Next Article in Journal
A Generalized Additive Model Combining Principal Component Analysis for PM2.5 Concentration Estimation
Previous Article in Journal
High-Resolution Remote Sensing Data Classification over Urban Areas Using Random Forest Ensemble and Fully Connected Conditional Random Field
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2017, 6(8), 246; doi:10.3390/ijgi6080246

Spatial Variation Relationship between Floating Population and Residential Burglary: A Case Study from ZG, China

1
Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
2
Department of Geography, University of Cincinnati, Cincinnati, OH 45221-0131, USA
*
Author to whom correspondence should be addressed.
Received: 5 July 2017 / Revised: 3 August 2017 / Accepted: 3 August 2017 / Published: 12 August 2017
View Full-Text   |   Download PDF [25194 KB, uploaded 12 August 2017]   |  

Abstract

With the rapid development of China’s economy, the demand for labor in the coastal cities continues to grow. Due to restrictions imposed by China’s household registration system, a large number of floating populations have subsequently appeared. The relationship between floating populations and crime, however, is not well understood. This paper investigates the impact of a floating population on residential burglary on a fine spatial scale. The floating population was divided into the floating population from other provinces (FPFOP) and the floating population from the same province as ZG city (FPFSP), because of the high heterogeneity. Univariate spatial patterns in residential burglary and the floating population in ZG were explored using Moran’s I and LISA (local indicators of spatial association) models. Furthermore, a geographically weighted Poisson regression model, which addressed the spatial effects in the data, was employed to explore the relationship between the floating population and residential burglary. The results revealed that the impact of the floating population on residential burglary is complex. The floating population from the same province did not have a significant impact on residential burglary in most parts of the city, while the floating population from other provinces had a significantly positive impact on residential burglary in most of the study areas and the magnitude of this impact varied across the study area. View Full-Text
Keywords: residential burglary; FPFOP; FPFSP; spatial analysis residential burglary; FPFOP; FPFSP; spatial analysis
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chen, J.; Liu, L.; Zhou, S.; Xiao, L.; Jiang, C. Spatial Variation Relationship between Floating Population and Residential Burglary: A Case Study from ZG, China. ISPRS Int. J. Geo-Inf. 2017, 6, 246.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top