Shaoying Li
Biographic Data
| ID | 3635674 |
|---|---|
| NAME | Shaoying Li |
| GIVEN NAMES | Shaoying |
| FAMILY NAME | Li |
| SIGNATURE | LI S |
| AFFILIATIONS | Guangzhou University |
| ORCID | 0000-0002-4703-5660 |
| VERIFIED | Yes |
| TOTAL WORKS | 28 |
| TOTAL CITATIONS | 46 |
| AUTHOR COUNT | 28 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Uncovering the residential relocation during urban renewal with time-series big data and spatial interpretable machine learning
Impacts of three-dimensional canopy structure on urban waterlogging: Thresholds, interactions, and local effects
An investigative study on enhancing the competence of medical students via participation in extracurricular research activities
BACKGROUND: As medical education evolves from traditional knowledge dissemination to evidence-based practice, problem-solving, and lifelong learning, developing research literacy among students has become essential. This study investigates medical undergraduates’ research participation, challenges encountered, and attitudes toward research, aiming to inform curricular reforms that foster research-competent healthcare professionals. METHODS: A cro…
Understanding nighttime leisure activities in various urban leisure spaces: A multi-factor interaction perspective based on mobile signaling data
Nighttime leisure activities play a crucial role in enhancing the quality of life for urban residents. However, existing studies have rarely differentiated the diverse spatial contexts in which nighttime leisure-related activities occur, limiting understanding of their spatiotemporal patterns and underlying mechanisms. This study aims to fill this gap by integrating mobile phone signaling data with areas of interest (AOI) datasets to systematical…
Carbon reduction effects of bike-sharing and metro integration: Spatial patterns and disparities across trip purposes
Uncovering the spatial patterns and internal vitality heterogeneity of bedroom communities: Evidence from Guangzhou
Fine-Scale spatial simulation and interpretation of occupational population distributions using big data and machine learning
Why same datasets yield different environment–activity relationships? Hidden uncertainties in geospatial processing methods
Longitudinal relationships among anxiety and risk perception during the epidemic and post-epidemic anxiety in Shanghai, China: A memory reconstruction perspective
Exploring socio-spatial differentiation in bike-sharing: A daily activity space analysis of cyclists across different socioeconomic statuses
Mining individual daily commuting patterns of dockless bike-sharing users: A two-layer framework integrating spatiotemporal flow clustering and rule-based decision trees
Unveiling Disparities in Bicycling Mobility Patterns Across Socioeconomic Statuses: A Framework for Identifying User Profiles in Dockless Bike-Sharing Systems
Cycling, as a healthy and low-carbon nonmotorized form of mobility, plays a crucial role in promoting the sustainable development of urban transportation. Thus, fostering more equitable cycling for residents has become a critical topic in current transportation research. The relationship of individual socioeconomic status (SES) in cycling mobility patterns has not been sufficiently explored, however. To address this, we introduce a framework for …
Crafting a jogging-friendly city: Harnessing big data to evaluate the runnability of urban streets
A novel index for assessing the rural population hollowing at fine spatial resolutions based on Tencent social media big data: A case study in Guangdong Province, China
Spatial Non-Stationarity of Influencing Factors of China’s County Economic Development Base on a Multiscale Geographically Weighted Regression Model
The development of the county economy in China is a complicated process that is influenced by many factors in different ways. This study is based on multi-source big data, such as Tencent user density (TUD) data and point of interest (POI) data, to calculate the different influencing factors, and employed a multiscale geographically weighted regression (MGWR) model to explore their spatial non-stationarity impact on China’s county economic develo…
How Can Urban Built Environment (Be) Influence on-Road (Or) Carbon Emissions? A Road Segment Scale Quantification Based on Massive Vehicle Trajectory Big Data
Nonlinear and threshold effects of traffic condition and built environment on dockless bike sharing at street level
Understanding the modifiable areal unit problem in dockless bike sharing usage and exploring the interactive effects of built environment factors
Understanding the influence mechanisms of dockless bike-sharing usage is essential for land use planning and bike scheduling strategy implementation. Although various studies have been carried out to explore the impact of built environment (BE) factors on bike-sharing usage, few studies have examined the modifiable areal unit problem (MAUP). Moreover, previous studies mainly focused on the separate effect of each factor but neglected the interact…
Portraying Citizens’ Occupations and Assessing Urban Occupation Mixture with Mobile Phone Data: A Novel Spatiotemporal Analytical Framework
Mobile phone data is a typical type of big data with great potential to explore human mobility and individual portrait identification. Previous studies in population classifications with mobile phone data only focused on spatiotemporal mobility patterns and their clusters. In this study, a novel spatiotemporal analytical framework with an integration of spatial mobility patterns and non-spatial behavior, through smart phone APP (applications) usa…
How Is Urban Greenness Spatially Associated with Dockless Bike Sharing Usage on Weekdays, Weekends, and Holidays
