{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T23:54:44Z","timestamp":1767830084285,"version":"3.49.0"},"reference-count":32,"publisher":"Informa UK Limited","issue":"4","funder":[{"DOI":"10.13039\/100016938","name":"Mountain-Plains Consortium","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100016938","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000930","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2234289"],"award-info":[{"award-number":["2234289"]}],"id":[{"id":"10.13039\/501100000930","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent Transportation Systems"],"published-print":{"date-parts":[[2024,7,3]]},"DOI":"10.1080\/15472450.2022.2157212","type":"journal-article","created":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T01:08:20Z","timestamp":1672016900000},"page":"544-554","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":6,"title":["Modeling the impact of COVID-19 on transportation at later stage of the pandemic: A case study of Utah"],"prefix":"10.1080","volume":"28","author":[{"given":"Yaobang","family":"Gong","sequence":"first","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, UT, USA"}]},{"given":"Tanner","family":"Isom","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, UT, USA"}]},{"given":"Pan","family":"Lu","sequence":"additional","affiliation":[{"name":"Upper Great Plains Transportation Institute, North Dakota State University, Fargo, ND, USA"}]},{"given":"Xianfeng (Terry)","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Maryland, College Park, MD, USA"}]},{"given":"Aaron","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, UT, USA"}]}],"member":"301","published-online":{"date-parts":[[2022,12,25]]},"reference":[{"key":"e_1_3_2_2_1","unstructured":"AASHTO (2020). Study: COVID-19 changing commuter traffic patterns \u2013 AASHTO journal. https:\/\/aashtojournal.org\/2020\/10\/09\/study-covid-19-changing-commuter-traffic-patterns\/"},{"key":"e_1_3_2_3_1","unstructured":"Abadi M. Agarwal A. Barham P. Brevdo E. Chen Z. Citro C. Corrado G. S. Davis A. Dean J. Devin M. Ghemawat S. Goodfellow I. J. Harp A. Irving G. Isard M. Jia Y. J\u00f3zefowicz R. Kaiser L. Kudlur M. & Zheng X. (2016). TensorFlow: Large-scale machine learning on heterogeneous distributed systems (CoRR abs\/1603.0). http:\/\/arxiv.org\/abs\/1603.04467"},{"key":"e_1_3_2_4_1","unstructured":"Centers for Disease Control and Prevention (CDC). (2021). When You\u2019ve Been Fully Vaccinated. https:\/\/www.cdc.gov\/coronavirus\/2019-ncov\/vaccines\/fully-vaccinated.html"},{"key":"e_1_3_2_5_1","volume-title":"GitHub repository","author":"Chollet F.","year":"2015","unstructured":"Chollet, F. (2015). Keras. In GitHub repository. GitHub."},{"key":"e_1_3_2_6_1","doi-asserted-by":"publisher","DOI":"10.3390\/su13116359"},{"key":"e_1_3_2_7_1","volume-title":"GitHub Repository","author":"Data61 C.","year":"2018","unstructured":"Data61, C. (2018). StellarGraph machine learning library. In GitHub Repository. GitHub."},{"key":"e_1_3_2_8_1","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume":"29","author":"Defferrard M.","year":"2016","unstructured":"Defferrard, M., Bresson, X., & Vandergheynst, P. (2016). Convolutional neural networks on graphs with fast localized spectral filtering. Advances in Neural Information Processing Systems, 29, 3844\u20133852. https:\/\/arxiv.org\/abs\/1606.09375v3","journal-title":"Advances in Neural Information Processing Systems,"},{"key":"e_1_3_2_9_1","doi-asserted-by":"publisher","DOI":"10.3386\/W27519"},{"key":"e_1_3_2_10_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_11_1","unstructured":"Horsley S. (2020). GDP drops at 32.9% rate the worst U.S. contraction ever\u202f: Coronavirus updates\u202f: NPR. https:\/\/www.npr.org\/sections\/coronavirus-live-updates\/2020\/07\/30\/896714437\/3-months-of-hell-u-s-economys-worst-quarter-ever"},{"key":"e_1_3_2_12_1","unstructured":"Jiang