David Buil-Gil

David Buil-Gil
The University of Manchester · Department of Criminology

Doctor of Philosophy
Lecturer in Quantitative Criminology

About

44
Publications
29,107
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277
Citations
Introduction
David Buil-Gil is a Lecturer in Quantitative Criminology at the Department of Criminology of the University of Manchester. His research areas cover geographic criminology, small area estimation applications in criminology, crime mapping, measurement error in criminological research, emotions about crime, perceptions about the police, new methods for data collection and open data.

Publications

Publications (44)
Article
Worry about crime is known to be higher in some European regions than others. However, cross-national surveys, which are the main source of information to map worry about crime across Europe, are designed to be representative of large areas (countries), and regions often suffer from small and unrepresentative sample sizes. This research produces re...
Article
This research examines the geographical distribution of perceived neighbourhood disorder in Manchester, England, by using small area estimates. Sample surveys are the main source of information to analyse perceived disorder. However, most surveys are only representative of large areas, and direct estimates may be unreliable at small area level. Sma...
Article
For decades, criminologists have been aware of the severe consequences of the dark figure of police records for crime prevention strategies. Crime surveys are developed to address the limitations of police statistics as crime data sources, and estimates produced from surveys can mitigate biases in police data. This paper produces small area estimat...
Article
Full-text available
Objectives: Police-recorded crimes are used by police forces to document community differences in crime and design spatially targeted strategies. Nevertheless, crimes known to police are affected by selection biases driven by underreporting. This paper presents a simulation study to analyze if crime statistics aggregated at small spatial scales are...
Preprint
Full-text available
The connection of home electronic devices to the internet allows remote control of physical devices and involves the collection of large volumes of data. With the increase in the uptake of Internet-of-Things home devices, it becomes critical to understand the digital harms of smart homes. We present a systematic literature review on the security an...
Article
Full-text available
Objectives Assess the extent to which measurement error in police recorded crime rates impact the estimates of regression models exploring the causes and consequences of crime.Methods We focus on linear models where crime rates are included either as the response or as an explanatory variable, in their original scale or log-transformed. Two measure...
Article
Police-recorded crime data is commonly used to assess the crime risk of tourists and locals. Police records, however, are affected by different crime reporting rates across population groups. No research has explored the different crime reporting propensities of tourists and locals. We analyse two sets of surveys in Barcelona, a general population...
Preprint
Full-text available
It has been long known that police recorded crime data is susceptible to substantial measurement error. However, despite its limitations, police data is widely used in regression models exploring the causes and effects of crime. Furthermore, because of the complex error mechanisms affecting police data, attempts to adjust for their impact are rare...
Article
Police-recorded crime data are prone to measurement error, affecting our understanding of the nature of crime. Research has responded to this problem using data from surveys and emergency services. These data sources are not error-free, and data from different sources are not always easily comparable. This study compares violent crime data recorded...
Book
“La composición del crimen: Una aproximación analítica” introduce los principales conceptos, teorías y evidencias sobre el estudio del crimen, invitando a toda persona interesada a adentrarse en este apasionante ámbito de estudio. El reto que nos planteamos en este libro es presentar una visión analítica sobre el fenómeno criminal. Nos preguntamos...
Article
Full-text available
We assess if asking victims about the places where crimes happen leads to estimates of “crime in place” with better measurement properties. We analyze data from the Barcelona Victimization Survey (2015–2020) aggregated in 73 neighborhoods using longitudinal quasi-simplex models and criterion validity to estimate the quality of four types of survey-...
Article
Although it is known that businesses report cybercrime to public authorities at a low rate, and this hinders prevention strategies, there is a lack of research on companies’ decisions to report cyber victimisation. This paper analyses the UK Cyber Security Breaches Survey to explore factors associated with cybercrime reporting by businesses. Result...
Article
Crime research has repeatedly shown that small proportions of offenders are responsible for large proportions of crimes. While there is a substantial body of evidence for this ‘offending concentration’ in connection to traditional offline crime, there is limited research assessing the concentration of offending for cybercrime. This research analyze...
Article
Full-text available
Much research has shown that the first lockdowns imposed in response to the COVID-19 pandemic were associated with changes in routine activities and, therefore, changes in crime. While several types of violent and property crime decreased immediately after the first lockdown, online crime rates increased. Nevertheless, little research has explored...
Preprint
Much research has shown that the first lockdowns imposed in response to the COVID-19 pandemic were associated with changes in routine activities and, therefore, changes in crime. While several types of violent and property crime decreased immediately after the first lockdown, online crime rates increased. Nevertheless, little research has explored...
Article
Full-text available
The unprecedented changes in routine activities brought about by COVID-19 and the associated lockdown measures contributed to a reduction in opportunities for predatory crimes in outdoor physical spaces, while people spent more time connected to the internet, and opportunities for cybercrime and fraud increased. This article applies time-series ana...
Preprint
Full-text available
We assess if asking victims about the places where crimes happen leads to estimates of ‘crime in place’ with better measurement properties. We analyse data from the Barcelona Victimization Survey (2015 to 2020) aggregated in 73 neighbourhoods using longitudinal quasi-simplex models and criterion validity to estimate the quality of four types of sur...
Article
Purpose: Romance fraud refers to situations where an individual is deceived for financial gain by someone with whom the victim perceives to be in a romantic relationship. With the increase in internet use, the growth in loneliness, and the increasing engagement in online dating sites during COVID-19, opportunities for romance fraud may have suffere...
Preprint
Full-text available
There have been many warnings about the rising threat of cybercrime and fraud resulting from the COVID-19 lockdown measures and the associated increase in Internet use. However, there is still relatively little data with which to support the alerts and any changes may be nuanced. The present paper applies time series analysis methods to historical...
