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COE Road Fund Efficiency Review
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COE Road Fund Efficiency Review
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Last modified
5/28/2010 12:54:13 PM
Creation date
11/18/2008 12:49:52 PM
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Template:
PW_Operating
PW_Document_Type_ Operating
Reports
Fiscal_Year
2001
PW_Division
Maintenance
GL_Fund
131
GL_ORG
9410
External_View
No
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Method of evaluation <br /> The search for efficiency usually starts with the uncertainty that arises from increased <br /> costs for governmental services. The question usually asked is, "have our costs gotten <br /> out of hand?" The next question usually is, "how do we compare to other similar <br /> cities?" After that is done the question is usually, "why are our costs so different?" <br /> <br /> 'I, Therefore, Comparable cities were chosen to compare costs with Eugene's costs for road <br /> r maintenance services. That analysis is done to determine two things. First, are Eugene's <br /> costs similar to other cities for similar services? Second, are there things that other cities <br /> are doing more efficiently or more effectively that could be copied in Eugene? <br /> As explained in the following sections, comparable city data has limitations. Therefore, <br /> j each function is analyzed to compare measurable outputs with budget inputs to arrive at a <br /> cost per unit produced, where possible. Eugene has some measured outputs and other <br /> cities have some measured outputs but seldom aze they the same. When possible this <br /> 1 efficiency measure will be compared to private contractors doing the same work. <br /> There is very little data available at this level so the analysis focuses on what to measure <br /> in the future and which functions to monitor more closely for the future. Each cost factor <br /> such as labor, materials and methods has been evaluated to determine the potential for <br /> savings. The final method of analysis is expert opinion. <br /> Benchmarking? <br /> r <br /> The cities chosen for comparison were all about the same population and roadway <br /> network size. This was done for several reasons. First, comparing with other similar <br /> sized cities means that the overall work outputs will be similar so that comparing costs <br /> per mile or per capita provides an approximate efficiency comparison. Such a <br /> comparison assumes a lot. <br /> As we'll see, even cities that seem similar don't provide similar levels of service or even <br /> the same services in some cases. The cities were also chosen because they have similar <br /> reputations for being progressive providers of <br /> °lo D~vntime government service. Calling this a form of <br /> 7^~ iRi~r~i Benchmarking should be done with caution. <br /> 5~ ~7r~nd,' peers Choosing the right cities to compare with depends on <br /> what you're trying to accomplish as shown in the <br /> example chart. Calling the comparison cities the best <br /> s~~ ~ <br /> o <br /> m#ry in class only means they have a good reputation. It <br /> ,~9 ae$c.n cfa5s * doesn't mean they provide the lowest cost service. <br /> No one knows who provides the lowest cost service <br /> ,.__u__.. , a <br /> '~~2 because such an analysis hasn't been done yet. <br /> 8 <br /> _ _ _ <br /> <br />
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