Article
Geosciences, Multidisciplinary
Kamol C. Roy, Samiul Hasan, Omar I. Abdul-Aziz, Pallab Mozumder
Summary: Evacuation is an effective strategy to reduce risk during natural disasters. However, the interplay of various factors in forming overall risk perception and evacuation decision is not well explored. This study uses an agent-based model to investigate the impact of flood-related hazard risk, household socio-demographic factors, social network characteristics, and neighbors' decisions on hurricane evacuation. The findings suggest that higher perceived credibility of hazard risk leads to higher evacuation compliance.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Computer Science, Artificial Intelligence
Jia Chen, Gang Kou, Haomin Wang, Yiyi Zhao
Summary: In social networks, the influence of advertisement opinion leaders plays a crucial role in shaping followers' opinions. The study reveals that advertisement influence has a dual effect on opinion evolution, and the probability of information transmission by opinion leaders significantly impacts collective opinion evolution.
INFORMATION FUSION
(2021)
Article
Computer Science, Theory & Methods
Cheick Tidiane Ba, Matteo Zignani, Sabrina Gaito
Summary: The United Nations' effort to achieve the 17 Sustainable Development Goals has led to the adoption of IT solutions in various fields. One interesting example is the use of complementary currencies, which support national economies in providing humanitarian aid and promoting sustainable development. However, there is a lack of studies on cooperative behavior within these currencies, especially during crises like the COVID-19 pandemic. This study analyzes Sarafu, a successful digital complementary currency, and finds that users heavily rely on cooperation groups, with interactions influenced by time and geographical location. The study highlights the importance of understanding cooperative behavior for social development projects. Rating: 8/10
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Psychology, Multidisciplinary
Ruopeng Huang, Fangyun Xie, Xinyue Fu, Wenli Liu
Summary: Neighborhood renewal is a crucial strategy for sustainable urban development in China, yet it encounters social challenges due to the diversity of residents' interests and complex relationships. However, there is limited research on intra-resident relations and conflicts in China. This study utilizes social capital to provide a deeper understanding of resident relationships in neighborhood renewal. The findings highlight the positive impact of structural social capital on relational and cognitive social capital, with relational social capital playing a mediating role. The study contributes to the understanding of residents' social systems in neighborhood renewal and provides theoretical support for neighborhood renewal policies in China and beyond.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Automation & Control Systems
Jiayao Shen, Sha Wang, Feixia Ji, Tiantian Gai, Jian Wu
Summary: This study investigates the reconciliation mechanism to manage non-cooperative behaviors in social network groups using a cooperative intention index. Different types of non-cooperative behaviors are identified and reconciliation mechanisms are proposed accordingly.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Development Studies
Daizhong Tang, Xueyang Gong, Menglan Liu
Summary: Neighborhood micro-renewal is crucial for revitalizing old neighborhoods and achieving urban sustainability. This study investigates the determinants of residents' participation intention and behavior in micro-renewal projects using the theory of planned behavior and the expectation-confirmation model. The findings suggest that subjective norms, behavioral attitudes, and perceived behavioral control influence participatory intention and behavior. Additionally, the perceived usefulness affects intention positively, while satisfaction has no significant impact on behavior. Community attachment moderates the effect of intention on behavior. The study provides insights for promoting residents' participation awareness in micro-renewal projects.
HABITAT INTERNATIONAL
(2022)
Article
Engineering, Multidisciplinary
Chong Jia, Ruixue Zhang, Dan Wang
Summary: The relationship among social capitals is complex in PPP projects, and it is important to clarify the evolutionary mechanism of their cooperative behavior.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Geography
Yushu Zhu, Changdong Ye
Summary: This study examines the impact of different modes of urban renewal on the sense of home for affected residents in urban China. The research finds that micro-renewal is less likely to disrupt residents' neighborhood perception, with changes primarily attributed to socio-spatial restructuring.
