Different Ways Ambient and Immobile Population Distributions Influence Urban Crime Patterns
The article aims to propose a new way of estimating the ambient and immobile urban population using geotagged tweets and age structure, and to test how they are related to urban crime patterns. Using geotagged tweets and age structure data in 37 neighborhoods of Szczecin, Poland, we analyzed the fol...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/11/12/581 |
| _version_ | 1797457336751620096 |
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| author | Natalia Sypion-Dutkowska Minxuan Lan Marek Dutkowski Victoria Williams |
| author_facet | Natalia Sypion-Dutkowska Minxuan Lan Marek Dutkowski Victoria Williams |
| author_sort | Natalia Sypion-Dutkowska |
| collection | DOAJ |
| description | The article aims to propose a new way of estimating the ambient and immobile urban population using geotagged tweets and age structure, and to test how they are related to urban crime patterns. Using geotagged tweets and age structure data in 37 neighborhoods of Szczecin, Poland, we analyzed the following crime types that occurred during 2015–2017: burglary in commercial buildings, drug crime, fight and battery, property damage, and theft. Using negative binomial regression models, we found a positive correlation between the size of the ambient population and all investigated crime types. Additionally, neighborhoods with more immobile populations (younger than 16 or older than 65) tend to experience more commercial burglaries, but not other crime types. This may be related to the urban structure of Szczecin, Poland. Neighborhoods with higher rates of poverty and unemployment tend to experience more commercial burglaries, drug problems, property damage, and thefts. Additionally, the count of liquor stores is positively related to drug crime, fight-battery, and theft. This article suggests that the age structure of the population has an influence on the distribution of crime, thus it is necessary to tailor crime prevention strategies for different areas of the city. |
| first_indexed | 2024-03-09T16:20:48Z |
| format | Article |
| id | doaj.art-839158d5d21b468ea05428b9c1a4e8f3 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-09T16:20:48Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-839158d5d21b468ea05428b9c1a4e8f32023-11-24T15:20:39ZengMDPI AGISPRS International Journal of Geo-Information2220-99642022-11-01111258110.3390/ijgi11120581Different Ways Ambient and Immobile Population Distributions Influence Urban Crime PatternsNatalia Sypion-Dutkowska0Minxuan Lan1Marek Dutkowski2Victoria Williams3Institute of Spatial Management and Socioeconomic Geography, University of Szczecin, Mickiewicza 64 Street, 71-101 Szczecin, PolandDepartment of Geography and Planning, The University of Toledo, Toledo, OH 43606, USAInstitute of Spatial Management and Socioeconomic Geography, University of Szczecin, Mickiewicza 64 Street, 71-101 Szczecin, PolandDepartment of Behavioral Sciences, The University of Findlay, Findlay, OH 45840, USAThe article aims to propose a new way of estimating the ambient and immobile urban population using geotagged tweets and age structure, and to test how they are related to urban crime patterns. Using geotagged tweets and age structure data in 37 neighborhoods of Szczecin, Poland, we analyzed the following crime types that occurred during 2015–2017: burglary in commercial buildings, drug crime, fight and battery, property damage, and theft. Using negative binomial regression models, we found a positive correlation between the size of the ambient population and all investigated crime types. Additionally, neighborhoods with more immobile populations (younger than 16 or older than 65) tend to experience more commercial burglaries, but not other crime types. This may be related to the urban structure of Szczecin, Poland. Neighborhoods with higher rates of poverty and unemployment tend to experience more commercial burglaries, drug problems, property damage, and thefts. Additionally, the count of liquor stores is positively related to drug crime, fight-battery, and theft. This article suggests that the age structure of the population has an influence on the distribution of crime, thus it is necessary to tailor crime prevention strategies for different areas of the city.https://www.mdpi.com/2220-9964/11/12/581crime analysisgeotagged tweetsambient populationimmobile populationage structure |
| spellingShingle | Natalia Sypion-Dutkowska Minxuan Lan Marek Dutkowski Victoria Williams Different Ways Ambient and Immobile Population Distributions Influence Urban Crime Patterns ISPRS International Journal of Geo-Information crime analysis geotagged tweets ambient population immobile population age structure |
| title | Different Ways Ambient and Immobile Population Distributions Influence Urban Crime Patterns |
| title_full | Different Ways Ambient and Immobile Population Distributions Influence Urban Crime Patterns |
| title_fullStr | Different Ways Ambient and Immobile Population Distributions Influence Urban Crime Patterns |
| title_full_unstemmed | Different Ways Ambient and Immobile Population Distributions Influence Urban Crime Patterns |
| title_short | Different Ways Ambient and Immobile Population Distributions Influence Urban Crime Patterns |
| title_sort | different ways ambient and immobile population distributions influence urban crime patterns |
| topic | crime analysis geotagged tweets ambient population immobile population age structure |
| url | https://www.mdpi.com/2220-9964/11/12/581 |
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