Jianwei Huang
Biographic Data
| ID | 3635430 |
|---|---|
| NAME | Jianwei Huang |
| GIVEN NAMES | Jianwei |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG J |
| AFFILIATIONS | Chinese University of Hong Kong |
| ORCID | 0000-0002-2230-3446 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 23 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
A network-based approach to understand the risk of mobility-related social exclusion in spatiotemporal activities
This study proposes a novel network-based approach to understand the risk of mobility-related social exclusion (MRSE) in people's daily activities. Compared to existing approaches focusing on physical mobility and individual travel network, this study develops an integrated analysis method that considers both population-level mobility network and spatiotemporal dynamics of individual activity patterns. This method considers strong connections, fr…
Abusive leadership and employee’s interpersonal interactions
Abusive supervision, a form of leader deviant behavior, is a destructive leadership style. It negatively impacts both its targets and the overall organization. This study, rooted in the conservation of resources theory, expands our understanding by the effects of abusive supervision on employee’s interpersonal interactions. We conducted a two-wave survey using convenience sampling of employees from different companies in China, employing establis…
A Spatio-Temporal Evolutionary Embedding Approach for Geographic Knowledge Graph Question Answering
In recent years, geographic knowledge graphs (GeoKGs) have shown great promise in representing spatio-temporal and event-driven knowledge. However, existing knowledge graph embedding approaches mainly focus on structural patterns and often overlook the dynamic evolution of entities in both time and space, which limits their effectiveness in downstream reasoning tasks. To address this, we propose a spatio-temporal evolutionary knowledge embedding …
Inter-relationships among individual views of Covid-19 control measures across multi-cultural contexts
A Spatial Network-Based Assessment of Individual Exposure to Covid-19
This study seeks to examine the possible impacts of sociodemographic factors, individual mobility patterns, and daily activities on individual exposure to COVID-19 risk when assessed by different risk measures. Taking Hong Kong as the study area, we first model the risk of COVID-19 using a density-based approach and a network-based approach and reveal the differences in the spatial distributions of COVID-19 transmission risk they obtained. Then, …
Associations between Covid-19 risk, multiple environmental exposures, and housing conditions
How People’s Covid-19 Induced-Worries and Multiple Environmental Exposures Are Associated with Their Depression, Anxiety, and Stress during the Pandemic
This study investigates how people's perceived COVID-19 risk, worries about financial hardship, job loss, and family conflicts, and exposures to greenspace, PM 2.5 , and noise (in people's residential neighborhoods and daily activity locations) are related to their depression, anxiety, and stress during the COVID-19 pandemic. Using a two-day activity-travel diary, a questionnaire, and real-time air pollutant and noise sensors, a survey was conduc…
Perceiving noise in daily life
Examining the Influence of Housing Conditions and Daily Greenspace Exposure on People’s Perceived Covid-19 Risk and Distress
Many people have worried about COVID-19 infection, job loss, income reduction, and family conflict during the COVID-19 pandemic. Some social groups may be particularly vulnerable due to their residential neighborhoods and daily activities. On the other hand, people's daily exposure to greenspace offers promising pathways for reducing these worries associated with COVID-19. Using data collected with a questionnaire and a two-day activity diary fro…
Uncertainties in the Assessment of Covid-19 Risk
Based on different conceptualizations and measures of individual-level environmental exposure, this study examines how the uncertain geographic context problem (UGCoP) and the neighborhood effect averaging problem (NEAP) might affect the assessment of COVID-19 risk. Using the COVID-19 data on an open-access government Web site and the individual-level activity data of sixty confirmed COVID-19 cases (infected persons) in Hong Kong, we first repres…
How Culture and Sociopolitical Tensions Might Influence People’s Acceptance of Covid-19 Control Measures That Use Individual-Level Georeferenced Data
This study extends an earlier study in the United States and South Korea on people’s privacy concerns for and acceptance of COVID-19 control measures that use individual-level georeferenced data (IGD). Using a new dataset collected via an online survey in Hong Kong, we first examine the influence of culture and recent sociopolitical tensions on people’s privacy concerns for and acceptance of three types of COVID-19 control measures that use IGD: …
Evaluating the Inequality of Medical Service Accessibility Using Smart Card Data
The measurement of medical service accessibility is typically based on driving or Euclidean distance. However, in most non-emergency cases, public transport is the travel mode used by the public to access medical services. Yet, there has been little evaluation of the public transport system-based inequality of medical service accessibility. This work uses massive real smart card data (SCD) and an improved potential model to estimate the public tr…
The superspreading places of Covid-19 and the associated built-environment and socio-demographic features
Spatial-interaction network analysis of built environmental influence on daily public transport demand
Investigating the Relationship between the Built Environment and Relative Risk of Covid-19 in Hong Kong
Understanding the relationship between the built environment and the risk of COVID-19 transmission is essential to respond to the pandemic. This study explores the relationship between the built environment and COVID-19 risk using the confirmed cases data collected in Hong Kong. Using the information on the residential buildings and places visited for each case from the dataset, we assess the risk of COVID-19 and explore their geographic patterns…
Landscape change and its influence on human activities in Lhasa basin of central Tibetan plateau since the last deglacial
Uncertainties in the Assessment of Covid-19 Risk
Based on different conceptualizations and measures of individual-level environmental exposure, this study examines how the uncertain geographic context problem (UGCoP) and the neighborhood effect averaging problem (NEAP) might affect the assessment of COVID-19 risk. Using the COVID-19 data on an open-access government Web site and the individual-level activity data of sixty confirmed COVID-19 cases (infected persons) in Hong Kong, we first repres…
Perceiving noise in daily life
The superspreading places of Covid-19 and the associated built-environment and socio-demographic features
