Investigating transportation research based on social media analysis: A systematic mapping review
Social media is a pool of users’ thoughts, opinions, surrounding environment, situation and others. This pool can be used as a real-time and feedback data source for many domains such as transportation. It can be used to get instant feedback from commuters; their opinions toward the transportation n...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2021
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| Online Access: | http://eprints.sunway.edu.my/1841/ http://eprints.sunway.edu.my/1841/1/Chua%20Hui%20Na%20investigatingtransportationres.pdf |
| _version_ | 1848802145979072512 |
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| author | Zayet, T. M. A. Maizatul, A. I. Katuri, D. V. Rafidah, M. D. N. Chua, Hui Na * Lee, Angela Siew Hoong * Low, Yeh Ching * Sheena Kaur, J. S. |
| author_facet | Zayet, T. M. A. Maizatul, A. I. Katuri, D. V. Rafidah, M. D. N. Chua, Hui Na * Lee, Angela Siew Hoong * Low, Yeh Ching * Sheena Kaur, J. S. |
| author_sort | Zayet, T. M. A. |
| building | SU Institutional Repository |
| collection | Online Access |
| description | Social media is a pool of users’ thoughts, opinions, surrounding environment, situation and others. This pool can be used as a real-time and feedback data source for many domains such as transportation. It can be used to get instant feedback from commuters; their opinions toward the transportation network and their complaints, in addition to the traffic situation, road conditions, events detection and many others. The problem is in how to utilize social media data to achieve one or more of these targets. A systematic review was conducted in the field of transportation-related research based on social media analysis (TRRSMA) from the years between 2008 and 2018; 74 papers were identified from an initial set of 703 papers extracted from 4 digital libraries. This review will structure the field and give
an overview based on the following grounds: activity, keywords, approaches, social media data and platforms and focus of the researches. It will show the trend in the research subjects by countries, in addition to the activity trends, platforms usage trend and others. Further
analysis of the most employed approach (Lexicons) and data (text) will be also shown. Finally, challenges and future works are drawn and proposed. |
| first_indexed | 2025-11-14T21:18:42Z |
| format | Article |
| id | sunway-1841 |
| institution | Sunway University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:18:42Z |
| publishDate | 2021 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | sunway-18412021-12-27T04:03:30Z http://eprints.sunway.edu.my/1841/ Investigating transportation research based on social media analysis: A systematic mapping review Zayet, T. M. A. Maizatul, A. I. Katuri, D. V. Rafidah, M. D. N. Chua, Hui Na * Lee, Angela Siew Hoong * Low, Yeh Ching * Sheena Kaur, J. S. QA75 Electronic computers. Computer science Social media is a pool of users’ thoughts, opinions, surrounding environment, situation and others. This pool can be used as a real-time and feedback data source for many domains such as transportation. It can be used to get instant feedback from commuters; their opinions toward the transportation network and their complaints, in addition to the traffic situation, road conditions, events detection and many others. The problem is in how to utilize social media data to achieve one or more of these targets. A systematic review was conducted in the field of transportation-related research based on social media analysis (TRRSMA) from the years between 2008 and 2018; 74 papers were identified from an initial set of 703 papers extracted from 4 digital libraries. This review will structure the field and give an overview based on the following grounds: activity, keywords, approaches, social media data and platforms and focus of the researches. It will show the trend in the research subjects by countries, in addition to the activity trends, platforms usage trend and others. Further analysis of the most employed approach (Lexicons) and data (text) will be also shown. Finally, challenges and future works are drawn and proposed. Springer 2021 Article PeerReviewed text en cc_by_nc_4 http://eprints.sunway.edu.my/1841/1/Chua%20Hui%20Na%20investigatingtransportationres.pdf Zayet, T. M. A. and Maizatul, A. I. and Katuri, D. V. and Rafidah, M. D. N. and Chua, Hui Na * and Lee, Angela Siew Hoong * and Low, Yeh Ching * and Sheena Kaur, J. S. (2021) Investigating transportation research based on social media analysis: A systematic mapping review. Scientometrics. ISSN 0138-9130 https://link.springer.com/journal/11192/volumes-and-issues/126-1 https://link.springer.com/article/10.1007/s11192-021-04046-2 |
| spellingShingle | QA75 Electronic computers. Computer science Zayet, T. M. A. Maizatul, A. I. Katuri, D. V. Rafidah, M. D. N. Chua, Hui Na * Lee, Angela Siew Hoong * Low, Yeh Ching * Sheena Kaur, J. S. Investigating transportation research based on social media analysis: A systematic mapping review |
| title | Investigating transportation research based on social media
analysis: A systematic mapping review |
| title_full | Investigating transportation research based on social media
analysis: A systematic mapping review |
| title_fullStr | Investigating transportation research based on social media
analysis: A systematic mapping review |
| title_full_unstemmed | Investigating transportation research based on social media
analysis: A systematic mapping review |
| title_short | Investigating transportation research based on social media
analysis: A systematic mapping review |
| title_sort | investigating transportation research based on social media
analysis: a systematic mapping review |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.sunway.edu.my/1841/ http://eprints.sunway.edu.my/1841/ http://eprints.sunway.edu.my/1841/ http://eprints.sunway.edu.my/1841/1/Chua%20Hui%20Na%20investigatingtransportationres.pdf |