Article
Construction & Building Technology
Didem Gurdur Broo, Miguel Bravo-Haro, Jennifer Schooling
Summary: This article emphasizes the urgency of improving the efficiency, resilience, and sustainability of infrastructure systems, and explores the role of digital twins in achieving this goal.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Geography
Chethika Abenayake, Amila Jayasinghe, Hasintha Nawod Kalpana, Eshi Eranga Wijegunarathna, P. K. S. Mahanama
Summary: The transportation system is critical and can be significantly impacted by extreme weather events like urban flooding. However, most studies only focus on micro-scale approaches rather than looking at the holistic impact on the entire transportation system. This study presents a novel approach to assess the failure of the transportation system due to urban flooding and highlights the impact on human movement patterns.
Article
Green & Sustainable Science & Technology
Xin Fu, Matthew E. Hopton, Xinhao Wang
Summary: Green infrastructure (GI) is recognized for its benefits in reducing flooding risk, improving water quality, and harvesting stormwater. However, there is a lack of comprehensive assessment framework in existing literature to evaluate GI performance in promoting ecosystem functions and services for social-ecological system resilience.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Construction & Building Technology
Charlotte Weil, Simon Elias Bibri, Regis Longchamp, Francois Golay, Alexandre Alahi
Summary: Urban Digital Twin (UDT) is a technology with great potential to transform the management and planning of sustainable smart cities. However, there are various challenges to its implementation, such as interoperability, infrastructure, data acquisition and quality, modeling, and human resources. This study provides a systematic literature review on the key challenges and open issues pertaining to the implementation of UDTs, aiming to inform practitioners about the bottlenecks delaying its implementation.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Urban Studies
Jaume Ferre-Bigorra, Miquel Casals, Marta Gangolells
Summary: This paper aims to contribute to the conceptualization of digital twin in urban management. It maps existing initiatives, defines the basic structure of a city digital twin, and identifies the benefits, issues, and challenges.
Article
Geosciences, Multidisciplinary
Zhenhang Cai, Galen Newman, Jaekyung Lee, Xinyue Ye, David Retchless, Lei Zou, Youngjib Ham
Summary: Galveston Island in Texas, USA is considering the implementation of a coastal surge barrier, known as the 'Ike Dike', to protect against hurricanes and severe floods. By developing a 3-dimensional urban model, researchers evaluated the effects of the coastal barrier across different storm scenarios. The findings showed that the implementation of the barrier significantly reduced the inundated area and property damage during storm events, but the protection decreased when considering sea level rise from the bay side.
GEOMATICS NATURAL HAZARDS & RISK
(2023)
Article
Information Science & Library Science
Fathima Nishara Abdeen, Sara Shirowzhan, Samad M. E. Sepasgozar
Summary: This paper focuses on macro-scale digital twins that collect stakeholders' feedback to maintain and manage infrastructure services. The study found that technologies such as open data platforms, remote sensors, and IoT sensors can enhance the capabilities of the digital twin, while volunteered geographic information and social sensing are important technologies that encourage citizen engagement.
TELEMATICS AND INFORMATICS
(2023)
Article
Construction & Building Technology
Feng Jiang, Ling Ma, Tim Broyd, Weiya Chen, Hanbin Luo
Summary: This paper presents an urban road planning approach based on digital twin (DT), multi-criteria decision making (MCDM), and geographic information system (GIS). The proposed approach takes into account factors such as building demolition and land use, traffic congestion, driving route selection habits, air quality, and noise, aiming to provide a functional, economic, people-friendly, and eco-friendly road planning scheme.
SUSTAINABLE CITIES AND SOCIETY
(2022)
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
Computer Science, Artificial Intelligence
Jun Zhang, Yonghang Tai
Summary: Medical digital twin (MDT) is a virtual replica of a person that utilizes new technologies to predict health status and provide clinical advice. Ensuring the safety of MDT involves understanding digital twin design and implementing a vulnerability tolerant approach. By combining Haptic-AR navigation and deep learning, a new MDT achieves virtual replica and cyber-human interaction, demonstrating potential in cyber resilience.
CONNECTION SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Jifeng Zhang, Zirui Yang, Bing He
Summary: This study examines the impact of digital infrastructure on urban economic resilience using panel data from 106 Chinese cities. The results show that digital infrastructure improves urban economic resilience, with varying effects over time and across regions. Economic vitality, industrial structure upgrading, and industrial structure rationalization moderate or mediate the impact of digital infrastructure on economic resilience.
Article
Environmental Sciences
Ruane Fernandes de Magalhaes, Angela de Moura Ferreira Danilevicz, Joana Siqueira de Souza, Marcia Elisa Echeveste
Summary: This study examines the contribution of risk management tools to resilient planning of urban infrastructure services, with a case study conducted in Porto Alegre, Brazil. The research highlights the potential of these tools in promoting a comprehensive analysis of infrastructure network under climate risks and engaging multiple stakeholders in decision making to enhance urban resilience.
