Planning and preparation in anticipation of urban emergency incidents are critical because of the alarming extent of the damage such incidents cause as well as the sheer frequency of their occurrence. Incident response is typically optimized as part of designing ERS pipelines but can have a high variance depending upon the location of the first responders, other incidents in the call chain, the severity of the call, traffic conditions, and weather conditions. Our research on algorithmic approaches to ERS spanning the past six years has developed proactive stationing and principled dispatch strategies to reduce the overall response times. The system depends upon incident data, temporal data (weather and traffic), and static roadway data and has to contend with changes in incident distributions and communication failures.