A5088393129- Human Mobility and Location-Based Analysis
- Land Use and Ecosystem Services
- Urban Transport and Accessibility
- Geographic Information Systems Studies
- Regional Economics and Spatial Analysis
- Spatial and Panel Data Analysis
- Data-Driven Disease Surveillance
- Complex Network Analysis Techniques
- Data Management and Algorithms
- Urban Green Space and Health
- Crime Patterns and Interventions
- Urban Design and Spatial Analysis
- Disaster Management and Resilience
- Urban Heat Island Mitigation
- Impact of Light on Environment and Health
- Transportation Planning and Optimization
- Smart Cities and Technologies
- Energy, Environment, Economic Growth
- Regional Economic and Spatial Analysis
- Traffic Prediction and Management Techniques
- Public Relations and Crisis Communication
- Flood Risk Assessment and Management
- COVID-19 epidemiological studies
- Housing Market and Economics
- China's Socioeconomic Reforms and Governance
Texas A&M University
2020-2025
Mitchell Institute
2021-2025
Shanghai Jiao Tong University
2024
Wuhan University of Science and Technology
2024
Anhui University of Traditional Chinese Medicine
2024
Hangzhou Dianzi University
2023-2024
Texas Department of Transportation
2023-2024
Guizhou University
2024
Texas College
2024
Jiangxi Normal University
2021-2023
Social media analytics has become prominent in natural disaster management. In spite of a large variety metadata fields social data, four dimensions (i.e. space, time, content and network) have been given particular attention for mining useful information to gain situational awareness improve response. this article, we review how existing studies analyze these dimensions, summarize common techniques then suggest some methods accordingly. We propose schema categorize the gathered articles...
Urban digital twins (UDTs) have been identified as a potential technology to achieve transformative positive urban change through landscape architecture and planning. However, how this new will influence community resilience adaptation planning is currently unclear. This article: (1) offers scoping review of existing studies constructing UDTs, (2) identifies challenges opportunities UDT technologies for planning, (3) develops conceptual framework UDTs infrastructure resilience. article...
Problem, research strategy, and findings The integration of a artificial intelligence (AI) into urban planning presents potential ethical challenges, including concerns about bias, transparency, accountability, privacy, misinformation. As planners rely more on AI for decision making, the these systems to perpetuate biases, obscure decision-making processes, infringe privacy becomes pronounced, potentially undermining public trust excluding marginalized communities. We reviewed existing...
We propose TrajGraph, a new visual analytics method, for studying urban mobility patterns by integrating graph modeling and analysis with taxi trajectory data. A special is created to store manifest real traffic information recorded trajectories over city streets. It conveys transportation dynamics which can be discovered applying algorithms. To support interactive, multiscale analytics, partitioning algorithm applied create region-level graphs have smaller size than the original...
Abstract According to UN forecasts, global population will increase over 8 billion by 2025, with much of this anticipated growth expected in urban areas. In China, the scale urbanization has, and continues be, unprecedented terms magnitude rate change. Since late 1970s, percentage Chinese living areas increased from ~18% 50%. To quantify these patterns spatially we use time-invariant or temporally-explicit data, including census data for 1990, 2000, 2010 an ensemble prediction model....
When conditions are unfavorable, virtually all living cells have the capability of entering a resting state termed quiescence or G0. Many aspects program as well mechanisms governing entry and exit from remain poorly understood. Previous studies using budding yeast Saccharomyces cerevisiae shown that upon into stationary phase, quiescent cell population emerges is heavier in density than nonquiescent cells. Here, we show total intracellular trehalose glycogen content exhibits substantial...
Massive social media data produced from microblog platforms provide a new source for studying human dynamics at an unprecedented scale. Meanwhile, population bias in geotagged Twitter users is widely recognized. Understanding the demographic and socioeconomic biases of critical making reliable inferences on attitudes behaviors population. However, existing global models cannot capture regional variations biases. To bridge gap, we modeled relationships between different...
With the proliferation of social media, information generated and disseminated from these outlets has become an important part our everyday lives. For example, this type great potential for effectively distributing political messages, hazard alerts, or messages other functions. In work, we report a case study 2012 Beijing Rainstorm to investigate how emergency was timely distributed using media during events. We present classification location model text streams This classifies based on...
The unprecedented urbanization and the staggering development of modern information communication technologies (ICT) demonstrate that concept Smart City is attractive achievable. Beyond scope traditional city services applications, Cities provide urban planners policy makers proactive timely to obtain a dynamic comprehensive understanding about rhythm our cities. sustainability necessitates capability computations data analysis at edge networks, especially for mission critical applications...