TY - GEN
T1 - Use of Geotagged Social Media in Urban Settings
T2 - 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015
AU - Chaniotakis, Emmanouil
AU - Antoniou, Constantinos
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/30
Y1 - 2015/10/30
N2 - Social media can be valuable in transportation research, as data collected contain information for mobility patterns and behavioural characteristics that could not be previously obtained. This paper introduces a methodology for the collection and analysis of data from Social Media, for transportation-related uses, first in a generic methodological framework and then particularly for Twitter. The data collection methodology is applied using Twitter and some initial descriptive statistics are presented concerning the characteristics of users and their posts. Results from spatial analysis is presented, conducted using data from the geotagged service of Twitter. The results of the analysis present trends on the use of Twitter for leisure activities and a correlation between high income areas and number of tweets posted. Finally, the potential of using data from Social Media is discussed with the issues that arise.
AB - Social media can be valuable in transportation research, as data collected contain information for mobility patterns and behavioural characteristics that could not be previously obtained. This paper introduces a methodology for the collection and analysis of data from Social Media, for transportation-related uses, first in a generic methodological framework and then particularly for Twitter. The data collection methodology is applied using Twitter and some initial descriptive statistics are presented concerning the characteristics of users and their posts. Results from spatial analysis is presented, conducted using data from the geotagged service of Twitter. The results of the analysis present trends on the use of Twitter for leisure activities and a correlation between high income areas and number of tweets posted. Finally, the potential of using data from Social Media is discussed with the issues that arise.
UR - http://www.scopus.com/inward/record.url?scp=84950280009&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2015.44
DO - 10.1109/ITSC.2015.44
M3 - Conference contribution
AN - SCOPUS:84950280009
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 214
EP - 219
BT - Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 September 2015 through 18 September 2015
ER -