Article
Immunology
Venkata Raghava Mohan, Manikandan Srinivasan, Bireshwar Sinha, Ankita Shrivastava, Suman Kanungo, Kulandaipalayam Natarajan Sindhu, Karthikeyan Ramanujam, Santhosh Kumar Ganesan, Arun S. Karthikeyan, Senthil Kumar Jaganathan, Annai Gunasekaran, Alok Arya, Ashish Bavdekar, Temsunaro Rongsen-Chandola, Shanta Dutta, Jacob John, Gagandeep Kang
Summary: This analysis evaluated spatial clustering of typhoid and modeled incidence rates at 4 sites in India, identifying hotspots in Vellore and Kolkata. Despite efforts to improve water and sanitation, environmental factors continue to influence typhoid incidence, highlighting the potential need for vaccination alongside ongoing improvements in water and sanitation.
JOURNAL OF INFECTIOUS DISEASES
(2021)
Article
Environmental Studies
Mateusz Tomal, Marco Helbich
Summary: A new spatial autoregressive geographically weighted quantile regression method was proposed in this study to address the shortcomings of standard hedonic regression models. Comparing with mean and quantile hedonic regressions, the results showed that the proposed method outperforms other models in terms of fitting accuracy, especially at the tails of the dependent variable distribution. Policy recommendations for the development of private residential rental markets were provided based on the findings, which incorporate spatial effects and price segment requirements.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2023)
Article
Physics, Multidisciplinary
Shi-Jie Gao, Chang-Lin Mei, Qiu-Xia Xu, Zhi Zhang
Summary: Multiscale estimation for geographically weighted regression (GWR) and related models has been studied extensively for their superior performance in improving coefficient estimators and revealing spatial scale. This paper proposes a non-iterative multiscale estimation method and its simplified scenario for spatial autoregressive geographically weighted regression (SARGWR) models. The proposed methods outperform existing iterative approaches in terms of computational efficiency and accuracy of coefficient estimators.
Article
Computer Science, Information Systems
Zengzheng Wang, Yangyang Zhao, Fuhao Zhang
Summary: This paper proposes a regionally geographically weighted regression (RGWR) method, which improves the accuracy of GWR estimation by introducing zoning dummy variables and optimizing spatial weights, especially for research objects in social and economic fields with spatial discrete heterogeneity characteristics.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Geography
Olivia J. Horsefield, Carly Lightowlers, Mark A. Green
Summary: Studies have found a link between proximity to alcohol outlets and violent crime, but the strength of this association varies spatially and the characteristics of the outlets and sales volume have not been thoroughly explored. This study used police and alcohol outlet data in England to examine the effect of alcohol availability and sales volume on violent crime, taking spatial variance into account. The findings highlight the spatially varying associations between different types of alcohol outlets and violence, helping authorities determine appropriate measures to reduce violence in areas with high alcohol availability.
Article
Economics
Abel Kebede Reda, Lori Tavasszy, Girma Gebresenbet, David Ljungberg
Summary: This paper investigates the effect of spatial and locational characteristics on freight attraction models. The authors estimated econometric models of attraction and the amount of freight attracted using establishment-level data from Addis Ababa City, Ethiopia. They incorporated spatial techniques, including SEM, SAR, GWR, MGWR, and the combination GWR-SAR/MGWR-SAR, to address spatial dependency, spatial heterogeneity, and nonlinear specifications. The empirical results show that firms in the manufacturing, wholesale, and retail sectors located on wider streets tend to receive more freight attraction. The models also confirm that FA and FTA are the results of two different processes. Overall, the use of spatial regression techniques improves the accuracy of both FA and FTA models.
RESEARCH IN TRANSPORTATION ECONOMICS
(2023)
Article
Construction & Building Technology
Hanghun Jo, Heungsoon Kim
Summary: The recent increase in global energy consumption has accelerated global warming. Developed countries are aiming to reduce energy consumption in cities and promote eco-friendly policies. This study found that population and household characteristics, outdoor temperature, green and water areas, building area according to usage, and construction age significantly affect electrical energy consumption in urban buildings. The influences of these factors also vary by region.
