[HTML][HTML] Street view imagery in urban analytics and GIS: A review
Street view imagery has rapidly ascended as an important data source for geospatial data
collection and urban analytics, deriving insights and supporting informed decisions. Such …
collection and urban analytics, deriving insights and supporting informed decisions. Such …
Beyond “bluespace” and “greenspace”: A narrative review of possible health benefits from exposure to other natural landscapes
Numerous studies have highlighted the physical and mental health benefits of contact with
nature, typically in landscapes characterized by plants (ie,“greenspace”) and water …
nature, typically in landscapes characterized by plants (ie,“greenspace”) and water …
To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults
Population aging is a conspicuous demographic trend sha** the world profoundly.
Walking is a critical travel mode and physical activity for older adults. As such, there is a …
Walking is a critical travel mode and physical activity for older adults. As such, there is a …
Examining the association between the built environment and pedestrian volume using street view images
Many studies have confirmed that the characteristics of the built environment affect
individual walking behaviors. However, scant attention has been paid to population-level …
individual walking behaviors. However, scant attention has been paid to population-level …
Global Streetscapes—A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics
Street view imagery (SVI) is instrumental for sensing urban environments, benefitting
numerous domains such as urban morphology, health, greenery, and accessibility. Billions …
numerous domains such as urban morphology, health, greenery, and accessibility. Billions …
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …
sustainable development by harnessing the power of cross-domain data fusion from diverse …
[HTML][HTML] A comprehensive framework for evaluating the quality of street view imagery
Street view imagery (SVI) is increasingly in competition with traditional remote sensing
sources and assuming its domination in myriads of studies, mainly thanks to the …
sources and assuming its domination in myriads of studies, mainly thanks to the …
GeoAI for large-scale image analysis and machine vision: recent progress of artificial intelligence in geography
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for
spatial analytics in Geography. Although much progress has been made in exploring the …
spatial analytics in Geography. Although much progress has been made in exploring the …
Exploring non-linear and synergistic effects of green spaces on active travel using crowdsourced data and interpretable machine learning
The relationship between green spaces and active travel has been extensively studied.
However, the majority of previous studies relied on small datasets concerning active travel …
However, the majority of previous studies relied on small datasets concerning active travel …
Spatially varying effects of street greenery on walking time of older adults
Population aging has become a notable and enduring demographic phenomenon
worldwide. Older adults' walking behavior is determined by many factors, such as …
worldwide. Older adults' walking behavior is determined by many factors, such as …