Modeling the Influence of Places on Crime Risk Through a Non-Linear Effects Model: a Comparison with Risk Terrain Modeling
comunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
comunitat-uji-handle4:
INVESTIGACIONEste recurso está restringido
https://doi.org/10.1007/s12061-021-09410-6 |
Metadatos
Título
Modeling the Influence of Places on Crime Risk Through a Non-Linear Effects Model: a Comparison with Risk Terrain ModelingFecha de publicación
2021Editor
SpringerISSN
1874-463X; 1874-4621Cita bibliográfica
Briz-Redón, Á., Mateu, J. & Montes, F. Modeling the Influence of Places on Crime Risk Through a Non-Linear Effects Model: a Comparison with Risk Terrain Modeling. Appl. Spatial Analysis (2021). https://doi.org/10.1007/s12061-021-09410-6Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://link.springer.com/article/10.1007/s12061-021-09410-6Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Analyzing how the proximity to certain features or particular places in a city increases or decreases crime risk across space is a fundamental issue in quantitative criminology from both explanatory and predictive ... [+]
Analyzing how the proximity to certain features or particular places in a city increases or decreases crime risk across space is a fundamental issue in quantitative criminology from both explanatory and predictive perspectives. Regarding the latter, the detection of high-risk cells is of special interest for practical reasons. There are several statistical modeling approaches that can be implemented in order to fulfil these two main objectives. The purpose of this study is to compare risk terrain modeling (RTM), a method widely used among quantitative criminologists, with a non-linear effects model that considers a non-linear function of distances to the selected places. To this end, a dataset containing crime events recorded in Valencia (Spain) along four years was used to perform the comparison. Several socio-demographic covariates and a selection of places in the city were considered for modeling crime counts with both the RTM and the non-linear approaches. The two modeling techniques were moderately coherent with regard to detecting certain types of places as responsible of higher (or lower) crime rates, but several differences arose. Furthermore, the non-linear model was more accurate than RTM to predict future crime occurrences for each of the three crime types that were considered for the analysis. In conclusion, the possibility of modeling the effect of a place on crime risk through non-linear functions appears as one competitive alternative or at least complement to RTM that may deserve further consideration. [-]
Publicado en
Applied Spatial Analysis and Policy, 2021Derechos de acceso
© 2021 Springer Nature
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
Aparece en las colecciones
- INIT_Articles [751]
- MAT_Articles [762]
Ítems relacionados
Mostrando ítems relacionados por Título, autoría o Palabra clave.
-
Basic personality dimensions and alcohol consumption in young adults
Ibáñez, Manuel I; Moya-Higueras, Jorge; Villa Martín, Elena; Mezquita, Laura; Ruipérez Rodríguez, María Ángeles; Ortet, Generós Elsevier (2010)Basic personality dimensions are relevant factors in the development of alcohol consumption. The main aim of this research was to evaluate the associations among some of the most important biodispositional models of ... -
On the probability distribution of the classical Gras implication index between two binary random variables
Gregori, Pablo; Couturier, Raphaël; Pazmiño-Mají, Rubén Pontifícia Universidade Católica de São Paulo, Programa de Estudos Pós-Graduados em Educação Matemática (2014)In this contribution we study the behavior of the classical Gras implication index as a random variable, when applied to a couple of Bernoulli variables (X,Y) , independent or not. We also show the effect of the conditional ... -
Visual Genres as Language Teaching Tools: Making words come alive
Carratalá Melchor, Joana Universitat Jaume I (2019-07-12)This final Master work (TFM) belongs to the educational improvement method 1, that is, to the implementation and assessment of a Didactic Unit in the English language subject. We have focused our attention, in particular, ...