Top Banner
Group: Big Hero 5 Dennis Schmidt (A0145262L) Jean Pierre Castillo (A0145472E) Liu Xu (A0047258Y) Piyush Varanjani (A0105178H) Yin Xiao Ran(A0117980Y) Social Network Analysis of Travel Patterns of Tourists in Southeast Asia
19

Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Feb 07, 2017

Download

Documents

Lilac Liu Xu
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Group: Big Hero 5Dennis Schmidt (A0145262L)

Jean Pierre Castillo (A0145472E)Liu Xu (A0047258Y)

Piyush Varanjani (A0105178H)Yin Xiao Ran(A0117980Y)

Social Network Analysis of Travel

Patterns of Tourists in Southeast

Asia

Page 2: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Agenda

• Introduction

• Methodology

• Findings

• Popularity

• Duration

• Patterns

• Seasons

• Limitations and Conclusion

Page 3: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Social Media influences travel decisions

Source: https://econsultancy.com

Page 4: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Motivation

Source: WTTC Travel & Tourism Economic Impact 2015

Page 5: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Hypothesis

“Based on blog data we are able to predict when and

WHERE

individuals will travel to in Southeast Asia”

Page 6: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Sources: www.tripadvisor.com, wikitravel.org, www.flightradar24.com, www.travelpod.com

Methodology - Data Source

Requirement: information about leisure trips with all stages of the trip

Page 7: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Methodology - Data Collection

Source: http://www.travelpod.com/travel-blog-entries/wanderinwonder/1/1426347504/tpod.html

Page 8: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Methodology - Data Collection

Source: http://www.travelpod.com/travel-blog-entries/wanderinwonder/1/1426347504/tpod.html

Page 9: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

• Cleaning

• Country names

• City names Regions

• Compiling of matrices and tables

Methodology - Data Preprocessing

Page 10: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Methodology - Data Analysis and Visualization

Sources: www.r-project.org, nodexl.codeplex.com, products.office.com/en-us/excel

Page 11: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Data Collected

Page 12: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Data Findings - Popularity

Page 13: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Popularity: Median Days Duration of SEA Visits

0 5 10 15 20 25

Brunei (301)

Singapore (913)

East Timor (10)

Cambodia (808)

Laos (836)

Myanmar (279)

Malaysia (872)

Vietnam (778)

Thailand (1308)

Indonesia (566)

Philippines (254)

Page 14: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Popularity before and after 2010 (P<0.05)

Page 15: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Origin of trips before and after 2010 (P<0.05)

Page 16: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Seasons for traveling to SEA

Page 17: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Seasons for traveling to SEA

Page 18: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Limitations

• Data collection

• Data analysis

Page 19: Social Network Analysis of Travel Patterns of Tourists in Southeast Asia

Summary (Key Findings)

Popular Route: Singapore – Malaysia – Thailand – Laos

Most important transit: Thailand

Longest duration: Philippines

Busy Seasons: December - February

Increased number of European Tourists since 2010