3D-ICONS: Digitizing Cultural Heritage Structures

Because of the numerous types of world heritage that currently exist, UNESCO divides them into four categories: cultural heritage, natural heritage, cultural and heritage dual heritage, and cultural landscape heritage. Taiwan’s Cultural Heritage Preservation Act stipulates that tangible cultural heritage include monuments, historic buildings, commemorative buildings, groups of buildings, archaeological sites, historic sites, cultural landscapes, antiquities, and natural landscapes and natural monuments, whereas its intangible cultural heritage include traditional performing arts, traditional craftsmanship, oral traditions and expressions, folklore, and traditional knowledge and practices. Because of continually increasing tasks associated with cultural heritage management, this study adopted research approaches such as compilation of relevant laws and regulations and interviews with managers to identify their needs in managing cultural heritage. This study posited that digital-based information management is highly conductive to managing cultural heritage. Thus, a dynamic cultural heritage management system was developed to help managers perform various heritage preservation and management-related work. The proposed system enables digitalizing related documents to facilitate their preservation, provides diversified functions that allow managers to conduct remote interactive management, and enables establishing various economical monitoring functions. This study used actual cases of cultural heritage preservation and input data collected from various management tasks into the proposed management system. Accordingly, the management functions of the system were verified successfully. The proposed system can help relevant departments manage cultural heritage, diminish the occurrence of problems concerning heritage management, reduce unnecessary waste of resources, and elevate the management quality of monuments and historical buildings.

Globalization has created new challenges and threats. The article identifies threats and challenges of globalization that have the most devastating effect on cultural and natural heritage. It analyzes efforts of the international community to minimize them. The article studies economic, foreign policy, environmental and cultural threats to the world cultural heritage. Heritage sites can be destroyed as a result of environmental and technological challenges, extremist movements and wars, uncontrolled urbanization, predatory exploitation of nature and cultural objects for commercial purposes, and rapid development of international tourism. All these factors have a negative impact on cultural and natural heritage sites. The problem of protection of natural and cultural heritage is of institutional and documentary nature. The UNESCO international organization deals with World Heritage issues, compiling a list of endangered objects of cultural and natural significance. It combines international efforts to preserve and popularize them because of their special cultural, historical or environmental significance. Damage or extinction of cultural objects is tragic for the world heritage. Due to new dangers, the entire international community must participate in the protection of the natural and cultural heritage sites. Problems that cause irreparable harm to the world heritage are due to human activities. It is necessary to develop measures that could be a response to the problems of cultural heritage protection in the context of globalization. It is necessary to make people respect cultural and natural heritage and inform them about dangers threatening cultural objects.

Urban cultural heritage sites bear the cultural functions of a city, hold spiritual and cultural value, can recall emotional memories, and serve the cultural leisure activities of the residents. Urban cultural heritage sites can help citizens perceive a sense of belonging and a feeling of relaxation, but whether and to what extent cultural heritage sites affect mental health remains unknown. Based on attention restoration theory, multiple research methods are adopted in this study to examine the impact of cultural heritage on human restorative mechanisms. Five representative cultural heritage sites from the cultural heritage-rich city of Xi'an are selected as the research object. In addition, a questionnaire survey and physiological experiments are conducted. Perceived restorative scale, skin conductance response, heart rate variability, and eye movement data while viewing photographs of the cases are collected from the participants. Results show that cultural heritage sites have psychophysiological restorative effects, which are especially significant in the fascination dimension. Moreover, historical buildings can promote the restorative effects of cultural heritage sites. This finding may lead to new conservation and innovation planning strategies considering the mental health effects of cultural heritage.

