Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility

A critical issue in the geography of crime is the quantitative analysis of the spatial distribution of crimes which usually changes over time. In this paper, we use the concept of exchange mobility across different time periods to determine the spatial distribution of the theft rate in the city of W...

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Main Authors: Yicheng Tang, Xinyan Zhu, Wei Guo, Lian Duan, Ling Wu
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:http://www.mdpi.com/2220-9964/7/6/210
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spelling doaj-14107b83ada344c88ee4cdbd8a0440f72020-11-24T21:09:55ZengMDPI AGISPRS International Journal of Geo-Information2220-99642018-06-017621010.3390/ijgi7060210ijgi7060210Analyzing Space-Time Dynamics of Theft Rates Using Exchange MobilityYicheng Tang0Xinyan Zhu1Wei Guo2Lian Duan3Ling Wu4State Key Lab of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Lab of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Lab of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaSchool of Geographical Sciences and Planning, Guangxi Teachers Education University, Nanning 530001, ChinaDepartment of Sociology, Kent State University, Kent, OH 44240, USAA critical issue in the geography of crime is the quantitative analysis of the spatial distribution of crimes which usually changes over time. In this paper, we use the concept of exchange mobility across different time periods to determine the spatial distribution of the theft rate in the city of Wuhan, China, in 2016. To this end, we use a newly-developed spatial dynamic indicator, the Local Indicator of Mobility Association (LIMA), which can detect differences in the spatial distribution of theft rate rankings over time from a distributional dynamics perspective. Our results provide a scientific reference for the evaluation of the effects of crime prevention efforts and offer a decision-making tool to enhance the application of temporal and spatial analytical methods.http://www.mdpi.com/2220-9964/7/6/210crimeexchange mobilityspatial-time concordancerank correlationLIMA
collection DOAJ
language English
format Article
sources DOAJ
author Yicheng Tang
Xinyan Zhu
Wei Guo
Lian Duan
Ling Wu
spellingShingle Yicheng Tang
Xinyan Zhu
Wei Guo
Lian Duan
Ling Wu
Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility
ISPRS International Journal of Geo-Information
crime
exchange mobility
spatial-time concordance
rank correlation
LIMA
author_facet Yicheng Tang
Xinyan Zhu
Wei Guo
Lian Duan
Ling Wu
author_sort Yicheng Tang
title Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility
title_short Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility
title_full Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility
title_fullStr Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility
title_full_unstemmed Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility
title_sort analyzing space-time dynamics of theft rates using exchange mobility
publisher MDPI AG
series ISPRS International Journal of Geo-Information
issn 2220-9964
publishDate 2018-06-01
description A critical issue in the geography of crime is the quantitative analysis of the spatial distribution of crimes which usually changes over time. In this paper, we use the concept of exchange mobility across different time periods to determine the spatial distribution of the theft rate in the city of Wuhan, China, in 2016. To this end, we use a newly-developed spatial dynamic indicator, the Local Indicator of Mobility Association (LIMA), which can detect differences in the spatial distribution of theft rate rankings over time from a distributional dynamics perspective. Our results provide a scientific reference for the evaluation of the effects of crime prevention efforts and offer a decision-making tool to enhance the application of temporal and spatial analytical methods.
topic crime
exchange mobility
spatial-time concordance
rank correlation
LIMA
url http://www.mdpi.com/2220-9964/7/6/210
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AT lianduan analyzingspacetimedynamicsoftheftratesusingexchangemobility
AT lingwu analyzingspacetimedynamicsoftheftratesusingexchangemobility
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