Street view imagery (SVI) is increasingly in competition with traditional remote sensing
sources and assuming its domination in myriads of studies, mainly thanks to the …

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 …

Optimizing the built environment helps alleviate the adverse impact of extreme heat on
public health and sustainable urban development. To this end, this study measured the daily …

As an emerging and freely available urban big data, Street View Imagery (SVI) has proven to
be a useful resource to examine various urban phenomena in human behavior, the built …

This study makes initial efforts by delineating the distribution map of the mismatch between
street space quality and SWB in central Qingdao through machine learning approaches …

Planning for active mobility satisfies many fundamental tenets of good urban design and
planning. However, planning for active mobility is a complex endeavour due to numerous …

Decision-making processes in traditional urban design approaches are mainly top-down.
Such processes have defects including not only taking a long time to examine design results …

Understanding the conduciveness of an environment for running is critical for promoting
community wellbeing through physical activity. In-person assessment of these factors is time …

Accelerated urbanization has led to regional disruptions and exacerbated imbalances in
spatial quality, social cohesion, and inequalities. Urban regeneration, as a mitigating …

Abstract Domain knowledge of social and environmental sciences is generally derived from
less structured small data and/or small models. The integration of deep learning with …