Chao Fan
Datos Biográficos
| ID | 4416703 |
|---|---|
| NOMBRE | Chao Fan |
| NOMBRES | Chao |
| APELLIDO | Fan |
| FIRMA | FAN C |
| AFILIACIONES | Clemson University |
| ORCID | 0000-0003-2216-7576 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 42 |
| TOTAL DE CITAS | 15 |
| TOTAL COMO AUTOR | 42 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2013 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 3 |
Human mobility dynamics for cost-effective flood emergency resource allocation
Quantifying the impact of heatwaves on urban nighttime economic activities using daily nighttime lights data in China
Identifying local hotspots of compounded physical and social impacts from Hurricane Helene-induced flood and landslides
Effective post-disaster response is often constrained by limited resources, making it crucial to prioritize areas with greatest impact. Existing methods typically rely on isolated indicators, such as building damage, road disruptions, or social vulnerability. However, considering these indicators in isolation can misrepresent the full extent of disaster impacts on communities, which experience these challenges simultaneously. To address this rese…
Retracted
A multilevel regression model to explain disparities in residential cooling infrastructure across heat-threatened regions
Enhancing situation awareness for disaster policymaking via LLM-generated narratives
Effective disaster policymaking requires accurate situation awareness. Yet, current practices often rely on sparse and fragmented quantitative proxy indicators. This reliance frequently leads to contextual blindness and a loss of the tacit knowledge typically conveyed through narratives. While narrative strategies are known to influence situation awareness, systematically evaluating the impacts of different types of narratives has historically be…
Temporal compounding increases economic impacts of floods in the southern U.S. cities
An inference approach for assessing place-based vulnerability to heat mortality
A global increase in the frequency, severity, and scale of extreme heat raises concerns about human vulnerability to climate change and associated mortality. Heat vulnerability and mortality have largely been studied separately, lacking an understanding of their causation. Here, we create a non-parametric generalized inference approach that links socioeconomic, environmental, and infrastructure factors articulated in vulnerability theory and heat…
Dynamics of collective information processing for risk encoding in social networks during crises
Coupling human responsive behaviors and infrastructure disparities to understand the long-term impacts of wildfires
Assessing household underestimation of hurricane food shortages via large language model agent simulation
Human mobility disproportionately extends PM2.5 emission exposure for low income populations
Sleep disturbances among older adults from the Russian Far East experiencing social loss
Our findings emphasize that social loss is a risk factor for sleep disturbances, while social interaction serves as a buffering factor for sleep disturbances in elderly females experiencing social loss. This suggests that providing targeted support for elderly individuals of different sexes who have experienced social loss may be an equitable and effective approach to improving sleep health among the elderly in the Russia Far East
Modeling stakeholder interactions for post-disaster electric power restoration
Effects of short videos on engaging citizens in disaster communications with the government on social media
Quantifying residential cooling poverty and its drivers in China (2001–2020)
Generating equitable urban human flows with a fairness-aware deep learning model
Neural embeddings of urban big data reveal spatial structures in cities
Over decades, many cities have been expanded and functionally diversified by population activities, socio-demographics and attributes of the built environment. Urban expansion and development have led to the emergence of spatial structures of cities. Uncovering cities’ spatial structures is critical to understanding various urban phenomena such as segregation, equity of access, and sustainability. In this study, we propose using a neural embeddin…
Mobility behaviors shift disparity in flood exposure in U.S. population groups
Inferring cascading effects of natural and built environments failures from social media videos in disasters
Stereotype reactance of employees with disabilities
Quantifying the Impact of Large Language Models on Collective Opinion Dynamics
Healthcare workers perceptions of patient safety culture in selected Ghanaian regional hospitals
This qualitative study presents a few areas for improvement in patient safety culture. Despite their positive attitudes and knowledge of patient safety, healthcare workers expressed concerns about the implementation of patient safety policies outlined by hospitals. Healthcare professionals perceived that curriculum training on patient safety during school education and the availability of dedicated officers for patient safety at their facilities …
Age disparities and socioeconomic factors for commuting distance in Beijing by explainable machine learning
Land Cover Impacts on Surface Temperatures
The urban heat island (UHI) effect is an important topic for many cities across the globe. Previous studies, however, have mostly focused on UHI changes along either the spatial or temporal dimension. A simultaneous evaluation of the spatial and temporal variations is essential for understanding the long-term impacts of land cover on the UHI. This study presents the first evaluation and application of a newly developed spatiotemporal weighted reg…
Age disparities and socioeconomic factors for commuting distance in Beijing by explainable machine learning
A Spatiotemporal Compactness Pattern Analysis of Congressional Districts to Assess Partisan Gerrymandering
Compactness of a congressional district is a traditional principle in adjudicating gerrymandering claims in political redistricting. During the last decade, many states have used compactness as an important criterion to constrain the presence of gerrymandering in the redistricting process. In this study, we conducted an array of spatiotemporal analyses aiming to evaluate the changes in compactness between the 112th and 113th Congressional distric…
Nmmi
Spatial pattern analysis plays an important role in geography for understanding geographical phenomena, identifying causes, and predicting future trends. Traditional pattern analysis tools assess cluster or dispersed patterns of geographical features based on the distribution of nonspatial attributes. These metrics ignore the shape of spatial objects—a critical consideration. The study of shape analysis, on the other hand, measures the compactnes…
Determinants of debunking information sharing behaviour in social media users
Purpose Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and in…
Socio-demographic inequalities in the impacts of extreme temperatures on population mobility
Quantifying residential cooling poverty and its drivers in China (2001–2020)
The Role of Local Influential Users in Spread of Situational Crisis Information