Article
Computer Science, Interdisciplinary Applications
Qiankun Zhong, Martin Hilbert, Seth Frey
Summary: This study uses an agent-based model to investigate the influence of individual choices and communicative affiliation on social network structure and cultural consumption patterns. The research finds that increased access to elite culture in societies driven by economic factors can reduce social segregation and reshape social network structures. The study has important implications for understanding cultural markets on social media, the digital divide, and the fragmentation of news outlets.
SOCIAL SCIENCE COMPUTER REVIEW
(2023)
Review
Ornithology
Ahva L. Potticary, Renee A. Duckworth
Summary: Cooperative breeding behavior in birds can range from inducible to obligate strategies, and may be shaped by the history of prior adaptations and the rearrangement of neuroendocrine mechanisms. Some species may be in a transitional stage in the evolution of cooperative behavior. Studying the components and underlying neuroendocrine mechanisms of cooperative breeding may provide insight into its recurrent emergence across diverse environments and avian taxa.
Article
Computer Science, Theory & Methods
Yongnan Zhang, Yonghua Zhou, Huapu Lu, Hamido Fujita
Summary: In this paper, a cooperative multi-agent actor-critic deep reinforcement learning approach with value decomposition based on edge computing architecture is proposed for real-time traffic signal control. The global learning tasks are decomposed into local sub-problems, and a cooperative mechanism is introduced to coordinate local agents towards global optimization. Simulation results show that the proposed approach outperforms other control strategies in alleviating traffic congestion.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Multidisciplinary Sciences
Daniel Bergman, Randy F. Sweis, Alexander T. Pearson, Fereshteh Nazari, Trachette L. Jackson
Summary: Agent-based models are a useful platform for studying biological processes at different scales, but they can be computationally expensive. This study proposes a method that allows for the same computational time regardless of the number of agents, significantly speeding up simulations and enabling more thorough exploration of ABMs with larger agent populations.
Article
Computer Science, Artificial Intelligence
Robert J. Bischoff, Cecilia Padilla-Iglesias
Summary: Archaeologists use social network analysis to understand past social interactions by studying material cultural remains. The ArchMatNet agent-based model was created to explore the relationship between archaeological networks and past social systems. It is a flexible model that can simulate various activities and dynamics, providing valuable information for users to make informed choices on parameter values.
PEERJ COMPUTER SCIENCE
(2023)
Review
Gerontology
Masaaki Sugiyama, Hing-Wah Chau, Takumi Abe, Yusuke Kato, Elmira Jamei, Piret Veeroja, Kazuhiko Mori, Takemi Sugiyama
Summary: This scoping review examines the role of third places in older adults' social engagement. The findings suggest that convenient and comfortable community facilities, local businesses, and open/green spaces are related to older adults' social interaction, but there is insufficient evidence regarding the relationships between third places and social networks.
Article
Health Care Sciences & Services
Sarah A. Nowak, Andrew M. Parker, Archana Radhakrishnan, Nancy Schoenborn, Craig E. Pollack
Summary: The study found that changes in provider recommendations for breast cancer screening among different age groups can impact screening rates, but the impact may not be immediate. Additionally, providers' experiences with unscreened patients, friends, and family members can gradually increase screening recommendations. Finally, provider peer effects have a significant impact on population screening rates.
Article
Construction & Building Technology
Kairui You, Yanhui Yu, Weiguang Cai, Zhengxuan Liu
Summary: This study analyzed the changes in CO2 emissions and their driving factors in China's commercial and public building sector from a temporal and spatial perspective, providing insights for developing equitable and effective decarbonization strategies. The results showed that the sector has not yet reached its CO2 emissions peak in the temporal dimension, while the gravity center has moved southwestward in the spatial dimension. The study also reviewed decarbonization strategies and provided policy implications.
