Public housing and the fear of crime

DeLone, Gregory J.

doi:10.1016/j.jcrimjus.2008.02.003

Cited by 27 publications

(19 citation statements)

References 48 publications

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“…As predicted, trust significantly influenced fear; those with higher levels of trust expressed lower levels of fear (DeLone 2008;Ferguson and Mindel 2007;Gibson et al 2002). Additionally, trust was found to mediate the impact of victimization, disorder, and perceived risk on fear, although it did not eliminate these relationships (see Ross and Jang 2000).…”

Section: Discussionmentioning

confidence: 76%

“…Many recent studies' findings have differed from the long-standing belief that older people are more fearful of crime, concluding that fear and age are actually negatively correlated (DeLone 2008;LaGrange and Ferraro 1989;Scheider et al 2003). LaGrange and Ferraro (1989) explain that studies using the NCVS question to measure fear present a scenario that few respondents, particularly the older and female respondents, are likely to experience.…”

Section: Discussionmentioning

confidence: 97%

“…In fact, some recent research has found that gender may not have a significant direct effect on fear controlling for other important variables (Rountree and Land 1996). Similarly, the assumption that older people are more fearful of crime may be inaccurate as many recent studies have found that fear and age are negatively correlated (DeLone 2008;LaGrange and Ferraro 1989;Rountree and Land 1996;Scheider et al 2003) or that older people are no more fearful than younger people (Ross and Jang 2000). LaGrange and Ferraro (1989) report that the NCVS measure is responsible for the exaggeration of fear among older people.…”

Section: Demographic Characteristicsmentioning

confidence: 99%

“…Certainly, researchers have long been interested in the link between social capital (and related constructs, such as collective efficacy and informal social control) and crime (Sampson et al 1997(Sampson et al , 2002. Some studies have focused on the role that these variables play in fear of crime (Box et al 1988;DeLone 2008;Kanan and Pruitt 2002;Markowitz et al 2001;McGarrell et al 1997;Renauer 2007;Taylor et al 1984;Taylor and Hale 1986). The assumption is that those who develop connections with their neighbors and neighborhoods should report lower levels of fear (Franklin et al 2008).…”

Section: Perceived Riskmentioning

confidence: 99%

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Fear of Crime Revisited: Examining the Direct and Indirect Effects of Disorder, Risk Perception, and Social Capital

2010

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Fear of crime has long been considered a significant social problem, spurring decades of academic research and leading to a variety of policy initiatives. Building on prior research, this study investigated the direct and indirect effects of demographic characteristics, social and physical disorder, and prior victimization on fear of crime. Further, it assessed the direct and indirect effects of perceived risk on fear. Finally, the research examined the extent to which social capital mediated the impact of these variables on fear. Using data from a survey of residents in a southeastern city, analyses reveal that victimization and disorder significantly predict fear of crime, and that risk perception and social capital mediate the relationship between disorder and victimization on fear. Further, structural equation models show a number of interesting indirect effects. Policy implications and directions for future research are discussed.

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Section: Discussionmentioning

confidence: 76%

Section: Discussionmentioning

confidence: 97%

Section: Demographic Characteristicsmentioning

confidence: 99%

Section: Perceived Riskmentioning

confidence: 99%

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Fear of Crime Revisited: Examining the Direct and Indirect Effects of Disorder, Risk Perception, and Social Capital

2010

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“…From another perspective, the access behavior of an "illegitimate" subject is similar to crime in law since they both violate the constraints defined for the actions. Research has shown that crime has significant temporal and spatial features 15,16 . For example, November and December are the period in which most criminal cases happen during a year and most criminal cases happen between 6pm and 12pm during a day.…”

Section: Scenario Trustmentioning

confidence: 99%

An Access Control Method based on Scenario Trust

Ma¹,

He²,

Shuai³

2012

IJCIS

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Access control is an important element in network security. Meanwhile, trust provides a new direction for access control in open network environments. Based on the dynamic nature of trust, we study the temporal and spatial characteristics in the security of society and propose the concept of scenario trust in which we consider four factors: access time, place, history behavior and risk control strategy. First, we apply fuzzy clustering method and information entropy theory to the design of an algorithm for allocating weights to the factors of scenario trust and, consequently, quantify scenario trust. Then, we introduce the notion of trust threshold for fine-grained access permission management and describe the rules that map scenario trust values to access permissions. On this basis, we propose a dynamic access control model based on scenario trust. Simulation results show that the proposed method is effective and can defend joint fraud. The model exhibits good scalability and can meet the need of dynamic access control in open network environments.

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