Next Article in Journal
Evolution of a Development Model for Fruit Industry against Background of an Aging Population: Intensive or Extensive Adjustment?
Previous Article in Journal
Implications of Switching Fossil Fuel Subsidies to Solar: A Case Study for the European Union
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Sustainability 2018, 10(1), 43; https://doi.org/10.3390/su10010043

A Model to Measure Tourist Preference toward Scenic Spots Based on Social Media Data: A Case of Dapeng in China

1
School of Architecture and Urban Planning, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China
2
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China
*
Author to whom correspondence should be addressed.
Received: 29 October 2017 / Revised: 4 December 2017 / Accepted: 21 December 2017 / Published: 26 December 2017
Full-Text   |   PDF [2347 KB, uploaded 26 December 2017]   |  

Abstract

Research on tourist preference toward different tourism destinations has been a hot topic for decades in the field of tourism development. Tourist preference is mostly measured with small group opinion-based methods through introducing indicator systems in previous studies. In the digital age, e-tourism makes it possible to collect huge volumes of social data produced by tourists from the internet, to establish a new way of measuring tourist preference toward a close group of tourism destinations. This paper introduces a new model using social media data to quantitatively measure the market trend of a group of scenic spots from the angle of tourists’ demand, using three attributes: tourist sentiment orientation, present tourist market shares, and potential tourist awareness. Through data mining, cleaning, and analyzing with the framework of Machine Learning, the relative tourist preference toward 34 scenic spots closely located in the Dapeng Peninsula is calculated. The results not only provide a reliable “A-rating” system to gauge the popularity of different scenic spots, but also contribute an innovative measuring model to support scenic spots planning and policy making in the regional context. View Full-Text
Keywords: tourist preference; measuring model; tourism destinations; scenic spots planning; social media data tourist preference; measuring model; tourism destinations; scenic spots planning; social media data
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

Sun, Y.; Ma, H.; Chan, E.H.W. A Model to Measure Tourist Preference toward Scenic Spots Based on Social Media Data: A Case of Dapeng in China. Sustainability 2018, 10, 43.

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]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top