BUILDING AND ENVIRONMENT
(2023)
Article
Engineering, Environmental
Kairui You, Hong Ren, Weiguang Cai, Ruopeng Huang, Yuanli Li
Summary: This study developed an innovative carbon emissions simulation model that considers climate area, building type, and end-use service to understand the carbon emission trend and tap the potential of emission mitigation. The results indicate the need for stronger strategies in China's building sector to achieve the carbon peak goal. To achieve carbon neutrality, collective efforts are required, with decarbonization of electricity generation, building stock regulation, and residential green behavior guidance being the top three contributors to carbon abatement.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Construction & Building Technology
Yuekuan Zhou, Zhengxuan Liu
Summary: Transition towards a carbon-neutral district energy community requires carbon elimination and offsetting strategies, which can be achieved by using phase change materials (PCMs) with substantial potential latent energy density. However, there is currently an ambiguous roadmap for the application of PCMs in carbon-neutral transition, making a comprehensive review on latent thermal storage necessary.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Construction & Building Technology
Yan Hu, Zhengxuan Liu, Zhengtao Ai, Guoqiang Zhang
Summary: Ventilative cooling is an energy-saving technology that improves indoor air quality while reducing thermal discomfort and overheating risk in buildings. However, the lack of an optimal control strategy hinders its widespread application. This study developed a building model to evaluate the performance of ventilative cooling systems in different cities of China. The findings suggest that an adaptive thermal comfort model may not be optimal in terms of energy efficiency, and considering radiant temperature is important for accurate energy usage estimation. The study also highlights the importance of eliminating drawbacks in the control limits to effectively harness the energy-saving potential of ventilative cooling.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Environmental Sciences
Kairui You, Liu Chen, Ruopeng Huang
Summary: Understanding the imbalance of carbon emissions in the urban residential building (URB) sector is crucial for developing equitable and effective emission reduction policies. This study analyzes the carbon emissions and per unit area carbon emissions imbalance in URB from 2005 to 2019 using the Kaya identity and Zenga index. The results show that the imbalance is primarily driven by population and energy consumption unit area, with climate having a greater impact on inter-group imbalance. These findings and suggested policies can aid in formulating fair and effective provincial decarbonization responsibilities and emission mitigation implementation policies.
Article
Psychology, Multidisciplinary
Ruopeng Huang, Fangyun Xie, Xinyue Fu, Wenli Liu
Summary: Neighborhood renewal is a crucial strategy for sustainable urban development in China, yet it encounters social challenges due to the diversity of residents' interests and complex relationships. However, there is limited research on intra-resident relations and conflicts in China. This study utilizes social capital to provide a deeper understanding of resident relationships in neighborhood renewal. The findings highlight the positive impact of structural social capital on relational and cognitive social capital, with relational social capital playing a mediating role. The study contributes to the understanding of residents' social systems in neighborhood renewal and provides theoretical support for neighborhood renewal policies in China and beyond.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Social Sciences, Interdisciplinary
Fangyun Xie, Xinyue Fu, Ruopeng Huang
Summary: This paper develops a new analytical lens by deconstructing ecosystem concepts to conceptualize China's residential building industry ecosystem (RBI-ECO) and proposes three hypotheses. The results show that the current structure of RBI-ECO does not support the development of off-site construction (OSC) due to imbalanced performance of different types of enterprises, lack of cooperation, moral risks, competition, and a fragmented supply chain. To promote the application of OSC, the government can implement mandatory policies and concrete measures, establish a designer-led mechanism, motivate enterprises to transform, and enhance learning and education for OSC enterprise managers.
Article
Construction & Building Technology
Zhengxuan Liu, Chenxi Yu, Queena K. Qian, Ruopeng Huang, Kairui You, Henk Visscher, Guoqiang Zhang
Summary: This study aims to deeply analyze the incentive initiatives related to existing building energy-efficient renovation in China, establish the policy linkages between national and local level perspectives, and provide critical analysis and good practices for two batches of pilot cities. The study also discusses the barriers to building energy-efficient renovation from four perspectives and proposes targeted pathways and strategies.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Zhengxuan Liu, Xiang Zhang, Ying Sun, Yuekuan Zhou
Summary: This study provides a comprehensive review of advanced controls for smart and energy-efficient (SEE) buildings, including advanced building energy systems, machine learning based controls, and occupant-centric controls. The study also explores the applications of advanced controls in energy-efficient and low-carbon buildings, and highlights the challenges and future prospects in terms of complexity, AI-based controllers, and climate change adaptation.
