UMD Theses and Dissertations

Permanent URI for this collectionhttp://hdl.handle.net/1903/3

New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.

More information is available at Theses and Dissertations at University of Maryland Libraries.

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Subject: search.filters.subject.Routine Activity Theory

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    Mitigating Mass Shooting Severity: A Reconstruction and Application of the Routine Activity Theory
    (2021) Yanez, Yesenia Angelica; Dugan, Laura; Criminology and Criminal Justice; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    While mass shootings are considered statistically rare, they have become deadlier over time. One way to mitigate the severity of a mass shooting is to exploit the continuum that exists in each element of the Routine Activity Theory (RAT). Using data from the Violence Project mass shooter database, this study tests the relationship between all three components of RAT and mass shooting fatalities. Results reveal that, after controlling for other the components, offender motivation and target suitability significantly predict an event’s severity. Specifically, the number of firearms to brought to a scene and the location’s openness and density are positively related to event fatalities. These findings offer practical policy implications that can mitigate the severity of future mass shootings.
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    BUILDING A BASELINE: UNIFYING SPATIAL AND TEMPORAL METHODOLOGIES TO UNDERSTAND ARCHAEOLOGICAL LOOTING IN EGYPT
    (2019) Fabiani, Michelle Rose Dippolito; Dugan, Laura; Criminology and Criminal Justice; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Archaeological looting – the illegal excavation or removal of an antiquity from the ground or structural complex of an archaeological site – is a persistent issue in many countries. National and international laws, agreements, conventions, and statutes all proscribe the looting transporting, possession, and sale of antiquities illegally removed from archaeological sites. Looting has also generated a lot of academic attention, with scholarship developing in archaeology, sociology, criminology, and law (among others). Despite such legal proscriptions and scholarly contributions to understanding this phenomenon, current efforts have been unable to produce tangible solutions for preventing this crime. Not only has there not yet been extensive scholarship to understand the link between looting and contextual forces, there is a dearth of research on the most effective ways to study these interconnected variables. Using a framework of routine activity theory, this dissertation proposes a new possible approach that considers spatial, temporal, and spatio-temporal relationships to establish baseline data on patterns of archaeological looting attempts in Lower Egypt from 2015 to 2017 relative to sociopolitical, economic, and environmental stress — and to begin to address this research gap. Specifically, this dissertation proposes a methodology for collecting and coding data on archaeological looting attempts from satellite imagery. It then applies a series of spatial (clustering, proximity), temporal (SEM, VAR, ARDL), and spatio-temporal methods (clustering, hot spots analysis, spatial time series) to these data to demonstrate the importance of analyzing this phenomena multidimensionally.