Identification of Tourist Flows in Florida to Support Development of Tourist Travel Module for FDOT Florida Transportation Model

Kirilenko, Andrei; Kim, Jin Won; Ma, Shihan; Yang, Eunjung

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Identification of Tourist Flows in Florida to Support Development of Tourist Travel Module for FDOT Florida Transportation Model

2020-06-01
By Kirilenko, Andrei ; Kim, Jin Won ; Ma, Shihan

File Language:

English

[PDF - 37.94 MB]

Details

Creators:

Kirilenko, Andrei ; Kim, Jin Won ; Ma, Shihan ; Yang, Eunjung
Corporate Creators:

University of Florida (Gainesville). Department of Tourism, Hospitality and Event Management
Corporate Contributors:

Florida. Department of Transportation
Subject/TRT Terms:
Publication/ Report Number:

Master agreement BDV31-977-118
Resource Type:

Tech Report
Geographical Coverage:

Florida ; United States
Edition:

August 2019 – May 2020
Corporate Publisher:

Florida. Department of Transportation
Description:

Continued use of Florida Statewide Model (FLSWM) poses a number of important limitations in terms of tourist-oriented traffic flow, accidents, potential revenue and maintenance considerations. The overall goal of the project was to enable Florida Department of Transportation (FDOT) to better monitor and forecast traffic flow by separate consideration of tourist flows. This report provides (1) analytical review of the up-to-date approaches and methods of accounting for tourist flow impact on transportation system; (2) mapping of tourism regions in Florida based on spatial distribution of tourism objects; (3) identification of tourism supply components in Florida using social media data; (4) estimating tourism flows using the tourism supply components alone; (5) estimating tourism flow in Florida using social media and cell phone data and cross-validation; and (6) implications for practical modeling.
Format:

PDF
Funding:

BDV31-977- 118
Download URL:

https://rosap.ntl.bts.gov/view/dot/58509/dot_58509_DS1.pdf
File Type:

[PDF - 37.94 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:e31a44c52df0f01cc34d47cd71ff7adcee7c2402ba51fb7944ba054ab8f5eb0a

File Language:

English

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