach it.
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The data presented in this Data in Brief article offers an insight into the scientific literature on conceptual and empirical approaches to public participation and consensus-building. It consists of articles retrieved from the Scopus search engine which feature “public participation”, “consensus”, and “value and attribute” in the title, abstract, and author keywords. Information on the bibliography is recorded, namely title, author(s), year of publication, and source title. Metadata on how the articles were analyzed is provided in the dataset. From 121 publications, most literature (103) analyzes public participation through case studies. The studies were analyzed according to factors that were identified inductively and grouped in two categories: 1) public participation: actor, method, and level of public participation, and 2) consensus: approaches, conflict. The data is related to the research article entitled “Public participation and consensus-building in urban planning from the lens of heritage planning: A systematic literature review”. This paper focuses on the public participation factors as the factors on consensus are already explained in the main article. This paper shows which factors of participation were implemented in the analyzed studies. Given that, this article contributes to researchers and practitioners working on public participation because it reveals the diversity of approaches for consensus-building in public participation processes, which help them realize which level of participation they want to achieve and the means to reach it.
Peoples’ values and feelings matter
Participatory heritage management using social media
Social media has been increasingly used by various communities to express their opinions, values, and feelings about cities and, in particular, built heritage. Social media platforms, interactive technologies used by virtual communities and networks became an important source for recent innovative studies on participatory heritage management. Amongst them, the application of artificial intelligence (AI) methods to analyze social media data for heritage management, in particular peoples’ feelings and their relation to cultural significance(values and attributes), is seldom explored. This chapter explores the potential of social media content as a data source and artificial intelligence methods to analyze people’s feelings and opinions about the cultural significance of built heritage. The city of Yazd, Iran, was taken as a case study, with a specific focus on windcatchers(architectural element used for natural ventilation), a key urban attribute also conveying outstanding universal value, ever since inscribed on the UNESCO World Heritage List in 2017. This chapter details: 1) the state of the art on participatory heritage management using social media; 2) the methodology to extract values and sentiments assigned to windcatchers on Instagram and Twitter posts over the last ten years; 3) and last, the preliminary findings on the values of windcatchers, sentiment and emotion analysis, and the association analysis between the values of windcatchers and emotions. Results indicate the most and least addressed categories of values and emotions. Moreover, some potential relations between values and emotions (e.g., economic, ecological, and scientific values with trust) are revealed. Besides, it became proven that negative sentiments over windcatchers of Yazd are scarcely expressed (e.g., critiques) in social media. This study confirms the potential of social media for heritage management in terms of (de)coding and measuring the values of heritage attributes and related feelings. This research is useful to the windcatchers in Yazd, but also replicable to other case studies and scales.
...
Social media has been increasingly used by various communities to express their opinions, values, and feelings about cities and, in particular, built heritage. Social media platforms, interactive technologies used by virtual communities and networks became an important source for recent innovative studies on participatory heritage management. Amongst them, the application of artificial intelligence (AI) methods to analyze social media data for heritage management, in particular peoples’ feelings and their relation to cultural significance(values and attributes), is seldom explored. This chapter explores the potential of social media content as a data source and artificial intelligence methods to analyze people’s feelings and opinions about the cultural significance of built heritage. The city of Yazd, Iran, was taken as a case study, with a specific focus on windcatchers(architectural element used for natural ventilation), a key urban attribute also conveying outstanding universal value, ever since inscribed on the UNESCO World Heritage List in 2017. This chapter details: 1) the state of the art on participatory heritage management using social media; 2) the methodology to extract values and sentiments assigned to windcatchers on Instagram and Twitter posts over the last ten years; 3) and last, the preliminary findings on the values of windcatchers, sentiment and emotion analysis, and the association analysis between the values of windcatchers and emotions. Results indicate the most and least addressed categories of values and emotions. Moreover, some potential relations between values and emotions (e.g., economic, ecological, and scientific values with trust) are revealed. Besides, it became proven that negative sentiments over windcatchers of Yazd are scarcely expressed (e.g., critiques) in social media. This study confirms the potential of social media for heritage management in terms of (de)coding and measuring the values of heritage attributes and related feelings. This research is useful to the windcatchers in Yazd, but also replicable to other case studies and scales.
Public Participation as a Tool to reach a Consensus
A Critical Reflection on the Historic Urban Landscape Approach
World Heritage cities (WHC), meaning urban areas, often in part, inscribed at the UNESCO World Heritage list are valuable heritages to many local and global communities and, therefore, attract efforts to conserve them. Nonetheless, these cities are increasingly under pressure, by globalization, climate change, and tourism. An integral approach, interlinking urban development, and conservation, as proposed by the 2011 UNESCO Recommendation on the Historic Urban Landscape (HUL approach), foreseen to promote a more sustainable development. This means that public participation plays an essential role in consensus building among the varied stakeholders on related decision making processes, in particular on what is a heritage (attributes) in their city and why (values) to be conserved.The HUL approach underlines people‘s role by proposing public participation as a tool, recommending authorities to involve the community in their urban and heritage management processes. Being an international recommendation, the HUL approach does not specify a framework for public participation, nor reference the critical factors affecting the public participation processes, as these are expected to differ, depending on the context. It does reference the aim for consensus specificly to the cultural significance (attributes and values) of the city among all stakeholders.This paper aims to present the results of a part of a systematic literature review, revealing the knowledge and gaps in the state-of-the-art in studies that focus on public participation as a tool to reach consensus. The eligible studies were evaluated on four criteria: 1) context and field of the project, 2) public participation process,
3) consensus. Besides highlighting its conceptual complexities and contradictions, this paper also puts forward recommendations to guide future research. Results can be relevant for cities seeking public participation frameworks to implement the HUL approach.
...
3) consensus. Besides highlighting its conceptual complexities and contradictions, this paper also puts forward recommendations to guide future research. Results can be relevant for cities seeking public participation frameworks to implement the HUL approach.
...
World Heritage cities (WHC), meaning urban areas, often in part, inscribed at the UNESCO World Heritage list are valuable heritages to many local and global communities and, therefore, attract efforts to conserve them. Nonetheless, these cities are increasingly under pressure, by globalization, climate change, and tourism. An integral approach, interlinking urban development, and conservation, as proposed by the 2011 UNESCO Recommendation on the Historic Urban Landscape (HUL approach), foreseen to promote a more sustainable development. This means that public participation plays an essential role in consensus building among the varied stakeholders on related decision making processes, in particular on what is a heritage (attributes) in their city and why (values) to be conserved.The HUL approach underlines people‘s role by proposing public participation as a tool, recommending authorities to involve the community in their urban and heritage management processes. Being an international recommendation, the HUL approach does not specify a framework for public participation, nor reference the critical factors affecting the public participation processes, as these are expected to differ, depending on the context. It does reference the aim for consensus specificly to the cultural significance (attributes and values) of the city among all stakeholders.This paper aims to present the results of a part of a systematic literature review, revealing the knowledge and gaps in the state-of-the-art in studies that focus on public participation as a tool to reach consensus. The eligible studies were evaluated on four criteria: 1) context and field of the project, 2) public participation process,
3) consensus. Besides highlighting its conceptual complexities and contradictions, this paper also puts forward recommendations to guide future research. Results can be relevant for cities seeking public participation frameworks to implement the HUL approach.
3) consensus. Besides highlighting its conceptual complexities and contradictions, this paper also puts forward recommendations to guide future research. Results can be relevant for cities seeking public participation frameworks to implement the HUL approach.