[HTML][HTML] Computer vision applications for urban planning: A systematic review of opportunities and constraints
Computer vision (CV) technology, a key subset of artificial intelligence, provides powerful
tools for extracting valuable insights from visual data, which is a crucial component for the …
tools for extracting valuable insights from visual data, which is a crucial component for the …
GeoAI for large-scale image analysis and machine vision: recent progress of artificial intelligence in geography
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for
spatial analytics in Geography. Although much progress has been made in exploring the …
spatial analytics in Geography. Although much progress has been made in exploring the …
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 …
[HTML][HTML] Global microscale walkability ratings and rankings: A novel composite indicator for 59 European city centres
A Bartzokas-Tsiompras, E Bakogiannis… - Journal of transport …, 2023 - Elsevier
Several walkability studies have focused primarily on macro-level environmental factors.
Nevertheless, previous research has shown that street-level design can also support …
Nevertheless, previous research has shown that street-level design can also support …
Examining the influence of neighborhood and street-level built environment on fitness jogging in Chengdu, China: A massive GPS trajectory data analysis
Few studies have investigated the influences of the multilevel built environment (BE) factors
on jogging, compared with walking or cycling. This study explored neighborhood and street …
on jogging, compared with walking or cycling. This study explored neighborhood and street …
Explainable GeoAI: can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection
Improving the interpretability of geospatial artificial intelligence (GeoAI) models has become
critically important to open the 'black box'of complex AI models, such as deep learning. This …
critically important to open the 'black box'of complex AI models, such as deep learning. This …
Modeling place-based nature-based solutions to promote urban carbon neutrality
Nature-based solutions (NbS) are recognized as widely available and cost-effective
mechanisms for sequestering carbon and offsetting carbon emissions. Realistic NbS …
mechanisms for sequestering carbon and offsetting carbon emissions. Realistic NbS …
[HTML][HTML] Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives
Abstract Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor
(SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields …
(SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields …
A novel walkability index using google street view and deep learning
Despite its wide use across disciplines, the conventional walkability index has limited
applicability in planning and design practice because it shows poor agreement with …
applicability in planning and design practice because it shows poor agreement with …
[HTML][HTML] Street view environments are associated with the walking duration of pedestrians: The case of Amsterdam, the Netherlands
Different aspects of the built and natural environment appear related to people's walking
behavior. State-of-the-art transport studies typically incorporate built environmental …
behavior. State-of-the-art transport studies typically incorporate built environmental …