Article
Environmental Sciences
Tang Liu, Benjamin J. Zhou, Hou Jiang, Ling Yao
Summary: Mangroves are crucial for coastal ecosystems, but accurately estimating their density using satellite data is challenging. This study proposes a density regression-based mapping network that effectively captures the multiscale characteristics of mangroves. The network is applied to mapping the number of mangrove trees in the Greater Bay Area, revealing higher tree density on the beach compared to the riverbank. This research opens new prospects for satellite-based mangrove monitoring.
MARINE POLLUTION BULLETIN
(2023)
Article
Green & Sustainable Science & Technology
Luqi Wang, Zhenqiang Wu, Xiaoxia Wang
Summary: This study identifies coupled factors related to emissions using a coupled system framework and reveals the significance and potential of these factors for decarbonization. The findings have important implications for policymakers in designing decarbonization strategies.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Lihui Chen, Shaohong Xia
Summary: This study investigates the correlation between human activity and ambient seismic noise, suggesting that the analysis of ambient seismic noise provides valuable insights into social mobility and can reveal the spatial and temporal impacts of different factors on human activity. The study also highlights the potential of seismometers as innovative tools for sensing human activity.
Article
Engineering, Civil
Ying Xin, Ning Lu, Hou Jiang, Yangxiaoyue Liu, Ling Yao
Summary: This study evaluates and compares the ability of ERA5-Land and ERA5-HRES products in the Guangdong-Hong Kong-Macao Greater Bay Area. The results show that ERA5 products generally characterize moderate-intensity rain, with better performance in the southern coastal plains during the wet season and in the northern mountainous vegetation areas during the dry season, but face challenges in modeling precipitation in highly urbanized areas.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Multidisciplinary
Ya Zhou, Kejun Li, Sheng Liang, Xuelan Zeng, Yanpeng Cai, Jing Meng, Yuli Shan, Dabo Guan, Zhifeng Yang
Summary: The study investigates the trends, drivers, and mitigation pathways of CO2 emissions in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The results indicate that CO2 emissions in the GBA have slowed down significantly since 2017 and have decoupled from economic growth. Economic growth and energy intensity are identified as major drivers and inhibitors of CO2 emissions, respectively. Industrial upgrades and technological advances have played a significant role in curbing the growth of CO2 emissions.
Article
Development Studies
Peng Chen, Shaozhen Chen
Summary: This paper examines the network linkages of housing prices in the Greater Bay Area (GBA) and finds evidence of contemporaneous causality and cross-city housing market connectedness. The study reveals a hierarchical structure in housing price transmission from core cities to key node cities within the GBA. Furthermore, the spillover index highlights the importance of cross-city connectedness in the volatility of housing markets in the GBA. However, the patterns of housing price connectedness vary across different categories of cities in the GBA. Additionally, similarities in economic openness and urbanization contribute to the strong linkages of regional housing markets in the GBA.
HABITAT INTERNATIONAL
(2023)
Article
Ecology
Xianchun Zhang, Yang Chen, Yuanshuo Xu, Wenze Yue, Chenghui Tang
Summary: Regional cooperation is used to address inefficient urban land use caused by jurisdiction-based land management in China. However, limited research has explored the impact of regional cooperation on urban sprawl in economic, social, and institutional aspects. This study develops a framework and analyzes data from the Guangdong-Hong Kong-Macao Greater Bay Area to show that cooperation on economic and social affairs can constrain urban sprawl through joint land development and infrastructure building. However, cooperation on institutional affairs is weak and fails to prevent spatial planning issues.
