Street Sense: Learning from Google Street View
How good are the public services and the public infrastructure? Does their quality vary by income? These are vital questions---they shed light on how well the government is doing its job, the consequences of disparities in local funding, etc. But there is little good data on many of these questions.
Suriyan Laohaprapanon +2 more
openaire +2 more sources
Using Google Street View to Audit Neighborhood Environments [PDF]
Research indicates that neighborhood environment characteristics such as physical disorder influence health and health behavior. In-person audit of neighborhood environments is costly and time-consuming. Google Street View may allow auditing of neighborhood environments more easily and at lower cost, but little is known about the feasibility of such ...
Andrew G, Rundle +4 more
openaire +2 more sources
Using Deep Learning and Google Street View Imagery to Assess and Improve Cyclist Safety in London
Cycling is a sustainable mode of transportation with significant benefits for society. The number of cyclists on the streets depends heavily on their perception of safety, which makes it essential to establish a common metric for determining and ...
Luis Rita +4 more
semanticscholar +1 more source
Removing pedestrians from Google street view images [PDF]
Since the introduction of Google Street View, a part of Google Maps, vehicles equipped with roof-mounted mobile cameras have methodically captured street-level images of entire cities. The worldwide Street View coverage spans over 10 countries in four different continents. This service is freely available to anyone with an internet connection.
Arturo Flores, Serge J. Belongie
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Using an audit tool (MAPS Global) to assess the characteristics of the physical environment related to walking for transport in youth : reliability of Belgian data [PDF]
Background: The aim was to examine inter-rater and alternate-form reliability of the Microscale Audit of Pedestrian Streetscapes (MAPS) Global tool to assess the physical environment along likely walking routes in Belgium.
Cardon, Greet +9 more
core +5 more sources
Google Street View i nie-ludzka fotografia w projektach Jona Rafmana i Michaela Wolfa
Artykuł jest próbą podjęcia refleksji nad zjawiskiem nie-ludzkiej fotografii. Punktem wyjścia tekstu jest zwrócenie uwagi na fakt, że w dobie automatyzacji procesu fotografowania, zdjęcia wykonywane przez człowieka są tylko jednym z wymiarów ...
Agata Stronciwilk
doaj +1 more source
Large-scale privacy protection in Google Street View [PDF]
The last two years have witnessed the introduction and rapid expansion of products based upon large, systematically-gathered, street-level image collections, such as Google Street View, EveryScape, and Mapjack. In the process of gathering images of public spaces, these projects also capture license plates, faces, and other information considered ...
Andrea Frome +8 more
openaire +1 more source
Forecasting Traffic Speed during Daytime from Google Street View Images using Deep Learning
Traffic forecasting plays an important role in urban planning. Deep learning methods outperform traditional traffic flow forecasting models because of their ability to capture spatiotemporal characteristics of traffic conditions.
J. Jiao, Huihai Wang
semanticscholar +1 more source
High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data.
Air pollution affects billions of people worldwide, yet ambient pollution measurements are limited for much of the world. Urban air pollution concentrations vary sharply over short distances (≪1 km) owing to unevenly distributed emission sources ...
J. Apte +9 more
semanticscholar +1 more source
HIERARCHICAL DATA MODEL FOR STORAGE AND INDEXING OF MASSIVE STREET VIEW [PDF]
Maintaining an up-to-date inventory of urban infrastructure such as fire hydrant is critical to urban management. Street view database such as Google Street View and Baidu Street View contain street-level images, their potential for urban management has ...
M. Du +4 more
doaj +1 more source

