A5100686305- Urban Green Space and Health
- Urban Heat Island Mitigation
- Land Use and Ecosystem Services
- Impact of Light on Environment and Health
- Noise Effects and Management
- Urban Transport and Accessibility
- Climate Change and Health Impacts
- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Bat Biology and Ecology Studies
- Yersinia bacterium, plague, ectoparasites research
- Urban Agriculture and Sustainability
- Remote Sensing and LiDAR Applications
- Air Quality and Health Impacts
- Human Mobility and Location-Based Analysis
- Rabies epidemiology and control
- Mobile Health and mHealth Applications
- Remote-Sensing Image Classification
- Transportation Planning and Optimization
- Philosophy and Historical Thought
- HIV Research and Treatment
- Flood Risk Assessment and Management
- Gender Diversity and Inequality
- Urban Design and Spatial Analysis
- Japanese History and Culture
Yunnan Agricultural University
2025
Shandong Academy of Agricultural Sciences
2024
Temple University
2020-2024
University City Science Center
2024
University of Pennsylvania
2024
California University of Pennsylvania
2024
Tea Research Institute
2024
Temple College
2020-2023
Goddard Space Flight Center
2023
Johns Hopkins University
2023
Urban green space provides a series of esthetic, environmental and psychological benefits to urban residents. However, the relationship between visibility vegetation perceived safety is still in debate. This research investigated whether could help increase based on crowdsourced dataset: Place Pulse 1.0 dataset. dataset, which was generated from large number votes by online participants, includes geo-tagged Google Street View images corresponding score for each image. In this study, we...
The manner in which features of the built environment, such as walkability and greenness, impact participation recreational activities health are complex. We analyzed survey data provided by 282 Ottawa adults 2016. collected information on physical season, whether these were performed within participants’ neighbourhoods. SF-12 instrument was used to characterize their overall mental health. Measures active living satellite derived Normalized Difference Vegetation Index (NDVI) Google Street...
This study investigated the extent to which subjectively and objectively measured street-level perceptions complement or conflict with each other in explaining property value. Street-scene can be assessed from self-reported survey questions, quantified land use data pixel ratios of physical features extracted street-view imagery. Prior studies mainly relied on objective indicators describe found that a better street environment is associated price premium. While very few have addressed...
Background Massive die-offs of little brown bats (Myotis lucifugus) have been occurring since 2006 in hibernation sites around Albany, New York, and this problem has spread to other States the Northeastern United States. White cottony fungal growth is seen on snouts affected animals, a prominent sign Nose Syndrome (WNS). A previous report described involvement fungus Geomyces destructans WNS, but an identical was recently isolated France from bat that evidently healthy. The recovered...
Abstract Having an active lifestyle is recognized to positively contribute public health. Creating more walkable streets and neighborhoods important way promote for urban residents. It therefore understand how the built environment can influence human walking activities. In this study, we investigated interaction of activities physical characteristics streetscapes in Boston. A large number anonymous pedestrian trajectories collected from a smartphone application were used estimate Publicly...
Land-use maps are important references for urban planning and studies. Given the heterogeneity of land-use types, it is difficult to differentiate different types based on overhead remotely sensed data. Google Street View (GSV) images, which capture façades building blocks along streets, could be better used judge their façade appearances. Recently developed scene classification algorithms in computer vision community make possible categorize photos semantically various image feature...
As an important part of the urban ecosystem, trees provide various benefits to residents. It is therefore examine spatial distribution and temporal change in tree canopies. Different from traditional overhead view remote sensing-based methods, street-level images, which present most common that people have greenery, a more human-centric way quantify street This study mapped analyzed green index, represents visibility canopies along streets New York City during last 10 years using historical...
Traditional methods of detecting and mapping utility poles are inefficient costly because the demand for visual interpretation with quality data sources or intense field inspection. The advent deep learning object detection provides an opportunity from side-view optical images. In this study, we proposed using a learning-based method automatically roadside crossarms (UPCs) Google Street View (GSV) combines state-of-the-art DL algorithm (i.e., RetinaNet algorithm) modified brute-force-based...
Urban greenery is considered an important factor in sustainable development and people’s quality of life the city. To account for urban green vegetation, Green View Index (GVI), which captures visibility at street level, has been used. However, as GVI point-based estimation, when aggregated area-level by mean or median, it sensitive to location sampled sites, overweighing values densely located sites. make estimation more robust, this study aims (1) propose improved indicator (standardized...
In this study, we investigate the compatibility of specific vulnerability indicators and heat exposure data suitability spatial temperature-related at a range resolutions, to represent temperature variations within cities using from Atlanta, Georgia. For purpose, include various types known theoretically based such as street-level landscape features urban form metrics, population-based zone-based variables predictors, different measures temperature, including air (as vector-based data), land...