Street view imagery has rapidly ascended as an important data source for geospatial data
collection and urban analytics, deriving insights and supporting informed decisions. Such …

Examining the relationship between streetscape features and road traffic accidents is pivotal
for enhancing roadway safety. While previous studies have primarily focused on the …

This study aims to explore the effects of drivers' visual environment on speeding crashes by
using different machine learning techniques. To obtain the data of drivers' visual …

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 …

Street-view imagery has been densely covering cities. They provide a close-up perspective
of the urban physical environment, allowing a comprehensive perception and understanding …

Saudi Arabia is one of the countries with the highest number of road accidents and
associated fatalities in the world. Speeding has been identified as an important cause of …

Rapid global economic development, population growth, and increased motorization have
resulted in significant issues in urban traffic safety. This study explores the intrinsic …

Although reliable and accurate inventorying of sidewalks is time consuming, it can aid urban
planners in decision making for infrastructure development. Recent advancements in …

Building usage maps are inputs in various urban applications. Although Street View Images
(SVIs) are applied in many studies, their usage in the generation of building usage maps is …

The occurrence of road accidents continues to be one of the prominent causes of deaths,
disabilities and hospitalisation in the country. This makes traffic accident risk prediction …