Article
Public, Environmental & Occupational Health
Lei Hua, Rong Ran, Tingrou Li
Summary: Rapid urbanization has increased the spatial links between cities, leading to a higher risk of epidemic spread. Traditional methods lack early and accurate detection of epidemics. This study used Tencent's location big data to analyze the spread of COVID-19 in Hubei province. The results showed that the spatial distribution of urban relation intensity, urban centrality, and the number of infected people had high similarity, indicating a core-periphery distribution pattern with Wuhan as the core and Huanggang and Xiaogan as the periphery. There was a significant positive correlation between urban relation intensity, urban centrality, and the number of infected people. This research can help city managers effectively allocate resources and formulate policies to control epidemics.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Computer Science, Theory & Methods
Adam Sadowski, Zbigniew Galar, Robert Walasek, Grzegorz Zimon, Per Engelseth
Summary: The Covid-19 pandemic, originating from Wuhan, China, has led to a significant number of deaths worldwide. Countries have implemented spatial restrictions and social distancing measures to combat the rapid transmission of SARS-CoV-2. Research reveals a significant link between changes in mobility and the number of Covid-19 cases globally, with a focus on the impact of lockdown measures and different types of mobility on the development of the pandemic. Geographical diversity in human mobility and its effect on the number of new Covid-19 cases has also been highlighted.
JOURNAL OF BIG DATA
(2021)
Article
Psychology, Multidisciplinary
Nadia Rania, Ilaria Coppola
Summary: The study conducted in Italy during the lockdown period found that people experienced lower levels of happiness and mental health, but higher levels of loneliness. The lockdown and pandemic seemed to have eliminated gender differences in happiness and mental health perception, while increasing loneliness perception among males. People living alone reported higher levels of loneliness compared to those living with a partner or partner and children. The study's results suggest the need for policymakers to pay attention to the psychological well-being implications of drastic measures like lockdowns.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Multidisciplinary Sciences
Gal Yavetz, Noa Aharony
Summary: The aim of this study is to investigate how central government agencies in Israel used social media to communicate and disseminate information to the public during the outbreak of the Coronavirus. The Ministry of Health had the highest engagement rates compared to other ministries. The posts were categorized into four main categories: Policy, Advocacy & COVID-19 additional information, Restrictions, Guidelines & Recommendations.
Article
Urban Studies
Haoran Zhang, Peiran Li, Zhiwen Zhang, Wenjing Li, Jinyu Chen, Xuan Song, Ryosuke Shibasaki, Jinyue Yan
Summary: Lockdown measures have been effective in controlling the pandemic, but have also caused significant economic damage. Research suggests that the strictest lockdown policies are both epidemiologically and economically efficient. Additionally, cutting off intercity commuting is crucial in the implementation of lockdown strategies.
Article
Transportation
Evgeniia Shtele, Paolo Beria, Vardhman Lunkar
Summary: This paper examines the suitability of mobility-related datasets in describing and predicting new COVID-19 cases in Italy during the initial phase of the outbreak. The study finds that time-dependent mobility data significantly improves the models' significance and effectively explains the irregular rise of cases in different parts of the country. The results also highlight the usefulness of colocation matrices as a measure.
EUROPEAN JOURNAL OF TRANSPORT AND INFRASTRUCTURE RESEARCH
(2022)
Article
Psychology, Multidisciplinary
Veronica Cucchiarini, Laura Caravona, Laura Macchi, Federico L. Perlino, Riccardo Viale
Summary: This study aims to identify the tools necessary for COVID-19 health emergency management and the most effective messages and sources for communication during a critical phase. The findings suggest that government injunctive norms were effective in promoting behavioral intentions in the national sample, while descriptive norms were as effective as government injunctive norms among students with lower risk perception.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Cardiac & Cardiovascular Systems
Andrea Rognoni, Fabrizio D'Ascenzo, Martina Solli, Marco G. Mennuni, Vincenzo Galiffa, Roberta Rosso, Chiara Cavallino, Fabrizio Ugo, Ovidio De Filippo, Andrea Borin, Italo Porto, Francesco Fedele, Massimo Mancone, Gennaro Sardella, Daniela Trabattoni, Umberto Barbero, Cinzia Moncalvo, Roberto Verardi, Gianni Casella, Claudio Montalto, Sergio Leonardi, Danila Azzolina, Gaetano Maria De Ferrari, Giuseppe Patti
Summary: The study revealed an increase in MI admissions after the national lockdown for COVID-19 was lifted in Italy. This increase was more pronounced in the first weeks after the lockdown’s removal and was particularly evident in patients with non ST-segment elevation MI. The overall MI admission rate was higher post-lockdown compared to intra-lockdown, lower than pre-lockdown, and similar to the inter-year non-COVID-19 period.
INTERNATIONAL JOURNAL OF CARDIOLOGY
(2021)
Article
Psychiatry
Giovanni Castellini, Eleonora Rossi, Emanuele Cassioli, Giulia Sanfilippo, Matteo Innocenti, Veronica Gironi, Caterina Silvestri, Fabio Voller, Valdo Ricca
Summary: The study aimed to assess the impact of lockdown during the COVID-19 pandemic on mental health in Italy. Longitudinal analysis showed an increase in phobic anxiety and depressive symptoms during lockdown, while interpersonal sensitivity and paranoid ideation decreased. Individuals with pre-existing psychopathology and those experiencing economic damage during the pandemic were more likely to develop deterioration of their mental health.
JOURNAL OF PSYCHOSOMATIC RESEARCH
(2021)
Article
Construction & Building Technology
Abir E. L. Azzaoui, Sushil Kumar Singh, Jong Hyuk Park
Summary: This paper presents a framework based on SNS for COVID-19 outbreak prediction using the Twitter platform, which demonstrates the ability to predict future outbreaks earlier by analyzing data collected from social network services.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Geriatrics & Gerontology
Filippo Rapisarda, Martine Vallarino, Alessia Rosi, Anne-Lise Florkin, Irene Ceccato, Serena Lecce, Floris Van Vugt, Catherine Briand, Elena Cavallini
Summary: This study used a qualitative approach to analyze the subjective experience of 19 healthy older adults during the COVID-19 outbreak, and developed a model of their psychological adaptation to the pandemic. The results showed that older adults adjust to the disruption of habits, social contacts, and routines by engaging in a process of meaning-making. The study has implications for designing effective messages and supporting the psychological health of older adults during the pandemic.
AGING & MENTAL HEALTH
(2023)
Article
Economics
Gorkem Sariyer, Serpil Kahraman, Mert Erkan Sozen, Mustafa Gokalp Ataman
Summary: This paper analyzes the fiscal responses to the COVID-19 crisis in 127 countries and concludes that they have played a significant role in controlling the spread of the disease and reducing fatality rates. The study finds that rich countries with larger fiscal responses had lower fatality rates, and similarly, less developed economies with a greater health-related component in their fiscal responses also achieved relatively successful outcomes.
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS
(2023)
Article
Environmental Sciences
Perry Hystad, Ofer Amram, Funso Oje, Andrew Larkin, Kwadwo Boakye, Ally Avery, Assefaw Gebremedhin, Glen Duncan
Summary: This study assessed the potential use of Google Location History (GLH) data for capturing long-term retrospective time-activity data for environmental health research. The results demonstrated that GLH data is a feasible and cost-effective method for capturing the historical time-activity patterns of participants.
ENVIRONMENTAL HEALTH PERSPECTIVES
(2022)
Article
Psychiatry
Giuseppe Mannino, Laura Salerno, Rubinia Celeste Bonfanti, Gaia Albano, Gianluca Lo Coco
Summary: The study found that fear of COVID-19 and increased time spent on Facebook during the pandemic could lead to an increase in disordered eating cognitions. Maladaptive Facebook use mediated the relationship between daily time on Facebook and shape concerns.
