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  1. Article: Crime and coronavirus: social distancing, lockdown, and the mobility elasticity of crime.

    Halford, Eric / Dixon, Anthony / Farrell, Graham / Malleson, Nicolas / Tilley, Nick

    Crime science

    2020  Volume 9, Issue 1, Page(s) 11

    Abstract: Governments around the world restricted movement of people, using social distancing and lockdowns ... elasticity of crime for four crime types, finding shoplifting and other theft inelastic but responsive ... March lockdown, all recorded crime had declined 41%, with variation: shoplifting (- 62%), theft (- 52 ...

    Abstract Governments around the world restricted movement of people, using social distancing and lockdowns, to help stem the global coronavirus (COVID-19) pandemic. We examine crime effects for one UK police force area in comparison to 5-year averages. There is variation in the onset of change by crime type, some declining from the WHO 'global pandemic' announcement of 11 March, others later. By 1 week after the 23 March lockdown, all recorded crime had declined 41%, with variation: shoplifting (- 62%), theft (- 52%), domestic abuse (- 45%), theft from vehicle (- 43%), assault (- 36%), burglary dwelling (- 25%) and burglary non-dwelling (- 25%). We use Google Covid-19 Community Mobility Reports to calculate the mobility elasticity of crime for four crime types, finding shoplifting and other theft inelastic but responsive to reduced retail sector mobility (MEC = 0.84, 0.71 respectively), burglary dwelling elastic to
    Keywords covid19
    Language English
    Publishing date 2020-07-06
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2806589-X
    ISSN 2193-7680
    ISSN 2193-7680
    DOI 10.1186/s40163-020-00121-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Crime and coronavirus

    Eric Halford / Anthony Dixon / Graham Farrell / Nicolas Malleson / Nick Tilley

    Crime Science, Vol 9, Iss 1, Pp 1-

    social distancing, lockdown, and the mobility elasticity of crime

    2020  Volume 12

    Abstract: ... elasticity of crime for four crime types, finding shoplifting and other theft inelastic but responsive ... lockdowns, to help stem the global coronavirus (COVID-19) pandemic. We examine crime effects for one UK ... Abstract Governments around the world restricted movement of people, using social distancing and ...

    Abstract Abstract Governments around the world restricted movement of people, using social distancing and lockdowns, to help stem the global coronavirus (COVID-19) pandemic. We examine crime effects for one UK police force area in comparison to 5-year averages. There is variation in the onset of change by crime type, some declining from the WHO ‘global pandemic’ announcement of 11 March, others later. By 1 week after the 23 March lockdown, all recorded crime had declined 41%, with variation: shoplifting (− 62%), theft (− 52%), domestic abuse (− 45%), theft from vehicle (− 43%), assault (− 36%), burglary dwelling (− 25%) and burglary non-dwelling (− 25%). We use Google Covid-19 Community Mobility Reports to calculate the mobility elasticity of crime for four crime types, finding shoplifting and other theft inelastic but responsive to reduced retail sector mobility (MEC = 0.84, 0.71 respectively), burglary dwelling elastic to increases in residential area mobility (− 1), with assault inelastic but responsive to reduced workplace mobility (0.56). We theorise that crime rate changes were primarily caused by those in mobility, suggesting a mobility theory of crime change in the pandemic. We identify implications for crime theory, policy and future research.
    Keywords COVID-19 and crime ; Mobility and crime ; Movement and crime ; Google COVID-19 Community Mobility Reports ; Mobility elasticity of crime ; Mobility theory of crime ; Science (General) ; Q1-390 ; Social pathology. Social and public welfare. Criminology ; HV1-9960 ; covid19
    Subject code 360
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Crime and coronavirus

    Halford, E / Dixon, A / Farrell, G / Malleson, N / Tilley, N

    social distancing, lockdown, and the mobility elasticity of crime

    2020  

    Abstract: Governments around the world restricted movement of people, using social distancing and lockdowns ... elasticity of crime for four crime types, finding shoplifting and other theft inelastic but responsive ... We theorise that crime rate changes were primarily caused by those in mobility, suggesting a mobility theory ...

    Abstract Governments around the world restricted movement of people, using social distancing and lockdowns, to help stem the global coronavirus (COVID-19) pandemic. We examine crime effects for one UK police force area in comparison to 5-year averages. There is variation in the onset of change by crime type, some declining from the WHO ‘global pandemic’ announcement of 11 March, others later. By 1 week after the 23 March lockdown, all recorded crime had declined 41%, with variation: shoplifting (− 62%), theft (− 52%), domestic abuse (− 45%), theft from vehicle (− 43%), assault (− 36%), burglary dwelling (− 25%) and burglary non-dwelling (− 25%). We use Google Covid-19 Community Mobility Reports to calculate the mobility elasticity of crime for four crime types, finding shoplifting and other theft inelastic but responsive to reduced retail sector mobility (MEC = 0.84, 0.71 respectively), burglary dwelling elastic to increases in residential area mobility (− 1), with assault inelastic but responsive to reduced workplace mobility (0.56). We theorise that crime rate changes were primarily caused by those in mobility, suggesting a mobility theory of crime change in the pandemic. We identify implications for crime theory, policy and future research.
    Keywords covid19
    Subject code 360
    Publishing date 2020-07-06
    Publisher SpringerOpen
    Publishing country uk
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: Crime and coronavirus

    Halford, Eric / Dixon, Anthony / Farrell, Graham / Malleson, Nick / Tilley, Nick

    Social distancing, lockdown and the mobility elasticity of crime

    2020  

    Abstract: Governments around the world restricted movement of people, using social distancing and lockdowns ... dwelling (-25%). We use Google Covid-19 Consumer Mobility Reports to calculate the mobility elasticity ... We theorise that crime rate changes were primarily caused by those in mobility, suggesting a mobility theory ...

    Abstract Governments around the world restricted movement of people, using social distancing and lockdowns, to help stem the global coronavirus (COVID-19) pandemic. We examine crime effects for one UK police force area in comparison to 5-year averages. There is variation in the onset of change by crime type, some declining from the WHO ‘global pandemic’ announcement of 11 March, others later. By one week after the 23 March lockdown, all recorded crime had declined 41%, with variation: shoplifting (-62%), theft (-52%), domestic abuse (-45%), theft from vehicle (-43%), assault (-36%), burglary dwelling (-25%) and burglary non-dwelling (-25%). We use Google Covid-19 Consumer Mobility Reports to calculate the mobility elasticity of crime for four crime types, finding shoplifting and other theft inelastic but responsive to reduced retail sector mobility (MEC = 0.84, 0.71 respectively), burglary dwelling elastic to increases in residential area mobility (-1), with assault inelastic but responsive to reduced workplace mobility (0.56). We theorise that crime rate changes were primarily caused by those in mobility, suggesting a mobility theory of crime change in the pandemic. We identify implications for crime theory, policy and future research.
    Keywords covid19
    Publisher Center for Open Science
    Publishing country us
    Document type Book ; Online
    DOI 10.31235/osf.io/4qzca
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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