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[HTML][HTML] Algorithmic urban planning for smart and sustainable development: Systematic review of the literature
In recent years, artificial intelligence (AI) has been increasingly put into use to address cities'
economic, social, environmental, and governance challenges. Thanks to its advanced …
economic, social, environmental, and governance challenges. Thanks to its advanced …
Clarity or confusion: A review of computer vision street attributes in urban studies and planning
The acceleration of urban imagery data analysis, driven by computer vision (CV), has
created noteworthy opportunities for urban studies and planning. Data on street …
created noteworthy opportunities for urban studies and planning. Data on street …
Sensing urban soundscapes from street view imagery
A healthy acoustic environment is an essential component of sustainable cities. Various
noise monitoring and simulation techniques have been developed to measure and evaluate …
noise monitoring and simulation techniques have been developed to measure and evaluate …
Integrating GIS, deep learning, and environmental sensors for multicriteria evaluation of urban street walkability
The walkability of urban streets (WoUS) benefits public health and urban livability, but there
is still no consensus on the quantitative and comprehensive evaluation of walkability …
is still no consensus on the quantitative and comprehensive evaluation of walkability …
Measuring visual walkability perception using panoramic street view images, virtual reality, and deep learning
Measuring perceptions of visual walkability in urban streets and exploring the associations
between the visual features of the street built environment that make walking attractive to …
between the visual features of the street built environment that make walking attractive to …
Exploring the association between street built environment and street vitality using deep learning methods
Street vitality has become an essential indicator for evaluating the attractiveness and
potential of the sustainable development of urban blocks, and it can be reflected by the type …
potential of the sustainable development of urban blocks, and it can be reflected by the type …
Automatic generation of synthetic datasets from a city digital twin for use in the instance segmentation of building facades
The extraction and integration of building facade data are necessary for the development of
information infrastructure for urban environments. However, existing methods for parsing …
information infrastructure for urban environments. However, existing methods for parsing …
Translating street view imagery to correct perspectives to enhance bikeability and walkability studies
Street view imagery (SVI), an emerging geospatial dataset, is useful for evaluating active
transportation infrastructure, but it faces potential biases from its vehicle-based capture …
transportation infrastructure, but it faces potential biases from its vehicle-based capture …
An approach to urban landscape character assessment: Linking urban big data and machine learning
Diverse urban landscape is an important cultural driving force for urban sustainable
development. Although characterizing landscape to protect landscape diversity is widely …
development. Although characterizing landscape to protect landscape diversity is widely …
Building façade color distribution, color harmony and diversity in relation to street functions: using street view images and deep learning
Y Zhai, R Gong, J Huo, B Fan - ISPRS International Journal of Geo …, 2023 - mdpi.com
Building façade colors play an important role in influencing urban imageability, attraction
and citizens' experience. However, the relations between street functions and the building …
and citizens' experience. However, the relations between street functions and the building …