Human thermal comfort measures the combined effects of temperature, humidity, and wind speed, etc., and can be aggravated under the influences of global warming and local human activities. With the most rapid urbanization and the largest population, China is being severely threatened by aggravating human thermal stress. However, the variations of thermal stress in China at a fine scale have not been fully understood. This gap is mainly due to the lack of a high-resolution gridded dataset of human thermal indices. Here, we generate the first high spatial resolution (1 km1 km) dataset of monthly human thermal index collection (HiTIC-Monthly) over China from 2003 to 2020. In this collection, 12 commonly used thermal indicators are generated by the LGBM machine learning algorithm from multi-source gridded data, including MODIS land surface temperature, topography, land cover and land use, population density, and impervious surface fraction. Their accuracies were comprehensively assessed based on observations at 2419 weather stations across the mainland of China. The results show that our dataset has desirable performance, with mean R2, root mean square error, mean absolute error, and bias of 0.996, 0.693 °C, 0.512 °C, and 0.003 °C, respectively, by averaging the 12 indicators. Moreover, the predictions exhibit high agreements with observations across spatial and temporal dimensions, demonstrating the broad applicability of our dataset. The comparison with two existing datasets also suggests that our high-resolution dataset can describe a more explicit spatial distribution of the thermal information, showing great potentials in fine-scale (e.g., intra-urban) study. Further investigation reveals that nearly all indicators exhibit increasing trends in most parts of China during the year 2003~2020. The increase is especially stronger in North China, Southwest China, the Tibetan Plateau, and parts of Northwest China, and in the spring and summer seasons. The HiTIC-Monthly dataset is publicly available via https://zenodo.org/record/6895533 (Zhang et al., 2022a).

Human thermal comfort measures the combined effects of temperature, humidity, and wind speed, etc., and can be aggravated under the influences of global warming and local human activities. With the most rapid urbanization and the largest population, China is being severely threatened by aggravating human thermal stress. However, the variations of thermal stress in China at a fine scale have not been fully understood. This gap is mainly due to the lack of a high-resolution gridded dataset of human thermal indices. Here, we generate the first high spatial resolution (1 km1 km) dataset of monthly human thermal index collection (HiTIC-Monthly) over China from 2003 to 2020. In this collection, 12 commonly used thermal indicators are generated by the LGBM machine learning algorithm from multi-source gridded data, including MODIS land surface temperature, topography, land cover and land use, population density, and impervious surface fraction. Their accuracies were comprehensively assessed based on observations at 2419 weather stations across the mainland of China. The results show that our dataset has desirable performance, with mean R2, root mean square error, mean absolute error, and bias of 0.996, 0.693 °C, 0.512 °C, and 0.003 °C, respectively, by averaging the 12 indicators. Moreover, the predictions exhibit high agreements with observations across spatial and temporal dimensions, demonstrating the broad applicability of our dataset. The comparison with two existing datasets also suggests that our high-resolution dataset can describe a more explicit spatial distribution of the thermal information, showing great potentials in fine-scale (e.g., intra-urban) study. Further investigation reveals that nearly all indicators exhibit increasing trends in most parts of China during the year 2003~2020. The increase is especially stronger in North China, Southwest China, the Tibetan Plateau, and parts of Northwest China, and in the spring and summer seasons. The HiTIC-Monthly dataset is publicly available via https://zenodo.org/record/6895533 (Zhang et al., 2022a).

Human thermal comfort measures the combined effects of temperature, humidity, and wind speed, etc., and can be aggravated under the influences of global warming and local human activities. With the most rapid urbanization and the largest population, China is being severely threatened by aggravating human thermal stress. However, the variations of thermal stress in China at a fine scale have not been fully understood. This gap is mainly due to the lack of a high-resolution gridded dataset of human thermal indices. Here, we generate the first high spatial resolution (1 km1 km) dataset of monthly human thermal index collection (HiTIC-Monthly) over China from 2003 to 2020. In this collection, 12 commonly used thermal indicators are generated by the LGBM machine learning algorithm from multi-source gridded data, including MODIS land surface temperature, topography, land cover and land use, population density, and impervious surface fraction. Their accuracies were comprehensively assessed based on observations at 2419 weather stations across the mainland of China. The results show that our dataset has desirable performance, with mean R2, root mean square error, mean absolute error, and bias of 0.996, 0.693 °C, 0.512 °C, and 0.003 °C, respectively, by averaging the 12 indicators. Moreover, the predictions exhibit high agreements with observations across spatial and temporal dimensions, demonstrating the broad applicability of our dataset. The comparison with two existing datasets also suggests that our high-resolution dataset can describe a more explicit spatial distribution of the thermal information, showing great potentials in fine-scale (e.g., intra-urban) study. Further investigation reveals that nearly all indicators exhibit increasing trends in most parts of China during the year 2003~2020. The increase is especially stronger in North China, Southwest China, the Tibetan Plateau, and parts of Northwest China, and in the spring and summer seasons. The HiTIC-Monthly dataset is publicly available via https://zenodo.org/record/6895533 (Zhang et al., 2022a).

