scholarly journals A Methodological Workflow for Deriving the Association of Tourist Destinations Based on Online Travel Reviews: A Case Study of Yunnan Province, China

2021 ◽  
Vol 13 (9) ◽  
pp. 4720
Author(s):  
Tao Liu ◽  
Ying Zhang ◽  
Huan Zhang ◽  
Xiping Yang
Keyword(s):  
Big Data ◽  
Travel Behavior ◽  
Yunnan Province ◽  
Movement Patterns ◽  
User Generated Content ◽  
Great Opportunity ◽  
Tourist Destinations ◽  
Online Travel Reviews ◽  
Online Travel

Insights into the association rules of destinations can help to understand the possibility of tourists visiting a destination after having traveled from another. These insights are crucial for tourism industries to exploit strategies and travel products and offer improved services. Recently, tourism-related, user-generated content (UGC) big data have provided a great opportunity to investigate the travel behavior of tourists on an unparalleled scale. However, existing analyses of the association of destinations or attractions mainly depend on geo-tagged UGC, and only a few have utilized unstructured textual UGC (e.g., online travel reviews) to understand tourist movement patterns. In this study, we derive the association of destinations from online textual travel reviews. A workflow, which includes collecting data from travel service websites, extracting destination sequences from travel reviews, and identifying the frequent association of destinations, is developed to achieve the goal. A case study of Yunnan Province, China is implemented to verify the proposed workflow. The results show that the popular destinations and association of destinations could be identified in Yunnan, demonstrating that unstructured textual online travel reviews can be used to investigate the frequent movement patterns of tourists. Tourism managers can use the findings to optimize travel products and promote destination management.

scholarly journals Measuring Gastronomic Image Online

2019 ◽  
Vol 16 (23) ◽  
pp. 4631 ◽  
Author(s):  
Estela Marine-Roig ◽  
Berta Ferrer-Rosell ◽  
Natalia Daries ◽  
Eduard Cristobal-Fransi
Keyword(s):  
Big Data ◽  
Content Analysis ◽  
Business Intelligence ◽  
Cultural Tourism ◽  
Destination Image ◽  
User Generated Content ◽  
Thematic Content Analysis ◽  
Image Identity ◽  
Online Travel Reviews ◽  
Online Travel

Culinary or gastronomic tourism has become one of the main exponents of cultural tourism and a key element of a destination’s image identity. Since travellers consult and produce online travel reviews (OTR) before and during a trip, this research aims to provide and implement a framework for analysing OTRs of dining establishments to measure their contribution to destination image formation in their designative (cognitive) and appraisive (affective and evaluative) aspects. To do this, a website was selected from which to download OTRs, extract useful information from the textual and paratextual elements, build a keyword frequency matrix, and perform a quantitative and thematic content analysis. This method was applied to a random sample of 500,000 OTRs from the TripAdvisor restaurants section, written in English, between 2013 and 2017, by tourists visiting the Canary Islands. Results show that, although the gastronomic image of the destination is positive in general, the local and regional gastronomy representative of the community’s sociocultural identity is not the most popular nor the best valued in tourists’ comments. This research shows a method to measure the main aspects that make up the gastronomic image of a destination and that allow for extracting insights and business intelligence through big data from user-generated content.

Parking at Sporting Event Stadiums in Denver, Colorado

2013 ◽  
Vol 2359 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Alejandro Henao ◽  
Wesley E. Marshall
Keyword(s):  
Travel Behavior ◽  
Professional Sports ◽  
The United States ◽  
Opportunity Costs ◽  
Sporting Events ◽  
Great Opportunity ◽  
Sporting Event ◽  
Sports Venues ◽  
Parking Demand

Millions of people in the United States travel by personal automobile to attend professional sports matches played at various stadiums. Engineering and planning publications lack information on parking provisions for major sporting events. The results from this paper on parking outcomes suggest that the current parking provisions are not efficient. This case study examines parking supply, parking utilization, event auto occupancy, and event auto modal share at four major professional sports venues in the Denver, Colorado, region. The percentage of parking supply per parking demand was calculated for several surveyed games in terms of the average attendance, and parking utilization was evaluated during nonevent periods. In general, the surveys of the games indicated that more parking was provided than was necessary, even when attendance was higher than typical. For an event with average attendance, parking utilization was as low as 65%, with 2.2 persons per vehicle. In contrast, when parking occupancy was high, auto occupancy increased to 3.0 persons per vehicle. With such different carpool rates, as well as evidence suggesting that spectators who travel to some facilities are willing to park and walk farther than a half-mile, the results suggest that parking supply and travel behavior are endogenous and should not be treated independently. This study also considered parking occupancy at nonevent times and found whole-scale underutilization, even in downtown locations with great opportunity costs.

scholarly journals Tourism Analysis Using User-Generated Content: A Case Study of Foreign Tourists Visiting Japan on TripAdvisor

2020 ◽  
Vol 1 (1) ◽  
pp. 57-64
Author(s):  
Suguru Tsujioka ◽  
Kojiro Watanabe ◽  
Akihiro Tsukamoto
Keyword(s):  
Network Analysis ◽  
Social Networking ◽  
Correspondence Analysis ◽  
Text Analysis ◽  
User Generated Content ◽  
Social Networking Services ◽  
Online Travel

In recent years, online travel service platforms such as TripAdvisor have been actively used by tourists. These services include user-generated content, which is vast and difficult to interpret manually. Several previous studies used user-generated content (e.g., social networking services and TripAdvisor) for tourism analysis. Most of these studies did not perform a systematic text analysis. In this study, we propose a method of analyzing this content to understand the characteristics of sightseeing attractions. Specifically, we analyzed the reviews of foreign tourists who visited Japanese sightseeing attractions. The review data were collected from TripAdvisor. First, a correspondence analysis was conducted to understand the similarities between sightseeing attractions. Next, a co-occurrence network analysis was conducted to derive the theme clusters for understanding the characteristics of sightseeing attractions based on the words in the review. Finally, individual analyses were conducted based on the description of the derived themes at each sightseeing attraction. The results of the analyses demonstrate that the proposed method is effective for comprehending the characteristics of each sightseeing attraction. The proposed method is useful when using user-generated content for tourism analysis.

Research on 3D Visualization and Data Management Integration Modeling of Digital Mine: A Case Study of Eastern Gejiu Sn-Cu Deposit in Yunnan Province, China

2014 ◽  
Vol 1073-1076 ◽  
pp. 2036-2041
Author(s):  
Ping Ping Yu ◽  
Jian Ping Chen ◽  
Miao Yu ◽  
Zhao Wu ◽  
Dong Yue Chen
Keyword(s):  
Big Data ◽  
Data Management ◽  
Information Integration ◽  
Yunnan Province ◽  
Production Management ◽  
3D Visualization ◽  
Management Platform ◽  
Digital Mine ◽  
Database Technology

In the era of big data, new information technologies introduced into the study of mining exploration to realize the wisdom prospecting has important significance. Based on 3S technology, 3D modeling and visualization technology, database technology and virtual reality technology, this paper studied the 3D integrated digital mine construction of big data era and presented a new concept of 3D visualization and data management integration modeling of digital mine. A case study of eastern Gejiu Sn-Cu deposit in Yunnan province of China achieved the integrated modeling of ground and underground, and also the multi-information integration and analysis of geology, geography, 2D and 3D. An integrated management platform was built in the application to integrate a variety of mine data organically, which provided support for mine production management, the deep prospecting practice and the comprehensive study and application of geological big data of mine.

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