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.@en

Purpose
Interventions are essential for the management of built heritage because they extend the lifespan of buildings and enable them to be enjoyed by multiple generations. International organisations and institutions, such as UNESCO and ICOMOS, have adopted doctrinal documents over time, stimulating best practices in built heritage management worldwide. Although these documents are often referenced in academic work, they are seldom systematically researched. Which interventions are referenced or omitted? Are they defined? What trends are noted in the understanding of best practices as interventions?

Design/methodology/approach
This research consists of a systematic content analysis of nine international doctrinal documents, which were selected from nearly seventy international doctrinal documents—mainly adopted by UNESCO and ICOMOS. The main aim is to reveal and compare the concepts used for reference interventions and further use the definitions to reveal and discuss the relationships between them. The trends of these interventions being used were determined based on the frequency of mentions per intervention term in the selected documents.

Findings
Regarding the definition of the intervention concepts, there are three main findings. First, instead of being treated as a single concept, ‘conservation’ has been presented as an umbrella concept for other interventions and thus has been the most popular concept since the first version (1992) of the New Zealand Charter was implemented. In contrast, ‘preservation’ remains a single concept, among the highest scales, to maintain the integrity of built heritage, including use. Second, ‘repair’ was found to play a paradoxical role between ‘restoration’ and ‘reconstruction’, which created divergent opinions in the documents. Third, since the notions of ‘use’ have expanded from the functions of monuments (International Charter for the Conservation and Restoration of Monuments and Sites: The Venice Charter, 1964) to the ‘associations of places’ (The Burra Charter: The Australia ICOMOS Charter for Places of Cultural Significance, with associated Guidelines and Code on the Ethics of Co-existence, 1999; The Burra Charter: The Australia ICOMOS Charter for Places of Cultural Significance, 2013), which include activities, traditional habits, accessibility, etc., the complexity of mentioning different forms of ‘use’ has led to some (re)interventions, such as ‘adaptation’, ‘adaptive reuse’, and ‘rehabilitation’, being put into grey areas and used interchangeably.

Originality
This research advances the current understanding of intervention concepts and their relationships, as well as differences and similarities in definitions.@en

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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Much of the building stock subjected to the upcoming European Renovation Wave is neither listed as heritage nor considered valuable architecture. This also applies to Dutch housing built between 1965 and 1985, more than 30% of the Dutch housing stock, for which there is no consensus on their cultural significance. Their successful renovation process requires broad support. What attributes do citizens consider significant in their neighbourhood? How do we include a multitude of stakeholders? And can digital methods help collect and process responses? This article reveals significant attributes of residential neighbourhoods from 1965 to 1985, assessed by various stakeholders with a digital tool based on case studies in Amsterdam and Almere. A mobile application allowed individuals to identify significant attributes at various scales while visiting the neighbourhood. By qualitative data analysis of survey and interview results, groups of tangible and intangible attributes were deduced. Results show that identifying attributes by current stakeholders broadens existing expert-led assessments on 1965–1985 neighbourhoods by including, for example, generic attributes not originally intended by the designers. Asking open-ended questions is considered essential to identify undiscovered attributes by alternative stakeholders, although dealing with large numbers of responses is recognised as a challenge to cluster and classify. Lastly, the mobile application appears to be a useful digital tool, but integrating scientific consistency and usability is recommended for further development. Engaging multiple stakeholders with such mobile applications allows for collecting opinions, anticipating conflicts, or shared interests between stakeholders and integration into renovation designs. It can empower citizens to preserve the neighbourhood attributes that are most significant to them.@en

We propose a mathematical framework for developing social-choice games that are designed to mediate decision-making processes for city planning, urban area redevelopment, and architectural configuration of urban housing complexes. The proposed framework features a digital serious gaming approach for participatory design to support transparency and inclusion in the process of decision-making and ensure an equitable balance of sustainable development goals in spatial design outcomes. The mathematical process consists of a Markovian design machine for balancing the design decisions of actors, a massing configurator equipped with fuzzy logic and multi-criteria decision analysis, algebraic graph-theoretical accessibility evaluators, and automated solar-climatic evaluators using geospatial computational geometry. We demonstrate the effectiveness of the framework by implementing a multi-player online game that facilitates a participatory decision-making workshop for forming multi-functional building complexes by providing a generative configurator equipped with automated appraisal/scoring mechanisms for revealing the aggregate impact of alternatives. The EquiCity game empowers a group of decision-makers to reach a fair consensual spatial design by mathematically simulating many rounds of reasonable trade-offs between their decisions, with different levels of interest or control over various types of investments. The novelty of the framework is in its capability to encompass decision-making about the most idiosyncratic aspects of a site related to its heritage status and cultural significance to the most generic aspects such as balancing access to sunlight for the site while respecting ‘the right to sunlight’ of the neighbours of the site, ensuring coherence of the entire configuration with regards to a network of desired closeness ratings, the satisfaction of a programme of requirements, and intricately balancing individual development goals in conjunction with communal goals and environmental design codes.

