Article
Green & Sustainable Science & Technology
Jose Ramon-Cardona, David Daniel Pena-Miranda, Maria Dolores Sanchez-Fernandez
Summary: UNESCO World Heritage Sites hold great prestige, but the case of Ibiza has faced challenges in the protection and promotion of its cultural and natural elements, including communication confusion and concentrated tourist visits in the old town.
Article
Agriculture, Dairy & Animal Science
Veronica A. Beninato, Carlos E. Borghi, Natalia Andino, Mauricio A. Perez, Stella M. Giannoni
Summary: Researchers studied the impact of tourism on mara's habitat use using ecological approaches, detecting effects on habitat use related to tree, shrub and grass cover, as well as more abundant plant species coverage, with maras showing preference for areas with low bare soil and pebble cover.
Article
Environmental Sciences
Nicola Lercari, Denise Jaffke, Arianna Campiani, Anais Guillem, Scott McAvoy, Gerardo Jimenez Delgado, Alexandra Bevk Neeb
Summary: This study examines the feasibility of using modern technologies to protect cultural resources in California, and validates the effectiveness of the method through a specific case study.
Article
Green & Sustainable Science & Technology
Hayley S. Clements, Matthew F. Child, Lehman Lindeque, Kyra Lunderstedt, Alta De Vos
Summary: This study assessed the impacts of the COVID-19 pandemic on South African wildlife ranches, agricultural farms, and protected areas. It found that diversified and mixed business models showed greater adaptive capacity. Protected areas experienced the greatest revenue loss, while agricultural farms were less affected. The impacts on wildlife ranches varied, with those engaged in diverse activities being more resilient. The study suggests that wildlife-based enterprises could offer valuable lessons for integrated global policies in conservation.
NATURE SUSTAINABILITY
(2022)
Article
Archaeology
Yoonjo Choi, Yun-Jung Yang, Hong-Gyoo Sohn
Summary: Recent developments in geospatial information technology have enabled researchers to utilize geospatial information for decision making in disaster situations. Preservation of cultural properties is crucial as they reflect local characteristics and knowledge, and a method using geospatial information to enhance cultural heritage resilience in disasters has been proposed in this paper. The proposed method has been shown to minimize damage to cultural assets and enhance their resilience in disasters.
JOURNAL OF CULTURAL HERITAGE
(2021)
Article
Green & Sustainable Science & Technology
Mohammed Abdulfattah Bay, Mohammed Mashary Alnaim, Ghazy Abdullah Albaqawy, Emad Noaime
Summary: This study examines the changes in the World Heritage Site of Diriyah over three crucial periods, focusing on its physical, social, and economic aspects. By using a mixed-method approach, it investigates the heritage management practices and development impact of the site, highlighting the influence of the World Heritage Site inscription on heritage in Saudi Arabia. The study concludes that by adopting a sustainable development approach and preserving visual integrity and site authenticity, Diriyah can still undergo a successful massive makeover development. It emphasizes the significance of Historic Diriyah and its surroundings in establishing a national identity and international destination, as well as presenting a new development agenda for Saudi Arabia.
Article
Environmental Sciences
Yihan Xie, Ruixia Yang, Yongqi Liang, Wei Li, Fulong Chen
Summary: This study analyzes the spatial relationship between world cultural heritage sites and neighboring towns at a global scale. The results show that a certain percentage of cultural heritage sites have been incorporated into urban areas, but the overall spatial relationship with neighboring towns has not changed substantially. Additionally, the study finds that the distance between cultural heritage sites and towns has been decreasing, with the variation in distance related to factors such as the income level and urbanization rate of the country.
Article
Green & Sustainable Science & Technology
Haipeng Zhang, Kangning Xiong, Guangyu Fei, Ao Jin, Shirong Zhang
Summary: This study investigates the influence mechanisms of tourists' behavioral intentions towards conservation in heritage sites, introducing variables such as environmental knowledge awareness, geomorphological value perception, place attachment, and behavioral intention to construct a model. The model was tested on the Libo World Natural Heritage Site in southern China, and the results show that environmental knowledge awareness serves as the basis for place attachment and behavioral intention, while geomorphological value perception positively affects behavioral intention.
Article
Humanities, Multidisciplinary
Havva Tlemsani Bozdag, Rachida Benabbou, Tulin Vural Arslan
Summary: This research investigates the way traditional commercial centres absorb and adapt to change, using the bazaar of Bursa as a case study. It proposes a Framework Proposal for resilience assessment, combining tangible and intangible features, and shows that there is a clear overlap between the tradesmen's perception and proposed factors affecting resilience.