Article
Environmental Sciences
Quanwen Liu, Sanmang Wu, Yalin Lei, Shantong Li, Li Li
Summary: The study reveals that CEs exhibit spatial agglomeration features both globally and locally, indicating spatial association between neighboring cities. Furthermore, POP, PCGDP, EI, and HDD have significant spatial correlations with CEs, with the effect sizes in the order of PCGDP > POP > EI > HDD. The impacts of these influencing factors on CEs vary across cities, showing obvious spatial heterogeneity.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Saiping Xu, Qianjun Zhao, Kai Yin, Guojin He, Zhaoming Zhang, Guizhou Wang, Meiping Wen, Ning Zhang
Summary: This paper presents a multi-factor geographically weighted machine learning algorithm to downscale 30m LST data retrieved from Landsat 8 images to 10m LST data, outperforming classic algorithms.
Article
Geography
Katherine Ballard, Christopher Bone
Summary: Understanding environmental variables responsible for the spatial distribution of Lyme disease is crucial for predicting disease incidence. Specific land cover types play a significant role in predicting disease locations, but these relationships can vary within each region. It is important to consider the larger geographic context influencing the presence and spread of the disease when implementing Lyme disease mitigation efforts.
Article
Environmental Sciences
Wanchao Bian, Hao Hou, Jiang Chen, Bin Zhou, Jianhong Xia, Shanjuan Xie, Ting Liu
Summary: This study developed an exposure-sensitivity-adaptability vulnerability assessment framework to analyze the risk of foodborne disease outbreaks in different climatic and socioeconomic environments in Zhejiang Province, China. The results showed that temperature, precipitation, road density, construction area proportions, and GDP were positively correlated with foodborne diseases. The strength and significance of these relationships varied locally, and the risk of foodborne diseases caused by Vibrio parahaemolyticus was higher in urban areas than rural areas. Distance from the coastline was negatively correlated with predicted regional risks.
Article
Geography
Alexis Comber, Martin Callaghan, Paul Harris, Binbin Lu, Nick Malleson, Chris Brunsdon
Summary: This paper introduces a new package called gwverse, which aims to provide more functionality and flexibility in spatial analysis, particularly in GWR and GW models. The package meets the needs of different users through its modular structure and customized function approach, and provides several demonstrator modules for GWR analysis.
GEOGRAPHICAL ANALYSIS
(2022)
Article
Computer Science, Information Systems
Zhen Dai, Sensen Wu, Yuanyuan Wang, Hongye Zhou, Feng Zhang, Bo Huang, Zhenhong Du
Summary: In this study, a geographically convolutional neural network weighted regression (GCNNWR) model was proposed to estimate spatial non-stationarity. The model improved estimation accuracy and predictive power by introducing a global spatial proximity grid and a spatially weighted convolutional neural network, and maintained better stability and accuracy when the observation distribution was uneven.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2022)
Article
Environmental Sciences
Liton Chakraborty, Horatiu Rus, Daniel Henstra, Jason Thistlethwaite, Andrea Minano, Daniel Scott
Summary: This study explores the impact of racial, ethnic, and socio-demographic disparities and spatial heterogeneity on flood-related environmental injustices in Canada. By integrating flood maps and socioeconomic data, the study investigates whether vulnerable groups are disproportionately exposed to different types of flooding. The findings reveal that certain vulnerable groups, such as Indigenous peoples and economically insecure residents, are at a higher risk of flooding. These spatial and social disparities have important policy implications for emergency management and disaster risk reduction.
ENVIRONMENTAL RESEARCH
(2022)
Article
Economics
Bin Xu, Boqiang Lin
Summary: This paper investigates the CO2 emissions of China's heavy industry sector and finds that factors such as urbanization, economic growth, and energy efficiency have varying impacts on CO2 emissions. The study suggests that local governments should develop emerging economies based on specific conditions to reduce CO2 emissions.
Article
Construction & Building Technology
Xincheng He, Weijun Gao, Rui Wang, Diyang Yan
Summary: This study focuses on the outdoor thermal comfort in factory areas and investigates the effect of different built environments on workers' thermal sensations. Through field measurements and questionnaire surveys, the research establishes the outdoor thermal benchmark suitable for factory areas and identifies the factors influencing thermal comfort. The findings could provide theoretical guidelines for the design of factory areas.