LANDSCAPE AND URBAN PLANNING
(2023)
Article
Biodiversity Conservation
Rui Zhang, Sheng Chen, Liang Gao, Junjun Hu
Summary: This study proposes a comprehensive social-economic-ecological framework to assess the vulnerability pattern of the Guangdong-Hong Kong-Macao Greater Bay Area. Using geographic detectors and weighting methods, the study quantifies spatiotemporal variation and identifies the driving mechanisms behind vulnerability. The results show an overall increase in ecosystem vulnerability in the area, although there has been some improvement in recent years. Climate change and human activities are the main drivers of vulnerability changes.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Xiaojun You, Qixiang Li, Kyle M. Monahan, Fei Fan, Haiqian Ke, Na Hong
Summary: Collaborative innovation has the potential to constrain the ecological footprint, but its impact is still controversial. This study examined the case of the Guangdong-Hong Kong-Macao Greater Bay Area in China and found that collaborative innovation had a double-threshold effect on the ecological footprint. Scientific personnel and capital flow increased the ecological footprint, while technology collaboration exerted inhibitory effects.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Energy & Fuels
Yuekuan Zhou
Summary: This study proposes a spatiotemporal energy network in the Guangdong-Hong Kong-Macao Greater Bay Area, which addresses the regional imbalance distribution, dynamic intermittence, and fluctuation of renewable resources through smart transportation for energy sharing. By implementing advanced energy pricing policies and energy interaction modes, stakeholders' participation willingness can be economically incentivized.
Article
Public, Environmental & Occupational Health
Wenjing Cui, Jing Chen, Huawen Shen, Yating Zhang, Shuting Liu, Yiting Zhou
Summary: Based on the vulnerability assessment of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), this study found that the overall vulnerability to public health events in the area is decreasing, with different levels of sensitivity, coping capacity, and collaborative governance capacity in different regions.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Yang Lu, Jiansi Yang, Min Peng, Tian Li, Dawei Wen, Xin Huang
Summary: This paper proposes a deep learning method to assess the changes in ecosystem services in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) and quantifies the value of these services using an index-based evaluation method. The results show the effectiveness and accuracy of the proposed method and reveal the mismatch between ecosystem service supply and demand as well as the spatial characteristics of ecosystem service budget changes in the GBA.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Qian Li, Jianping Wu, Yongxian Su, Chaoqun Zhang, Xiong Wu, Xingping Wen, Guangqing Huang, Yujiao Deng, Raffaele Lafortezza, Xiuzhi Chen
Summary: This study examined the ecological security states in the Guangdong-Hong Kong-Macao Greater Bay Area from 1994 to 2018 and predicted a potentially extreme insecurity state by 2050 based on current trends in socio-economic activities and climate change. The research suggests that adjustment of industrial structure, optimization of energy structure, and conservation of biological resources can reduce ecological footprint intensity, contributing to a higher security status in the region.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Luqi Wang, Zhenqiang Wu, Haoliang Ye, Weimin Feng
Summary: This study examines the spatial effect of transportation infrastructure on the development of the circular economy in the Guangdong-Hong Kong-Macao Greater Bay Area. The results show that while the regional circular economy in the area has developed, it is still closely tied to economic development. The improvement of transportation infrastructure has a positive impact on the circular economy of neighboring cities but may inhibit the development of the local circular economy.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Liangkui Zhang, Gang Li, Chenhui Xiang, Yadong Huang, Xiaoming Fu, Chuanyang Zheng, Zheng Wang, Zhiyuan Ouyang, Xingyu Song
Summary: This study explored the metabolism of plankton community and its driving forces in the coastal waters of the Guangdong-Hong Kong-Macao Greater Bay Area (GGBA). The results showed that the estuarine plume of the GGBA had the highest gross primary production (GPP) and community respiration (CR) in summer, while the Daya Bay had more active metabolisms in winter. The metabolic states varied significantly in different regions due to the variations of nutrient level, temperature, and turbidity driven by multiple factors. Overall, the GGBA areas exhibited weak heterotrophic processes in both summer and winter.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Engineering, Industrial
Xiaoyan Jiang, Haoyu Sun, Kun Lu, Sainan Lyu, Martin Skitmore
Summary: This study uses evolutionary game theory to analyze the construction safety supervisory mechanism (CSSM) in China. The research finds that supervision engineers play a crucial role in the CSSM and excessive inspection and free-market regulation are not wise strategies for government supervision agencies. The study suggests that reducing inspection frequency can be possible when general contractors invest in safety and supervision engineers carry out responsible supervision. However, proper government supervision is still necessary to prevent unlawful behaviors by contractors and rent-seeking by supervision engineers. Additionally, excessive governmental supervision can weaken the role of supervision engineers, thus some supervision powers should be transferred to them.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Business, Finance
Matthew Moorhead, Lynne Armitage, Martin Skitmore
Summary: This study examines the relationships between developer characteristics and the use of hurdle rate metrics. It finds that dominant property type, ownership, organizational structure, and size all influence the selection of hurdle rates.
