A5015834454- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
- Land Use and Ecosystem Services
- Urban, Neighborhood, and Segregation Studies
- Health disparities and outcomes
- Migration and Labor Dynamics
- COVID-19 epidemiological studies
- Data-Driven Disease Surveillance
- Migration, Aging, and Tourism Studies
- COVID-19 Pandemic Impacts
- Urban Green Space and Health
- Climate Change, Adaptation, Migration
- Mental Health via Writing
- Misinformation and Its Impacts
- Migration, Ethnicity, and Economy
- Climate Change and Health Impacts
- Photonic Crystals and Applications
- Disaster Management and Resilience
- Vaccine Coverage and Hesitancy
- Transportation Planning and Optimization
- Flood Risk Assessment and Management
- COVID-19 Digital Contact Tracing
- Air Quality and Health Impacts
- Housing Market and Economics
- Urban Design and Spatial Analysis
University of Southern California
2023-2025
RMIT University
2023-2024
Environmental Earth Sciences
2018-2024
The University of Queensland
2018-2024
Queensland Department of Environment and Science
2024
Beijing Forestry University
2022-2024
State Key Laboratory of Tree Genetics and Breeding
2024
Southern California University for Professional Studies
2023-2024
Haikou City People's Hospital
2024
Tokyo University of Information Sciences
2022-2023
The COVID-19 pandemic poses unprecedented challenges around the world. Many studies have applied mobility data to explore spatiotemporal trends over time, investigate associations with other variables, and predict or simulate spread of COVID-19. Our objective was provide a comprehensive overview human open guide researchers policymakers in conducting data-driven evaluations decision-making for infectious disease outbreaks. We summarized usage by reviewing recent publications on from...
The COVID-19 pandemic has imposed a large, initially uncontrollable, public health crisis both in the United States and across world, with experts looking to vaccines as ultimate mechanism of defense. development deployment have been rapidly advancing via global efforts. Hence, it is crucial for governments, officials, policy makers understand attitudes opinions towards vaccines, such that effective interventions educational campaigns can be designed promote vaccine acceptance.
This paper brings a comprehensive systematic review of the application geospatial artificial intelligence (GeoAI) in quantitative human geography studies, including subdomains cultural, economic, political, historical, urban, population, social, health, rural, regional, tourism, behavioural, environmental and transport geography. In this extensive review, we obtain 14,537 papers from Web Science relevant fields select 1516 that identify as studies using GeoAI via scanning conducted by...
Urban parks are essential components of urban ecosystems, providing recreation and relaxation places to residents. Measuring the spatial accessibility serves as an initial step in planning developing development strategies improve social environmental justice. This study aims evaluate measures by comparing three geographic information systems (GIS)-based approaches, accounting for network complexity, transport modes, distance thresholds, destination choices. Taking Ipswich City (Australia)...
The policy induced decline of human mobility has been recognised as effective in controlling the spread COVID-19, especially initial stage outbreak, although relationship among mobility, implementation, and virus remains contentious. Coupling data confirmed COVID-19 cases with Google Australia, we present a state-level empirical study to: (1) inspect temporal variation change adherent to social restriction policies; (2) examine extent which different types are associated eight Australian...
Social media platforms allow users worldwide to create and share information, forging vast sensing networks that information on certain topics be collected, stored, mined, analyzed in a rapid manner. During the COVID-19 pandemic, extensive social mining efforts have been undertaken tackle challenges from various perspectives. This review summarizes progress of data studies contexts categorizes them into six major domains, including early warning detection, human mobility monitoring,...
The study of land use change in urban and regional systems has been dramatically transformed the last four decades by emergence application cellular automata (CA) models. CA models simulate changes which evolve from bottom-up. Despite notable achievements this field, there remain significant gaps between processes simulated actual dynamics evolving systems. This article identifies contemporary issues faced developing draws on evidence to map out interrelated thematic areas that require...
For many years, urban sciences relied heavily on traditional, authoritative data sources. However, a paradigm shift has occurred recently with the advent of citizen-driven contribution. This evolution in acquisition for science is attributable to advancements positioning and navigation technologies, widespread use digital devices, rise Web 2.0, enhanced broadband communications, refined management techniques. The significance crowdsourced geospatial realm now widely acknowledged. A diverse...
Little is known about COVID-19 vaccination intentions among refugee communities in the United States. The objective of this study was to measure a sample refugees States and reasons for their vaccine acceptance or hesitancy.From December 2020 through January 2021, we emailed text messaged anonymous online surveys 12 bilingual leaders Afghan, Bhutanese, Somali, South Sudanese, Burmese We asked community complete survey share link with members who met inclusion criteria (arrived as refugees,...
Abstract Assessing vulnerability to natural hazards is at the heart of hazard risk reduction. However, many countries such as Australia lack measuring systems quantity for evaluation. Drawing on 41 indicators from multiple data sources finest spatial unit Australian census, we re-forged Cutter’s classic framework by involving ‘4D’ quantification built environment (diversity, design, density and distance), constructed first nationwide fine-grained measures urban rural locales, respectively....
Social media platforms have been increasingly used to express suicidal thoughts, feelings, and acts, raising public concerns over time. A large body of literature has explored the suicide risks identified by people's expressions on social media. However, there is not enough evidence conclude that provides surveillance for without aligning detected with actual behaviors. Corroborating this alignment a crucial foundation prevention intervention through estimating predicting in countries no...
The p38α-MK2 signaling axis plays an important role in the inflammatory response of cells. Here, we carried out a series optimizations on CDD-450, aiming to enhance inhibition complex and improve pharmacokinetic properties. First, magic F strategy was utilized obtain compound 21, which displayed 60-fold increase tumor necrosis factor α 600-fold interleukin-6 inhibition. Molecular dynamics simulations revealed insights into binding mode fluorinated molecules. Subsequently, introducing methyl...
This systematic review explores the utilization of crowdsourcing for geoinformation in enhancing awareness and mitigating terrorism-related disasters. Out 519 studies identified database search, 108 were deemed eligible analysis. We focused on articles employing various forms platforms, such as Twitter (now known X), Facebook, Telegram, across three distinct phases disasters: monitoring detection, onset, post-incident Notably, we placed particular emphasis integration Machine Learning (ML)...
Abstract The Spatial Data Lab (SDL) project is a collaborative initiative by the Center for Geographic Analysis at Harvard University, KNIME, Future Lab, China Institute, and George Mason University. Co-sponsored NSF IUCRC Spatiotemporal Innovation Center, SDL aims to advance applied research in spatiotemporal studies across various domains such as business, environment, health, mobility, more. focuses on developing an open-source infrastructure data linkage, analysis, collaboration. Key...
Abstract The concept of Spatially Integrated Social Sciences (SISS) emerged in the 1990s, introducing a spatial dimension to social science research through Geographic Information Science (GIS)-based tools. This movement, known as "spatial turn," integrates space and place into analysis phenomena human behaviour. Although SISS has not yet fully permeated mainstream science, its application continues expand, offering broader understanding processes by examining them within temporal contexts....