A5059658413- Social Capital and Networks
- Experimental Behavioral Economics Studies
- Culture, Economy, and Development Studies
- Impact of Light on Environment and Health
- Tropical and Extratropical Cyclones Research
- Coastal and Marine Dynamics
- Disaster Management and Resilience
- Urban Transport and Accessibility
- Urban Green Space and Health
- Data-Driven Disease Surveillance
- Flood Risk Assessment and Management
- Geographic Information Systems Studies
- Land Use and Ecosystem Services
- Physical Activity and Health
- Islamic Finance and Banking Studies
- Coral and Marine Ecosystems Studies
- Spatial and Panel Data Analysis
- Ocean Waves and Remote Sensing
- Environmental Justice and Health Disparities
- Air Quality Monitoring and Forecasting
- Remote Sensing and LiDAR Applications
- Urban Design and Spatial Analysis
- Species Distribution and Climate Change
- Infrastructure Resilience and Vulnerability Analysis
- Human Mobility and Location-Based Analysis
Jiangsu Vocational Institute of Commerce
2024
Florida International University
2023-2024
University of California, Berkeley
2024
University of South Florida
2021-2023
University of Hawaiʻi at Mānoa
2019-2022
Arizona State University
2017
Concordia University
2015
University of British Columbia
2014
National Bureau of Economic Research
2014
The emergence and rapid advancement of large language models (LLMs), represented by OpenAI’s Generative Pre-trained Transformer (GPT), has brought up new opportunities across various industries disciplines. These cutting-edge technologies are transforming the way we interact with information, communicate, solve complex problems. We conducted a pilot study exploring making maps ChatGPT, popular artificial intelligence (AI) chatbot. Specifically, tested designing thematic using given or public...
In late 2023, the image-reading capability added to a Generative Pre-trained Transformer (GPT) framework provided opportunity potentially revolutionize way we view and understand geographic maps, core component of cartography, geography, spatial data science. this study, explore reading analyzing maps with latest version GPT-4-vision-preview (GPT-4V), fully evaluate its advantages disadvantages in comparison human eye-based visual inspections. We found that GPT-4V is able properly retrieve...
Climate change and natural hazards pose great threats to road transport systems which are 'lifelines' of human society. However, there is generally a lack empirical data approaches for assessing resilience networks in real hazard events. This study introduces an approach evaluate network using crowdsourced traffic Google Maps. Based on the conceptualization Hansen accessibility index, measured from accumulated reduction over time during hazard. The utility this demonstrated case Cleveland...
The intensity of extreme weather events has been increasing, posing a unique threat to society and highlighting the importance our electrical power system, key component in infrastructure. In severe events, quickly identifying outage impact zones affected communities is crucial for informed disaster response. However, lack household-level data impedes timely precise assessments. To address these challenges, we introduced an analytical workflow using NASA's Black Marble daily nighttime light...
Flood hazard is one of America's most frequent and expensive natural hazards causes enormous economic losses in the United States every year. disproportionately affect marginalized socioeconomically disadvantaged populations. This disproportionate flood exposure constitutes a form environmental injustice. Few studies have undertaken large-scale assessment long-term change exposure. To fill this gap, study utilized land use zone data from 2001 to 2019 at 5-year interval analyze spatiotemporal...
The declining pattern of population density from city centres to the outskirts has been widely observed in American cities. Such a reflects trade-off between housing price/commuting cost and employment. However, most previous studies urban functions are based on Euclidean distance, do not consider commuting This study provides an empirical evaluation classic 382 metropolitan statistical areas (MSA) USA using travel times as independent variable. major findings are: (1) negative exponential...
Quantitative assessment of community resilience is a challenge due to the lack empirical data about human dynamics in disasters. To fill gap, this study explores utility nighttime lights (NTL) remote sensing images assessing recovery and natural Specifically, utilized newly-released NASA moonlight-adjusted SNPP-VIIRS daily analyze spatiotemporal changes NTL radiance Hurricane Sandy (2012). Based on conceptual framework trajectory, disturbance during hurricane were calculated at different...