Human thermal comfort measures the combined effects of temperature, humidity, and wind speed, etc., and can be aggravated under the influences of global warming and local human activities. With the most rapid urbanization and the largest population, China is being severely threatened by aggravating human thermal stress. However, the variations of thermal stress in China at a fine scale have not been fully understood. This gap is mainly due to the lack of a high-resolution gridded dataset of human thermal indices. Here, we generate the first high spatial resolution (1 km1 km) dataset of monthly human thermal index collection (HiTIC-Monthly) over China from 2003 to 2020. In this collection, 12 commonly used thermal indicators are generated by the LGBM machine learning algorithm from multi-source gridded data, including MODIS land surface temperature, topography, land cover and land use, population density, and impervious surface fraction. Their accuracies were comprehensively assessed based on observations at 2419 weather stations across the mainland of China. The results show that our dataset has desirable performance, with mean R2, root mean square error, mean absolute error, and bias of 0.996, 0.693 °C, 0.512 °C, and 0.003 °C, respectively, by averaging the 12 indicators. Moreover, the predictions exhibit high agreements with observations across spatial and temporal dimensions, demonstrating the broad applicability of our dataset. The comparison with two existing datasets also suggests that our high-resolution dataset can describe a more explicit spatial distribution of the thermal information, showing great potentials in fine-scale (e.g., intra-urban) study. Further investigation reveals that nearly all indicators exhibit increasing trends in most parts of China during the year 2003~2020. The increase is especially stronger in North China, Southwest China, the Tibetan Plateau, and parts of Northwest China, and in the spring and summer seasons. The HiTIC-Monthly dataset is publicly available via https://zenodo.org/record/6895533 (Zhang et al., 2022a).

Human thermal comfort measures the combined effects of temperature, humidity, and wind speed, etc., and can be aggravated under the influences of global warming and local human activities. With the most rapid urbanization and the largest population, China is being severely threatened by aggravating human thermal stress. However, the variations of thermal stress in China at a fine scale have not been fully understood. This gap is mainly due to the lack of a high-resolution gridded dataset of human thermal indices. Here, we generate the first high spatial resolution (1 km1 km) dataset of monthly human thermal index collection (HiTIC-Monthly) over China from 2003 to 2020. In this collection, 12 commonly used thermal indicators are generated by the LGBM machine learning algorithm from multi-source gridded data, including MODIS land surface temperature, topography, land cover and land use, population density, and impervious surface fraction. Their accuracies were comprehensively assessed based on observations at 2419 weather stations across the mainland of China. The results show that our dataset has desirable performance, with mean R2, root mean square error, mean absolute error, and bias of 0.996, 0.693 °C, 0.512 °C, and 0.003 °C, respectively, by averaging the 12 indicators. Moreover, the predictions exhibit high agreements with observations across spatial and temporal dimensions, demonstrating the broad applicability of our dataset. The comparison with two existing datasets also suggests that our high-resolution dataset can describe a more explicit spatial distribution of the thermal information, showing great potentials in fine-scale (e.g., intra-urban) study. Further investigation reveals that nearly all indicators exhibit increasing trends in most parts of China during the year 2003~2020. The increase is especially stronger in North China, Southwest China, the Tibetan Plateau, and parts of Northwest China, and in the spring and summer seasons. The HiTIC-Monthly dataset is publicly available via https://zenodo.org/record/6895533 (Zhang et al., 2022a).