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As urbanization accelerates, World Heritage properties, critical conservation areas, face a growing threat of urban densification, jeopardizing their Outstanding Universal Value (OUV). States Parties, the countries that have ratified the World Heritage Convention, are responsible for submitting periodic reports on the state-of-conservation of their World Heritage properties. These reports should explicitly address any instances of urban densification that may be occurring. But do they? This research investigates the relationship between urban densification and reporting practices in World Heritage properties over time and space. Through a spatiotemporal analysis, by analyzing changes in the built-up area within the core zones of cultural World Heritage properties from 1985 to 2015. We found that urban development, including housing, infrastructure, and tourism facilities, has significantly impacted World Heritage properties and an increase in built-up area can be observed especially in properties not reporting on urban threats.@en

Cultural heritage, especially those inscribed on the UNESCO World Heritage List, is meant to be valued by mankind and protected for future generations. Triggered by radical and sometimes disastrous Heritage-Related Events (HREs), communities around the world are actively involved on social media to share their opinions and emotional attachments. This paper presents exploratory data analyses on a dataset collected from Twitter concerning HREs in World Heritage that triggered global concerns, with cases of the Notre Dame Paris fire and the Venice flood, both in 2019. The spatiotemporal patterns of tweeting behaviours of online communities before, during, and after the event demonstrate a clear distinction of activation levels caused by the HREs. The dominant emotions and topics of people during the online debate are detected and visualized with pre-trained deep-learning models and unsupervised clustering algorithms. Clear spatiotemporal dynamics can be observed from the data collected in both case studies, while each case also demonstrated its specific characteristics due to the different severity. The methodological framework proposed and the analytical outcomes obtained in this paper could be used both in urban studies to mine the public opinions about HREs and other urban events for reducing risks, and by the Geo-AI community to test spatiotemporal clustering algorithms.@en

The growing complexity of managing the sustainable development of cities stresses the need for interdisciplinary approaches, with a stronger articulation between different fields. The integration between heritage conservation and spatial planning has already been addressed in recent literature, ranging from a traditional sectorial perspective towards more cooperative and coordinated initiatives, occasionally resulting in integrated policies. Nevertheless, the lack of institutional and policy articulation remains among the most frequent critical governance issues unsolved. This paper unveils the integration degrees between heritage conservation and spatial planning policies in Amsterdam (The Netherlands) and Ballarat (Australia), acknowledged for local and upper governmental initiatives, such as the Belvedere Memorandum and the Imagine Ballarat project, placing both at the forefront of the roadmap to this policy integration. In-depth semi-structured interviews with municipal officials in both cities reveal that, while policy integration is aimed at, implementation remains challenging. Both cities’ heritage conservation and spatial planning fields keep operating in parallel, often in conflict, and with different perspectives on the cultural heritage commonly managed. By identifying local technicians’ challenges, this research demonstrates that policy integration between heritage conservation and spatial planning is an ongoing process that demands more effective articulation towards more sustainable and resilient cities.@en

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 role of heritage buildings in pursuing a more sustainable built environment has been widely discussed in the last decades, from their importance to cohesive and inclusive communities to their contribution to resources conservation and therefore to reducing materials-related carbon emissions. Norms, policies, standards, and design-aid tools have been developed to encourage urban conservation, but a question persists: why are best practices not yet widely implemented? Decision-making processes have an intrinsic behavioural dimension. Decisions are influenced not only by conscious and rational factors related to heritage buildings and their adaptive reuse, but also by a conjugation of social, psychological, and emotional factors related to the designer. This research uses the “Theory of Planned Behaviour” to analyse architects’ design decisions and reveal the common beliefs, challenges, and opportunities in the conservation of heritage buildings. The results show that while responsibility for the failure in the implementation of conservation is often attributed to third parties, individual attitudes and personal beliefs strongly correlate to the adopted behaviours and, thus, need to be targeted for effective change. Understanding the behavioural dimension of the decision-making process in the adaptive reuse of built heritage is essential to maximize the effect of tools and policies that support actual change toward the growth of a circular economy and a more sustainable future.@en

