[HTML][HTML] Algorithmic urban planning for smart and sustainable development: Systematic review of the literature

TH Son, Z Weedon, T Yigitcanlar, T Sanchez… - Sustainable Cities and …, 2023 - Elsevier
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 …

Clarity or confusion: A review of computer vision street attributes in urban studies and planning

L Liu, A Sevtsuk - Cities, 2024 - Elsevier
The acceleration of urban imagery data analysis, driven by computer vision (CV), has
created noteworthy opportunities for urban studies and planning. Data on street …

Sensing urban soundscapes from street view imagery

T Zhao, X Liang, W Tu, Z Huang, F Biljecki - Computers, Environment and …, 2023 - Elsevier
A healthy acoustic environment is an essential component of sustainable cities. Various
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

Y Li, N Yabuki, T Fukuda - Landscape and Urban Planning, 2023 - Elsevier
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 …

Measuring visual walkability perception using panoramic street view images, virtual reality, and deep learning

Y Li, N Yabuki, T Fukuda - Sustainable Cities and Society, 2022 - Elsevier
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 …

Exploring the association between street built environment and street vitality using deep learning methods

Y Li, N Yabuki, T Fukuda - Sustainable Cities and Society, 2022 - Elsevier
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 …

Automatic generation of synthetic datasets from a city digital twin for use in the instance segmentation of building facades

J Zhang, T Fukuda, N Yabuki - Journal of Computational Design …, 2022 - academic.oup.com
The extraction and integration of building facade data are necessary for the development of
information infrastructure for urban environments. However, existing methods for parsing …

Translating street view imagery to correct perspectives to enhance bikeability and walkability studies

K Ito, M Quintana, X Han, R Zimmermann… - International Journal of …, 2024 - Taylor & Francis
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 …

An approach to urban landscape character assessment: Linking urban big data and machine learning

LU Yutian, XU Sun, LIU Songxue, WU Jiayu - Sustainable Cities and …, 2022 - Elsevier
Diverse urban landscape is an important cultural driving force for urban sustainable
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 …