Dockless bike sharing plays an important role in residents’ daily travel, traffic congestion, and air pollution. Recently, urban greenness has been proven to be associated with bike sharing usage around metro stations using a global model. However, their spatial associations and bike sharing usage on public holidays have seldom been explored in previous studies. In this study, urban greenness was obtained objectively using eye-level greenness wit…
Integrating the Eigendecomposition Approach and k-Means Clustering for Inferring Building Functions with Location-Based Social Media Data
Understanding the relationship between human activity patterns and urban spatial structure planning is one of the core research topics in urban planning. Since a building is the basic spatial unit of the urban spatial structure, identifying building function types, according to human activities, is essential but challenging. This study presented a novel approach that integrated the eigendecomposition method and k-means clustering for inferring bu…
Hand Hygiene Knowledge and Self-Reported Hand Washing Behaviors among Restaurant Kitchen Chefs in Jiangsu Province, China
Inadequate hand washing among chefs is a major contributor to outbreaks of foodborne illnesses originating in restaurants. Although many studies have evaluated hand hygiene knowledge (HHK) and self-reported hand washing behaviors (HWBs) in restaurant workers in different countries, little is known about HHK and HWBs in restaurant kitchen chefs, particularly in China. In this study, we interviewed 453 restaurant kitchen chefs in Jiangsu Province i…
Exploring spatiotemporal variation characteristics of exceedance air pollution risk using social media big data
Air pollution in the form of PM 2.5 decreases life expectancy considering its contribution to morbidity and mortality. Therefore, scientific and accurate PM 2.5 exposure risk assessment is essential. However, the considering daily/hourly mean PM 2.5 concentration and overlooking population mobility in exposure risk assessments result in underestimation of its adverse effects. Thus, using social media data and exceedance PM 2.5 concentration, two …
Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China
The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou
Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China
Nonlinear and threshold effects of traffic condition and built environment on dockless bike sharing at street level
The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou
A novel index for assessing the rural population hollowing at fine spatial resolutions based on Tencent social media big data: A case study in Guangdong Province, China
How Can Urban Built Environment (Be) Influence on-Road (Or) Carbon Emissions? A Road Segment Scale Quantification Based on Massive Vehicle Trajectory Big Data
Unveiling Disparities in Bicycling Mobility Patterns Across Socioeconomic Statuses: A Framework for Identifying User Profiles in Dockless Bike-Sharing Systems
Cycling, as a healthy and low-carbon nonmotorized form of mobility, plays a crucial role in promoting the sustainable development of urban transportation. Thus, fostering more equitable cycling for residents has become a critical topic in current transportation research. The relationship of individual socioeconomic status (SES) in cycling mobility patterns has not been sufficiently explored, however. To address this, we introduce a framework for …
Crafting a jogging-friendly city: Harnessing big data to evaluate the runnability of urban streets
A new landscape index for quantifying urban expansion using multi-temporal remotely sensed data
A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects
High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform
Exploring spatiotemporal variation characteristics of exceedance air pollution risk using social media big data
Air pollution in the form of PM 2.5 decreases life expectancy considering its contribution to morbidity and mortality. Therefore, scientific and accurate PM 2.5 exposure risk assessment is essential. However, the considering daily/hourly mean PM 2.5 concentration and overlooking population mobility in exposure risk assessments result in underestimation of its adverse effects. Thus, using social media data and exceedance PM 2.5 concentration, two …
Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China
The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou
Understanding the modifiable areal unit problem in dockless bike sharing usage and exploring the interactive effects of built environment factors
Understanding the influence mechanisms of dockless bike-sharing usage is essential for land use planning and bike scheduling strategy implementation. Although various studies have been carried out to explore the impact of built environment (BE) factors on bike-sharing usage, few studies have examined the modifiable areal unit problem (MAUP). Moreover, previous studies mainly focused on the separate effect of each factor but neglected the interact…
Portraying Citizens’ Occupations and Assessing Urban Occupation Mixture with Mobile Phone Data: A Novel Spatiotemporal Analytical Framework
Mobile phone data is a typical type of big data with great potential to explore human mobility and individual portrait identification. Previous studies in population classifications with mobile phone data only focused on spatiotemporal mobility patterns and their clusters. In this study, a novel spatiotemporal analytical framework with an integration of spatial mobility patterns and non-spatial behavior, through smart phone APP (applications) usa…
