Developing a model of perceptions of security and insecurity in the context of crime

Reid, Iain; Appleby-Arnold, Sandra; Brockdorff, Noellie; Jakovljev, Ivana; Zdravković, Sunčica

doi:10.1080/13218719.2020.1742235

Cited by 13 publications

(12 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Concerning to criminal and environmental variables, all but indirect victimisation were related to the perception of (in)security. Overall, these results stressed the relevance of criminal and environmental variables to the perception of (in)security, as suggested by the model proposed by Reid et al (2020). It is reasonable to expect that those who perceived crime as increasing reported the highest perception of insecurity, despite the first perception contradicts official crime data (Portugal Statistics, 2020).…”

Section: Discussionsupporting

confidence: 54%

“…Recently, Reid et al (2020) developed a model of perception of insecurity in the context of crime, based on a sample of 272 participants from eleven European countries (i.e., Romania, Serbia, Spain, United Kingdom, Austria, France, Bulgaria, Germany, Italy, Malta, and Norway), and found seven distinct factors, namely signs of social and physical disorder, trait anxiety, collective efficacy, perceived risk of victimisation, fear of personal harm, fear of property theft, and trust in police. Moreover, authors found that people who perceived crime in neighbourhood as high tended to present high values in signs of social and physical disorder, perceived risk of victimisation, fear of personal harm, fear of property theft, and, oppositely, low values in trust in police and collective efficacy.…”

Section: Factors Affecting Perception Of (In)securitymentioning

confidence: 99%

See 1 more Smart Citation

Do you Feel Safe in the Urban Space? From Perceptions to Associated Variables

Azevedo

Sani

Nunes

et al. 2021

Anuario De Psicología Jurídica

View full text Add to dashboard Cite

According to the well-known pyramid of needs from Maslow (1943), safety and security are the second-level basic needs that should be satisfied for all humans. In a more recent work, entitled Needs and subjective wellbeing around the world, Tay and Diener (2011) assessed the association between the fulfilment of needs and subjective well-being across a sample of 123 countries from eight sociocultural regions of the world (i.e.

show abstract

Section: Discussionsupporting

confidence: 54%

Section: Factors Affecting Perception Of (In)securitymentioning

confidence: 99%

Do you Feel Safe in the Urban Space? From Perceptions to Associated Variables

Azevedo

Sani

Nunes

et al. 2021

Anuario De Psicología Jurídica

View full text Add to dashboard Cite

show abstract

“…These approaches seem to capture the fear of crime at the country level in Latin America [33]. However, fear of crime is just one of the factors influencing the perception of security [5]- [7]. To our knowledge, this study represents the first endeavor to characterize the more general concept of perception of security on a daily scale on Twitter at the city level.…”

Section: Discussionmentioning

confidence: 99%

“…This feeling is deeply associated with the fear of crime [4], which is the emotional response (subjective perception) that people would face when they are crime victims. However, the perception of security also encompasses other factors, for instance, signs of social and physical disorders and confidence in institutions, among others [5]- [7]. The perception of security also changes in time and space [8] and depends on individual circumstances and experiences that the victim or related people can suffer [9].…”

Section: Introductionmentioning

confidence: 99%

Quantifying Perception of Security Through Social Media and Its Relationship With Crime

et al. 2021

View full text Add to dashboard Cite

The perception of security refers to the subjective evaluation of risks related to security events and the magnitude of their consequences. Negative perceptions have severe implications in society. These feelings are commonly quantified by citizen's surveys, which are time-consuming and do not adapt well to the changing dynamics linked to security. Recently, Twitter social network emerged as an alternative to quantify some of these feelings dynamically. However, most of these approaches focused on counting the amount of content related to crime, which is only one of the relevant factors determining the perception of security. In addition, these models do not account for the polarity and tone underlying the social network content. This work introduces a model for quantification of Perception of Security on Twitter based on sentiment analysis and studies its relationship with actual crime. The model relies on an automatic strategy for filtering content related to security based on a support vector machine classifier and quantifying the sentiment in the posts using a multinomial naive Bayes classifier. These measures of sentiment allow computing estimates of perception of security at a daily scale. This model studied more than 1.700.000 tweets in Bogotá (Colombia), collected during more than one year (March 18 of 2019 -April 28 of 2020). Results suggest that machine learning-based approaches may outperform previous security content filtering strategies by 21% in F1-score and provide quantifications on the sentiments of about 40% on accuracy. Trained models were used to provide daily estimates of perception of security, which are different from those captured by counting the number of posts related to security. Furthermore, the associations between perceptions and actual crimes exhibited monthly variations and showed that in some months, perceptions were more related to robbery, a crime with high incidence in the city. These results may help decisionmakers devise strategies to reduce the impact of the negative perception on citizens.

show abstract

“…It has been argued that, faced with the threat of victimization, people tend to restrict their daily activities by avoiding specific places or interacting with certain people, increasing social isolation and, consequently, negatively impacting people's quality of life (Rader and Haynes 2012). Examining the factors that may contribute to mitigate FOC and feelings of insecurity is crucial to better design community policing approaches and promote greater community resilience against perceived and real crime (Reid et al 2020). Therefore, this study aims to understand how specific individual, socio/environmental and incivility variables could contribute to predict crime against people and property, either frequent or feared.…”

Section: Introductionmentioning

confidence: 99%

Predicting Frequent and Feared Crime Typologies: Individual and Social/Environmental Variables, and Incivilities

et al. 2022

View full text Add to dashboard Cite

The lack of organisation in urban spaces plays a decisive role in the level of integration, communication and social bonds of the residents, impacting the citizens’ feelings of trust and security. Different personal variables and contextual characteristics have been associated with the fear of crime (FOC). The main objective of this study is to analyse how individual and social/environmental variables, and incivilities, predict crime against people and property, crime that has either happened or is feared to happen. Five hundred and fifty-four residents (M = 43.82; SD = 18.38) in the Historic Centre of Porto (HCP), Portugal, answered 61 items of the Diagnosis of Local Security (DLS) Questionnaire. The results of this study show that in the most frequent crime category, 72% of occurrences represent crime against property. In the feared crime category, there is a preponderance of crime against people (61%). Age of the respondents predicted the most frequent and feared crime, while sex predicted the most feared crime only. Social/environmental variables, as well as incivilities, also predict the frequent and feared crime in two typologies, i.e., crime against people and crime against property. Practical implications to reduce FOC and areas for further investigation are discussed.

show abstract

Developing a model of perceptions of security and insecurity in the context of crime

Cited by 13 publications

References 46 publications

Do you Feel Safe in the Urban Space? From Perceptions to Associated Variables

Do you Feel Safe in the Urban Space? From Perceptions to Associated Variables

Quantifying Perception of Security Through Social Media and Its Relationship With Crime

Predicting Frequent and Feared Crime Typologies: Individual and Social/Environmental Variables, and Incivilities

Contact Info

Product

Resources

About