Mexico has experienced a drastic insecurity environment in the last decade due to multiple national and international factors. In this regard, public safety Emergency Response Systems (ERS) have the potential of effectively combat and deter crime through rapid and coordinated strategies. Utilizing stochastic simulation, our research focuses on determining an ideal number of police patrols to be allocated to a public safety Emergency Response System (ERS) in order to comply with a maximum international reference response time as a strategy to deter and combat crime in a large city in Mexico. The city´s ERS is composed by eight police districts, and this research incorporates the analysis of only half of the 7th police district to previously published results of six districts, given that this particular district is integrated by eight police quadrants, as opposed to only four adjacent quadrants found in a regular police district. Simulation scenarios include actual and proposed operating strategies of a police quadrant considering one dedicated patrol per patrolling zone plus an additional number of back up patrols. Results identify a feasible level of ideal back up patrols in all evaluated police districts. Recommendations are provided to reconsider redistricting strategies to assist the patrol deployment strategy.