Article
Agriculture, Multidisciplinary
Junhwi Cho, Chaehyeon Kim, Kyoung Jae Lim, Jonggun Kim, Bongjun Ji, Jaeheum Yeon
Summary: Geographic Information Systems (GIS) are widely used in agriculture for representing agricultural geographical information. However, current GIS has limitations in model quality, interaction capabilities, and representing detailed topographic information. To overcome these limitations, a method integrating Building Information Modeling (BIM) with GIS is proposed. This method collects information on agricultural infrastructure and creates a digital twin model to provide a detailed depiction of the agricultural environment. By integrating a web-based geographic information visualization platform (Cesium) with BIM concepts, information associated with the selected agricultural infrastructure models can be viewed in a pop-up window.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Construction & Building Technology
Alessandro Cardoni, Simone Lucco Borlera, Francesco Malandrino, Gian Paolo Cimellaro
Summary: This paper presents a methodology for modeling and quantifying the seismic vulnerability and resilience of wireless telecommunication networks. A case study of a virtual European city is conducted, taking into account the interdependence with the built environment, and three vulnerability indexes are calculated.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Engineering, Industrial
Haoqi Wang, Lindong Lv, Xupeng Li, Hao Li, Jiewu Leng, Yuyan Zhang, Vincent Thomson, Gen Liu, Xiaoyu Wen, Chunya Sun, Guofu Luo
Summary: Safety management is crucial for human-centered manufacturing in Industry 5.0, but there are three challenges to bridge the gap between current workshop safety management and the desired requirements. To address these challenges, a reasoning approach using Digital Twin is proposed, which includes a machine-readable semantic reasoning framework, modeling of unsafe states ontology, and the construction of a high-fidelity virtual Digital Twin Workshop. The approach is validated through an experiment and shows promising results.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Xi Gong, Shuyang Peng, Yujian Lu, Shaohua Wang, Xiao Huang, Xinyue Ye
Summary: This study analyzes Twitter communication between nonprofit organizations and government agencies during the COVID-19 pandemic to explore their connection and interaction patterns. Nonprofits use Twitter to share information, build communities, and take actions for disaster response, while government agencies play a leadership role in providing guidelines and information. Geographical location and mission homophily and heterophily influence the connections and interactions among these organizations.
SOCIAL SCIENCE COMPUTER REVIEW
(2023)
Article
Construction & Building Technology
Chao Wu, Yu Ye, Fanzong Gao, Xinyue Ye
Summary: There is a strong correlation between the physical environment, human perception, and urban vitality. This study uses EasyGo data to analyze differences in daytime and nighttime vitality in Shenzhen, China, and calculates subjective and objective variables based on street view images to reflect human perceptions. The results suggest that urban vitality is influenced by the allocation of urban function, accessibility, building form, and human perceptions, with daytime and nighttime vitality showing distinct differences.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Public, Environmental & Occupational Health
Shichao Du, Jie Yao, Gordon C. Shen, Betty Lin, Tomoko Udo, Julia Hastings, Fei Wang, Fusheng Wang, Zhe Zhang, Xinyue Ye, Kai Zhang
Summary: This study employs machine learning to investigate the social drivers of mental health in different census tracts in the U.S. The results indicate that social drivers have a significant impact on mental health problems, and the effects vary based on factors such as poverty and racial segregation.
AMERICAN JOURNAL OF PREVENTIVE MEDICINE
(2023)
Editorial Material
Computer Science, Information Systems
Song Gao, Yingjie Hu, Wenwen Li, Lei Zou
Article
Geography, Physical
Jinwen Xu, Yi Qiang, Heng Cai, Lei Zou
Summary: The increasing intensity of extreme weather events highlights the importance of the electrical power system as a crucial component of our infrastructure. However, a lack of household-level power outage data impedes timely and accurate assessments. To address this challenge, we introduced an analytical workflow using NASA's Black Marble nighttime light images to detect power outages during the 2021 Winter Storm Uri. The results demonstrate environmental justice concerns, with Latino/Hispanic communities suffering more from power outages at both the county and census tract levels.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Article
Geosciences, Multidisciplinary
Shi Chang, Rohan Singh Wilkho, Nasir Gharaibeh, Garett Sansom, Michelle Meyer, Francisco Olivera, Lei Zou
Summary: This article analyzes 6,065 flash flood events in Texas from 2005 to 2019 and finds that injuries and fatalities during flash flooding are rare (about 2% occurrence rate). A predictive model is developed to estimate the likelihood of these occurrences and identify factors such as climate, environment, and situation that affect them. The model considers ten independent variables and shows that vehicle-related activities have the greatest impact on the probability of human harm occurrence.
