Hotel-casino trip generation analysis using GIS

Reginald R. Souleyrette, Shashi K. Sathisan, Emelinda M. Parentela

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationSite Impact Traffic Assessment
Subtitle of host publicationProblems and Solutions
Number of pages5
StatePublished - 1992
EventProceedings of the Site Impact Traffic Assessment: Problems and Solutions - Chicago, IL, USA
Duration: Jun 8 1992Jun 10 1992

Publication series

NameSite Impact Traffic Assessment: Problems and Solutions


ConferenceProceedings of the Site Impact Traffic Assessment: Problems and Solutions
CityChicago, IL, USA

ASJC Scopus subject areas

  • Engineering (all)


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