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3.7. Summary <br />Section 3 reviewed the results of the condition survey in the City. The PCI scale was explained through a <br />series of pavement photographs that were taken during the 2021 survey. The section then described <br />each of the four functional classifications in the City and outlined their respective conditions on the PCI <br />scale. The section concluded with a discussion on the overall pavement condition distribution in the City <br />and some useful charts that help put the survey results into perspective. The network average PCI in <br />the City is 73 with a backlog of 2%. <br />4.0 REHABILITATION PLAN AND BUDGET DEVELOPMENT <br />4.1. Foreword <br />This section discusses the results of the pavement management analysis that was performed using the <br />Lucity pavement management system. First is an overview of the assumptions that were used when <br />implementing the system. Some of these include the development of accurate unit rates, and the <br />selection methodology for rehabilitation candidates. Next, in 4.3, the results of each of the various <br />budget runs is detailed, along with their predicted conditions. This is highlighted further through a series <br />of charts that are used to demonstrate the advantages and disadvantages of various funding models. <br />Finally, the City's selected budget is presented through a map and chart outlining the 6-year projected <br />condition. <br />4.2. Key Analysis Set Points and Assumptions <br />Pavement management analysis requires user inputs to complete its condition forecasting and <br />prioritization. A series of operating parameters were developed to create an efficient program that is <br />tailored to the City's needs and goals. <br />Selecting Segments for Rehabilitation <br />The selection of rehabilitation candidates through a worst first approach or subjective committee input <br />is neither efficient nor cost effective. A series of criteria must be established and their importance in the <br />selection process determined. Lucity has defined commonly used criteria within the program that allows <br />different weighting factors to be applied depending on the City's goals. <br />• PCI — As mentioned earlier in this section the results of the pavement condition survey are used to <br />generate a Pavement Condition Index that ranges from 0-100 where 0 is considered the worst and 100 <br />the best. This factor can be given a higher weight to give greater priority to poor condition streets. <br />• Cost of Deferral — As time passes a pavement will deteriorate and require more costly repairs as it <br />ages. Lucity can be configured to prioritize streets nearing the point where this cost increase occurs. <br />• Pavement Strength —Through the use of deflection testing or the prevalence of load associated <br />distresses the relative strength of a pavement can be determined. A prioritization factor can be <br />applied that gives preference to streets that may deteriorate faster in order to apply more cost- <br />effective rehabilitation early in the life cycle. <br />IMS Pavement Management Report Louisville, CO 2022 Page 1 27 <br />