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- W1520731395 abstract "Trip rates and models for developments such as resorts and major hotels are commonly based on a single explanatory factor or an activity unit such as floor area, number of employees, number of rooms, etc. While useful, these ignore the combined effects of a number of variables. To improve the explanation of variances between predicted and observed trips, multi-variate analysis can be performed, thus estimating the resulting trips if the effects of several variables are considered together. Spatial interactions (agglomeration effects) between existing hotel-casinos can be accounted for through proximity analysis, an exploratory part of this research which utilized a Geographic Information System (GIS) to determine derived independent variables." @default.
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- W1520731395 date "1992-01-01" @default.
- W1520731395 modified "2023-09-27" @default.
- W1520731395 title "Hotel-Casino Trip Generation Analysis Using GIS" @default.
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