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deducted. The end result is a forecast of the number of new rooms that could be supported over each of the next five years, given all these assumptions. We see that, at the end of five years, 731 additional rooms could be supported at an average occupancy of 70 percent. Note, also, that the rooms-required figures in the right-hand column are cumulative. To reduce risk we might want to assume that a 75 percent, rather than a 70 percent, occupancy should be used. In that case, the year-by-year demand figures would be divided by 75 percent, resulting in a reduced number of additional rooms per year that the market could support. However, before the supply/demand analysis is finalized and a recommendation is made about the size of property to be planned, some other factors might need to be considered. For example, if any of the existing competitive facilities are expected to be removed from the market (demolished or converted to some other use), the supply figures should be adjusted accordingly. Similarly, if any information is available about other proposed competitive hotels in the area, this should be adjusted for in the future supply figures. Finally, the decision about whether to build should not be based on numbers alone. Frequently, two adjacent, competitive hotels, motels, or restaurants will have vastly different demands for their products. There are many nonquantifiable factors that cause this to be so, such as atmosphere, quality of decor, management, and staff training, to name only a few. c# pdf 417 reader C# PDF-417 Reader SDK to read, scan PDF-417 in C#.NET class ...
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