z-logo
open-access-imgOpen Access
Exploring the conditional effects of bus stops on crime
Author(s) -
Thomas D. Stucky,
Sarah L. Smith
Publication year - 2014
Publication title -
security journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 23
eISSN - 1743-4645
pISSN - 0955-1662
DOI - 10.1057/sj.2014.16
Subject(s) - geocoding , socioeconomic status , negative binomial distribution , grid cell , public transport , school bus , transport engineering , demographic economics , geography , engineering , grid , statistics , economics , demography , sociology , mathematics , population , remote sensing , geodesy , poisson distribution
Author's manuscript made available in accordance with the publisher's policy.Public transportation is a major element of social life in most cities, and the most common mode of public transportation is busing. This study examines whether bus stops are a robust predictor of crime, net of other factors, and whether the effect of bus stops on crime is conditioned by socioeconomic and land use factors. We use geocoded Indianapolis crime and bus stop data for 2010 to predict crime counts in 500-feet × 500-feet square grid cells, using negative binomial models. Net of other factors, bus stops are associated with variation in counts of Uniform Crime Reports reported rape, robbery, aggravated assault, burglary and larceny in a cell. In addition, the effect of bus stops on crime was conditioned by land use characteristics. In particular, the effect of bus stops on crime was greater in commercial and industrial areas, but dampened in areas with high-density residential housing

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom