A5085464870- Land Use and Ecosystem Services
- Impact of Light on Environment and Health
- Urban Transport and Accessibility
- Urban Design and Spatial Analysis
- Human Mobility and Location-Based Analysis
- Urban Heat Island Mitigation
- Industrial Vision Systems and Defect Detection
- Medical Image Segmentation Techniques
- Energy, Environment, Economic Growth
- Evacuation and Crowd Dynamics
- Advanced Neural Network Applications
- Environmental Impact and Sustainability
- Facility Location and Emergency Management
- Remote Sensing in Agriculture
- Nutritional Studies and Diet
- Diverse Aspects of Tourism Research
- Night-time city culture
- Urban Green Space and Health
- Sustainability and Climate Change Governance
- Remote Sensing and Land Use
- Wildlife-Road Interactions and Conservation
Institute of Urban Environment
2019-2025
Chinese Academy of Sciences
2019-2025
University of Chinese Academy of Sciences
2019-2021
Fujian Normal University
2018-2019
The intensification of climate change and the implementation territorial spatial planning policies have jointly increased complexity future carbon storage changes. However, impact on under remains unclear. Therefore, this study aims to reveal potential impacts sequestration, providing decision support for addressing optimizing planning. We employed FLUS model, InVEST variance partitioning analysis (VPA) method simulate 15 different scenarios that combine Xiamen in 2035, quantify individual...
Abstract The urban scaling theory (UST) strives for a universal taxonomy that depicts relationships among indicators (e.g. energy consumption, economic output) with city size. However, the lack of international agreement on definitions and statistics complicates cross-country comparisons performance. Remote sensing provides uniform standard measuring cities around world. To scrutinize consistency UST, we quantified changes in remotely sensed built-up areas (UBA) nighttime lights (NTL)...
Compact development is one of the most effective solutions for sustainable urbanization under rapid growth urban population. Great efforts have been made to measure physical compactness while limited attention has paid functional zoning areas. Here, we introduce a novel index, called index (FCI), quantify through integration geospatial data sources, including Points Interest (POIs) data, Road Network OpenStreetMap (RNO) and National Polar-orbiting Partnership (NPP) Visible Infrared Imaging...
The COVID-19 pandemic caused drastic changes in human activities and nighttime light (NTL) at various scales, providing a unique opportunity for exploring the pattern of extreme responses community. This study used daily NTL data to examine spatial variations temporal dynamics under influence COVID-19, taking Chinese mainland as area. results suggest that change intensity is not correlated number confirmed cases, but reflects epidemic prevention control measures within region. During...
The spatial distribution of fire stations is an important component both urban development and safety. For expanding mega-cities, land-use building function are subject to frequent changes, hence a complete picture risk profiles likely be lacking. Challenges for prevention can overwhelming city managers emergency responders. In this context, we use points interest (POI) data multi-time traffic situation (MTS) investigate the actual coverage in central Beijing under different situations. A...
Spatially, ecological infrastructure (EI) is a multi-scale and cross-level network promoting sustainable urban development. Due to the distinct features of different scales, researchers have emphasized importance EI construction, which calls for support from framework scientific evaluation. Thus, based on nature-based solutions (NbS) criteria, this study proposes construction benefits (MECBs-NbS) evaluation with scale differences chooses Guangdong-Hong Kong-Macao Greater Bay Area (GBA) as...
Information about urban built-up areas is important for planning and management. However, obtaining accurate information a challenge. This study developed general-purpose area intelligent classification (BAIC) system that supports various types of data classifiers. All the steps in BAIC were implemented using Python modules including Numpy, Pandas, matplotlib, scikit-learn. We used to conduct experiment involved seven input data; namely, Point Interest (POI), Road Network (RN), nighttime...
Based on the DBSCAN analysis, kernel density analysis and word cloud this paper analyzed composition types spatio-temporal evolution characteristics of catering points clusters form macro, meso micro dimensions within 5th ring road in Beijing with caterings POI data 2012, 2014 2016. The conclusions are as follows: first: (1) number total increased by about 6 times, center whole shows a tendency to move from west southeast. There is little change quantity clusters. distribution relatively...
Abstract Urban open spaces (UOS) are crucial for urban life, offering benefits across individual and societal levels. However, the understanding of systematic dynamic UOS scaling with city size its potential non-linear performance remains a limited clarity area. This study bridges this gap by integrating laws remote sensing data from 1990 to 2020, creating framework analyze trends in China. Our findings reveal that growth is sub-linear size, exhibiting economies scale exponents between 0.55...
Dark Night Park is a kind of public protection area with better starry sky viewing conditions. In this paper, taking Fujian Province as an example, some fit indexes are selected based RS and GIS technology to get scenic sites. The main conclusions follows: (1) the spatial distribution factors affecting location Dark-Sky obvious. Nighttime light radiation value significantly higher in southeastern than other areas, trend gradually decreases from center city. Historical sunny rate increasing...