TY - GEN
T1 - Guns of Brixton
T2 - 2nd International Conference on IoT in Urban Space, Urb-IoT 2016
AU - Venerandi, Alessandro
AU - Quattrone, Giovanni
AU - Capra, Licia
PY - 2016/5/24
Y1 - 2016/5/24
N2 - Previous works in architecture and social science found that aspects of the built environment such as density, connectivity, and house typologies are related to crime. However, these studies are qualitative, and thus hardly repeatable at larger scales. In this work, we overcome this limitation by offering a quantitative approach that explores the relationship between the configuration of the built environment and the activity of criminal groups in city areas. The method extracts a wide set of metrics related to aspects of urban form from openly accessible datasets. We then input these metrics in a step-wise logistic linear model, using presence of gang activity as dependent variable, and obtain a parsimonious model with an excellent fit when applied to the metropolitan area of London, UK. We then use values and slopes of model coefficients to build a narrative of the typical city area characterized by gang activity, re-connecting to previous theories. Outcomes of this research can help policy makers and architects in better understanding the relationship between neighborhood design and criminal activity.
AB - Previous works in architecture and social science found that aspects of the built environment such as density, connectivity, and house typologies are related to crime. However, these studies are qualitative, and thus hardly repeatable at larger scales. In this work, we overcome this limitation by offering a quantitative approach that explores the relationship between the configuration of the built environment and the activity of criminal groups in city areas. The method extracts a wide set of metrics related to aspects of urban form from openly accessible datasets. We then input these metrics in a step-wise logistic linear model, using presence of gang activity as dependent variable, and obtain a parsimonious model with an excellent fit when applied to the metropolitan area of London, UK. We then use values and slopes of model coefficients to build a narrative of the typical city area characterized by gang activity, re-connecting to previous theories. Outcomes of this research can help policy makers and architects in better understanding the relationship between neighborhood design and criminal activity.
KW - open data
KW - quantitative analysis
KW - urban form
UR - http://www.scopus.com/inward/record.url?scp=84985986995&partnerID=8YFLogxK
U2 - 10.1145/2962735.2962750
DO - 10.1145/2962735.2962750
M3 - Conference contribution book
AN - SCOPUS:84985986995
T3 - ACM International Conference Proceeding Series
SP - 22
EP - 28
BT - Urb-IoT 2016 - 2nd International Conference on IoT in Urban Space, Conference Proceedings
CY - New York
Y2 - 24 May 2016 through 25 May 2016
ER -