A New Methodological Framework for Crime Spatial Analysis Using Local Entropy Map

Mohsen Kalantari, Alireza Rahmaty Ghavagh, Ara Toomanian and Qiumars Yazdanpanah Dero

Modern Applied Science, 2016, vol. 10, issue 9, 179

Abstract: The highest crime rate in major cities has been always a challenge for managers and urban planners. In order to control and reduce the crime rate, different methods have been proposed in recent decades. Considering the relationship between land use and crime, in this study, potential spatial dependency between commercial land uses, banks, bus and subway stations and pickpocketing was investigated in Tehran. To analyze the spatial dependency, local entropy models and nonparametric approach were used. Using ArcGIS ESRI product we created the local entropy maps to show the significance level of each local region, which allows interactive examination of significant local multivariate relationships. The results show a high spatial autocorrelation between mentioned land uses and specified crimes. The parameters indicate a significant cluster distribution. Furthermore, pickpocketing density at the bus stops is at the high Bonferroni level. The results specify that spatial patterns of pickpocketing are related to land use in the study area.

Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ccsenet.org/journal/index.php/mas/article/download/60959/32646 (application/pdf)
https://ccsenet.org/journal/index.php/mas/article/view/60959 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:masjnl:v:10:y:2016:i:9:p:179

Access Statistics for this article

More articles in Modern Applied Science from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().