Tourism Planning Platform Based on Big Data

2021 ◽  
Vol 1 (1) ◽  
pp. 75-79
Author(s):  
Lin Li ◽  
Zilei Wang ◽  
Zhenglin Huang ◽  
Ya Gao ◽  
Rong Tang ◽  
...  
Keyword(s):  
Big Data ◽  
2018 ◽  
Vol 20 (1-4) ◽  
pp. 189-190 ◽  
Author(s):  
Yang Yang ◽  
Jason L. Stienmetz
Keyword(s):  
Big Data ◽  

2020 ◽  
Vol 21 (1) ◽  
pp. 99-114
Author(s):  
In-Lin Hu ◽  
Chen-Chi Chang ◽  
Yu-Hsun Lin

Traveling in a Hakka village, the tourist can feel the culture of the Hakka in Taiwan and see traditional drama, artwork, handicrafts, and foods. The current trend in tourism planning is to incorporate online word of mouth into route design. This paper aims to examine common characteristics of Hakka village tourism development, identifying the need for planning and offering a model of the directions planning might take. It begins with big data collection of the online service and combines that with social network analysis. The results indicated that tourism planning with user's online search strategy will provide a better and more precise tour service. It is suggested that the government should set up the tour service center at the location identified as being in the structural hole of the tourism network. As cultural tourism continues to expand, big data applications will offer new opportunities and challenges to tourism planning.


ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  

Find Out About 'Big Data' to Track Outcomes


2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.


2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org


PsycCRITIQUES ◽  
2014 ◽  
Vol 59 (2) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  

2014 ◽  
Author(s):  
Daniel Maurath
Keyword(s):  
Big Data ◽  

2015 ◽  
Author(s):  
Kirsten Weir
Keyword(s):  

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