Publication: Detection of barriers to mobility in the smart city using Twitter
Loading...
Identifiers
Publication date
2020-09-09
Defense date
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Impact
Export
Abstract
We present a system that analyzes data extracted from the microbloging site Twitter to detect the occurrence of events and obstacles that can affect pedestrian mobility, with a special focus on people with impaired mobility. First, the system extracts tweets that match certain prede ned terms. Then, it obtains location information from them by using the location provided by Twitter when available, as well as searching the text of the tweet for locations. Finally, it applies natural language processing techniques to con rm that an actual event that affects mobility is reported and extract its properties (which urban element is affected and how). We also present some empirical results that validate the feasibility of our approach.
Description
Keywords
Mobility barrierrs, Smartcity, Social sensing, Transport
Bibliographic citation
IEEE Access, vol. 8, Sept. 2020, Pp. 168429-168438