Article
Multidisciplinary Sciences
Francesco Scotti, Francesco Pierri, Giovanni Bonaccorsi, Andrea Flori
Summary: This paper presents a multidisciplinary and open innovation approach to address the health and economic crisis caused by the COVID-19 pandemic. By promoting knowledge sharing and collaboration through data initiatives like Facebook's Data For Good program, valuable insights can be gained to tackle pressing social needs. The case study of Italian mobility during lockdown demonstrates the potential of data sharing for private businesses and local authorities. However, barriers to adoption of such practices by public administrations are also discussed.
Article
Construction & Building Technology
Gabriele Bernardini, Tiago Miguel Ferreira, Pilar Baquedano Julia, Rafael Ramirez Eudave, Enrico Quagliarini
Summary: This research offers a methodology for combined spatiotemporal flood risk assessment, considering hazard, physical vulnerability, user exposure, and vulnerability. It adopts a mesoscale approach and investigates indoor and outdoor users' exposure and vulnerability, using the Analytical Hierarchy Process to combine risk factors.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Ying Liu, Chunli Chu, Ruijun Zhang, Shaoqing Chen, Chao Xu, Dongliang Zhao, Chunchun Meng, Meiting Ju, Zhi Cao
Summary: This study investigates the effects of increasing road, wall, and roof albedo on mitigating the urban heat island (UHI) effect in different areas of Tianjin. The results reveal that increasing road albedo is more effective in fringe areas, while increasing wall and roof albedo is more effective in central areas. The temperature changes induced by albedo changes also show seasonal characteristics.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Xisheng Lin, Yunfei Fu, Daniel Z. Peng, Chun-Ho Liu, Mengyuan Chu, Zengshun Chen, Fan Yang, Tim K. T. Tse, Cruz Y. Li, Xinxin Feng
Summary: This study employed computational fluid dynamics and neural network models to investigate and predict pollutant dispersion in urban environments, providing valuable insights for designing effective strategies to mitigate the impacts of hazardous pollutants.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Dipanjan Nag, Arkopal Kishore Goswami
Summary: Future-oriented urban planning should continue to focus on the principles of accessible and walkable cities. The perception of people is crucial for developing better urban walking infrastructure, but current evaluation tools often neglect the "perceived" features of the walking network. This study used conjoint analysis to evaluate users' perception of link and network attributes, revealing the importance of considering both in improving the walking environment.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Yongxin Su, Tao Zhang, Mengyao Xu, Mao Tan, Yuzhou Zhang, Rui Wang, Ling Wang
Summary: This study proposes an optimization method for household integrated demand response (HIDR) by combining rough knowledge and a dueling deep Q-network (DDQN), aiming to address uncertainties in a household multi-energy system (HMES). The simulation results demonstrate that the proposed method outperforms rule-based methods and DDQN in terms of energy cost savings.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Sijia Sun, S. F. A. Batista, Monica Menendez, Yuanqing Wang, Shuang Zhang
Summary: This paper comprehensively analyzes the energy consumption characteristics of electric buses (EBs) and diesel buses (DBs) on different bus lane configurations and operational conditions. The study shows that EBs consume less energy in suburban areas when using regular lanes, while both EBs and DBs save substantial energy when operating on dedicated bus lanes in downtown areas. Notably, shared-use bus lanes have the highest energy consumption.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Shangshang Shen, Dan Yan, Xiaojie Liu
Summary: This study developed a comprehensive theoretical framework for evaluating, diagnosing, and optimizing multi-functional urban agriculture. The framework was applied in Xiamen, China to identify the obstacles that impede its coordinated development and propose optimized modes for its development. Results showed that urban agriculture in Xiamen exhibits sound social function, moderate economic function, and poor ecological function.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Oluwafemi E. Adeyeri, Akinleye H. Folorunsho, Kayode I. Ayegbusi, Vishal Bobde, Tolulope E. Adeliyi, Christopher E. Ndehedehe, Akintomide A. Akinsanola