BUILDING AND ENVIRONMENT
(2023)
Article
Energy & Fuels
Fanyue Qian, Weijun Gao, Dan Yu, Yongwen Yang, Yingjun Ruan
Summary: This study quantifies the environmental advantages of hydrogen energy through a carbon tax and examines its potential application in a regional distributed energy system. The research shows that hydrogen energy technology can gain economic advantages in certain regions and is more suitable for places like museums and shopping malls when carbon emissions are reduced.
Article
Energy & Fuels
Fanyue Qian, Weijun Gao, Dan Yu, Yongwen Yang, Yingjun Ruan
Summary: This study proposes highlighting the environmental advantages of renewable power combined with a carbon tax at the national level to expand the application space of hydrogen storage technology. The study compares the economy and technical characteristics of hydrogen storage technology and conventional energy-storage technology, and analyzes the contribution of hydrogen storage technology to the change in renewable power share. The results provide a theoretical reference for the application of hydrogen storage technology in the high proportion of renewable energy consumption and data reference for large-scale construction of renewable energy in regions where solar and wind energy resources are not excellent.
ENERGY EXPLORATION & EXPLOITATION
(2023)
Article
Green & Sustainable Science & Technology
Weilun Chen, Weijun Gao, Xindong Wei, Yue Gong
Summary: This study proposes a comprehensive economic analysis based on the cooperative theory to explore the economic potential of hybrid rainwater-greywater systems (HRGs). A case study was conducted on an HRG on campus in Japan to evaluate its water-saving performance and analyze its economic feasibility using a life cycle cost model. The study also explores the cooperative feasibility and driving factors between the HRG and main water plants based on mutual benefits. The results show that HRGs have more substantial economic benefits in cooperation than in non-cooperation, and government subsidies for HRGs facilitate the success of cooperation. This study provides new ideas for improving the economic feasibility of HRGs and policy orientations for promoting decentralized water reuse systems to the government.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Qingsong Ma, Cui Xu, Xiaofei Chen, Weijun Gao, Xindong Wei
Summary: This study investigates the thermal performance and energy-saving potential of the sunspace in an old apartment building in Qingdao through experiments and simulations. It finds that user behavior significantly affects the thermal performance of the sunspace in winter. A non-ventilated sunspace leads to higher average temperature in the bedroom, but also more heat loss compared to a bedroom without a sunspace when the sunspace is naturally ventilated.
Article
Construction & Building Technology
Qinfeng Zhao, Weijun Gao, Yuan Su, Tian Wang
Summary: China has set targets to reach carbon peak by 2030 and achieve carbon neutrality by 2060. It is crucial to reduce carbon emissions from the construction industry (CECI) as it contributes 30% of the total emissions. This study focuses on the building materialization process at the city-scale and establishes a framework to analyze carbon emissions trajectory. The results show that direct CECI accounts for 3.3% of total CECI, while a significant portion of emissions come from indirect CECI, such as secondary energy and embodied carbon. The study also identifies construction scale and demand structure as key drivers of CECI growth.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Energy & Fuels
Wenya Xu, Yanxue Li, Guanjie He, Yang Xu, Weijun Gao
Summary: This study proposes a model-based reinforcement learning approach to optimize the operation of zero-energy houses, considering PV generation consumption and energy costs. The proposed RL agents achieve fast convergence and demonstrate cost-effectiveness in scheduling operations of the hybrid energy system. The DDPG algorithm performs the best, outperforming rule-based operation by 7.2% in energy cost.
Article
Environmental Sciences
Chunyan Shi, Xinyue Miao, Tongyu Xu, Weijun Gao, Gen Liu, Siwen Li, Yingzi Lin, Xindong Wei, Hui Liu
Summary: With the strong shocks caused by extreme weather and global climate change, the sponge city construction strategies (SCCSs) have gradually attracted increased attention. Rainwater trading (RWT) plays a key role in promoting the efficient allocation and use of rainwater resources in sponge cities.