Extensive spread of situational information is important for communities in response to crises/disasters. Among various mechanisms affecting the spread of information on social media, influential users play a critical role in enhancing information spread. This study examines the attributes and activities of local influential users as well as their interactions with ordinary users on Twitter during 2017’s Hurricane Harvey. The results show that th…
Sustainability analysis of Seea indicators for non-renewable resources
A comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation
Nmmi
Spatial pattern analysis plays an important role in geography for understanding geographical phenomena, identifying causes, and predicting future trends. Traditional pattern analysis tools assess cluster or dispersed patterns of geographical features based on the distribution of nonspatial attributes. These metrics ignore the shape of spatial objects—a critical consideration. The study of shape analysis, on the other hand, measures the compactnes…
A Spatiotemporal Compactness Pattern Analysis of Congressional Districts to Assess Partisan Gerrymandering
Compactness of a congressional district is a traditional principle in adjudicating gerrymandering claims in political redistricting. During the last decade, many states have used compactness as an important criterion to constrain the presence of gerrymandering in the redistricting process. In this study, we conducted an array of spatiotemporal analyses aiming to evaluate the changes in compactness between the 112th and 113th Congressional distric…
What Causes the Mean Bias of the Likelihood Ratio Statistic with Many Variables
Survey data often contain many variables. Structural equation modeling (SEM) is commonly used in analyzing such data. However, conventional SEM methods are not crafted to handle data with a large number of variables (p). A large p can cause Tml, the most widely used likelihood ratio statistic, to depart drastically from the assumed chi-square distribution even with normally distributed data and a relatively large sample size N. A key element affe…
Crowd or Hubs
Spatial biases in crowdsourced data
The Role of Local Influential Users in Spread of Situational Crisis Information
Extensive spread of situational information is important for communities in response to crises/disasters. Among various mechanisms affecting the spread of information on social media, influential users play a critical role in enhancing information spread. This study examines the attributes and activities of local influential users as well as their interactions with ordinary users on Twitter during 2017’s Hurricane Harvey. The results show that th…
Vulnerable populations and social media use in disasters
Evaluating crisis perturbations on urban mobility using adaptive reinforcement learning
Understanding Social Biases Behind Location Names in Contextual Word Embedding Models
Embeddings of textual data containing location names (e.g., social media posts) have essential applications in various contexts such as marketing and disaster management. In these downstream implementations, social biases behind location names are highly prone to introduce unfair results through their embeddings; for example, emergent text messages with swapped location names might result in varied rescue responses. Hence, it is critical to addre…
Empirical Analysis of the Dynamics of the Covid-19 Epidemic in Urban Embedded Social Networks
Background: Due to the continual recurrence of COVID-19 in urban areas, it is important to know more about the evolution of the epidemic within this setting to mitigate the risk of the situation getting worse. As the virus spreads through human society, the social networks of confirmed cases can provide us with crucial new insights on this question. Methods: Based on the epidemiological reports of 235 COVID-19 cases in Nanjing, we constructed a s…
Data-driven contact network models of Covid-19 reveal trade-offs between costs and infections for optimal local containment policies
Land Cover Impacts on Surface Temperatures
The urban heat island (UHI) effect is an important topic for many cities across the globe. Previous studies, however, have mostly focused on UHI changes along either the spatial or temporal dimension. A simultaneous evaluation of the spatial and temporal variations is essential for understanding the long-term impacts of land cover on the UHI. This study presents the first evaluation and application of a newly developed spatiotemporal weighted reg…
Impacts of disaster exposure on climate adaptation injustice across U.S. cities
Effect of Membrane Pore Size on Membrane Fouling of Corundum Ceramic Membrane in MBR
Ceramic membrane has emerged as a promising material to address the membrane fouling issue in membrane bioreactors (MBR). In order to optimize the structural property of ceramic membrane, four corundum ceramic membranes with the mean pore size of 0.50, 0.63, 0.80, and 1.02 μm were prepared, which were designated as C5, C7, C13, and C20, respectively. Long-term MBR experiments showed that the C7 membrane with medium pore size experienced the lowes…
Determinants of debunking information sharing behaviour in social media users
Purpose Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and in…
Socio-demographic inequalities in the impacts of extreme temperatures on population mobility
Neural embeddings of urban big data reveal spatial structures in cities
Over decades, many cities have been expanded and functionally diversified by population activities, socio-demographics and attributes of the built environment. Urban expansion and development have led to the emergence of spatial structures of cities. Uncovering cities’ spatial structures is critical to understanding various urban phenomena such as segregation, equity of access, and sustainability. In this study, we propose using a neural embeddin…
Mobility behaviors shift disparity in flood exposure in U.S. population groups
Inferring cascading effects of natural and built environments failures from social media videos in disasters
Stereotype reactance of employees with disabilities
Quantifying the Impact of Large Language Models on Collective Opinion Dynamics
Healthcare workers perceptions of patient safety culture in selected Ghanaian regional hospitals
This qualitative study presents a few areas for improvement in patient safety culture. Despite their positive attitudes and knowledge of patient safety, healthcare workers expressed concerns about the implementation of patient safety policies outlined by hospitals. Healthcare professionals perceived that curriculum training on patient safety during school education and the availability of dedicated officers for patient safety at their facilities …
Age disparities and socioeconomic factors for commuting distance in Beijing by explainable machine learning
Computer Science (17 obras) · Geography (15 obras) · Disaster Management and Resilience (10 obras) · Sociology (10 obras) · Economics (9 obras) · Psychology (9 obras) · Business (8 obras) · Political science (8 obras) · Population (8 obras) · Artificial Intelligence (7 obras)