JOURNAL OF PROPERTY INVESTMENT & FINANCE
(2023)
Article
Environmental Sciences
Jiabin Chen, Xinyao He, Caiyun Cui, Bo Xia, Martin Skitmore, Yong Liu
Summary: Public acceptance plays a crucial role in the provision of potentially hazardous facilities, and factors such as perceived risk, benefit, stress, fairness, and public trust can influence it. This study examined the underlying mechanism of perceived stress on public acceptance of waste-to-energy incinerators through a face-to-face questionnaire survey of 1066 urban residents in three regional central cities in China. The results show that perceived stress affects acceptance by influencing perceived risk, fairness, and public trust. Additionally, the influence of individual perceptions on acceptance varies between cities with different economic, cultural, and social characteristics.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Civil
Jeffrey Boon Hui Yap, Karen Pei Han Lee, Martin Skitmore, Yoke Lian Lew, Wah Peng Lee, Danielle Lester
Summary: Despite efforts to improve health and safety management, accidents and injuries are still major problems in the construction industry. This paper examines the predictors influencing the successful adoption of safety technologies in the construction industry, using a survey involving 133 Malaysian construction professionals. The most influential predictors are identified, and four dimensions of these predictors are uncovered, including organizational commitment/technology orientation, supporting technological attributes, personal perception/performance expectancy, and government support. This paper fills the knowledge gap and sheds light on the factors influencing technology adoption in a developing country to improve construction safety.
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Xinyao He, Min Xu, Caiyun Cui, Bo Xia, Yongjian Ke, Martin Skitmore, Yong Liu
Summary: The public strongly opposes potentially hazardous facilities like nuclear power plants and waste-to-energy incineration due to their negative effects on the environment and health, making it difficult to determine their locations. Understanding public awareness and acceptance of such facilities is crucial for the sustainable development of the hazardous facilities industry. This study evaluates the social acceptance of waste-to-energy incineration plants in developed regions of China using a questionnaire survey based on the 'social license to operate' framework. The results show that the social license to operate of waste-to-energy incineration plants is relatively low and varies between different cities. Enhancing the social license to operate through the accumulation of social capital can help gain public acceptance for waste-to-energy projects.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Construction & Building Technology
Sainan Lyu, Carol K. H. Hon, Albert P. C. Chan, Xiaoyan Jiang, Martin Skitmore
Summary: This study aims to improve safety communication for ethnic minority workers by identifying and analyzing the critical factors involved. A mixed research design was used, combining a literature review, interviews, and a questionnaire survey. The findings identified 18 critical safety communication factors, categorized into worker-related, manager-related, and organization-related factors. These findings can be used as a reference for other countries employing ethnic minority workers.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2023)
Article
Environmental Studies
Min Xu, Yong Liu, Caiyun Cui, Bo Xia, Yongjian Ke, Martin Skitmore
Summary: NIMBY facilities play a significant role in the sustainable development of countries, and their successful introduction and operation are increasingly influenced by local communities. Two mainstream research approaches, public acceptance (PA) and social license to operate (SLO), have been proposed to enhance this. This study introduces the emerging SLO framework and discusses its applicability to NIMBY facilities in China based on a questionnaire survey. The findings enrich the existing literature on social acceptance assessment and management of industry-community relationships in the provision of NIMBY facilities.
