Tourist Season. presented by Thomas Hill, Florida Department of Transportation. October 19, 2017

Transcription

1 Tourist Season presented by Thomas Hill, Florida Department of Transportation October 19, 2017

2 Outline Introduction Tourist Component to the FLSWM Data Collection and Verification Process Next Steps Project Recognition: University of Florida, Department of Tourism Daniel Fesenmaier, Ph.D. Laurie Pennington-Gray, Ph.D. Jin-Won Kim, Ph.D.

3 Introduction Florida is the Top Tourism Destination in the World 106 Million Visitors in Million People Employed by Tourism Industry Contributes $89 Billion to State Economy Of all trips greater than 50 miles, 56% are for pleasure purposes - NHTS More Advanced Tools Needed to Forecast Visitor Trips and their Impact to Florida s Transportation System

4 Introduction Previous iterations of the FLSWM contained a tourist trip generation model Utilized and applied growth factors to 2000 Florida Visitor Study s daily in-state trips Florida Residents visiting within Florida Florida Residents visiting other States Residents of other states visiting Florida Canadians

5 Introduction Highlights of tourism Florida s strategic location 663 miles of beach Access to Central and South America Theme parks Largest cruise industry in the world Florida Tourism Travel Demand Framework Modeling process for a more robust component to the FLSWM Where to start? Data.

6 Data Collection and Verification Collected 173,000 spatially discrete tourist origins and destinations. Also collected polygon shapes and line data Organized into 92 geographic data types: 8 origins, 84 destinations.

7 Data Collection Used NAICS Codes for defining the data framework Selection of tourist O/D was based on a comprehensive review of resources. Accessed internet databases (e.g., FGDL) Additional use of a web crawler through tourist websites (e.g., Booking.com)

8 Tourist Origins Eight origins were identified using NAICS codes Lodging Features Type of Data Source Date Hotel 8,348 Address, Point STR, UFGC, WS 2014 Motel 3,906 Address, Point STR, UFGC 2014 Bed and Breakfast 258 Address, Point UFGC, SSL 2011 Airbnb 112,743 Address AirDNA 2016 Campground 12 Latitude/Longitude UFGC 2016 Mobile home park 2369 Point UFGC 2009 Resort condominium 128 Address USCB 2012 Timeshare 364 Address AIF 2015

9 Tourist Destinations

10 Data Verification Compare overlapping datasets for Completeness Precision of location (Lat/Long) Deletion of duplicate records Format to a consistent projection Albers Conical Equal Area

11 Data Verification - Completeness Evaluated key tourist drivers 10 Counties Primary Tourist Drivers Amusement Parks/Theme Parks Beaches/Beach Access Golf Courses Natural Parks (state, fed, private) Stadiums and Arenas Goal: >90% Outcome: 90% of all locations, >91% by primary drivers

12 Data Verification - Accuracy Accuracy Degree to which the data matches true or accepted values Randomized sample of the data Compared to spatial data using internet search engines Google, Yahoo, Bing, Google Earth

13 Data Visualization and Spatial Assessment Tested spatial variation and density of tourist O/D Compared data to Florida mean and median central location Florida s irregular shape required two approaches Density location Polk County Directional Ellipse, northwest to southeast Consideration of random distributions Recognize that there will be clusters of locations Verify that the data is dispersed

14 Amusement Parks

15 Hotel Motel

16 Drinking Establishments

17 Summary Collected 173,000 spatially discrete tourist origins and destinations. Also collected polygon shapes and line data. Organized into 92 geographic data types: 8 origins, 84 destinations. Robust tourist dataset: rigorous validation process.

18 How to get the Data FDOT is finalizing the project Anticipated delivery of full dataset: November, 2017 Report posted on FSUTMSOnline.net

19 Questions? Thomas Hill State Models Manager Florida Department of Transportation