A5021117983- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Land Use and Ecosystem Services
- Urban Green Space and Health
- Impact of Light on Environment and Health
- Air Quality and Health Impacts
- Urban Design and Spatial Analysis
- Noise Effects and Management
- Urban and Freight Transport Logistics
- Consumer Retail Behavior Studies
- Urban Heat Island Mitigation
- Traffic control and management
- Wildlife-Road Interactions and Conservation
- Traffic Prediction and Management Techniques
- Culinary Culture and Tourism
- Urban, Neighborhood, and Segregation Studies
- Recreation, Leisure, Wilderness Management
- Injury Epidemiology and Prevention
- Asthma and respiratory diseases
- Transportation and Mobility Innovations
- Simulation and Modeling Applications
- Diverse Aspects of Tourism Research
- Remote Sensing and Land Use
- Smoking Behavior and Cessation
Guangzhou Urban Planning Survey & Design Institute
2021-2024
Guangzhou Science, Technology and Innovation Commission
2023-2024
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality
2023-2024
Tianjin Municipal Engineering Design and Research Institute
2024
Guangdong Province Environmental Monitoring Center
2021
Guangzhou University
2018-2021
Qingdao University of Technology
2010
Beijing Jiaotong University
2007
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 impact built environment (BE) factors on usage, few examined modifiable areal unit problem (MAUP). Moreover, previous mainly focused separate effect each factor but neglected interactions between these factors. Taking Shenzhen, China as case, this study fills two gaps by employing...
The unprecedented wave of urbanization has led to the development urban heat island (UHI) effect in Guangdong-Hong Kong-Macao greater bay area (GBA) China. In this study, spatiotemporal evolution patterns UHI and its relationship with expansion GBA from 2000 2020 were explored. First, space–time cube model emerging hot spot analysis applied identify UHIs. Second, centroid movement analysis, spatial coupling a geographical detector quantify between UHIs expansion. Results found that was...
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 usage around metro stations using a global model. However, their spatial associations on public holidays have seldom explored previous studies. In this study, was obtained objectively eye-level street-view images by deep learning segmentation overhead view from the normalized difference vegetation index (NDVI)....
In the post-pandemic era, outdoor jogging has become an increasingly popular form of exercise due to growing emphasis on health. It is essential comprehensively analyze factors influencing spatial distribution activities and propose planning strategies with practical guidance. Using multi-source geospatial big data multiple models, this study constructs a comprehensive analytical framework examine association between environmental variables frequency in Guangzhou. Firstly, trajectory were...
Understanding the urban expansion process along inter-city rail transit corridors is critical to regional integration of city groups. Though numerous studies have considered influences on land use and form, most focused local station areas or intra-city structures. Few examined effects dynamic at a scale. In this study, multi-remote sensing images, landscape metrics gradient analysis were combined investigate spatial temporal dynamics structural changes GuangFo Metro in Pearl River Delta,...
The development of the county economy in China is a complicated process that influenced by many factors different ways. This study based on multi-source big data, such as Tencent user density (TUD) data and point interest (POI) to calculate influencing factors, employed multiscale geographically weighted regression (MGWR) model explore their spatial non-stationarity impact China’s economic development. results showed can be useful factor because they have significant correlation with GDP...
Numerous studies have been devoted to uncovering the characteristics of resident density and urban mobility with multisource geospatial big data. However, little attention has paid internal diversity residents such as their occupations, which is a crucial aspect vibrancy. This study aims investigate variation between individual interactive influences built environment factors on occupation mixture index (OMI) novel GeoDetector-based indicator. first integrated application (App) use patterns...
Spatial heterogeneity of human activities (SHHA) is part the urban ecosystems, which influences understanding ecological processes and landscape functions. Few security pattern (ESP) studies have comprehensively measured SHHA explicitly explained its effect on ESP planning. It affects efficiency functions planning, leading to challenges in maximizing development ecosystem benefits. In this study, Tencent user density (TUD) data considering activity for all time periods point interest (POI)...
Mobile phone data is a typical type of big with great potential to explore human mobility and individual portrait identification. Previous studies in population classifications mobile only focused on spatiotemporal patterns their clusters. In this study, novel analytical framework an integration spatial non-spatial behavior, through smart APP (applications) usage preference, was proposed portray citizens’ occupations Guangzhou center data. An occupation mixture index (OMI) assess the...