TY - GEN
T1 - Hotel-casino trip generation analysis using GIS
AU - Souleyrette, Reginald R.
AU - Sathisan, Shashi K.
AU - Parentela, Emelinda M.
PY - 1992
Y1 - 1992
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:0026477613
SN - 0872628701
T3 - Site Impact Traffic Assessment: Problems and Solutions
SP - 52
EP - 56
BT - Site Impact Traffic Assessment
T2 - Proceedings of the Site Impact Traffic Assessment: Problems and Solutions
Y2 - 8 June 1992 through 10 June 1992
ER -