Investigating the differences in influencing factors on burglaries in migrant communities, local communities, and mixed communities: a case study of ZG City

Abstract Burglaries have detrimental effects on urban residents’ life quality and property safety. Prior research has overlooked the heterogeneity of factors influencing the spatial distribution of burglaries across different types of urban communities. To fill this gap, this study makes an in-depth...

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Main Authors: Jingxi Liu, Xiaoxue Li, Jinying Long, Guangwen Song
Format: Article
Language:English
Published: Springer Nature 2025-05-01
Series:Humanities & Social Sciences Communications
Online Access:https://doi.org/10.1057/s41599-025-04899-5
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author Jingxi Liu
Xiaoxue Li
Jinying Long
Guangwen Song
author_facet Jingxi Liu
Xiaoxue Li
Jinying Long
Guangwen Song
author_sort Jingxi Liu
collection DOAJ
description Abstract Burglaries have detrimental effects on urban residents’ life quality and property safety. Prior research has overlooked the heterogeneity of factors influencing the spatial distribution of burglaries across different types of urban communities. To fill this gap, this study makes an in-depth investigation by taking ZG City, a coastal city in southeast China, as an example and differentiating communities as Local Communities (LCs), Migrant Communities (MGCs), and Mixed Communities (MXCs) based on the proportion of migrant population in a community. The results show that the spatial distribution of burglaries in ZG City is affected by factors including the presence of potential perpetrators, social and built environment, and housing types and numbers. In MGCs, indicators of housing types have no significant impact on burglaries. In LCs, Internet bars, bus stops, and rental housing ratio are strong predictors of burglaries, while formerly public housing and housing with high rent significantly reduce burglaries. Notably, the influences of these factors vary due to the variation in the social and physical environment of communities. There are distinct demographic characteristics and built environment features among different communities, leading to varying levels of informal social control and anonymity, which in turn influence the occurrence of burglaries. This study informs context-specific strategies to prevent and control burglaries and for directions of urban renewal.
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spelling doaj-art-a7756e607bf0434eb76473eb10bec9532025-08-20T02:15:15ZengSpringer NatureHumanities & Social Sciences Communications2662-99922025-05-0112111110.1057/s41599-025-04899-5Investigating the differences in influencing factors on burglaries in migrant communities, local communities, and mixed communities: a case study of ZG CityJingxi Liu0Xiaoxue Li1Jinying Long2Guangwen Song3Center of Geographic Information Analysis for Public Security, School of Geography and Remote Sensing, Guangzhou UniversityCenter of Geographic Information Analysis for Public Security, School of Geography and Remote Sensing, Guangzhou UniversityCenter of Geographic Information Analysis for Public Security, School of Geography and Remote Sensing, Guangzhou UniversityCenter of Geographic Information Analysis for Public Security, School of Geography and Remote Sensing, Guangzhou UniversityAbstract Burglaries have detrimental effects on urban residents’ life quality and property safety. Prior research has overlooked the heterogeneity of factors influencing the spatial distribution of burglaries across different types of urban communities. To fill this gap, this study makes an in-depth investigation by taking ZG City, a coastal city in southeast China, as an example and differentiating communities as Local Communities (LCs), Migrant Communities (MGCs), and Mixed Communities (MXCs) based on the proportion of migrant population in a community. The results show that the spatial distribution of burglaries in ZG City is affected by factors including the presence of potential perpetrators, social and built environment, and housing types and numbers. In MGCs, indicators of housing types have no significant impact on burglaries. In LCs, Internet bars, bus stops, and rental housing ratio are strong predictors of burglaries, while formerly public housing and housing with high rent significantly reduce burglaries. Notably, the influences of these factors vary due to the variation in the social and physical environment of communities. There are distinct demographic characteristics and built environment features among different communities, leading to varying levels of informal social control and anonymity, which in turn influence the occurrence of burglaries. This study informs context-specific strategies to prevent and control burglaries and for directions of urban renewal.https://doi.org/10.1057/s41599-025-04899-5
spellingShingle Jingxi Liu
Xiaoxue Li
Jinying Long
Guangwen Song
Investigating the differences in influencing factors on burglaries in migrant communities, local communities, and mixed communities: a case study of ZG City
Humanities & Social Sciences Communications
title Investigating the differences in influencing factors on burglaries in migrant communities, local communities, and mixed communities: a case study of ZG City
title_full Investigating the differences in influencing factors on burglaries in migrant communities, local communities, and mixed communities: a case study of ZG City
title_fullStr Investigating the differences in influencing factors on burglaries in migrant communities, local communities, and mixed communities: a case study of ZG City
title_full_unstemmed Investigating the differences in influencing factors on burglaries in migrant communities, local communities, and mixed communities: a case study of ZG City
title_short Investigating the differences in influencing factors on burglaries in migrant communities, local communities, and mixed communities: a case study of ZG City
title_sort investigating the differences in influencing factors on burglaries in migrant communities local communities and mixed communities a case study of zg city
url https://doi.org/10.1057/s41599-025-04899-5
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