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Investigating transportation research based on social media analysis: a systematic mapping review
Tasnim M A Zayet1, Maizatul Akmar Ismail1, Kasturi Dewi Varathan1
1Department of Information Systems, University of Malaya, Kuala Lumpur, Malaysia.
Scientometrics
|June 30, 2021
Summary
This study reviews transportation research using social media analysis (TRR-SMA). It identifies trends in activities, keywords, and platforms, highlighting the common use of text data and lexicon approaches.
Area of Science:
- Transportation research
- Social media analysis
- Data science
Background:
- Social media offers real-time user feedback for domains like transportation.
- Challenges exist in effectively utilizing social media data for transportation insights.
Purpose of the Study:
- To systematically review transportation-related research based on social media analysis (TRR-SMA) from 2008-2018.
- To structure the field by analyzing activities, keywords, approaches, data, platforms, and research focus.
Main Methods:
- Systematic review of 74 papers from 703 identified in 4 digital libraries.
- Analysis of research trends by country, activity, and platform usage.
- Detailed examination of prevalent approaches (Lexicons) and data types (text).
Main Results:
- Identified key trends in research subjects, country-specific activities, and platform adoption.
- Lexicon-based approaches and text data were the most frequently employed methods.
- The review provides a structured overview of the TRR-SMA field.
Conclusions:
- Social media data holds significant potential for transportation research.
- Understanding trends and methodologies in TRR-SMA is crucial for future advancements.
- Identified challenges and future research directions are proposed.
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