ENERGY AND BUILDINGS
(2023)
Article
Engineering, Industrial
Dan Wang, Ruopeng Huang, Kaijian Li, Asheem Shrestha
Summary: In this study, data was collected from 242 employees of four project-driven companies in 26 cities in China, including Beijing, Tianjin, Guangzhou, and Shenzhen. Structural equation modeling was used to analyze the impact of organizational structure's dual attributes on business model innovation. The findings reveal that the flexibility and efficiency of the organizational structure have a positive impact on business model innovation, with dynamic capabilities mediating this relationship. This study contributes to innovation research in project-driven enterprises by uncovering the influence of organizational structure on business model innovation and providing insights for managers to promote effective interventions.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Construction & Building Technology
Jie Hu, Zhengxuan Liu, Guochuan Ma, Guoqiang Zhang, Zhengtao Ai
Summary: Previous studies have shown that the air infiltration in buildings and its impact on indoor environment and energy consumption are influenced by climate characteristics. However, there is limited information available for buildings in southern China, where the building design traditionally emphasizes openness and shading. This study investigates the airtightness and energy consumption in a Hot Summer and Cold Winter climate region of southern China using measurements and simulations.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Environmental Studies
Ruopeng Huang, Guiwen Liu, Kaijian Li, Asheem Shrestha, Xinyue Fu, Kairui You, Xun Deng
Summary: Neighborhood renewal projects in China involve extensive participation from residents, which is influenced by their complex social relationships. This study examines the relationship between residents' cooperative behavior and their social relationships in the context of neighborhood renewal. The results show that social relationships not only impact residents' opinions on renewal, but also directly influence their intention to engage in cooperative behavior.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Environmental Studies
Xinyue Fu, Queena K. Qian, Guiwen Liu, Taozhi Zhuang, Henk J. Visscher, Ruopeng Huang
Summary: Neighborhood regeneration is crucial for environmental improvement, and encouraging resident participation is essential for effective environmental management. However, residents in China often have psychological inertia towards participating in neighborhood regeneration due to the legacy of the former housing allocation system and cultural contexts. This study proposes disrupting psychological inertia and reshaping participation behavior through stimulating factors to promote resident participation.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Computer Science, Interdisciplinary Applications
Ting Lian, Becky P. Y. Loo, Zhuangyuan Fan
Summary: This study proposes a new method for estimating pedestrian volume using bus dashcam videos and deep learning methods. The results show that pedestrian volumes calculated from these videos have better performance in explaining crash frequency compared to alternative measures.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2024)
Article
Computer Science, Interdisciplinary Applications
Joao Paulo Just Peixoto, Joao Carlos N. Bittencourt, Thiago C. Jesus, Daniel G. Costa, Paulo Portugal, Francisco Vasques
Summary: This article explores the use of multi-sensor Emergency Detection Units (EDUs) to improve urban emergency response. By leveraging data-driven approaches and geospatial data, the positioning of these units can be optimized. Additionally, the coverage area of existing networks is modeled, and the EDUs are fine-tuned based on connectivity requirements to enhance the effectiveness of emergency management systems.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2024)
Article
Computer Science, Interdisciplinary Applications
Congxiao Wang, Zuoqi Chen, Bailang Yu, Bin Wu, Ye Wei, Yuan Yuan, Shaoyang Liu, Yue Tu, Yangguang Li, Jianping Wu
Summary: The COVID-19 pandemic has caused significant changes in urban networks. By modifying the radiation model and using nighttime light data, researchers were able to measure directional urban networks during different scenarios. Results showed that the Shanghai lockdown reduced urban interactions between Shanghai and its surrounding cities while increasing interactions centered on peripheral cities in the Yangtze River Delta Region.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2024)
Article
Computer Science, Interdisciplinary Applications
Esteban Bopp, Johnny Douvinet, Noe Carles, Pierre Foulquier, Matthieu Peroche
Summary: This study investigates a cell broadcast trial conducted in Cannes, France, revealing the imprecision of cell broadcasting at the local level. The reception rates depend on telephone operators, and a large and irregular edge effect is observed, indicating that the message is broadcast beyond the official alert area.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2024)