Historical buildings need to be preserved, shedding light on the history and culture of societies that have survived from the past to the present. These buildings may face the threat of extinction for various reasons. It is important to minimize these threats and transfer the building to future generations healthily. In this regard, traditional techniques or current technologies come to the fore. This study aims to investigate the use of “seismic control methods” in historical buildings, which have emerged as an important method of earthquake conservation in recent years. This study consists of two stages. In the first stage of the study, the legislation related to the conservation of cultural heritage was examined and the important parameters related to the consolidation and restoration of historical buildings were determined. Then, “seismic control methods” related to the strengthening of historical buildings against disasters were examined and the use of these methods in historical buildings was evaluated in terms of international legislation. In the second part of the study, fieldwork was carried out. 3 historical masonry buildings in the Palu district of Elazığ were selected as the study area. These historical masonry buildings are Palu Grand Mosque, Historical Palu Bridge and Cemsit Bey Kulliye. The applicability of seismic control methods in these historical buildings has been investigated in terms of legislation. In the evaluation stage of the study, to minimize the disaster risk of these historical buildings, other examples in the literature were examined and seismic control methods that can be used in historical buildings were determined. As a result of the study, it has been seen that seismic strengthening can be applied using seismic control systems in different historical buildings in Elazığ Palu in accordance with international legislation.

The rapid growth of the threat to the destruction of natural and cultural values prompted the world community to realize the need to join efforts to preserve the achievements of nature and culture. Henceforth, the importance of the factor of cooperation in international relations becomes greater. The article considers multilateral cooperation in the field of preservation of cultural and natural heritage in the Arctic. The Arctic is a territory where the interests of many states overlap, so cooperation issues are particularly important here. The Arctic region has a unique natural and cultural heritage that needs constant protection. The authors aim at analyzing the modern system of defense of the world cultural and natural heritage, developed by UNESCO. The authors mean the world heritage as the most valuable foundation, a set of artifacts of spiritual and material culture created by man, and the wealth created by nature, inherited from past generations are preserved at present and transferred to future generations. The article pays attention not only to sites already on the UNESCO World Heritage List, but also to those that are to be included on the UNESCO List. Special attention is paid to the interaction of Russia and UNESCO on the issues of identifying new sites of natural and cultural heritage in the Arctic.

The role of the archeological and cultural heritage sites in the process of urban regeneration in UNESCO’s protected areas becomes more and more important for the natural and cultural heritage protection in the touristic cities with urban expansion. However, there is no clear methodological approach for the inclusion of these important natural and cultural heritage sites in the process of urban regeneration of the cities. The purpose of this study is to analyze how two contemporary urban planning tools, sustainable urban mobility plans and heritage impact assessments, contribute to the protection and sustainable use of archeological sites. The methodology that is used in this study is dual, theoretical, through literature review, and empirical, through the appliance of the case study method and expert observation and mapping of the most valuable archeological sites in Boka Bay. The results of this study show that practical usage of the two proposed tools in the process of urban regeneration could help in cultural and natural heritage protection and their inclusion as drivers of sustainable urban planning and cultural heritage management. The results of the study confirm the authors’ hypothesis that the role of the archeological sites in the process of urban regeneration is evident in the touristic cities in the coastal area of Montenegro, concluding that urban mobility principles and heritage impact assessment studies must be considered in the process of urban regeneration while at the same time cultural (archeological) heritage management is an integral part of this process.