Review
Development Studies
Hongyang Li, Tingting Jiang, Tongyuan Wu, Martin Skitmore, Nima Talebian
Summary: The outbreak of COVID-19 has led to changes in research focus, including residential energy use and energy dependency. A bibliometric analysis of 497 articles using VOSviewer identified four keywords: building occupants, coronavirus, sustainability, and monitoring and management. There has been a significant increase in residential energy consumption due to increased in-home activity, with variations in growth rate across neighborhoods, times of day, and energy usage. Recent studies have focused on the impact of lockdowns, new cases, and social distancing on residential energy consumption. Policy implications are provided for maintaining normal operation of residential energy systems during public health emergencies.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2023)
Article
Management
Alan Patching, Martin Skitmore, Rosemarie Rusch, Danielle Lester
Summary: The increased interest in BIM and related technologies highlights the need for enhanced education in integrated construction disciplines. This case study developed a novel university degree course that combines BIM, IPD, and Lean concepts, incorporating important soft skills. The course was successful, with all 53 graduates becoming employed as BIM professionals within two months of graduation.
INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT
(2023)
Article
Construction & Building Technology
Rebeca Lambers, Fiona Lamari, Martin Skitmore, Darmicka Rajendra
Summary: This study proposes a new method for identifying the most recurrent defects in residential construction work and their correlated causes, with the aim of improving practical management of defect risks. The method involves a literature review, analysis of archival data, and a questionnaire survey to rank the key defects and determine their causes.
CONSTRUCTION INNOVATION-ENGLAND
(2023)
Article
Construction & Building Technology
Xue Xiao, Martin Skitmore, Weixin Yao, Yousuf Ali
Summary: In this study, Modal Linear Regression (MODLR) is combined with Case-based reasoning (CBR) for early-stage construction cost estimation. Compared with conventional CBR models using genetic algorithm (GA) and ordinary least squares (OLS), results show that MODLR-CBR has significantly less variance in attribute weight, demonstrating its superior knowledge stability in handling changes in the case-base. This study not only enhances the robustness of CBR models, but also prepares construction cost practitioners for the increasing volume of cost data. The findings can further contribute to the area of multidimensional optimization in CBR.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Business
Mohd Azrai Azman, Nor Nazihah Chuweni, Faridah Muhamad Halil, Ku Mohammad Asyraf Ku Azir, Boon L. Lee, Farah Nazira Juhari, Martin Skitmore
Summary: This study uses a sample of 55 publicly listed construction Malaysian firms (2009-2022) to examine the impact of institutional regulations on construction productivity. It finds that the institutional regulation framework influences the total factor productivity (TFP) of construction firms, with property rights and the rule of law and budget balance and change in wages having a positive impact on TFP. The study concludes that institutional regulation plays a vital role in determining long-term construction firm productivity and should be taken into account by policymakers.
CONSTRUCTION MANAGEMENT AND ECONOMICS
(2023)
Article
Management
Rebeca Lambers, Fiona Cheung, Martin Skitmore
Summary: This study examines the defect management strategies of small and medium residential building enterprises (SMEs) in Queensland, Australia. A defects causation topology is combined with survey results from 427 construction trade respondents and validated by a focus group of experienced building practitioners. The findings highlight the importance of communication and information sharing about defects, as well as the resistance of SMEs to new trends and innovative defect management strategies.
INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT
(2023)
Article
Geosciences, Multidisciplinary
Huige Xing, Ting Que, Yuxin Wu, Shiyu Hu, Haibo Li, Hongyang Li, Martin Skitmore, Nima Talebian
Summary: Giving full play to the public's initiative is crucial for sustainable disaster reduction under a government-led top-down approach. This study uses the Theory of Planned Behavior (TPB) to analyze the factors influencing public intention to participate in geohazard mitigation activities. The results reveal that attitudes, subjective norms, perceived behavioral control, and participatory cognition significantly predict public intention to participate, while disaster experience has a negative association. Such findings contribute to improving geohazard risk management and achieving sustainable disaster reduction.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
