There are widespread concerns about the use of artificial intelligence in law enforcement.
Predictive policing and risk assessment are salient examples. Worries include the accuracy …

The primary objective of this study is to accumulate, summarize, and evaluate the state-of-
the-art for spatio-temporal crime hotspot detection and prediction techniques by conducting …

Social Media are sensors in the real world that can be used to measure the pulse of
societies. However, the massive and unfiltered feed of messages posted in social media is a …

Inclusive green growth (IGG) based on coordinating the society, economy, and environment
is a new way to reach sustainable development. However, there is a lack of relevant …

Large quantities of spatiotemporal (ST) data can be easily collected from various domains
such as transportation, social media analysis, crime analysis, and human mobility analysis …

Tourism sensory experiences represent a spatially constrained and constructed process
influenced by various environmental stimuli. Although growing academic attention has been …

Abstract The Automated Enforcement System (AES) has become the most important traffic
enforcement system in China. In this study, a spatio-temporal kernel density estimation …

Background Predictive policing and crime analytics with a spatiotemporal focus get
increasing attention among a variety of scientific communities and are already being …

Public investments are commonly linked with urban growth and change in points of interest
(POI). This study aims to detect the changes in 5 POI categories within 250, 500, and 1000 m …

The practice of crime risk mapping, enabled by the utilization of geospatial big data such as
street view images, has received significant research attention. However, in situations where …