Spatial-interaction network analysis of built environmental influence on daily public transport demand
Inter-relationships among individual views of Covid-19 control measures across multi-cultural contexts
A Spatial Network-Based Assessment of Individual Exposure to Covid-19
This study seeks to examine the possible impacts of sociodemographic factors, individual mobility patterns, and daily activities on individual exposure to COVID-19 risk when assessed by different risk measures. Taking Hong Kong as the study area, we first model the risk of COVID-19 using a density-based approach and a network-based approach and reveal the differences in the spatial distributions of COVID-19 transmission risk they obtained. Then, …
Investigating the Relationship between the Built Environment and Relative Risk of Covid-19 in Hong Kong
Understanding the relationship between the built environment and the risk of COVID-19 transmission is essential to respond to the pandemic. This study explores the relationship between the built environment and COVID-19 risk using the confirmed cases data collected in Hong Kong. Using the information on the residential buildings and places visited for each case from the dataset, we assess the risk of COVID-19 and explore their geographic patterns…
Landscape change and its influence on human activities in Lhasa basin of central Tibetan plateau since the last deglacial
How Culture and Sociopolitical Tensions Might Influence People’s Acceptance of Covid-19 Control Measures That Use Individual-Level Georeferenced Data
This study extends an earlier study in the United States and South Korea on people’s privacy concerns for and acceptance of COVID-19 control measures that use individual-level georeferenced data (IGD). Using a new dataset collected via an online survey in Hong Kong, we first examine the influence of culture and recent sociopolitical tensions on people’s privacy concerns for and acceptance of three types of COVID-19 control measures that use IGD: …
Evaluating the Inequality of Medical Service Accessibility Using Smart Card Data
The measurement of medical service accessibility is typically based on driving or Euclidean distance. However, in most non-emergency cases, public transport is the travel mode used by the public to access medical services. Yet, there has been little evaluation of the public transport system-based inequality of medical service accessibility. This work uses massive real smart card data (SCD) and an improved potential model to estimate the public tr…
The superspreading places of Covid-19 and the associated built-environment and socio-demographic features
Spatial-interaction network analysis of built environmental influence on daily public transport demand
Examining the Influence of Housing Conditions and Daily Greenspace Exposure on People’s Perceived Covid-19 Risk and Distress
Many people have worried about COVID-19 infection, job loss, income reduction, and family conflict during the COVID-19 pandemic. Some social groups may be particularly vulnerable due to their residential neighborhoods and daily activities. On the other hand, people's daily exposure to greenspace offers promising pathways for reducing these worries associated with COVID-19. Using data collected with a questionnaire and a two-day activity diary fro…
Uncertainties in the Assessment of Covid-19 Risk
Based on different conceptualizations and measures of individual-level environmental exposure, this study examines how the uncertain geographic context problem (UGCoP) and the neighborhood effect averaging problem (NEAP) might affect the assessment of COVID-19 risk. Using the COVID-19 data on an open-access government Web site and the individual-level activity data of sixty confirmed COVID-19 cases (infected persons) in Hong Kong, we first repres…
Associations between Covid-19 risk, multiple environmental exposures, and housing conditions
How People’s Covid-19 Induced-Worries and Multiple Environmental Exposures Are Associated with Their Depression, Anxiety, and Stress during the Pandemic
This study investigates how people's perceived COVID-19 risk, worries about financial hardship, job loss, and family conflicts, and exposures to greenspace, PM 2.5 , and noise (in people's residential neighborhoods and daily activity locations) are related to their depression, anxiety, and stress during the COVID-19 pandemic. Using a two-day activity-travel diary, a questionnaire, and real-time air pollutant and noise sensors, a survey was conduc…
Perceiving noise in daily life
Inter-relationships among individual views of Covid-19 control measures across multi-cultural contexts
A Spatial Network-Based Assessment of Individual Exposure to Covid-19
This study seeks to examine the possible impacts of sociodemographic factors, individual mobility patterns, and daily activities on individual exposure to COVID-19 risk when assessed by different risk measures. Taking Hong Kong as the study area, we first model the risk of COVID-19 using a density-based approach and a network-based approach and reveal the differences in the spatial distributions of COVID-19 transmission risk they obtained. Then, …
A Spatio-Temporal Evolutionary Embedding Approach for Geographic Knowledge Graph Question Answering
In recent years, geographic knowledge graphs (GeoKGs) have shown great promise in representing spatio-temporal and event-driven knowledge. However, existing knowledge graph embedding approaches mainly focus on structural patterns and often overlook the dynamic evolution of entities in both time and space, which limits their effectiveness in downstream reasoning tasks. To address this, we propose a spatio-temporal evolutionary knowledge embedding …
A network-based approach to understand the risk of mobility-related social exclusion in spatiotemporal activities
This study proposes a novel network-based approach to understand the risk of mobility-related social exclusion (MRSE) in people's daily activities. Compared to existing approaches focusing on physical mobility and individual travel network, this study develops an integrated analysis method that considers both population-level mobility network and spatiotemporal dynamics of individual activity patterns. This method considers strong connections, fr…
Abusive leadership and employee’s interpersonal interactions
Abusive supervision, a form of leader deviant behavior, is a destructive leadership style. It negatively impacts both its targets and the overall organization. This study, rooted in the conservation of resources theory, expands our understanding by the effects of abusive supervision on employee’s interpersonal interactions. We conducted a two-wave survey using convenience sampling of employees from different companies in China, employing establis…
Geography (10 works) · Medicine (10 works) · Computer Science (8 works) · COVID-19 epidemiological studies (7 works) · Psychology (7 works) · Environmental health (6 works) · Sociology (5 works) · Coronavirus disease 2019 (COVID-19 (4 works) · Urban Transport and Accessibility (4 works) · Mathematics (3 works)