How Is Urban Greenness Spatially Associated with Dockless Bike Sharing Usage on Weekdays, Weekends, and Holidays
Dockless bike sharing plays an important role in residents’ daily travel, traffic congestion, and air pollution. Recently, urban greenness has been proven to be associated with bike sharing usage around metro stations using a global model. However, their spatial associations and bike sharing usage on public holidays have seldom been explored in previous studies. In this study, urban greenness was obtained objectively using eye-level greenness wit…
Integrating the Eigendecomposition Approach and k-Means Clustering for Inferring Building Functions with Location-Based Social Media Data
Understanding the relationship between human activity patterns and urban spatial structure planning is one of the core research topics in urban planning. Since a building is the basic spatial unit of the urban spatial structure, identifying building function types, according to human activities, is essential but challenging. This study presented a novel approach that integrated the eigendecomposition method and k-means clustering for inferring bu…
Hand Hygiene Knowledge and Self-Reported Hand Washing Behaviors among Restaurant Kitchen Chefs in Jiangsu Province, China
Inadequate hand washing among chefs is a major contributor to outbreaks of foodborne illnesses originating in restaurants. Although many studies have evaluated hand hygiene knowledge (HHK) and self-reported hand washing behaviors (HWBs) in restaurant workers in different countries, little is known about HHK and HWBs in restaurant kitchen chefs, particularly in China. In this study, we interviewed 453 restaurant kitchen chefs in Jiangsu Province i…
Nonlinear and threshold effects of traffic condition and built environment on dockless bike sharing at street level
Spatial Non-Stationarity of Influencing Factors of China’s County Economic Development Base on a Multiscale Geographically Weighted Regression Model
The development of the county economy in China is a complicated process that is influenced by many factors in different ways. This study is based on multi-source big data, such as Tencent user density (TUD) data and point of interest (POI) data, to calculate the different influencing factors, and employed a multiscale geographically weighted regression (MGWR) model to explore their spatial non-stationarity impact on China’s county economic develo…
How Can Urban Built Environment (Be) Influence on-Road (Or) Carbon Emissions? A Road Segment Scale Quantification Based on Massive Vehicle Trajectory Big Data
Crafting a jogging-friendly city: Harnessing big data to evaluate the runnability of urban streets
A novel index for assessing the rural population hollowing at fine spatial resolutions based on Tencent social media big data: A case study in Guangdong Province, China
Longitudinal relationships among anxiety and risk perception during the epidemic and post-epidemic anxiety in Shanghai, China: A memory reconstruction perspective
Exploring socio-spatial differentiation in bike-sharing: A daily activity space analysis of cyclists across different socioeconomic statuses
Mining individual daily commuting patterns of dockless bike-sharing users: A two-layer framework integrating spatiotemporal flow clustering and rule-based decision trees
Unveiling Disparities in Bicycling Mobility Patterns Across Socioeconomic Statuses: A Framework for Identifying User Profiles in Dockless Bike-Sharing Systems
Cycling, as a healthy and low-carbon nonmotorized form of mobility, plays a crucial role in promoting the sustainable development of urban transportation. Thus, fostering more equitable cycling for residents has become a critical topic in current transportation research. The relationship of individual socioeconomic status (SES) in cycling mobility patterns has not been sufficiently explored, however. To address this, we introduce a framework for …
Uncovering the residential relocation during urban renewal with time-series big data and spatial interpretable machine learning
Impacts of three-dimensional canopy structure on urban waterlogging: Thresholds, interactions, and local effects
An investigative study on enhancing the competence of medical students via participation in extracurricular research activities
BACKGROUND: As medical education evolves from traditional knowledge dissemination to evidence-based practice, problem-solving, and lifelong learning, developing research literacy among students has become essential. This study investigates medical undergraduates’ research participation, challenges encountered, and attitudes toward research, aiming to inform curricular reforms that foster research-competent healthcare professionals. METHODS: A cro…
Understanding nighttime leisure activities in various urban leisure spaces: A multi-factor interaction perspective based on mobile signaling data
Nighttime leisure activities play a crucial role in enhancing the quality of life for urban residents. However, existing studies have rarely differentiated the diverse spatial contexts in which nighttime leisure-related activities occur, limiting understanding of their spatiotemporal patterns and underlying mechanisms. This study aims to fill this gap by integrating mobile phone signaling data with areas of interest (AOI) datasets to systematical…
Carbon reduction effects of bike-sharing and metro integration: Spatial patterns and disparities across trip purposes
Urban Transport and Accessibility (19 works) · Geography (16 works) · Computer Science (13 works) · Engineering (12 works) · Human Mobility and Location-Based Analysis (12 works) · Transport engineering (10 works) · Cartography (8 works) · Mathematics (7 works) · Big data (6 works) · Bike sharing (6 works)