Preprint
Full-text available
Objectives: Assess the extent to which measurement error in police recorded crime rates impact the estimates of regression models exploring the causes and consequences of crime. Methods: We focus on linear models where crime rates are included either as the response or as an explanatory variable, in their original scale, or log-transformed. Two me...
Article
Full-text available
There is growing need for reliable survey-based small area estimates of crime and confidence in police work to design and evaluate place-based policing strategies. Crime and confidence in policing are geographically aggregated and police resources can be targeted to areas with the most problems. High levels of spatial autocorrelation in these varia...
Preprint
Full-text available
Private organizations suffer great losses due to cybersecurity incidents, and they invest increasing resources to prevent attacks, but little is known about the effectiveness of cybersecurity measures for prevention. Based on the framework of Routine Activity Theory, this paper analyzes the impact of companies' online activities and cybersecurity m...
Preprint
Private organizations suffer great losses due to cybersecurity incidents, and they invest increasing resources to prevent attacks, but little is known about the effectiveness of cybersecurity measures for prevention. Based on the framework of Routine Activity Theory, this paper analyzes the impact of companies’ online activities and cybersecurity m...
Chapter
Open and crowdsourced data are becoming prominent in social sciences research. Crowdsourcing projects harness information from large numbers of citizens who voluntarily participate in one collaborative project, and allow new insights into people's attitudes and perceptions. However, these data may be affected by a series of biases that limit their...
Preprint
Victimization surveys provide key information about crimes known and unknown to the police, and are the main source of data to analyze perceived safety and trust in the police. These surveys, however, are only designed to allow the aggregation of responses and production of reliable direct estimates (i.e., weighted means or totals) at very large sp...
Preprint
Crowdsourcing refers to the practise of enlisting the knowledge, experience or skills of a large number of people (the crowd) through some digital platform to collect data towards a collaborative project. Crowdsourcing can generate large volumes of data in relatively little time at a very small cost, and can be useful for research, strategic police...
Technical Report
Full-text available
Lockdown and social distancing policies to reduce COVID-19 provoked large-scale changes in people’s everyday lives. People spent more time at home and connected to the Internet. Cyber-dependent crime spiked during April in lockdown but returned to the long-term trend in June 2020. Fraud, which is numerically larger, showed less variation.
Article
Full-text available
The COVID-19 outbreak and the far-reaching lockdown measures are having direct and indirect effects on complex social domains, including opportunities for crime offline and online. This paper presents preliminary analyses about the short-term effect of COVID-19 and lockdown measures on cyber-dependent crime and online fraud in the UK. Time series a...
Article
Few researches have considered fear of crime as a context-specific experience. This article promotes a place-based theoretical framework for studying crime perceptions through presenting app-based and crowdsourcing measures of perception of crime and place as a robust methodological framework. A systematic review of published studies that use crowd...
Preprint
Full-text available
Police-recorded crimes are used by police forces to map crime patterns and design spatially-targeted strategies. Nevertheless, maps of crimes known to police are affected by selection biases driven by unequal crime reporting rates across social groups. This paper presents a simulation study to analyse the impact of selection biases on crime maps pr...
Book
Full-text available
Desde hace algunas décadas, la investigación criminológica en España ha sido y está siendo un ámbito de investigación especialmente prolífico, y cada día son más los jóvenes que muestran su interés por iniciarse en la investigación académica en Criminología, síntoma de la buena salud de esta rama de las ciencias sociales. En este sentido, la Red Es...
Preprint
The term 'Geographic Information Systems' (GIS) defines those computerised systems designed to gather, store, manage, visualise and analyse data with a spatial component. While GIS is generally used to refer to software applications created to manage geographic information, in truth GIS are also defined by other key components such as the spatial d...
Thesis
Full-text available
Criminological research is moving towards the study of small geographic areas. Crime and crime perceptions are influenced by environmental features and contextual conditions that are more common in some places than others, and therefore these are unequally distributed in space. By visualising criminological phenomena with maps at small area level,...
Preprint
Full-text available
Open and crowdsourced data are becoming prominent in social sciences research. Crowdsourcing projects harness information from large crowds of citizens who voluntarily participate into one collaborative project, and allow new insights into people’s attitudes and perceptions. However, these are usually affected by a series of biases that limit their...
Preprint
Few researches have considered fear of crime as a context-specific experience. This paper promotes a place-based theoretical framework for studying crime perceptions through presenting app-based and crowdsourcing measures of perception of crime and place as a robust methodological framework. A systematic review of published studies that use crowdso...
Preprint
The use of spatially correlated random area effects is increasingly in use in small area estimation field. The spatial Empirical Best Linear Unbiased Predictor (SEBLUP), which borrows strength from correlated random area effects between neighbouring areas, have shown to reduce the estimates' variance and bias, both under simulated and real populati...
Article
Full-text available
Numerous researches have shown an unequal distribution of experiences of fear of crime in the urban environment. There are places that concentrate more events of fear of crime than others, showing that new methodologies are needed in order to put fear of crime on the map. The study of the socalled “hot spots of fear” has resulted in numerous theore...
Article
Full-text available
La Criminología surge a principios del siglo XIX como respuesta a la demanda social de estudio de las fuentes del comportamiento antisocial siguiendo las bases del método científico, con la finalidad de promover mecanismos para su prevención y tratamiento. A partir de un análisis de la literatura criminológica de los últimos tres siglos, el present...
Article
Full-text available
Durante los años ‘60, una serie de investigaciones realizadas en Estados Unidos de América, focalizaron por primera vez el interés de la Criminología en la parte subjetiva de la delincuencia, es decir, de qué manera la ciudadanía percibe la problemática delictiva más allá de cómo es objetivamente. Se observó que existía una parte de la seguridad su...