Purpose: Even if there is a wealth of research highlighting the key role of values and cultural significance for heritage management and, defining specific interventions on built heritage, seldom the relation to their leading values and values hierarchy have been researched. How do values and interventions relate? What values trigger most and least interventions on heritage? How do these values relate and characterize interventions? And what are the values hierarchy that make the interventions on built heritage differ? Design/methodology/approach: This paper conducts a systematic content analysis of 69 international doctrinal documents – mainly adopted by Council of Europe, UNESCO, and ICOMOS, during 1877 and 2021. The main aim is to reveal and compare the intervention concepts and their definitions, in relation to values. The intensity of the relationship between intervention concepts and values is determined based on the frequency of mentioned values per intervention. Findings: There were three key findings. First, historic, social, and aesthetical values were the most referenced values in international doctrinal documents. Second, while intervention concepts revealed similar definitions and shared common leading values, their secondary values and values hierarchy, e.g. aesthetical or social values, are the ones influencing the variation on their definitions. Third, certain values show contradictory roles in the same intervention concepts from different documents, e.g. political and age values. Originality/value: This paper explores a novel comparison between different interventions concepts and definitions, and the role of values. The results can contribute to support further research and practice on clarifying the identified differences.

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Mapping cultural significance of heritage properties in urban environment from the perspective of the public has become an increasingly relevant process, as highlighted by the 2011 UNESCO Recommendation on the Historic Urban Landscape (HUL). With the ubiquitous use of social media and the prosperous developments in machine and deep learning, it has become feasible to collect and process massive amounts of information produced by online communities about their perceptions of heritage as social constructs. Moreover, such information is usually inter-connected and embedded within specific socioeconomic and spatiotemporal contexts. This paper presents a methodological workflow for using semi-supervised learning with graph neural networks (GNN) to classify, summarize, and map cultural significance categories based on user-generated content on social media. Several GNN models were trained as an ensemble to incorporate the multi-modal (visual and textual) features and the contextual (temporal, spatial, and social) connections of social media data in an attributed multi-graph structure. The classification results with different models were aligned and evaluated with the prediction confidence and agreement. Furthermore, message diffusion methods on graphs were proposed to aggregate the post labels onto their adjacent spatial nodes, which helps to map the cultural significance categories in their geographical contexts. The workflow is tested on data gathered from Venice as a case study, demonstrating the generation of social perception maps for this UNESCO World Heritage property. This research framework could also be applied in other cities worldwide, contributing to more socially inclusive heritage management processes. Furthermore, the proposed methodology holds the potential of diffusing any human-generated location-based information onto spatial networks and temporal timelines, which could be beneficial for measuring the safety, vitality, and/or popularity of urban spaces.

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Although attention for citizen involvement in urban development and heritage management processes is growing, both in practice and in research, the specifics of stakeholders’ interests have been less researched. This paper reveals and discusses the assessment by individuals and groups, to differentiate stakeholders, based on the heritage significance they convey on neighbourhood attributes. Fifty-nine interviews on a Dutch neighbourhood in Amsterdam Zuidoost were analysed integrating quantitative and qualitative methods. Results confirm important differences between and within stakeholder groups regarding their interest in particular attribute categories and scales, indicating the need to further specify stakeholders beyond the commonly used ‘community’ and ‘experts’. The identification of stakeholder interests is important to involve relevant groups in the identification and designation of significant attributes, buildings, and areas and to anticipate potential conflicts or shared interests in neighbourhood renovation processes.@en

Purpose: Attributes conveying cultural significance play a key role in heritage management, as well as in differentiating interventions in built heritage. However, seldom the relation between interventions and attributes, either tangible or intangible, has been researched systematically. How do both tangible and intangible attributes and interventions relate? What attributes make interventions on built heritage differ? Design/methodology/approach: This paper conducts a systematic content analysis of forty-one international doctrinal documents—mainly adopted by the Council of Europe, UNESCO and ICOMOS, between 1877 and 2021. The main aim is to reveal and compare the selected eight intervention concepts, namely—restoration (C1), preservation (C2), conservation (C3), adaptation (C4), rehabilitation (C5), relocation (C6), reconstruction (C7) and renewal (C8)—and their definitions, in relation to attributes, both tangible and intangible. The intensity of the relationship between intervention concepts and attributes is determined based on the frequency of the mentioned attributes per intervention. Findings: There were three key findings. First, although the attention to intangible attributes has increased in the last decades, the relationship between interventions and tangible attributes remains stronger. The highest frequency of referencing the tangible attributes was identified in “relocation” and “preservation,” while the lowest was in “rehabilitation.” Second, certain attributes play contradictory roles, e.g. “material,” “use” and “process,” which creates inconsistent definitions between documents. Third, as attributes often include one another in building layers, they trigger the intervention concepts in hierarchical patterns. Originality/value: This paper explores and discusses the results of a novel comparative analysis between different intervention concepts and definitions, with a particular focus on the attributes. The results can support further research and practice, clarifying the identified differences and similarities.

