Abstract Details
Activity Number:
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621
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Type:
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Invited
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Date/Time:
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Thursday, August 13, 2015 : 8:30 AM to 10:20 AM
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Sponsor:
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Transportation Statistics Interest Group
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Abstract #314680
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Title:
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Unstructured Social Media Data for Transportation Applications: Benefits and Challenges
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Author(s):
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Piyushimita (Vonu) Thakuriah*
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Companies:
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University of Glasgow
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Keywords:
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Abstract:
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This presentation will demonstrate the use of unstructured social media data in transportation analysis and evaluation. We will start by comparing events and sentiments derived from social media data (Twitter, Foursquare) with structured data (data from survey and administrative/operations data), and determine new knowledge which can be derived regarding transportation operations from such unstructured data. Social media data can impart novel new insights on hypothesis-generation regarding mobility, as well as on the relationship of transportation to urban engagement and traveller behaviour, but would potentially be more valuable when used together with traditional data sources.
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Authors who are presenting talks have a * after their name.
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