Modelling the effects of street permeability on burglary in Wuhan, China

Han Yue; Xinyan Zhu; Xinyue Ye; Tao Hu; Sonali Kudva

doi:10.1016/j.apgeog.2018.06.005

Modelling the effects of street permeability on burglary in Wuhan, China

Han Yue, Xinyan Zhu, Xinyue Ye, Tao Hu, Sonali Kudva

Informatics

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

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).

Original language	English (US)
Pages (from-to)	177-183
Number of pages	7
Journal	Applied Geography
Volume	98
DOIs	https://doi.org/10.1016/j.apgeog.2018.06.005
State	Published - Sep 2018

All Science Journal Classification (ASJC) codes

Forestry
Geography, Planning and Development
General Environmental Science
Tourism, Leisure and Hospitality Management

Keywords

Burglary
Permeability
Spatial concentration
Street segment

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10.1016/j.apgeog.2018.06.005

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title = "Modelling the effects of street permeability on burglary in Wuhan, China",

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).",

keywords = "Burglary, Permeability, Spatial concentration, Street segment",

author = "Han Yue and Xinyan Zhu and Xinyue Ye and Tao Hu and Sonali Kudva",

note = "Publisher Copyright: {\textcopyright} 2018 Elsevier Ltd",

year = "2018",

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doi = "10.1016/j.apgeog.2018.06.005",

language = "English (US)",

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TY - JOUR

T1 - Modelling the effects of street permeability on burglary in Wuhan, China

AU - Yue, Han

AU - Zhu, Xinyan

AU - Ye, Xinyue

AU - Hu, Tao

AU - Kudva, Sonali

PY - 2018/9

Y1 - 2018/9

N2 - 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).

AB - 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).

KW - Burglary

KW - Permeability

KW - Spatial concentration

KW - Street segment

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VL - 98

SP - 177

EP - 183

JO - Applied Geography

JF - Applied Geography

ER -

Modelling the effects of street permeability on burglary in Wuhan, China

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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