Article
Engineering, Industrial
L. G. Brunner, R. A. M. Peer, C. Zorn, R. Paulik, T. M. Logan
Summary: The prevalence of cascading failures is increasing due to the growing interdependence of infrastructure and the exacerbation of extreme hazards caused by climate change. A case study of Christchurch, the second largest city in New Zealand, investigated the impacts of coastal flooding events and climate change scenarios on electricity, water supply, and wastewater networks. The results show that sea-level rise has a significant impact on these networks and on residents, highlighting the need for understanding node criticality and resource requirements after such events.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Environmental Sciences
Maya Negev, Motti Zohar, Shlomit Paz
Summary: Climate hazards and vulnerabilities in cities are multidimensional and influenced by natural and social features. This study used GIS technology and online surveys to examine multidimensional hazards, vulnerabilities, and resilience in the Mediterranean city of Haifa. The results highlight the variations and correlations of climate hazards and vulnerabilities within the city.
Review
Environmental Sciences
Esteve Vinals, Roser Maneja, Marti Rufi-Salis, Miquel Marti, Neus Puy
Summary: Global change is causing threats to social-ecological systems, particularly landscapes with nature-human interactions, leading to a need for viable solutions. This study clarifies the concept of social-ecological resilience and provides a tool for landscape managers. It emphasizes the importance of social-ecological resilience for landscapes and proposes guidelines for its promotion and enhancement.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Louis J. Durrant, Atish N. Vadher, Jacques Teller
Summary: Research on sustainable management of cultural heritage is increasing due to vulnerability to climate-related disasters and perceived contribution to sustainability goals. Barriers hinder integration, but targeted research can improve resilience. This article explores UNESCO heritage site managers' perceptions on disaster risk management, revealing limited access to strategies and multiple risks. Improved communication and engagement with stakeholders are needed to foster resilience.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Green & Sustainable Science & Technology
Zohreh Hosseini, Giulio Zangari, Marta Carboni, Giulia Caneva
Summary: This study aimed to identify the substrate preference of plants on different stone surfaces, revealing that stone typology and microsite conditions affect species composition, diversity, and richness. The data indicated that microsites as a junction of two stone blocks and big fractures covered by soil provided the most favorable conditions for plant colonization.
Article
Green & Sustainable Science & Technology
Alessandra Mascitelli, Fernanda Prestileo, Alberico Sonnessa, Stefano Federico, Rosa Claudia Torcasio, Roberta Ravanelli, Riccardo Biondi, Stefano Dietrich
Summary: The study investigates the potential of the Alberobello site in Italy to respond to intense weather phenomena. The research highlights the importance of cultural heritage in mitigating natural hazards.
Article
Architecture
F. J. Alejandre, F. J. Blasco-Lopez, V. Flores-Ales, R. Villegas, M. T. Freire
Summary: The study found that applying a layer of limewash over gypsum plasterworks in the Real Alcazar of Seville did not significantly improve durability, but it may provide better protection against capillarity weathering tests in specimens with higher water/plaster ratio.
INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE
(2021)
Article
Environmental Sciences
Maria Isabel Romero-Hermida, Antonio Maria Borrero-Lopez, Vicente Flores-Ales, Francisco Javier Alejandre, Jose Maria Franco, Alberto Santos, Luis Esquivias
Summary: This study focused on the reuse of waste products to produce lime putty mortar derived from phosphogypsum, with investigations into its physical, rheological, and mechanical properties, as well as carbonation process. The sensitivity of mortar mechanical properties to sulphate content and the impact of carbonation process are key findings.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Construction & Building Technology
M. Torres-Gonzalez, F. J. Alejandre, V Flores-Ales, A. Calero-Castillo, F. J. Blasco-Lopez
Summary: Conservation studies are crucial for making decisions about architectural heritage restoration interventions, with non-destructive tests used to assess historical plasterwork and establish parameters for evaluating the conservation status and stability of heritage buildings.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Archaeology
Marta Torres-Gonzalez, Juan Jesus Martin-Del-Rio, Francisco Javier Alejandre-Sanchez, Miguel Leon Munoz, David Bienvenido-Huertas, Juan Manuel Macias Bernal
Summary: This study provides methodological guidelines for the conservation of plasterwork and its polychromies, and presents the implementation process and validation of a specific case. The reconstruction of plasterwork was successfully achieved using current restoration techniques and digital tools.
STUDIES IN CONSERVATION
(2023)
Article
Chemistry, Multidisciplinary
Marta Torres-Gonzalez, Francisco Javier Alejandre, Juan Manuel Alducin-Ochoa, Ana Isabel Calero-Castillo, Francisco Javier Blasco-Lopez, Ana Carrasco-Huertas, Vicente Flores-Ales
Summary: This study presents a methodology for assessing ancient plasterworks using traditional inspection techniques and digital tools. The method allows for digitalization, conservation, and chronological study of the plasterworks.
APPLIED SCIENCES-BASEL
(2022)
Article
Construction & Building Technology
Francisco M. Hidalgo-Sanchez, Marta Torres-Gonzalez, Emilio J. Mascort-Albea, Jacinto Canivell, Rocio Romero-Hernandez, J. J. Martin-del-Rio
Summary: Non-destructive testing (NDT) has been proven to be a sustainable approach in the preventive conservation of heritage buildings. However, the management of NDT information is complex, resulting in suboptimal data usage. This paper proposes a method for integrating NDT data into simplified digital information models using Geographic Information Systems (GIS). Applied to the plasterwork in the Courtyard of the Maidens in the Royal Alcazar of Seville, a web GIS-based model integrates NDT information, such as ambient conditions, damage mapping, and various measurements, enabling the detection of vulnerable areas and providing accessible results for managers.
BUILDING RESEARCH AND INFORMATION
(2023)
Article
Archaeology
Marta Torres-Gonzalez, Elena Cabrera Revuelta, Ana I. Calero-Castillo
Summary: Previous studies and documentation are essential for the conservation of architectural elements. Traditional methods like hand tracings or photographs have their limitations, while high-resolution 3D models offer significant advantages. This study proposes the use of photogrammetry for documenting polychromed ancient plasterworks, providing precise analysis and data for heritage preservation.
VIRTUAL ARCHAEOLOGY REVIEW
(2023)
Article
Environmental Sciences
Marta Torres-Gonzales, Jonatas Valenca, Bruno O. Santos, Ana Silva, Maria P. Mendes
Summary: The new Construction 4.0 paradigm utilizes existing technologies and image-based methods for evaluating and monitoring the state of conservation of buildings have shown significant growth. This paper presents the StainView method, which allows for the automatic location and mapping of critical areas in facades, as well as the identification of materials and characterization of colors. The method has been validated and proven to be a useful tool for building inspection.
Article
Architecture
M. Torres-Gonzalez, F. J. Blasco-Lopez, F. J. Alejandre Sanchez, J. M. Aducin-Ochoa, M. Moya-Fierro
Summary: The study focuses on the materials and systems used for the conservation and preservation of the Royal Alcazar of Seville, specifically the detachment of decorative pineapples. Through inspection, survey, and analysis, the study examines different fixation systems, identifies anomalies, and evaluates emergency actions undertaken to prevent detachment.
INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE
(2023)
Article
Construction & Building Technology
Marta Torres-Gonzalez, Maria Teresa Freire, F. J. Alejandre, F. J. Blasco-Lopez, Ana Silva
Summary: This study proposes a model to assess the overall degradation condition of historical plasterworks in the Royal Alcazar of Seville. A Severity of Degradation Index (S-w) is suggested to prioritize intervention and improve the durability and conservation of plasterworks with heritage features. Visual inspections and non-destructive tests were used to evaluate the conservation condition, identifying cracking and metal fixing elements as common and severe anomalies. The proposed method allows for a rational and cost-effective resource allocation in heritage conservation.
Article
Construction & Building Technology
Maria Paula Mendes, Marta Torres-Gonzalez, Jonatas Valenca, Ana Silva
Summary: The maintenance status of monuments has a significant impact on tourists' perceptions and evaluations, potentially leading to negative feelings that take time to recover.
