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

• Quality-rated amusement parks, specific structures and shopping areas explainmore variation in visits than total count of these types of attractions.• Clustering of attractions is important. Combination of amusement parks, specificstructures and shopping areas produces higher adjusted R 2 than these types ofattractions taken individually.• Infrastructure is important in explaining tourist visitations since hotel roomcount was statistically significant.Model 5B 16 : In Model 5B, the number of visits was regressed on the number ofamusement parks with the three-star rating, the number of specific structures with thethree-star rating, the number of shopping areas with the three-star rating, the number ofhotel rooms and the population density. The adjusted R 2 for this model is 90%. For moredetails about this model see Technical Appendix Section B. The main conclusions of thismodel are as follows:• On average across all cities, by building one three-star specific structure, thenumber of visitors will increase by 1.14 million.• On average across all cities, by building one three-star amusement park, thenumber of visitors will increase by 4.96 million.• On average across all cities, by building one three-star shopping area, the numberof visitors will increase by 610,000.• On average across all cities, by increasing the number of hotel rooms by 100, thenumber of visitors will increase by 9,100.• On average across all cities, by increasing population density by one person perkm 2 , the number of visitors will increase by 80,000.• Combination of amusement parks with specific structures (i.e. Statue of Liberty orCN Tower) and shopping areas supports the argument that tourists want to beentertained.• Quality-rated amusement parks, specific structures and shopping areas explainmore variation in visits than total count of these types of attractions.• Clustering of attractions is important. Combination of amusement parks, specificstructures and shopping areas produces higher adjusted R 2 than these types ofattractions taken individually.• Infrastructure is important in explaining tourist visitations since hotel roomcount was statistically significant.• The population density variable corrects for bias in residuals of all eightCanadian cities and improves adjusted R 2 . Please see Residuals Section of thereport for more information.16 This is model 5 with the addition of the population density variable.26