Show simple item record

contributor authorNikolaidou Anastasia;Papaioannou Panagiotis
date accessioned2019-02-26T07:55:06Z
date available2019-02-26T07:55:06Z
date issued2018
identifier otherJTEPBS.0000128.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4250267
description abstractThe purpose of the present study is to examine whether mining and analyzing social media data can be a powerful tool in the transportation domain. A survey of the literature based on the existing uses of social media in transportation is conducted; opportunities and barriers are also presented for the subject. Analysis of social media can provide valuable information regarding incident detection, mobility, and activity patterns as well as users’ opinions about different transport modes. The issues that need to be addressed are not few, with most important ones being the advanced mining and linguistic techniques required for the extraction of information, the reliability of the data collected, and the sample bias. The study concludes with recommendations in relation to the existing gaps in the literature, such as the need to create a transport-oriented lexicon to facilitate the process of collecting transport-related information from social media, use of social media during transport planning and operation, and finally, potential use of qualitative indicators on public transportation issues regarding the perceived level of service.
publisherAmerican Society of Civil Engineers
titleUtilizing Social Media in Transport Planning and Public Transit Quality: Survey of Literature
typeJournal Paper
journal volume144
journal issue4
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.0000128
page4018007
treeJournal of Transportation Engineering, Part A: Systems:;2018:;Volume ( 144 ):;issue: 004
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record