A5028938006- Human Mobility and Location-Based Analysis
- COVID-19 epidemiological studies
- Urban Transport and Accessibility
- Data-Driven Disease Surveillance
- Remote Sensing and Land Use
- COVID-19 Pandemic Impacts
- Transportation Planning and Optimization
- Land Use and Ecosystem Services
- Diverse Aspects of Tourism Research
- Urban Green Space and Health
- Air Quality and Health Impacts
- Infection Control and Ventilation
- Climate Change and Health Impacts
- Urban Heat Island Mitigation
- Higher Education and Teaching Methods
- Spatial and Panel Data Analysis
- Impact of Light on Environment and Health
- Educational Technology and Assessment
- Complex Systems and Time Series Analysis
- Energy, Environment, Economic Growth
- COVID-19 impact on air quality
- Cultural Heritage Management and Preservation
- Customer Service Quality and Loyalty
- Cytomegalovirus and herpesvirus research
- Geographic Information Systems Studies
Beijing Union University
2008-2025
Hengshui University
2009-2022
Qingdao Agricultural University
2010
Institute of Geographic Sciences and Natural Resources Research
2004-2006
Chinese Academy of Sciences
2005-2006
Abstract Background Train travel is a common mode of public transport across the globe; however, risk coronavirus disease 2019 (COVID-19) transmission among individual train passengers remains unclear. Methods We quantified COVID-19 on high-speed using data from 2334 index patients and 72 093 close contacts who had co-travel times 0–8 hours 19 December through 6 March 2020 in China. analyzed spatial temporal distribution to elucidate associations between infection, distance, time. Results...
Linear cultural heritage (LCH) is a precious treasure of human beings, but its spatial distribution and development modes in the context tourism value are not clear. This study constructs resource (R) –natural environment (N) –industrial economy (I) evaluation system through Delphi method, analytical hierarchy process entropy method to examine from perspective whole heritage. verified case World Heritage Site, 1800 km-long Beijing–Hangzhou Grand Canal China. Combined with situation 22 cities...
Air pollution seriously threats to human health. Understanding the health effects of air is great importance for developing countermeasures. However, little known about real-time impacts on heath in a comprehensive way nations, like China. To fill this research gap, Chinese urbanites' were sensed from more than 210.82 million Weibo (Chinese Twitter) data 2017. The association between and sensing quantified through generalized additive models, based which sensitivities adaptions 70 China's...
• With growing concerns over serious ecological problems, a particular challenge is to reveal the complex mechanisms underlying rapid expansion of invasive species. Ageratina adenophora interest in addressing this question. We used geographic information systems and logistic regression identify environmental factors contributing presence A. adenophora. Join-count spatial statistics with reproduction mode examination were employed elucidate spatiotemporal dispersal mechanisms. Multiple have...
The rising temperature makes the weather becoming more extreme. Understanding how extreme hot temperature—heat wave events (HWEs)—are likely to alter individual heat exposure and sensitivity is crucial for developing climate change mitigation adaptation strategies. Despite importance, little known about real-time impacts of HWEs on daily life in nations, like China. To fill this gap, we adopt over 1544 thousand Weibo (Chinese Twitter) social media data, coupled with meteorological conditions...
Based on two on-site questionnaire surveys in the Beijing-Hangzhou Grand Canal, this study identifies constructs of tourists' perception by exploratory factor analysis, and proposes a relationship model. Then complex relationships are explored structural equation modelling. The results suggest heritage attraction cultural experience positively affect attitude towards protection, while experience, service facilities market conditions preference tourism development. More importantly,...
Urban structure is a vital aspect that profoundly influences the livability and sustainability of cities. Although extensive explorations have conducted on urban from perspective human mobility, there remains gap in understanding travel networks (UTNs) spatial structures multi-activity perspective. In this study, we first inferred locations types daily activity for over four million Beijing residents through multi-source data fusion. Subsequently, constructed eight UTNs based multiple flows...
To map risk of exposure to severe acute respiratory syndrome (SARS) in an urban area and assess the ability traditional interventions control dispersion disease.Data on Beijing SARS epidemic were used spatial clusters identified contacts estimate transmission using a model with time-dependent rate.The estimated rate decreased dramatically from 20 30 April 2003. The total number cases was be 2521. Hierarchical clustering revealed that risk-exposures widespread, but clustered pattern is...
The aboveground biomass (AGB) is closely linked to the carbon cycle in grassland ecosystems worldwide. Accurately quantifying AGB variations thus essential for assessing sequestration and its feedback on climate change. Although many studies have investigated AGB, they are limited local areas few research efforts been attempted estimate at large scales with constraint of situ quadrat harvested AGB. In this study, we used multi-source satellite remote sensing data from 2000 2021 abundant...
Birth defects, which are the major cause of infant mortality and a leading disability, refer to "Any anomaly, functional or structural, that presents in infancy later life is caused by events preceding birth, whether inherited, acquired (ICBDMS)". However, risk factors associated with heredity and/or environment very difficult filter out accurately. This study selected an area highest ratio neural-tube birth defect (NTBD) occurrences worldwide identify scale environmental for defects using...
The use of social media data provided powerful support to reveal the spatiotemporal characteristics and mechanisms human activity, as it integrated rich textual semantic information. However, previous research has not fully utilized its information, due technical algorithmic limitations. efficiency deep mining resources was also low. In this research, a multi-classification text model, based on natural language processing technology Bidirectional Encoder Representations from Transformers...
Improper urban spatial structure can lead to problems such as traffic congestion, long commuting times, and diseconomies of scale. Evaluating the efficiency is an important means enhance sustainable development cities. The fractal method has been widely used in identification evaluation due its sufficient characterization complexity. However, structures expanded from monofractal multifractal structures, while remains limited single-dimensional evaluations single fractals, seriously affecting...
Mapping population distribution is an important field of geographical and related research because the frequent need to combine spatial data representing socio‐demographic information across various incompatible units. However, may become very complex difficult when a in multiple places estimated by factors. Previous efforts have contributed selection appropriate independent variables creation different models. level accuracy obtainable with these studies limited heterogeneity within...
Severe Acute Respiratory Syndrome (SARS) was first reported in November 2002 China, and spreads to about 30 countries over the next few months. While characteristics of epidemic transmission are individually assessed, there also important implicit associations between them.
Introduction COVID-19, being a new type of infectious disease, holds significant implications for scientific prevention and control to understand its spatiotemporal transmission process. This study examines the diverse spatial patterns COVID-19 within Wuhan by analyzing early case data alongside urban infrastructure information. Methods Through co-location analysis, we assess both local global risks linked epidemic. In addition, use Geodetector, identifying facilities displaying unique risk...
Abstract The intensification of global heat wave events is seriously affecting residents' emotional health. Based on social media big data, our research explored the spatial pattern sentiments during waves (SDHW). Besides, their association with urban functional areas (UFAs) was analyzed using Apriori algorithm rule mining. It found that SDHW in Beijing were characterized by obvious clustering, hot spots predominately dispersed and far suburbs, cold mainly clustered near suburbs. As for...