Modelling the effects of street permeability on burglary in Wuhan, China
Document Type
Article
Publication Date
9-1-2018
Abstract
Crime is spatially concentrated as a result of many contributing factors. In this study, we evaluate the influence of street network permeability on the spatial distribution of burglary in Wuhan, China. First, we review previous research on the effects of street permeability on crime as well as the underlying interpretations and assumptions. Then, we explain the method used in this study and evaluate the influence of street permeability, together with a series of socio-economic and public facilities variables, on burglaries at the street segment level. The results suggest that streets with higher local (non-local) permeability are expected to be safer (dangerous).
Identifier
85050526956 (Scopus)
Publication Title
Applied Geography
External Full Text Location
https://doi.org/10.1016/j.apgeog.2018.06.005
ISSN
01436228
First Page
177
Last Page
183
Volume
98
Grant
1637242
Fund Ref
National Science Foundation
Recommended Citation
Yue, Han; Zhu, Xinyan; Ye, Xinyue; Hu, Tao; and Kudva, Sonali, "Modelling the effects of street permeability on burglary in Wuhan, China" (2018). Faculty Publications. 8420.
https://digitalcommons.njit.edu/fac_pubs/8420
