Artificial intelligence, predictive policing, and risk assessment for law enforcement
RA Berk - Annual Review of Criminology, 2021 - annualreviews.org
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 …
Predictive policing and risk assessment are salient examples. Worries include the accuracy …
Spatio-temporal crime hotspot detection and prediction: a systematic literature review
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 …
the-art for spatio-temporal crime hotspot detection and prediction techniques by conducting …
Detecting and monitoring hate speech in Twitter
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 …
societies. However, the massive and unfiltered feed of messages posted in social media is a …
Inclusive green growth for sustainable development of cities in China: spatiotemporal differences and influencing factors
S Fan, H Huang, W Mbanyele, Z Guo… - Environmental Science and …, 2023 - Springer
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 …
is a new way to reach sustainable development. However, there is a lack of relevant …
Spatiotemporal data clustering: A survey of methods
Z Shi, LSC Pun-Cheng - ISPRS international journal of geo-information, 2019 - mdpi.com
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 …
such as transportation, social media analysis, crime analysis, and human mobility analysis …
Urban sensory map: How do tourists “sense” a destination spatially?
Tourism sensory experiences represent a spatially constrained and constructed process
influenced by various environmental stimuli. Although growing academic attention has been …
influenced by various environmental stimuli. Although growing academic attention has been …
Analyzing traffic violation behavior at urban intersections: A spatio-temporal kernel density estimation approach using automated enforcement system data
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 …
enforcement system in China. In this study, a spatio-temporal kernel density estimation …
A systematic review on spatial crime forecasting
Background Predictive policing and crime analytics with a spatiotemporal focus get
increasing attention among a variety of scientific communities and are already being …
increasing attention among a variety of scientific communities and are already being …
Determination of the impacts of urban-planning of the urban land area using GIS hotspot analysis
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 …
(POI). This study aims to detect the changes in 5 POI categories within 250, 500, and 1000 m …
Extracting the pickpocketing information implied in the built environment by treating it as the anomalies
The practice of crime risk map**, enabled by the utilization of geospatial big data such as
street view images, has received significant research attention. However, in situations where …
street view images, has received significant research attention. However, in situations where …