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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.

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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.@en

The quantification of the extent and dynamics of land-use changes is a key metric employed to assess the progress toward several Sustainable Development Goals (SDGs) that form part of the United Nations 2030 Sustainable Development Agenda. In terms of anthropogenic factors threatening the conservation of heritage properties, such a metric aids in the assessment of achievements toward heritage sustainability solving the problem of insufficient data availability. Therefore, in this study, 589 cultural World Heritage List (WHL) properties from 115 countries were analyzed, encompassing globally distributed and statistically significant samples of “monuments and groups of buildings” (73.2%), “sites” (19.3%), and “cultural landscapes” (7.5%). Land-cover changes in the WHL properties between 2015 and 2020 were automatically extracted from big data collections of high-resolution satellite imagery accessed via Google Earth Engine using intelligent remote sensing classification. Sustainability indexes (SIs) were estimated for the protection zones of each property, and the results were employed, for the first time, to assess the progress of each country toward SDG Target 11.4. Despite the apparent advances in SIs (10.4%), most countries either exhibited steady (20.0%) or declining (69.6%) SIs due to limited cultural investigations and enhanced negative anthropogenic disturbances. This study confirms that land-cover changes are among serious threats for heritage conservation, with heritage in some countries wherein the need to address this threat is most crucial, and the proposed spatiotemporal monitoring approach is recommended.

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Top world heritage artifacts act as pedestrian flow attractors in historic urban areas. Despite the growing literature on pedestrian movement in cities, evidence of the relationship between cultural attractors and the spatial characteristics of street spaces between these artifacts is scarce. This contribution applies the theory of natural movement and uses diachronic space syntax and micro-spatial
analysis to investigate the reciprocities between street networks and the presence of global heritage attractors in the historic urban area of Rome. The results from the macro-scale spatial analyses show good correlations between the current most popular cultural attractors and the global integration of the street network. The degree of spatial integration of the street network is particularly important at the time of construction of important artifacts, as shown in the diachronic analyses. City growth and urban transformation can affect the central position of these important artifacts. However, in the case of highly attractive artifacts, these
continue to perform as movement attractors. The result of a local neighbourhood investigation shows that micro-spatial parameters, such as the spatial relationships between building entrances and streets, may influence the choice of routes between important artifacts. Thus, the flows of people’s movement can be
influenced by both micro-spatial street characteristics and spatial configuration.@en

The adaptive reuse of cultural heritage can contribute to sustainable development and circular economy, preventing waste production and resource depletion by extending the heritage lifespan. This reuse is limited by challenges mostly identified at the case study level. However, further theorising these challenges could enrich the related body of knowledge and contribute to their mitigation. By defining a theoretical framework, this research builds on the cross-sectional analysis of adaptive reuse undertaken in three European cities: Amsterdam, Rijeka, and Salerno. The challenges were identified by representatives of the public, private, knowledge, and non-profit sectors through stakeholder engagement workshops. Examples of challenges common to the three cities are shortcomings in existing approaches; lack of awareness and capacity; cultural heritage interpretation and management; data management; costs; conflicting interests; lack of knowledge; lack of participatory processes; and compliance with regulations and policies. Being identified in diverse European cities, these challenges can be representative within the European region. Arguably, some of these challenges also apply to other regions since they were reported in case studies from Asia, North America, and Oceania. Addressing these challenges could contribute to sustainable development by potentially contributing towards efforts to achieve ten of the Sustainable Development Goals, as some challenges align with some of these goals.

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During the rural [re]vitalization process in China, national strategies required rural public spaces with cultural significance to be identified before planning decision-making. However, places identified as culturally significant by planners and visitors can differ from the ones mostly used and valued by locals. Even if there is a growing interest in integrating local perspectives and experiences in planning, studies seldom discuss and compare openly the adequacy of spatial configuration, cognition and behaviour to support it. This study took Anyi Historic Village Cluster as a case study to empirically investigate rural public spaces with three distinct, yet related approaches: (1) Morphological: spatial network centralities based on space syntax; (2) Cognitive: Lynchian village images with semi-structured interviews; (3) Behavioural: spatiotemporal occupation patterns using Wi-Fi positioning tracking. Significant places valued and used by locals and non-locals were detected with the multi-source data. Furthermore, multivariant regression models managed to characterize the relationship among different aspects of investigated rural public spaces, which also helped diagnose places of interest to prioritize in planning, demonstrating the advantage of integrating the sources of information in practice instead of studying them apart. Results can also assist rural planning on how to identify what to preserve, what to enhance, and how to develop such spaces, without overlooking the local needs or losing the rural identity.@en