Zhou Huang
Datos Biográficos
| ID | 3635875 |
|---|---|
| NOMBRE | Zhou Huang |
| NOMBRES | Zhou |
| APELLIDO | Huang |
| FIRMA | HUANG Z |
| AFILIACIONES | Peking University |
| ORCID | 0000-0002-1255-1913 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 23 |
| TOTAL DE CITAS | 25 |
| TOTAL COMO AUTOR | 23 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2017 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 3 |
High-resolution assessment of embodied carbon emissions in the urban built environment
GWRBoost
Spatial processes are fundamental to understanding complex patterns and dynamics across diverse systems but remain challenging to model due to the competing demands of predictive accuracy and interpretability. Traditional spatial regression techniques such as geographically weighted regression (GWR) provide interpretable, location-specific coefficients yet systematically underfit complex, high-dimensional, and nonlinear spatial relationships prev…
Urban environment intensifies energy consumption sensitivity through the urban heat island effect
Spatially-optimized greenspace for more effective urban heat mitigation
Traffic prediction and road space optimization for the integration of dockless bike-sharing and subway
Background environment mitigate heat islands from inadequate urban green coverage while amplifying socioeconomic thermal inequities
Arrhythmic events pertinent with antidepressants
Citalopram and escitalopram [classified as selective serotonin reuptake inhibitors (SSRIs)] exhibited the strongest correlations with arrhythmic occurrences. Quetiapine [classified as a second-generation antipsychotic (SGA)] demonstrated higher risk and worse prognosis on QT prolongation/TdP and ventricular arrhythmic events. Venlafaxine and duloxetine [classified as serotonin-norepinephrine reuptake inhibitors (SNRIs)] did not show any PV of any…
Mediating roles of tinnitus and sleep disturbance in the effects of military noise on cognition
Military noise is associated with tinnitus, sleep disturbance, and cognitive impairment. Critically, it may affect cognition through simple mediation by sleep disturbance and chain mediation from tinnitus to sleep disturbance
Advancing population-targeted urban sensing
Impact of urban vitality on carbon emission—an analysis of 222 Chinese cities based on the spatial Durbin model
Urban development is undergoing rapid growth, and the increasingly prominent environmental protection challenge underscores the crucial need to balance urban vitality development with carbon emissions for sustainable goals. how urban vitality affect carbon emissions? By collecting and analyzing data from 222 prefecture-level cities, utilizing long-time series data from 2011 to 2019, and employing Spatial Durbin Method (SDM) to study. The study ex…
Inferring “high-frequent” mixed urban functions from telecom traffic
Precise distinction of mixed functions on urban land is essential for urban studies and planning, while existing methods are limited by high sampling bias, low observation frequency, and lack of semantic information in common data sources. In this paper, we introduce a new proxy for human behavior, the telecom traffic data as a remedy to the above limitations, and present an analytical framework which utilizes anonymized and aggregated telecom tr…
Quantifying the environmental characteristics influencing the attractiveness of commercial agglomerations with big geo-data
Understanding the attractiveness of commercial agglomerations contributes to urban planning. Existing studies focus less on commercial agglomerations, and most directly use environmental supply factors to characterize attractiveness. This study measures attractiveness from the perspective of human demand. Specifically, we build a novel bipartite graph based on big geo-data of human mobility, using node centralities (degree, betweenness, and pager…
Spatiotemporal analysis of CO2 emissions and emission reduction potential of Beijing buses using smart card data
High-resolution spatial assessment of the zero energy potential of buildings with photovoltaic systems at the city level
Integration of dockless bike-sharing and metro
The spatially varying effects of built environment characteristics on the integrated usage of dockless bike-sharing and public transport
High‐resolution quantification of building stock using multi‐source remote sensing imagery and deep learning
In recent decades, urbanization has led to an increase in building material stock. The high‐resolution quantification of building stock is essential to understand the spatial concentration of materials, urban mining potential, and sustainable urban development. Current approaches rely excessively on statistics or survey data, both of which are unavailable for most cities, particularly in underdeveloped areas. This study proposes an end‐to‐end dee…
Flow trace
Uncovering inconspicuous places using social media check-ins and street view images
Discovering Correlations between the Covid-19 Epidemic Spread and Climate
The outbreak of Corona Virus Disease 2019 (COVID-19) has affected the lives of people all over the world. It is particularly urgent and important to analyze the epidemic spreading law and support the implementation of epidemic prevention measures. It is found that there is a moderate to high correlations between the number of newly diagnosed cases per day and temperature and relative humidity in countries with more than 10,000 confirmed cases wor…
Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks
Inferring the unknown properties of a place relies on both its observed attributes and the characteristics of the places to which it is connected. Because place characteristics are unstructured and the metrics for place connections can be diverse, it is challenging to incorporate them in a spatial prediction task where the results could be affected by how the neighborhoods are delineated and where the true relevance among places is hard to identi…
Migration patterns in China extracted from mobile positioning data
Monitoring and assessing “ghost cities” in Northeast China from the view of nighttime light remote sensing data
Monitoring and assessing “ghost cities” in Northeast China from the view of nighttime light remote sensing data
Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks
Inferring the unknown properties of a place relies on both its observed attributes and the characteristics of the places to which it is connected. Because place characteristics are unstructured and the metrics for place connections can be diverse, it is challenging to incorporate them in a spatial prediction task where the results could be affected by how the neighborhoods are delineated and where the true relevance among places is hard to identi…
Migration patterns in China extracted from mobile positioning data
Monitoring and assessing “ghost cities” in Northeast China from the view of nighttime light remote sensing data
Migration patterns in China extracted from mobile positioning data
Uncovering inconspicuous places using social media check-ins and street view images
Discovering Correlations between the Covid-19 Epidemic Spread and Climate
The outbreak of Corona Virus Disease 2019 (COVID-19) has affected the lives of people all over the world. It is particularly urgent and important to analyze the epidemic spreading law and support the implementation of epidemic prevention measures. It is found that there is a moderate to high correlations between the number of newly diagnosed cases per day and temperature and relative humidity in countries with more than 10,000 confirmed cases wor…
Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks
Inferring the unknown properties of a place relies on both its observed attributes and the characteristics of the places to which it is connected. Because place characteristics are unstructured and the metrics for place connections can be diverse, it is challenging to incorporate them in a spatial prediction task where the results could be affected by how the neighborhoods are delineated and where the true relevance among places is hard to identi…
Flow trace
Quantifying the environmental characteristics influencing the attractiveness of commercial agglomerations with big geo-data
Understanding the attractiveness of commercial agglomerations contributes to urban planning. Existing studies focus less on commercial agglomerations, and most directly use environmental supply factors to characterize attractiveness. This study measures attractiveness from the perspective of human demand. Specifically, we build a novel bipartite graph based on big geo-data of human mobility, using node centralities (degree, betweenness, and pager…
Spatiotemporal analysis of CO2 emissions and emission reduction potential of Beijing buses using smart card data
High-resolution spatial assessment of the zero energy potential of buildings with photovoltaic systems at the city level
Integration of dockless bike-sharing and metro
The spatially varying effects of built environment characteristics on the integrated usage of dockless bike-sharing and public transport
High‐resolution quantification of building stock using multi‐source remote sensing imagery and deep learning
In recent decades, urbanization has led to an increase in building material stock. The high‐resolution quantification of building stock is essential to understand the spatial concentration of materials, urban mining potential, and sustainable urban development. Current approaches rely excessively on statistics or survey data, both of which are unavailable for most cities, particularly in underdeveloped areas. This study proposes an end‐to‐end dee…
Impact of urban vitality on carbon emission—an analysis of 222 Chinese cities based on the spatial Durbin model
Urban development is undergoing rapid growth, and the increasingly prominent environmental protection challenge underscores the crucial need to balance urban vitality development with carbon emissions for sustainable goals. how urban vitality affect carbon emissions? By collecting and analyzing data from 222 prefecture-level cities, utilizing long-time series data from 2011 to 2019, and employing Spatial Durbin Method (SDM) to study. The study ex…
Inferring “high-frequent” mixed urban functions from telecom traffic
Precise distinction of mixed functions on urban land is essential for urban studies and planning, while existing methods are limited by high sampling bias, low observation frequency, and lack of semantic information in common data sources. In this paper, we introduce a new proxy for human behavior, the telecom traffic data as a remedy to the above limitations, and present an analytical framework which utilizes anonymized and aggregated telecom tr…
Spatially-optimized greenspace for more effective urban heat mitigation
Traffic prediction and road space optimization for the integration of dockless bike-sharing and subway
Background environment mitigate heat islands from inadequate urban green coverage while amplifying socioeconomic thermal inequities
Arrhythmic events pertinent with antidepressants
Citalopram and escitalopram [classified as selective serotonin reuptake inhibitors (SSRIs)] exhibited the strongest correlations with arrhythmic occurrences. Quetiapine [classified as a second-generation antipsychotic (SGA)] demonstrated higher risk and worse prognosis on QT prolongation/TdP and ventricular arrhythmic events. Venlafaxine and duloxetine [classified as serotonin-norepinephrine reuptake inhibitors (SNRIs)] did not show any PV of any…
Mediating roles of tinnitus and sleep disturbance in the effects of military noise on cognition
Military noise is associated with tinnitus, sleep disturbance, and cognitive impairment. Critically, it may affect cognition through simple mediation by sleep disturbance and chain mediation from tinnitus to sleep disturbance
Advancing population-targeted urban sensing
High-resolution assessment of embodied carbon emissions in the urban built environment
GWRBoost
Spatial processes are fundamental to understanding complex patterns and dynamics across diverse systems but remain challenging to model due to the competing demands of predictive accuracy and interpretability. Traditional spatial regression techniques such as geographically weighted regression (GWR) provide interpretable, location-specific coefficients yet systematically underfit complex, high-dimensional, and nonlinear spatial relationships prev…
Urban environment intensifies energy consumption sensitivity through the urban heat island effect
Geography (14 obras) · Computer Science (12 obras) · Human Mobility and Location-Based Analysis (10 obras) · Urban Transport and Accessibility (9 obras) · Engineering (8 obras) · Environmental Science (7 obras) · Mathematics (6 obras) · Transport engineering (6 obras) · Beijing (5 obras) · Civil engineering (4 obras)