Next Article in Journal
Can Traditional Authority Improve the Governance of Forestland and Sustainability? Case Study from the Congo (DRC)
Previous Article in Journal
Göbekli Tepe: A Brief Description of the Environmental Development in the Surroundings of the UNESCO World Heritage Site
Previous Article in Special Issue
Making It Spatial Makes It Personal: Engaging Stakeholders with Geospatial Participatory Modeling
Article Menu

Export Article

Open AccessArticle

The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea

1
Natural Capital Project, Woods Institute for the Environment, Stanford University, Stanford, CA 94305, USA
2
School for Environmental and Forest Sciences, University of Washington, Seattle, WA 98195, USA
3
eScience Institute, University of Washington, Seattle, WA 98195, USA
4
The Institute for Korean Regional Studies, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
5
Division for Natural Environment, Korea Environment Institute, 370 Sicheong-daero, Sejong-si 30147, Korea
*
Author to whom correspondence should be addressed.
Received: 29 March 2019 / Revised: 17 April 2019 / Accepted: 22 April 2019 / Published: 26 April 2019
  |  
PDF [1060 KB, uploaded 26 April 2019]
  |  

Abstract

Recreation and tourism are important ways that people interact with and derive benefits from natural environments. Understanding how and where nature provides recreational opportunities and benefits is necessary for management decisions that impact the environment. This study develops and tests an approach for mapping tourism patterns, and assessing people’s preferences for cultural and natural landscapes, using user-generated geographic content. The volume of geotagged images and tweets shared publicly on Flickr and Twitter and proprietary mobile phone traffic provided by a telecommunications company, are used to map visitation rates to potential tourist destinations across Jeju Island, South Korea. We find that densities of social media posts and mobile phone traffic are all correlated with ticket sales and counts of gate entries at tourist sites. Using multivariate linear regression, we measure the degree to which attributes of the natural and built environment explain variation in visitation rates, and find that tourists to Jeju Island prefer to recreate near beaches, sea cliffs, golf courses and hiking trails. We conclude that high-resolution and spatially-explicit visitation data provided by user-generated content open the door for statistical models that can quantify recreation demand. Managers and practitioners could combine these flexible and relatively inexpensive user-generated data with more traditional survey data to inform sustainable tourism development plans and policy decisions. These methods are especially useful in the context of landscape or regional-scale ecosystem service assessments, where there is a need to map the multiple ecological, economic, and cultural benefits of the environment. View Full-Text
Keywords: user-generated geographic content; social media data; tourism; cultural ecosystem services; revealed preferences user-generated geographic content; social media data; tourism; cultural ecosystem services; revealed preferences
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Fisher, D.M.; Wood, S.A.; Roh, Y.-H.; Kim, C.-K. The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea. Land 2019, 8, 73.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Land EISSN 2073-445X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top