Unsupervised learning (UL) has a long and successful history in untangling the complexity
of cities. As the counterpart of supervised learning, it discovers patterns from intrinsic data …

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 …

Determinants of housing prices are particularly significant for monitoring and understanding
housing prices. Traditional variables are measured through official statistics or questionnaire …

The increased availability of high-resolution multispectral imagery captured by remote
sensing platforms provides new opportunities for the characterisation and differentiation of …

Aerial image data are becoming more widely available, and analysis techniques based on
supervised learning are advancing their use in a wide variety of remote sensing contexts …

The proliferation of street view images (SVIs) and the constant advancements in deep
learning techniques have enabled urban analysts to extract and evaluate urban perceptions …

abstract Speeding is one of the primary contributors to rural road crashes. Self-explaining
theory offers a solution to reduce speeding, which suggests that well-designed facility …

Commercial districts, as the epicenters of urban commerce and economic activity, largely
reflect an area's prosperity through their customer flow. However, previous research, which …

Measuring human perception of environmental safety and quantifying the street view
elements that affect human perception of environmental safety are of great significance for …

The UK high street is constantly changing and evolving in response to, for example, online
sales, out-of-town developments, and economic crises. With over 10 years of hourly footfall …