Summary: This study examines the impact of land cover, vegetation health, climatic forcings, elevation heat loads, and terrain characteristics on land surface temperature distribution over West Africa. The random forest model performs the best in downscaling predictands. The southern regions consistently exhibit healthy vegetation, while areas with unhealthy vegetation coincide with hot land surface temperature clusters. Positive Normalized Difference Vegetation Index trends in the Sahel highlight rainfall recovery and subsequent greening. Southwest winds cause the upwelling of cold waters, resulting in low land surface temperatures in southern West Africa. Considering LVCET factors is crucial for prioritizing greening initiatives and urban planning.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Yuchi Cao, Yan Li, Shouyun Shen, Weiwei Wang, Xiao Peng, Jiaao Chen, Jingpeng Liao, Xinyi Lv, Yifan Liu, Lehan Ma, Guodian Hu, Jinghuan Jiang, Dan Sun, Qingchu Jiang, Qiulin Liao
Summary: The study reveals significant disparities in urban green equity, with high property price areas having better access to green spaces than low property price areas. Landscape and greening have the most significant impact on urban green space differentiation.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Shaobo Sun, Kui Shan, Shengwei Wang
Summary: Economizer control is an important measure for energy savings in air-conditioning systems during moderate seasons. Humidity measurement uncertainties have a significant impact on enthalpy-based economizer control, and an uncertainty-tolerant control strategy is proposed to mitigate these effects.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Ding Mao, Peng Wang, Yi-Ping Fang, Long Ni
Summary: This study analyzes the structure, function, operation, and failure characteristics of district heating networks (DHNs) and proposes vulnerability analysis methods. The effectiveness of these methods is validated through application to a DHN in a Chinese city. The study finds that the heat source connectivity efficiency loss rate effectively characterizes topological and functional vulnerability. It also reveals that controllable DHNs have higher functional vulnerability under large area failure scenarios.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Hamid Karimi, Saeed Hasanzadeh, Hedayat Saboori
Summary: This paper presents a stochastic and cooperative approach for the operation of a cluster of interconnected multi-energy systems. The proposed model investigates the interaction among energy systems and integrates hydrogen and water systems into the overall energy structure. The model studies the performance of energy system agents in decentralized and cooperative scheduling.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Zhiyu Yan, Xiaogang Guo, Zilong Zhao, Luliang Tang
Summary: This study proposes a novel framework for fine-grained information extraction and dynamic spatial-temporal awareness in disaster-stricken areas based on social media data. The framework utilizes deep learning modules to extract location and water depth information from text and images, and analyzes the spatio-temporal distribution characteristics. The results show that the fusion of text and image-based information can enhance the perception of flood processes.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
M. A. Pans, G. Claudio, P. C. Eames
Summary: This study simulated and optimized a speculative district heating system in an existing urban area in Loughborough, UK. The system used only renewable heat sources and thermal energy storage to address the mismatch between heat generation and demand. The study assessed the impact of long-term storage volume and charging temperature on system cost and energy efficiency.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Jianmei Zhong, Wei Zhang, Xiaoli Wang, Jinsheng Zhan, Tao Xia, Lingzhi Xie, Xiding Zeng, Kun Yang, Zhangyu Li, Ruiwen Zou, Zepu Bai, Qing Wang, Chenyang Zhang
Summary: This study aims to propose a suitable air distribution design and reduce the energy consumption of the BSL-4 laboratory. It analyzes the diffusion characteristics of aerosols, infection risk under different air distributions, and ventilation parameters. The results show that the proposed energy-saving operation strategy can reduce the energy consumption of the laboratory by 15-30%.
SUSTAINABLE CITIES AND SOCIETY
(2024)