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Retail Mixed Use Market Study Update 1 January 6, 2010 <br /> BUYING POWER ANALYSIS <br /> This section provides an estimate of retail demand generated by those who live and work around <br /> Hacienda. Employee and residential demand are calculated separately, to account for the different <br /> spending patterns of each consumer group. Buying power findings are then aggregated in the Retail <br /> Demand Summary, which includes estimates for future demand generated by low growth and high <br /> growth employment and residential scenarios. <br /> Employee Buying Power <br /> This analysis estimates the retail demand generated by the approximately 15,900 office, research and <br /> development (R &D) and flex employees working in Hacienda, and predicts the potential demand <br /> generated under two future employment growth scenarios. In addition to office, R &D and flex <br /> employees, there are approximately 1,900 employees in Hacienda working in retail jobs. The <br /> spending of these employees is not analyzed, due to a lack of comparable information on retail <br /> employee spending patterns. However, it can be assumed that these employees will generate some <br /> additional retail demand. <br /> Office Worker Buying Power Methodology <br /> For this report, the retail demand model used in the 2005 study was updated to reflect inflation and <br /> 2009 employment and occupancy rates. This model estimates the gross square feet of retail space that <br /> can be supported by Hacienda office, R &D and flex employees. First, the annual retail demand <br /> generated by park employees is derived from employee spending pattern data and current <br /> employment figures. Demand is estimated by retail category, within the umbrella categories of <br /> "Prepared Food" and "Retail Before /During /After Work." The "Retail Before /During/After Work" <br /> category includes retail spending throughout the work day, in addition to immediately before and <br /> after work. In ordcr to translate demand into actual supportable square feet of retail space, annual <br /> expenditures are divided by typical annual sales per square foot per type of retail outlet. This same <br /> model is used to assess the potential retail demand generated by two additional employment <br /> scenarios. This section describes the assumptions, employment scenarios and retail categories used in <br /> this analysis. <br /> Office Worker Spending Patterns <br /> The office worker spending information used in this report was obtained from Office Worker <br /> Spending Patterns 2004, published by the Intemational Council of Shopping Centers. For this study, <br /> the most recent of its kind, the ICSC conducted a survey of 1,500 suburban and downtown office <br /> workers regarding their workday expenditures during the week prior to a phone interview in October <br /> of 2003. Figures used in this analysis are based upon the interviews conducted with the "suburban" <br /> sample; 500 suburban office workers from around the country. This information is inclusive of <br /> employees at different wage levels, and is therefore applied to office, R &D and flex workers. For the <br /> 2009 analysis, the 2004 estimates of employee spending are adjusted to account for inflation. <br /> Sales Data <br /> Assumptions regarding sales per square foot by type of retail establishment and overall square <br /> footage per establishment are based on information from several sources: 2009 -2010 Retail Store <br /> Taxable Sales Estimates, prepared for the City of Pleasanton by the HDL Companies; the Dollars and <br /> Cents of Shopping Centers; the Intemational Association of Shopping Centers; and Strategic <br /> Economics professional experience. <br /> Employment Scenarios <br /> Three different employment scenarios (Table 1) are analyzed to reflect three different levels of park <br /> employment: 1) mid -2009 employment (reflecting an occupancy rate of 79 percent), 2) current built <br /> -15- <br />