Article
Construction & Building Technology
Dong Sun, Xiang Ji, Weijun Gao, Fujian Zhou, Yiqing Yu, Yumeng Meng, Meiqi Yang, Junjie Lin, Mei Lyu
Summary: The perception of green quantity in urban streets has a clear impact on the public's mental health. The Green View Index (GVI), as an important urban spatial indicator, reflects the quantity of green spaces in streets and helps to reveal the level of street vegetation from pedestrians' perspective. The study in Qingdao Coastal Streets used various methods to obtain GVI and Visual Comfort (VICO) and discussed their correlation and influence mechanisms. The findings showed that the overall greening landscape of Qingdao Coastal Streets was of high quality, with the historic district being the most outstanding. The study also revealed a strong positive correlation between GVI and VICO.
Article
Construction & Building Technology
Zhen Yang, Weijun Gao, Chune Wang, Jiawei Li
Summary: With the rapid advancement of new generation information technologies, digitalization has become a crucial tool for restructuring factor resources, reshaping the economic landscape, and altering competitiveness. However, there is limited literature on the impact and mechanism of digitalization on environmental pollution management. This study measures the level of digital development in each Chinese province and explores the impact of digitalization on haze pollution and its mechanisms.
Article
Construction & Building Technology
Xudong Xie, Qianqian Yang, Weijun Gao, Shudi Wang
Summary: In winter, rural people in coastal areas of northern China burn coal for cooking and heating, causing serious indoor air pollution. By surveying and monitoring 60 buildings with coal heating and conducting a transient analysis on four typical rural buildings with different locations of heating sources, the study analyzed the influence of heating source location on indoor air quality in rural buildings.
Article
Energy & Fuels
Lifei Song, Weijun Gao, Liting Zhang, Qifen Li, Hongbo Ren
Summary: With the goal of achieving carbon peak in 2030 and carbon neutrality in 2060, the transportation sector in China will face continuous pressure on carbon emissions, making the application of hydrogen fuel cell vehicles crucial. The production of green hydrogen, particularly through photovoltaic hydrogen production, is of practical significance for hydrogen refueling stations. A study on a hydrogen refueling station in Shanghai showed that a photovoltaic hydrogen refueling station can have good economic benefits with a hydrogen price of 6.23 USD or higher, and it can also significantly reduce carbon emissions compared to conventional hydrogen refueling stations, providing environmental benefits.
Article
Construction & Building Technology
Qinfeng Zhao, Weijun Gao, Yuan Su, Tian Wang, Jinming Wang
Summary: Japan has committed to carbon neutrality by 2050, with the construction industry identified as a key sector. Building abandonment and vacancy pose urgent challenges, while the carbon emissions associated with building demolition and the recycling of Construction and Demolition (C&D) waste have received limited attention. This study uses modeling to assess the carbon emissions of C&D waste disposal and predicts the contribution of recycling to emission reduction in different scenarios. The findings highlight the importance of optimizing building stock and extending building lifespan for achieving carbon neutrality.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Xue Fang, Xinyu Shi, Tyson Keen Phillips, Peng Du, Weijun Gao
Summary: Currently, developing countries are focusing on improving the quality of the built environment through large-scale infrastructure construction to promote rapid urbanization. The study reveals an upward trend in urban sustainability in the Yangtze River Delta from 2010 to 2018, but 19 cities still have unsustainable urbanization processes. The southern region performs better in urban sustainability compared to the northern region, coastal cities outperform inland cities, and regional peripheral cities outperform inner cities.
Article
Social Sciences, Interdisciplinary
Congbao Xu, Jing Wang, Yanxue Li, Weijun Gao
Summary: This study evaluated and optimized the coastal cycling environment in Qingdao city, China. A questionnaire survey was carried out to assess the importance and satisfaction of cyclists regarding various elements related to the cycling environment. Importance Performance Analysis (IPA) was used to prioritize the coastal road environmental elements that needed improvement. The results indicated that there were significant differences in lighting conditions along the road section and most factors fell within the high importance-low satisfaction range, highlighting the importance of addressing cycling safety during the design stage.
