TY - JOUR
T1 - Engineering management models for urban security
AU - Muaafa, Mohammed
AU - Ramirez-Marquez, Jose Emmanuel
N1 - Publisher Copyright:
© 1988-2012 IEEE.
PY - 2017/2
Y1 - 2017/2
N2 - The allocation of limited yet costly police resources is a daily dilemma for police commanders. More than 50% of police department costs go into patrolling operations, which include responding to emergencies and maintaining police presence in patrolling areas. This research aims to address the managerial challenges and tradeoffs that police commanders face when designing patrolling strategies: lessening the economic burden of crime prevention and maintaining high levels of public safety. The proposed framework is implemented through a mathematical framework and simulation to obtain the best patrolling strategies for the Seattle Police Department, and the simulation results show that patrol performance can be improved using the proposed framework.
AB - The allocation of limited yet costly police resources is a daily dilemma for police commanders. More than 50% of police department costs go into patrolling operations, which include responding to emergencies and maintaining police presence in patrolling areas. This research aims to address the managerial challenges and tradeoffs that police commanders face when designing patrolling strategies: lessening the economic burden of crime prevention and maintaining high levels of public safety. The proposed framework is implemented through a mathematical framework and simulation to obtain the best patrolling strategies for the Seattle Police Department, and the simulation results show that patrol performance can be improved using the proposed framework.
KW - Crimes
KW - evolutionary algorithm
KW - heuristics
KW - multi-objective optimization
KW - patrolling strategies
KW - police
KW - urban security
UR - http://www.scopus.com/inward/record.url?scp=85007350723&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85007350723&partnerID=8YFLogxK
U2 - 10.1109/TEM.2016.2634119
DO - 10.1109/TEM.2016.2634119
M3 - Article
AN - SCOPUS:85007350723
SN - 0018-9391
VL - 64
SP - 29
EP - 41
JO - IEEE Transactions on Engineering Management
JF - IEEE Transactions on Engineering Management
IS - 1
M1 - 7797517
ER -