Editorial Material
Regional & Urban Planning
Dawn Jourdan, Chanam Lee, Galen Newman, Shannon VanZandt, Xinyue Ye
JOURNAL OF PLANNING EDUCATION AND RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Li An, Volker Grimm, Yu Bai, Abigail Sullivan, B. L. Turner II, Nicolas Malleson, Alison Heppenstall, Christian Vincenot, Derek Robinson, Xinyue Ye, Jianguo Liu, Emilie Lindkvist, Wenwu Tang
Summary: This article discusses the wide use of Agent-based modeling (ABM) in various disciplines and practice domains, as well as the advances and challenges in understanding agent behaviors. The authors emphasize the potential revolutionary impacts of artificial intelligence and data science in understanding agent decisions and behaviors in complex systems. They propose an innovative approach using reinforcement learning and convolutional neural networks to equip agents with self-learning intelligence. The article calls for further developments of ABM, particularly in modeling agent behaviors, with the integration of data science and artificial intelligence.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Computer Science, Interdisciplinary Applications
Rohan Singh Wilkho, Nasir G. Gharaibeh, Shi Chang, Lei Zou
Summary: Structured databases on flash flood events lack comprehensive information, especially emerging data such as visual media. To address this issue, a flash flood information retrieval (FF-IR) system was developed, which utilizes machine learning models to automate and improve the information retrieval process. The FF-IR system outperforms direct Google searches by over 100% in terms of F2-score, offering a valuable tool for natural hazard researchers and practitioners to enhance flash flood risk assessments and mitigation planning.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Review
Geography, Physical
Nina S. N. Lam, Michelle Meyer, Margaret Reams, Seungwon Yang, Kisung Lee, Lei Zou, Volodymyr Mihunov, Kejin Wang, Ryan Kirby, Heng Cai
Summary: This paper develops a framework for analyzing social media's role in disaster resilience research and management by categorizing its use and identifying challenges. The framework is based on case studies of Twitter use during three hurricanes in the United States. The paper highlights the benefits of social media data in communication, emergency response, sentiment analysis, and predictive modeling, while acknowledging challenges such as misinformation spread, disparities in Twitter use, data processing and analysis issues, and algorithm bias. The paper proposes strategies for organizations, individuals, social media companies, and researchers to enhance social media use for increased disaster resilience.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Article
Geography, Physical
Bing Zhou, Lei Zou, Yingjie Hu, Yi Qiang, Daniel Goldberg
Summary: Extracting precise geographical information from texts, known as toponym recognition, is crucial for geographical information retrieval and various spatial analyses. Existing methods and tools for toponym recognition are insufficient in supporting tasks that require extracting fine-grained geographic information, such as locating individuals with addresses in social media during disasters. This paper proposes TopoBERT, a toponym recognition module based on a Convolutional Neural Network and BERT, which achieves state-of-the-art performance and can be easily applied to diverse toponym recognition tasks without additional training.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Article
Geography, Physical
Chen Wanxu, Pan Sipei, Ye Xinyue
Summary: Under the framework of ecological civilisation, the formulation of territorial spatial planning (TSP) and improvement of spatial governance systems are of great practical significance. This study traces the history of land-use planning (LUP) in China, analyzes its evolution and classification system, and discusses the three rounds of general LUP practice and the current TSP in the past 40 years. The development of LUP is closely related to economic development and can be divided into four stages. The classification of land-use in China has been slow and can be divided into five stages. The development of LUP methods can be divided into two stages, before and after 1978. Future development should focus on innovating theories and methods of TSP with Chinese characteristics to achieve rural revitalization and ecological civilization.
JOURNAL OF GEOGRAPHICAL SCIENCES
(2023)
Review
Geography, Physical
Liu Sheng, Ge Jian, Ye Xinyue, Wu Chao, Bai Ming
Summary: This study aims to bridge the gap between urban vitality research and practical application by exploring the content and methods of vitality assessment. The research highlights the diversity of research subjects, the authenticity and comprehensiveness of vitality measurement, and the multidomain of impact factor analysis as the main gaps between current research and practice. The study proposes expandable aspects including multi-dimensional vitality evaluation, methods reflecting high-quality social interactions and perceptions of vulnerable groups, the impact of design and urban management on vitality, and the synergistic effects of multiple indicators on vitality.
JOURNAL OF GEOGRAPHICAL SCIENCES
(2023)
Article
Environmental Sciences
Jin-Tao Yuan, Wan-Xu Chen, Jie Zeng, Xin-Yue Ye
Summary: Cropland elevation uplift (CLEU) poses a new challenge for agricultural modernization, food security, and sustainable cropland use in China. Understanding the rules of CLEU is crucial for sustainable agricultural development and rural revitalization strategy. However, current studies lack comprehensive analysis of the multi-scale CLEU evolution, hindering the formulation of specific cropland protection policies.
JOURNAL OF MOUNTAIN SCIENCE
(2023)