W. & Luo J. (2021). Graph neural network for traffic forecasting: A survey. https:\/\/arxiv.org\/abs\/2101.11174v2"},{"key":"e_1_3_2_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.TRIP.2020.100186"},{"key":"e_1_3_2_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.TRIP.2021.100305"},{"key":"e_1_3_2_15_1","unstructured":"Le Q. V. Jaitly N. & Hinton G. E. (2015). A simple way to initialize recurrent networks of rectified linear units. https:\/\/arxiv.org\/abs\/1504.00941v2"},{"key":"e_1_3_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3090851"},{"key":"e_1_3_2_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/S41562-021-01122-8"},{"key":"e_1_3_2_18_1","doi-asserted-by":"publisher","DOI":"10.1177\/0361198106194800119"},{"key":"e_1_3_2_19_1","unstructured":"National Centres for Environmental Information (NCEI). (2020). Find a Station | Data Tools | Climate Data Online (CDO) | National Climatic Data Center (NCDC). https:\/\/www.ncdc.noaa.gov\/cdo-web\/datatools\/findstation"},{"key":"e_1_3_2_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.TRANPOL.2021.06.003"},{"key":"e_1_3_2_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.TRIP.2020.100216"},{"key":"e_1_3_2_22_1","doi-asserted-by":"publisher","DOI":"10.24148\/wp2017-01"},{"key":"e_1_3_2_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12688"},{"key":"e_1_3_2_24_1","unstructured":"The State of Utah. (2021a). Case counts: coronavirus. Coronavirus.Utah.Gov. https:\/\/coronavirus.utah.gov\/case-counts\/"},{"key":"e_1_3_2_25_1","unstructured":"The State of Utah. (2021b). Special orders | coronavirus. https:\/\/coronavirus.utah.gov\/special-orders\/"},{"key":"e_1_3_2_26_1","unstructured":"Utah Department of Transportation. (2019). PeMS @ UDOT. https:\/\/udot.iteris-pems.com\/?fwy=15&dir=S&dnode=Freeway&content=elv&tab=stations&pagenum=4"},{"key":"e_1_3_2_27_1","unstructured":"Utah Department of Workforce Services. (2021). Seasonally adjusted unemployment rates by county. https:\/\/jobs.utah.gov\/wi\/update\/une\/"},{"key":"e_1_3_2_28_1","doi-asserted-by":"publisher","DOI":"10.1177\/0361198120919399"},{"key":"e_1_3_2_29_1","doi-asserted-by":"publisher","DOI":"10.1177\/0361198119840611"},{"key":"e_1_3_2_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2021.02.007"},{"key":"e_1_3_2_31_1","doi-asserted-by":"publisher","DOI":"10.1093\/tse\/tdab003"},{"key":"e_1_3_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2935152"},{"key":"e_1_3_2_33_1","unstructured":"Zhu J. Han X. Deng H. Tao C. Zhao L. Tao L. & Li H. (2020). KST-GCN: A knowledge-driven spatial-temporal graph convolutional network for traffic forecasting. https:\/\/arxiv.org\/abs\/2011.14992v1"}],"container-title":["Journal of Intelligent Transportation Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/15472450.2022.2157212","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,16]],"date-time":"2024-07-16T11:22:10Z","timestamp":1721128930000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/15472450.2022.2157212"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,25]]},"references-count":32,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,7,3]]}},"alternative-id":["10.1080\/15472450.2022.2157212"],"URL":"https:\/\/doi.org\/10.1080\/15472450.2022.2157212","relation":{},"ISSN":["1547-2450","1547-2442"],"issn-type":[{"value":"1547-2450","type":"print"},{"value":"1547-2442","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,25]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=gits20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=gits20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2021-10-05","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-12-07","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-12-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}