The amount of digital cultural heritage data produced by cultural heritage institutions is growing rapidly. Digital cultural heritage repositories have therefore become an efficient and effective way to disseminate and exploit digital cultural heritage data. However, many digital cultural heritage repositories worldwide share technical challenges such as data integration and interoperability among national and regional digital cultural heritage repositories. The result is dispersed and poorly-linked cultured heritage data, backed by non-standardized search interfaces, which thwart users’ attempts to contextualize information from distributed repositories. A recently introduced geospatial semantic web is being adopted by a great many new and existing digital cultural heritage repositories to overcome these challenges. However, no one has yet conducted a conceptual survey of the geospatial semantic web concepts for a cultural heritage audience. A conceptual survey of these concepts pertinent to the cultural heritage field is, therefore, needed. Such a survey equips cultural heritage professionals and practitioners with an overview of all the necessary tools, and free and open source semantic web and geospatial semantic web platforms that can be used to implement geospatial semantic web-based cultural heritage repositories. Hence, this article surveys the state-of-the-art geospatial semantic web concepts, which are pertinent to the cultural heritage field. It then proposes a framework to turn geospatial cultural heritage data into machine-readable and processable resource description framework (RDF) data to use in the geospatial semantic web, with a case study to demonstrate its applicability. Furthermore, it outlines key free and open source semantic web and geospatial semantic platforms for cultural heritage institutions. In addition, it examines leading cultural heritage projects employing the geospatial semantic web. Finally, the article discusses attributes of the geospatial semantic web that require more attention, that can result in generating new ideas and research questions for both the geospatial semantic web and cultural heritage fields.

City image includes people's perceptions of the built and natural environments as well as the emotions and ideas the city arouses in them. In the city image, the preservation of the buildings, especially historical buildings, which carry the past cultures, meaning and structural features of the city to the present day, can be ensured by making these buildings visible and perceptible by the inhabitants. Historical buildings' visibility can facilitate the recognition and appreciation of their historical significance, thereby contributing to the preservation of the city's cultural heritage. This study aims to analyse the visibility of a historical building that holds a significant place in the urban memory and to suggest recommendations for enhancing its visibility. In this context, the viewpoints used to examine the İskenderun Beş Temmuz Primary School Historical Building’s visibility were specified by space syntax visibility graph analysis (VGA). Subsequently, the building's visibility in three different historical periods was determined by the isovists technique, utilizing these viewpoints. Based on the same viewpoints, an observational field study and a survey applied to 47 people were conducted. Consequently, it was identified that the historical building could not be sufficiently seen due to the presence of surrounding service structures, perimeter walls, and high buildings. Furthermore, this study proposed the removal of additional structures that negatively affect historical building's visibility. Additionally, a design approach was developed for new buildings and landscaping to enhance the historical building's visibility, and the efficacy of the proposed design was evaluated through isovists and VGA analyses.

European cultural heritage and tourism flows: The magnetic role of superstar World Heritage Sites

The heritage preserved in Ukrainian cities, fragments of historic cult buildings, have their own cultural characteristics and integrity. Historic buildings in Ukrainian cities form an aesthetic and comfortable socio-cultural environment. The connection with architectural traditions and style, the borrowing of stone architectural cult decorations with the characteristic architecture of the city, the overall scale and nature of the division create harmony in the architectural ensemble and have an emotional and aesthetic impact. This allows Ukrainian architecture to make a special contribution to global diversity – the multiculturalism of the environment. Ukrainian cult architectural heritage, which belongs to the world's art treasures, is a model of protection and preservation that is relevant and requires a deep contemporary scientific understanding. The preservation of historical cultural heritage sites is one of the most problematic areas of activity in the fields of culture, construction, anthropology, politics and philosophy. This is especially true for monuments of religious architecture, which are being destroyed as a result of wars, conflicts, natural and man-made phenomena. Our hypothesis is that it is necessary to develop a modern algorithm and mechanism for the restoration and rehabilitation of material and spiritual heritage, based on the principles of scientific and comprehensive cooperation after its destruction and massive damage. The issue of restoring or changing the architectural ensemble of the city, restoring its original style, and using new methods and technological capabilities in construction requires the involvement of specialists in the fields of religious studies, architecture, construction, art, law, and state building. Therefore, in the context of a full-scale invasion, we consider it necessary today to develop an algorithm for preserving cultural heritage in the modern world, as well as to identify a mechanism for developing an architectural philosophy for the protection of religious and cultural objects. This is despite the fact that there are no academic, systematic, generalised and documented studies by contemporary philosophers, religious scholars and architects.