A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
A review of urban physical environment sensing using street view imagery in public health studies
Urban physical environments are the physical settings and built environments in
neighbourhoods and cities which provide places for human activities. Evidence suggests …
neighbourhoods and cities which provide places for human activities. Evidence suggests …
Measuring human perceptions of a large-scale urban region using machine learning
Measuring the human sense of place and quantifying the connections among the visual
features of the built environment that impact the human sense of place have long been of …
features of the built environment that impact the human sense of place have long been of …
[HTML][HTML] Measuring residents' perceptions of city streets to inform better street planning through deep learning and space syntax
The quality of street space plays an important role in promoting urban development. Street
space refers to public spaces consisting of street elements such as plant, roads and …
space refers to public spaces consisting of street elements such as plant, roads and …
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 …
Assessing impacts of objective features and subjective perceptions of street environment on running amount: A case study of Boston
The built environment is found to relate to running behaviors. However, the impacts of the
street environment on running were less addressed due to the lack of running data in large …
street environment on running were less addressed due to the lack of running data in large …
Subjective or objective measures of street environment, which are more effective in explaining housing prices?
Houses with better street design are found to relate to a price premium. Prior studies mainly
present the street quality using objective indicators like tree counts and distance to parks …
present the street quality using objective indicators like tree counts and distance to parks …
Revealing spatio-temporal evolution of urban visual environments with street view imagery
The visual landscape plays a pivotal role in urban planning and healthy cities. Recent
studies of visual evaluation focus on either objective or subjective approach, while …
studies of visual evaluation focus on either objective or subjective approach, while …
A human-machine adversarial scoring framework for urban perception assessment using street-view images
Though global-coverage urban perception datasets have been recently created using
machine learning, their efficacy in accurately assessing local urban perceptions for other …
machine learning, their efficacy in accurately assessing local urban perceptions for other …
Assessing bikeability with street view imagery and computer vision
Studies evaluating bikeability usually compute spatial indicators sha** cycling conditions
and conflate them in a quantitative index. Much research involves site visits or conventional …
and conflate them in a quantitative index. Much research involves site visits or conventional …