Article
Construction & Building Technology
Jia Liang, Qipeng Zhang, Xingyu Gu
Summary: A lightweight PCSNet-based segmentation model is developed to address the issues of insufficient performance in feature extraction and boundary loss information. The introduction of generalized Dice loss improves prediction performance, and the visualization of class activation mapping enhances model interpretability.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Gilsu Jeong, Minhyuk Jung, Seongeun Park, Moonseo Park, Changbum Ryan Ahn
Summary: This study introduces a contextual audio-visual approach to recognize multi-equipment activities in tunnel construction sites, improving monitoring effectiveness. Tested against real-world operation data, the model achieved remarkable results, emphasizing the potential of contextual multimodal models in enhancing operational efficiency in complex construction sites.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Jin Wang, Zhigao Zeng, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba, Jianming Zhang, Lei Wang
Summary: This study presents a dual-path network for pavement crack segmentation, combining Convolutional Neural Network (CNN) and transformer. A lightweight CNN encoder is used for local feature extraction, while a novel transformer encoder integrates high-low frequency attention mechanism and efficient feedforward network for global feature extraction. Additionally, a complementary fusion module is introduced to aggregate intermediate features extracted from both encoders. Evaluation on three datasets confirms the superior performance of the proposed network.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Pierre Gilibert, Romain Mesnil, Olivier Baverel
Summary: This paper introduces a flexible method for crafting 2D assemblies adaptable to various geometric assumptions in the realm of sustainable construction. By utilizing digital fabrication technologies and optimization approaches, precise control over demountable buildings can be achieved, improving mechanical performance and sustainability.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Jorge Loy-Benitez, Myung Kyu Song, Yo-Hyun Choi, Je-Kyum Lee, Sean Seungwon Lee
Summary: This paper discusses the advancement of tunnel boring machines (TBM) through the application of artificial intelligence. It highlights the significance of AI-based management subsystems for automatic TBM operations and presents recent contributions in this field. The paper evaluates modeling, monitoring, and control subsystems and suggests research paths for integrating existing management subsystems into TBM automation.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Alireza Shamshiri, Kyeong Rok Ryu, June Young Park
Summary: This paper reviews the application of text mining and natural language processing in the construction field, highlighting the need for automation and minimizing manual tasks. The study identifies potential research opportunities in strengthening overlooked construction aspects, coupling diverse data formats, and leveraging pre-trained language models and reinforcement learning.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Zhengyi Chen, Hao Wang, Keyu Chen, Changhao Song, Xiao Zhang, Boyu Wang, Jack C. P. Cheng
Summary: This study proposes an improved coverage path planning system that leverages building information modeling and robotic configurations to optimize coverage performance in indoor environments. Experimental validation shows the effectiveness and applicability of the system. Future research will focus on further enhancing coverage ratio and optimizing computation time.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Yonglin Fu, Junjie Chen, Weisheng Lu
Summary: This study presents a review of human-robot collaboration (HRC) in modular construction manufacturing (MCM), focusing on tasks, human roles, and interaction levels. The review found that HRC solutions are applicable to various MCM tasks, with a primary focus on timber component production. It also revealed the diverse collaborative roles humans can play and the varying levels of interaction with robots.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Qiong Liu, Shengbo Cheng, Chang Sun, Kailun Chen, Wengui Li, Vivian W. Y. Tam
Summary: This paper presents an approach to enhance the path-following capability of concrete printing by integrating steel cables into the printed mortar strips, and validates the feasibility and effectiveness of this approach through experiments.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Honghu Chu, Lu Deng, Huaqing Yuan, Lizhi Long, Jingjing Guo
Summary: The study proposes a method called Cascade CATransUNet for high-resolution crack image segmentation. This method combines the coordinate attention mechanism and self-cascaded design to accurately segment cracks. Through a customized feature extraction architecture and an optimized boundary loss function, the proposed method achieves impressive segmentation performance on HR images and demonstrates its practicality in UAV crack detection tasks.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Daniel Lamas, Andres Justo, Mario Soilan, Belen Riveiro
Summary: This paper introduces a new method for creating synthetic point clouds of truss bridges and demonstrates the effectiveness of a deep learning approach for semantic and instance segmentation of these point clouds. The proposed methodology has significant implications for the development of automated inspection and monitoring systems for truss bridges.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Kahyun Jeon, Ghang Lee, Seongmin Yang, Yonghan Kim, Seungah Suh
Summary: This study proposes two enhanced unsupervised text classification methods for domain-specific non-English text. The results of the tests show that these methods achieve excellent performance on Korean building defect complaints, outperforming state-of-the-art zero-shot and few-shot text classification methods, with minimal data preparation effort and computing resources.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Yoonhwa Jung, Julia Hockenmaier, Mani Golparvar-Fard
Summary: This study introduces a transformer-based natural language processing model, UNIfORMATBRIDGE, that automatically labels activities in a project schedule with Uniformat classification. Experimental results show that the model performs well in matching unstructured schedule data to Uniformat classifications. Additionally, the study highlights the importance of this method in developing new techniques.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
De-Graft Joe Opoku, Srinath Perera, Robert Osei-Kyei, Maria Rashidi, Keivan Bamdad, Tosin Famakinwa
Summary: This paper introduces a digital twin technology combining Building Information Modelling and the Internet of Things for the construction industry, aiming to optimize building conditions. The technology is implemented in a university library, successfully achieving real-time data capture and visual representation of internal conditions.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Zaolin Pan, Yantao Yu
Summary: The construction industry faces safety and workforce shortages globally, and worker-robot collaboration is seen as a solution. However, robots face challenges in recognizing worker intentions in construction. This study tackles these challenges by proposing a fusion method and investigating the best granularity for recognizing worker intentions. The results show that the proposed method can recognize multi-granular worker intentions effectively, contributing to seamless worker-robot collaboration in construction.
AUTOMATION IN CONSTRUCTION
(2024)