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Projects

Projects (3)
Project
Police-recorded crimes are the main source of information used by police forces to analyse crime patterns, investigate the spatial concentration of crime, and design spatially targeted strategies. Police statistics are also used to design and evaluate crime prevention policies and to develop theories of crime and deviance. Nevertheless, crimes known to police are affected by biases and unreliability driven by unequal crime reporting rates across social groups and geographical areas. The measures of error that affect the reliability of crime statistics is an issue that merits deeper scrutiny, since it affects police everyday practices, criminal policies and citizens’ everyday lives. Yet it is an understudied issue, and the implications of data biases for crime mapping are unknown. Moreover, police analyses are moving towards the study of smaller levels of geography than ever before, such as street segments with highly homogeneous communities. Maps produced from police records are used to foreground the micro places where rates of recorded crimes are larger. This project will investigate the impact of data biases on crime maps produced from police records at the different spatial scales. Simulation studies and applications will be used to assess whether micro-level maps are affected by a larger risk of bias than maps produced at larger scales.
Archived project
This project involves developing and applying small area estimation methods to criminological phenomena.
Project
Recent contributions to the advancement of research into fear of crime focus on framing it as a situational experience. To measure fear of crime operationalised in this way, innovations in technology for data collection must be applied, such as real-time mobile technologies, crowdsourcing or sensing. This project groups aims to contribute to the advancement of current topics in fear of crime research, in both methodological and theoretical innovations around operationalisation and measurement of this concept.