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 …

Purpose The purpose of this work is to survey the body of research revolving around big
data (BD) and analytics in hospitality and tourism, by detecting macro topical areas …

The future of humanity depends increasingly on the performance of cities. Big data provide
new and powerful ways of studying and improving coupled urban environmental, social, and …

Studies evaluating bikeability usually compute spatial indicators shaping cycling conditions
and conflate them in a quantitative index. Much research involves site visits or conventional …

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 …

Highlights•A framework to characterize places regarding type, human activity, group and
locale using multi-source big geo-data.•Deriving place group information from individual …

Road safety in low-income countries (LICs) remains a major concern. Given the expected
increase in traffic exposure due to the relatively rapid motorisation of transport in LICs, it is …

Abstract While Google Street View (GSV) has been increasingly available for large-scale
examinations of urban landscapes, little is known about how to use this promising data …

This paper is a methodological guide to using machine learning in the spatial context. It
provides an overview of the existing spatial toolbox proposed in the literature: unsupervised …

The well-being of residents is considerably influenced by the quality of their environment.
However, due to the lack of large-scale quantitative and longitudinal evaluation methods, it …