In and around: Identifying predictors of theft within and near to major mass underground transit systems

Andrew D. Newton, Henry Partridge, Andy Gill

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

This article identifies factors that encourage or reduce pick-pocketing at underground rail stations through a case study analysis of the London Underground. Negative binomial Poisson regression models found predictor variables of pick-pocketing selected from the internal characteristics of stations and features of their nearby surroundings. Factors that increased risk were those associated with greater congestion inside stations including lifts, waiting rooms and fewer platforms; and increased levels of accessibility near stations, more paths and roads. Features that reduced risk were those likely to encourage detection and guardianship; stations with more personal validators, staffing levels and shop rentals; and the presence of more domestic buildings nearby. Station type was also influential; those that were 'attractors' of crime and those frequently used by tourists were at greater risk. The findings suggest a transmission of theft risk between the internal settings of underground stations and their nearby surroundings.

LanguageEnglish
Pages132-146
Number of pages15
JournalSecurity Journal
Volume27
Issue number2
DOIs
Publication statusPublished - 2014

Fingerprint

larceny
staffing level
guardianship
Crime
Rails
tourist
building
offense
road
regression
Theft
Predictors
Factors

Cite this

Newton, Andrew D. ; Partridge, Henry ; Gill, Andy. / In and around : Identifying predictors of theft within and near to major mass underground transit systems. In: Security Journal. 2014 ; Vol. 27, No. 2. pp. 132-146.
@article{f9ea5c8a9f034090be248244486985bb,
title = "In and around: Identifying predictors of theft within and near to major mass underground transit systems",
abstract = "This article identifies factors that encourage or reduce pick-pocketing at underground rail stations through a case study analysis of the London Underground. Negative binomial Poisson regression models found predictor variables of pick-pocketing selected from the internal characteristics of stations and features of their nearby surroundings. Factors that increased risk were those associated with greater congestion inside stations including lifts, waiting rooms and fewer platforms; and increased levels of accessibility near stations, more paths and roads. Features that reduced risk were those likely to encourage detection and guardianship; stations with more personal validators, staffing levels and shop rentals; and the presence of more domestic buildings nearby. Station type was also influential; those that were 'attractors' of crime and those frequently used by tourists were at greater risk. The findings suggest a transmission of theft risk between the internal settings of underground stations and their nearby surroundings.",
keywords = "interstitial crime analysis, pick-pocketing, theft, underground mass transit",
author = "Newton, {Andrew D.} and Henry Partridge and Andy Gill",
year = "2014",
doi = "10.1057/sj.2014.2",
language = "English",
volume = "27",
pages = "132--146",
journal = "Security Journal",
issn = "0955-1662",
publisher = "Palgrave Macmillan Ltd.",
number = "2",

}

In and around : Identifying predictors of theft within and near to major mass underground transit systems. / Newton, Andrew D.; Partridge, Henry; Gill, Andy.

In: Security Journal, Vol. 27, No. 2, 2014, p. 132-146.

Research output: Contribution to journalArticle

TY - JOUR

T1 - In and around

T2 - Security Journal

AU - Newton, Andrew D.

AU - Partridge, Henry

AU - Gill, Andy

PY - 2014

Y1 - 2014

N2 - This article identifies factors that encourage or reduce pick-pocketing at underground rail stations through a case study analysis of the London Underground. Negative binomial Poisson regression models found predictor variables of pick-pocketing selected from the internal characteristics of stations and features of their nearby surroundings. Factors that increased risk were those associated with greater congestion inside stations including lifts, waiting rooms and fewer platforms; and increased levels of accessibility near stations, more paths and roads. Features that reduced risk were those likely to encourage detection and guardianship; stations with more personal validators, staffing levels and shop rentals; and the presence of more domestic buildings nearby. Station type was also influential; those that were 'attractors' of crime and those frequently used by tourists were at greater risk. The findings suggest a transmission of theft risk between the internal settings of underground stations and their nearby surroundings.

AB - This article identifies factors that encourage or reduce pick-pocketing at underground rail stations through a case study analysis of the London Underground. Negative binomial Poisson regression models found predictor variables of pick-pocketing selected from the internal characteristics of stations and features of their nearby surroundings. Factors that increased risk were those associated with greater congestion inside stations including lifts, waiting rooms and fewer platforms; and increased levels of accessibility near stations, more paths and roads. Features that reduced risk were those likely to encourage detection and guardianship; stations with more personal validators, staffing levels and shop rentals; and the presence of more domestic buildings nearby. Station type was also influential; those that were 'attractors' of crime and those frequently used by tourists were at greater risk. The findings suggest a transmission of theft risk between the internal settings of underground stations and their nearby surroundings.

KW - interstitial crime analysis

KW - pick-pocketing

KW - theft

KW - underground mass transit

UR - http://www.scopus.com/inward/record.url?scp=84899529689&partnerID=8YFLogxK

U2 - 10.1057/sj.2014.2

DO - 10.1057/sj.2014.2

M3 - Article

VL - 27

SP - 132

EP - 146

JO - Security Journal

JF - Security Journal

SN - 0955-1662

IS - 2

ER -