Zobrazeno 1 - 10
of 289
pro vyhledávání: '"Jensen, Shane T."'
We use high resolution data to investigate the association between crime incidence and proximity to different types of public schools over the past fifteen years in the city of Philadelphia. We employ two statistical methods, regression modeling and
Externí odkaz:
http://arxiv.org/abs/2206.03387
Autor:
Normoyle, Aline, Jensen, Shane T.
The complexity of game play in online multiplayer games has generated strong interest in modeling the different play styles or strategies used by players for success. We develop a hierarchical Bayesian regression approach for the online multiplayer g
Externí odkaz:
http://arxiv.org/abs/2112.07437
Estimation of the spatial heterogeneity in crime incidence across an entire city is an important step towards reducing crime and increasing our understanding of the physical and social functioning of urban environments. This is a difficult modeling e
Externí odkaz:
http://arxiv.org/abs/2112.02059
To what extent can the strength of a local urban community impact neighborhood safety? We construct measures of community vibrancy based on a unique dataset of block party permit approvals from the City of Philadelphia. Our first measure captures the
Externí odkaz:
http://arxiv.org/abs/2008.01778
We examine the effect of the Philadelphia LandCare (PLC) vacant lot greening initiative on crime and the extent to which surrounding land uses and business types moderate this intervention. We rely on a propensity score matching analysis to account f
Externí odkaz:
http://arxiv.org/abs/2007.06065
Autor:
Dong, Xiaoxia, Wu, Jasmine Siyu, Jensen, Shane T., Walshe, Elizabeth A., Winston, Flaura K., Ryerson, Megan S.
Publikováno v:
In Accident Analysis and Prevention October 2023 191
Accurate estimation of the change in crime over time is a critical first step towards better understanding of public safety in large urban environments. Bayesian hierarchical modeling is a natural way to study spatial variation in urban crime dynamic
Externí odkaz:
http://arxiv.org/abs/1912.00111
Autor:
Balocchi, Cecilia, Jensen, Shane T.
Understanding the relationship between change in crime over time and the geography of urban areas is an important problem for urban planning. Accurate estimation of changing crime rates throughout a city would aid law enforcement as well as enable st
Externí odkaz:
http://arxiv.org/abs/1901.08117
Autor:
Luna, José Marcio, Eaton, Eric, Ungar, Lyle H., Diffenderfer, Eric, Jensen, Shane T., Gennatas, Efstathios D., Wirth, Mateo, Simone II, Charles B., Solberg, Timothy D., Valdes, Gilmer
Additive models, such as produced by gradient boosting, and full interaction models, such as classification and regression trees (CART), are widely used algorithms that have been investigated largely in isolation. We show that these models exist alon
Externí odkaz:
http://arxiv.org/abs/1711.06793
Statistical analyses of urban environments have been recently improved through publicly available high resolution data and mapping technologies that have been adopted across industries. These technologies allow us to create metrics to empirically inv
Externí odkaz:
http://arxiv.org/abs/1702.07909