Wildlife crime, including poaching and wildlife trafficking, threaten the existence of particular species. To date, research on crime has been primarily conducted by those with backgrounds in biological sciences, however scientists, have much to offer examining crimes. With this mind, we aim highlight general principals science found through an in-depth review conservation literature. More specifically, determine if, how, different types crimes cluster, identify interventions for which...

Objectives: Inspired by ecological theories of crime, the aim this study was to make use a natural experiment see if U.K. soccer stadium generates or attracts crime in area that surrounds it. Method: Data for theft and violent around Wembley are analyzed rate (per-unit time ambient population) differ days on which is used those it not. In addition, differences spatial temporal distribution examined these two types days. Results: Analyses indicate when used, per-unit elevated, but per...

Illegal wildlife trade is among the most profitable transnational crimes in world. In U.S. fewer than 330 agents from Fish and Wildlife Services are tasked with inspecting 72 air seaports to intercept illicit products. This paper suggests a risk assessment strategy that utilizes analytical techniques criminology contraband entering Using LEMIS database, 40,113 incidents of seized products 2003 2012 were identified. Results suggest disproportionate share export countries, ports entry, times...

This paper uses resilience as a lens through which to analyse disasters and other major threats patterns of criminal behaviour. A set indicators mathematical models are introduced that aim quantitatively describe changes in crime levels comparison what could otherwise be expected, might expected by way adaptation subsequent resumption those patterns. The validity the proposed assessment tool is demonstrated using commercial theft data from COVID-19 pandemic period. 64 per cent reduction was...

Crowd-based events, such as football matches, are considered generators of crime. Criminological research on the influence matches has consistently uncovered differences in spatial crime patterns, particularly areas around stadia. At same time, social media data mining shows a high volume created during events. This study seeks to build these two streams by exploring relationship between events and nearby Twitter activity stadium, estimating possible tweets for explaining presence or absence...

This article makes use of hourly crime counts to model the relationship between events that take place at Prudential Center in Newark, NJ and robberies, an arena has caused local controversy regarding costs benefits hosting such entertainment venue. Results from econometric suggest NHL’s New Jersey Devils ice hockey games, concerts, Disney-themed are all associated with increases robbery, while various other event categories as NBA basketball games played by Nets boxing, mixed martial arts...

Given the fast-paced nature of modern police work, development and use advanced data mining tools for crime analysis can play a critical factor in mitigating future harm helping with prevention. This paper aims to solve problem identifying potential serial offending patterns using previously underutilised attributes from police-recorded data. To achieve this processing procedure is proposed that extracts three variables event data: (1) time; (2) setting; (3) modus operandi. Each crime-event...

COVID-19 health restrictions not only affected crime rates but also created a new and temporary type of crime, public violations. Unfortunately, this has yet been empirically scrutinized. The current study is the first to explore these violations by using dataset City San Antonio which documents all calls inspections about Specifically, investigates location types (where) that produce greatest number calls/inspections, warnings, citations for violations; how they trended over time (when);...

The global health crisis that started early in 2020 has triggered a surge of interest the effect (if any) COVID-19 (coronavirus disease) on patterns domestic violence. first systematic review and meta-analysis examining violence during pandemic revealed quite lot diversity approaches used to measure potential effects. Drawing time series forecasting literature, this brief report contributes growing body evidence around issue pandemic. Arrest data from Miami-Dade County are leveraged along...

Background: The 2020/2021 National Football League (NFL) season was unique. Not just because it took place under incredibly difficult circumstances, but of the contrasting conditions that led to some games having fans attend and others did not. are akin a natural experiment. treatment, football included fans, control, those played behind closed doors. Here, we exploit this variation better understand effect mass gatherings during sporting events on local incidence COVID-19.Methods: We...

Fuel prices have increased sharply over the past year. In this study we test hypothesis that increases in price of fuel are associated with motorists filling their tank and driving off without paying. We use weekly crime data from six police forces England Wales for period January 2018 to July 2022, combined regional on number sales average prices. Our results demonstrate an overall weak price-theft relationship 238 week period, less so than previous studies. However, find strong evidence...

Abstract Objectives Evaluate the effects that Prudential Center events had on crime in downtown Newark from 2007 to 2015 terms of incident counts and spatial characteristics. Methods We evaluate held at via negative binomial regression. Through Fasano-Franceschini test, we assess whether crimes occurred during spatially differ compared incidents no-event hours. Finally, employ logistic regression correlation between locations activity center. Results Five event types (out nine) are...

As the volume of police recording data continue to improve so fast that interest in predicting future crime appear. This had led a growing interest, particularly amongst criminologists, with prediction, however preoccupation methods such as mining or machine learning has been almost exclusively focused on dynamics space-time forecasting opposed techniques might better identify likely repeat offenders. paper seeks address this gap literature by taking advantage sample offender provided...