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<br /> ~""",,~ . ""~ - "_........."'''','"',c,,.,"'' ~'~"'.' "".; '~.:. .;f.tt"'lr~ii1'i!t."'.';.{"v', <''''Y',''c'','':c'::,-,., ,,'t\. <br /> "' <br /> 15.\.~-20 <br /> 2. Water Use Drivers <br /> Data drivers for each water use sector are defin~ in Exhibit 3. <br /> Exhibit 3. Water Use Drivers by Sector <br /> Water Use Sector Water Use Driver Source <br /> Single Family Number of single family awe Housing Element, <br /> dwellin units 1999~2006 <br /> Multiple Family Number of multi pie family RWe Housing Element, <br /> dweUin uniu 1999-2006; RWeplannin <br /> Commercial Number of ABAG <br /> , Commercial Irri Number of ABAO <br /> Government P ulation ABAG <br /> Other P mation ABAG <br /> Residential Irrigation Number of multiple family RWe Housing Element. <br /> dwell' units 1999-2006' RWe PIannin <br /> The values of these data drivers are shown in Appendix A in 5~year increments over 1he <br /> forecast period. These dwelling unit.. employee, andpopuJation estimates are the best <br /> current infOImation available. They can and should bellpdated as cxpec;tatioIlS offuture <br /> circumstances change. , <br /> FOT the single-family residential class, dwelling uniu are segmented into six categories <br /> based on the year the dwelling unit was COIlSttUcted. Water use patterns are known to <br /> vary with vintage based on factors such as water EIX1:ure efficiency and size of landscape. <br /> W c obtained year built by obtaining tax assessor information from San Mateo County <br /> and linking this information with the water use billing data via parcel number. We <br /> defined. the categories, partly, to match the years associated with key plumbing code <br /> changes. <br /> For the multiple-family residential class, dwelling units are segmented into three <br /> categories based on the number of dwelling units at a site. The categories include homes <br /> with 2 to 4, 5 to 25, and over 2S dwelling units. Water use patterns are known to vary <br /> with the number of units at a site based on factors relating to demographics and <br /> landscaping. We were not able to obtain year built information for each account in this <br /> sector. <br /> 3. Water Use Coefficients <br /> The water use coefficients are based on analysis of historical water use billing records. <br /> The coefficients mirror the water use driver framework. We investigated adjusting the <br /> coefficienu for weather, water prices, and water conservation technologies. The sections <br /> below describe how the coefficients are adjusted for each. <br /> Page 4 <br /> - --~ <br />