Understanding cities with machine eyes: A review of deep computer vision in urban analytics
Modelling urban systems has interested planners and modellers for decades. Different
models have been achieved relying on mathematics, cellular automation, complexity, and …
models have been achieved relying on mathematics, cellular automation, complexity, and …
Take a look around: using street view and satellite images to estimate house prices
When an individual purchases a home, they simultaneously purchase its structural features,
its accessibility to work, and the neighborhood amenities. Some amenities, such as air …
its accessibility to work, and the neighborhood amenities. Some amenities, such as air …
Association between street greenery and walking behavior in older adults in Hong Kong
Built environment interventions, such as creating green and walkable neighborhoods have
increasingly been recognized as an effective approach to promote physical activity and …
increasingly been recognized as an effective approach to promote physical activity and …
Using social media, machine learning and natural language processing to map multiple recreational beneficiaries
Abstract Information and numbers on the use and appreciation of nature are valuable
information for protected area (PA) managers. A promising direction is the utilisation of …
information for protected area (PA) managers. A promising direction is the utilisation of …
Happiness is greater in more scenic locations
Does spending time in beautiful settings boost people's happiness? The answer to this
question has long remained elusive due to a paucity of large-scale data on environmental …
question has long remained elusive due to a paucity of large-scale data on environmental …
Street-Frontage-Net: urban image classification using deep convolutional neural networks
Quantifying aspects of urban design on a massive scale is crucial to help develop a deeper
understanding of urban designs elements that contribute to the success of a public space. In …
understanding of urban designs elements that contribute to the success of a public space. In …
Social media and deep learning capture the aesthetic quality of the landscape
Peoples' recreation and well-being are closely related to their aesthetic enjoyment of the
landscape. Ecosystem service (ES) assessments record the aesthetic contributions of …
landscape. Ecosystem service (ES) assessments record the aesthetic contributions of …
Deep mapping gentrification in a large Canadian city using deep learning and Google Street View
L Ilic, M Sawada, A Zarzelli - PloS one, 2019 - journals.plos.org
Gentrification is multidimensional and complex, but there is general agreement that visible
changes to neighbourhoods are a clear manifestation of the process. Recent advances in …
changes to neighbourhoods are a clear manifestation of the process. Recent advances in …
Landscape aesthetics: Spatial modelling and mapping using social media images and machine learning
Cultural ecosystem services such as aesthetic value are highly context-specific and often
present difficulties in their assessment. Here we present a case study in the northern English …
present difficulties in their assessment. Here we present a case study in the northern English …