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Introduction to the Special Issue: Urban Mobility and Crime Patterns
This Special Issue is a collection of seven papers that seek to better our understanding of how urban mobility relates to crime patterns, and how day to day movement of people in urban spaces (urban mobility) is related to spatio-temporal patterns of crime. It focusses on urban mobility, or the dyna...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594641/ https://www.ncbi.nlm.nih.gov/pubmed/34803232 http://dx.doi.org/10.1007/s10610-021-09501-7 |
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author | Newton, Andrew Felson, Marcus Bannister, Jon |
author_facet | Newton, Andrew Felson, Marcus Bannister, Jon |
author_sort | Newton, Andrew |
collection | PubMed |
description | This Special Issue is a collection of seven papers that seek to better our understanding of how urban mobility relates to crime patterns, and how day to day movement of people in urban spaces (urban mobility) is related to spatio-temporal patterns of crime. It focusses on urban mobility, or the dynamic movement of people in relation to crime risk. Moreover, it questions how to best measure this risk using an appropriate crime denominator. Building on the work of Sarah Boggs, this special issue contends that we need more than an appropriate denominator related to the type of crime we are measuring, for example violence based on the number of potential victims present (the exposed or ambient population), or the number of burglaries per households in an area, or the number of shoplifting offences per number of shops present. It argues that this denominator needs to be both ‘crime type’ appropriate, and to be spatially and temporally appropriate. When considering urban mobility as flows of people, the challenge is that the denominator can not be considered as a fixed or static concept, and that we need to consider the ‘dynamic denominator’ challenge. Indeed, crime hot spots which do not account for dynamic denominators may be misleading for resource prioritisation. This special issue explores a range of potential solutions to this including mobile/cell phone data, transportation data, land use data, and other possible measures to address this. |
format | Online Article Text |
id | pubmed-8594641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-85946412021-11-16 Introduction to the Special Issue: Urban Mobility and Crime Patterns Newton, Andrew Felson, Marcus Bannister, Jon Eur J Crim Pol Res Article This Special Issue is a collection of seven papers that seek to better our understanding of how urban mobility relates to crime patterns, and how day to day movement of people in urban spaces (urban mobility) is related to spatio-temporal patterns of crime. It focusses on urban mobility, or the dynamic movement of people in relation to crime risk. Moreover, it questions how to best measure this risk using an appropriate crime denominator. Building on the work of Sarah Boggs, this special issue contends that we need more than an appropriate denominator related to the type of crime we are measuring, for example violence based on the number of potential victims present (the exposed or ambient population), or the number of burglaries per households in an area, or the number of shoplifting offences per number of shops present. It argues that this denominator needs to be both ‘crime type’ appropriate, and to be spatially and temporally appropriate. When considering urban mobility as flows of people, the challenge is that the denominator can not be considered as a fixed or static concept, and that we need to consider the ‘dynamic denominator’ challenge. Indeed, crime hot spots which do not account for dynamic denominators may be misleading for resource prioritisation. This special issue explores a range of potential solutions to this including mobile/cell phone data, transportation data, land use data, and other possible measures to address this. Springer Netherlands 2021-11-16 2021 /pmc/articles/PMC8594641/ /pubmed/34803232 http://dx.doi.org/10.1007/s10610-021-09501-7 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Newton, Andrew Felson, Marcus Bannister, Jon Introduction to the Special Issue: Urban Mobility and Crime Patterns |
title | Introduction to the Special Issue: Urban Mobility and Crime Patterns |
title_full | Introduction to the Special Issue: Urban Mobility and Crime Patterns |
title_fullStr | Introduction to the Special Issue: Urban Mobility and Crime Patterns |
title_full_unstemmed | Introduction to the Special Issue: Urban Mobility and Crime Patterns |
title_short | Introduction to the Special Issue: Urban Mobility and Crime Patterns |
title_sort | introduction to the special issue: urban mobility and crime patterns |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594641/ https://www.ncbi.nlm.nih.gov/pubmed/34803232 http://dx.doi.org/10.1007/s10610-021-09501-7 |
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