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Station Location, Apparatus, and SEaffing Analysis Roseville, MN Typicaily, incident densities (i.e., the number of in.cidents that occur within various parts of thc city) are generated by geocoding their addresses/locations. However, infornaation regarding incident locations was not available in CAD data provided by the city of Roseville, which precluded the examination of incident densities for tlus analysis. Response Time Analysis The fizst step in the deployment analysis was a review of department-widc response times. Response time is the total elapsed time between an individual dialing 911 and emergency service personnel arriving at the scene. Response iimes can be broken down into mul�iple segments for analysis: call processing, dispatch, turnout, travel, and the overall (total) tune taken to arrive at the incident. As no1.ed, RFD provided twelve months of CAD data for the 2007 calendar year. In some cases, there were obvious errors {e.g. the unit arrived before the call was made). They were excluded fro�n the dataset used in the analysis. In addition, outliers that were rnore than three standard deviations from the mean were eliminated. If response times have a normal distribution, 99.7 percent of incidents are expected to fall within three standard devia�ions, and the 0.3 percent of incidents that was excluded from the response time analysis likely contains errors. Cal1 Processing and Dispatch Tirne — Call processing time includes the time to get information from the caller (i.e., call initiation) and enter it into the dispatch system record. This is measured from the time the call is received to the time the call is transferred to a dispatcher. Dispatch time begins when the 9i 1 call is transferred from the call taker to a dispatcher and continues until units are alerted to respond. Many jurisdictions consider call processing and dispatch together as a single time se�nent. Data for call initiation times was not easily procured by RFD, making it difficult to calculate the call processing time interval. To address this challenge call processing times are extrapolated from St. Paul Minnesota Fire Department's call processing times that were calcuIated in a previous TriData study conducted in 2005 as they belong to the same dispatch center as RFD. RFD and St. Paul Minnesota Fire Deparhnent call processing times are largely similar. The overall call processing times at the 90'�' percentile for all responding units and call types was 1 minute, 1 second and an average of 32 seconds. When broken down by call type, EMS calls were processed and dispatched more quickly than fire calls, meeting the recommended goal of 1 minute 90 percent of the time. Fire call processing and dispatch times were slightly higher than the 1 minute goal, with 1 rninute 9 seconds at the 90�' percentile. Nevertheless, overall call processing and dispatch times for both types of calls are extxemely good. System Planning Corporation 9 May 20Q8 TriData Division