This paper estimates the global prevalence of social trust and generosity among immigrants.We combine individual national level data from immigrants native-born respondents in more than 130 countries, using seven waves Gallup World Poll (2005Poll ( -2012)).We find that migrants tend to make assessments mainly reflect conditions country where they now live, but also reveal a significant influence their countries origin.The latter effect is one-third as important local conditions.We altruistic...
Information diffusion on social media during disasters is an important indicator of community resilience. As a common natural hazard in the U.S., winter storms often cause adverse socio-economic impacts human society. Understanding people's perception and behaviours to mitigate negative promote This study applies text mining spatial analysis methods Twitter data Winter Storm Diego 2018 December. Different from previous studies focusing original tweets, this utilized retweets model...
Sea-level rise (SLR) is a critical consequence of climate change, posing significant threats to coastal regions worldwide. Accurate and efficient assessment potential inundation areas crucial for effective planning adaptation strategies. This study aimed explore the utility free open-source software geospatial (FOSS4G) tools mapping SLR inundation, providing cost-effective solutions that are accessible researchers policymakers. We employed combination data, including high-resolution...
Rainbows contribute to human wellbeing by providing an inspiring connection nature. Because the rainbow is atmospheric optical phenomenon that results from refraction of sunlight rainwater droplets, changes in precipitation and cloud cover due anthropogenic climate forcing will alter distribution. Yet, we lack a basic understanding current spatial distribution rainbows how change might this pattern. To assess affect viewing opportunities, developed global database crowd-sourced photographed...
Ambient air pollution has been a worldwide concern with devastating impact on the health of populations, while increasing burden public systems. Assessing adverse effects is vital for forming disease control policies. This study investigates excess risk 6 pollutants 21 groups (observed in outpatient visits) through Poisson regression modeling. Daily quality data and 1.6 million visit records from Shenzhen, China are used study. The visits classified into according to International...
Purpose Utilising Welk’s Youth Physical Activity Promotion (YPAP) model as a foundational framework, this study investigates the intricate interplay of social support, physical activity (PA), and self-efficacy in relation to fitness within context Chinese culture. The primary objective is identify nuanced dynamics among self-efficacy, PA, enhance adolescent well-being fitness. Methodology employed convenience sampling method, engaging 123 adolescents aged 18–21, which 67 were females...
In the current era of intensified global migration and economic change, simultaneous movement people, money, services, information alter socioeconomic demographic makeup as well financial dynamics countries. Building on our previous work ethnic banking, this article examines size, nature, capacity new minority depository institutions (MDIs) in United States. It identifies reasons for establishment these MDIs their distribution relation to immigration dynamics, observes role social capital...
Many spatial analysis methods suffer from the scaling issue identified as part of Modifiable Areal Unit Problem (MAUP). This article introduces Pyramid Model (PM), a hierarchical data framework integrating space and scale in 3D environment to support multi-scale analysis. The utility PM is tested examining quadrat density kernel density, which are commonly used measures point patterns. two metrics computed simulated set with varying parameters (i.e. quadrats bandwidths) represented PM....
Sea level rise (SLR) is a critical consequence of climate change, posing significant threats to coastal regions worldwide. Accurate and efficient assessment potential inundation areas crucial for effective planning adaptation strategies. This study aims explore the utility free open source software geospatial (FOSS4G) tools mapping SLR inundation, providing cost-effective solutions that are accessible researchers policymakers. We employed combination data, including high-resolution elevation...
Abstract tRNA-derived fragment (tRDF) is novel small non-coding RNA that presences in different types of cancer tissue. More evidence has shown tRDFs are associated with progression through cell proliferation. In this study, we took advantage public database and sequencing to investigate the diagnosis prognosis potential as a biomarker for non-small lung cancer. We collected 1028 patient samples including adenocarcinoma from TCGA, GEO, plasma. gathered all fragments upstream sequences...