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Factors Influencing Visitor's Choices of Urban Destinations in North ...

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expla<strong>in</strong> city visitations. Consequently, Global Insight focused on a series <strong>of</strong> models thatemploy several attraction count methodologies. It was gratify<strong>in</strong>g that all three measures<strong>of</strong> attraction count yielded generally consistent results.Number <strong>of</strong> AttractionsThe first type <strong>of</strong> attraction count was a simple measure <strong>of</strong> the number <strong>of</strong> attractions:Visitors city = F (# <strong>of</strong> Attractions city ) (1)This specification postulates a direct relationship between attractions and the number <strong>of</strong>visits. As the number <strong>of</strong> tourist attractions <strong>in</strong>creases, the number <strong>of</strong> visits will also<strong>in</strong>crease. This formula was used to estimate an <strong>in</strong>dividual relationship between touristvisits and each attraction category, sub-category, and types <strong>of</strong> attractions us<strong>in</strong>g theattractions matrix.Normalized AttractionsThe second type <strong>of</strong> attraction count normalized the attraction count by city population <strong>in</strong>order to reduce the <strong>in</strong>fluence <strong>of</strong> a city’s size or population <strong>in</strong> determ<strong>in</strong><strong>in</strong>g visitor counts:Visitors city = F (# <strong>of</strong> Attractions city / Population city ) (2)The count <strong>of</strong> attractions is <strong>of</strong>ten affected by the population size <strong>of</strong> the MSA or CMA. Forexample, the total count <strong>of</strong> attractions <strong>in</strong> New York is close to 300 and the populationbase is about 9.5 million, while the attractions count <strong>in</strong> Edmonton is 60 with thepopulation size close to 1 million.To correct for the population bias, the first equation was normalized by the populationsize. In the new equation, there is a direct relationship between the attractions count percapita and the number <strong>of</strong> visits. Therefore, as the number <strong>of</strong> attractions per capita<strong>in</strong>creases, the number <strong>of</strong> visits will also <strong>in</strong>crease.Normalized Share <strong>of</strong> AttractionsThe third type <strong>of</strong> attraction count measures shares <strong>of</strong> both visitors and normalizedattractions:Visitors city / Visitors NA = F ( # <strong>of</strong> Attractions city / # <strong>of</strong> Attractions NA ) (3)(Population city / Population NA )This formula is a location quotient that measures the percentage <strong>of</strong> a total attraction count<strong>in</strong> a particular city compared to the <strong>North</strong> American (NA) total count <strong>of</strong> attractionsdivided by the percentage <strong>of</strong> total population <strong>in</strong> this city compared to the total <strong>North</strong>American population. It is important to note that the left-hand side <strong>of</strong> this equation isslightly different from two previous notations. This time the left-hand side measures thenumber <strong>of</strong> visits to a particular city compared to the total number <strong>of</strong> visits to <strong>North</strong>America.This measure is a ratio. If the value <strong>of</strong> this ratio is greater than one, this shows that aparticular city has a greater share <strong>of</strong> attractions than the <strong>North</strong> American average, while a16

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