Large pre-trained models, also known as foundation models (FMs), are trained in a task-
agnostic manner on large-scale data and can be adapted to a wide range of downstream …

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 …

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 …

Urban network analytics has become an essential tool for understanding and modeling the
intricate complexity of cities. We introduce the Urbanity data repository to nurture this …

Outdoor jogging, as a physical exercise beneficial for health, has proliferated worldwide.
However, understanding the nonlinear and heterogeneous associations between …

We focus on the task of soundscape mapping, which involves predicting the most probable
sounds that could be perceived at a particular geographic location. We utilise recent state-of …

The street view image (SVI) and the point of interest (POI) are data sources with different
modalities and representing different urban environments, respectively. These two types of …

The relationship between the built environment and human perception of safety is well
recognised in a growing literature of urban studies. However, there is a lack of attention to …

The visual dimension of cities has been a fundamental subject in urban studies since the
pioneering work of late-nineteenth-to mid-twentieth-century scholars such as Camillo Sitte …

In this study, we propose a novel long short-term memory (LSTM) neural network model that
leverages color features (HSV: hue, saturation, value) extracted from street images to …