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

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• Public transportation score obta<strong>in</strong>ed from “Places Rated Almanac” publicationwas marg<strong>in</strong>ally significant.• <strong>Urban</strong> Tourism Market<strong>in</strong>g plays an important role <strong>in</strong> attract<strong>in</strong>g more tourists.Tourism market<strong>in</strong>g contributes to the <strong>in</strong>crease <strong>in</strong> visits across 33 cities <strong>in</strong>cluded <strong>in</strong>the sample.• Tourists want to be enterta<strong>in</strong>ed. For example, the comb<strong>in</strong>ation <strong>of</strong> cas<strong>in</strong>os withamusement parks and specific structures (i.e. Statue <strong>of</strong> Liberty or CN Tower)supports the argument that tourist wants to be enterta<strong>in</strong>ed.• Quality shopp<strong>in</strong>g is an important part <strong>of</strong> the tourism experience. Quality-ratedshopp<strong>in</strong>g areas expla<strong>in</strong> more variation <strong>in</strong> visits than total count <strong>of</strong> this type <strong>of</strong>attractions.Regression-Specific ConclusionsIn this section, Global Insight addresses the regression-specific results for fiveeconometric models.Model 1: In Model 1, the number <strong>of</strong> visits was regressed on the number <strong>of</strong> popularenterta<strong>in</strong>ment types <strong>of</strong> attractions with the one-star rat<strong>in</strong>g, the number <strong>of</strong> shopp<strong>in</strong>g areaswith the one-star rat<strong>in</strong>g, and the number <strong>of</strong> hotel rooms. The adjusted R 2 for this model is69%. For more details about this model see Technical Appendix Section B. The ma<strong>in</strong>conclusions <strong>of</strong> this model are as follows:• On average across all cities, by build<strong>in</strong>g a one-star attraction from a popularenterta<strong>in</strong>ment category, the number <strong>of</strong> visitors will <strong>in</strong>crease by 600,000.• On average across all cities, by build<strong>in</strong>g a one-star shopp<strong>in</strong>g area, the number <strong>of</strong>visitors will <strong>in</strong>crease by 1.15 million.• On average across all cities, by <strong>in</strong>creas<strong>in</strong>g the number <strong>of</strong> hotel rooms by 100, thenumber <strong>of</strong> visitors will <strong>in</strong>crease by 10,000.• Comb<strong>in</strong>ation <strong>of</strong> one-star attractions from the popular enterta<strong>in</strong>ment category withone-star shopp<strong>in</strong>g areas supports the argument that tourists want to beenterta<strong>in</strong>ed.• Quality-rated shopp<strong>in</strong>g areas and attractions from the popular enterta<strong>in</strong>mentcategory expla<strong>in</strong> more variation <strong>in</strong> visits than total count <strong>of</strong> these types <strong>of</strong>attractions.• Cluster<strong>in</strong>g <strong>of</strong> attractions is important. Comb<strong>in</strong>ation <strong>of</strong> quality-rated shopp<strong>in</strong>gareas and attractions from the popular enterta<strong>in</strong>ment category produces higheradjusted R 2 than these types <strong>of</strong> attractions taken <strong>in</strong>dividually.• Infrastructure is important <strong>in</strong> expla<strong>in</strong><strong>in</strong>g tourist visitations s<strong>in</strong>ce hotel roomcount was statistically significant.Model 2: In Model 2, the number <strong>of</strong> visits was regressed on the number <strong>of</strong> popularenterta<strong>in</strong>ment types <strong>of</strong> attractions with the two-star rat<strong>in</strong>g and the number <strong>of</strong> hotel rooms.22

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