File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Tracking traffic congestion and accidents using social media data: A case study of Shanghai

TitleTracking traffic congestion and accidents using social media data: A case study of Shanghai
Authors
Chang, HLi, LHuang, JZhang, QChin, K
Issue Date2022
Citation
Accident Analysis & Prevention, 2022, v. 169, p. 106618 How to Cite?
DOI: http://dx.doi.org/10.1016/j.aap.2022.106618
Persistent Identifierhttp://hdl.handle.net/10722/317646
ISI Accession Number ID
WOS:000791263000009

 

DC FieldValueLanguage
dc.contributor.authorChang, H-
dc.contributor.authorLi, L-
dc.contributor.authorHuang, J-
dc.contributor.authorZhang, Q-
dc.contributor.authorChin, K-
dc.date.accessioned2022-10-07T10:24:21Z-
dc.date.available2022-10-07T10:24:21Z-
dc.date.issued2022-
dc.identifier.citationAccident Analysis & Prevention, 2022, v. 169, p. 106618-
dc.identifier.urihttp://hdl.handle.net/10722/317646-
dc.languageeng-
dc.relation.ispartofAccident Analysis & Prevention-
dc.titleTracking traffic congestion and accidents using social media data: A case study of Shanghai-
dc.typeArticle-
dc.identifier.emailHuang, J: jxhuang@hku.hk-
dc.identifier.authorityHuang, J=rp01758-
dc.identifier.doi10.1016/j.aap.2022.106618-
dc.identifier.hkuros337757-
dc.identifier.volume169-
dc.identifier.spage106618-
dc.identifier.epage106618-
dc.identifier.isiWOS:000791263000009-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats