{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:18:36Z","timestamp":1772828316981,"version":"3.50.1"},"reference-count":36,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,3,2]],"date-time":"2023-03-02T00:00:00Z","timestamp":1677715200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008529","name":"Chiba University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008529","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["SoftwareX"],"published-print":{"date-parts":[[2023,5]]},"DOI":"10.1016\/j.softx.2023.101350","type":"journal-article","created":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T03:48:42Z","timestamp":1678333722000},"page":"101350","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["T-Ridership: A web tool for reprogramming public transportation fleets to minimize COVID-19 transmission"],"prefix":"10.1016","volume":"22","author":[{"given":"Saba","family":"Imani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Majid","family":"Vahed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shreya","family":"Satodia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4721-2356","authenticated-orcid":false,"given":"Mohammad","family":"Vahed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.softx.2023.101350_b1","series-title":"Scientists warn we may need to live with social distancing for a year or more, from vox website","author":"Resnick","year":"2020"},{"issue":"1","key":"10.1016\/j.softx.2023.101350_b2","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.tmaid.2010.11.001","article-title":"TB transmission on public transportation: a review of published studies and recommendations for contact tracing","volume":"9","author":"Edelson","year":"2011","journal-title":"Travel Med Infect Dis"},{"key":"10.1016\/j.softx.2023.101350_b3","doi-asserted-by":"crossref","DOI":"10.1016\/j.jth.2020.100853","article-title":"Editorial JTH 16\u2013the coronavirus disease COVID-19 and implications for transport and health","volume":"16","author":"Musselwhite","year":"2020","journal-title":"J Transp Health"},{"issue":"7809","key":"10.1016\/j.softx.2023.101350_b4","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1038\/s41586-020-2196-x","article-title":"Virological assessment of hospitalized patients with COVID- 2019","volume":"581","author":"W\u00f6lfel","year":"2020","journal-title":"Nature"},{"issue":"18","key":"10.1016\/j.softx.2023.101350_b5","doi-asserted-by":"crossref","first-page":"1708","DOI":"10.1056\/NEJMoa2002032","article-title":"Clinical characteristics of coronavirus disease 2019 in China","volume":"382","author":"Guan","year":"2020","journal-title":"New England J Med"},{"issue":"5","key":"10.1016\/j.softx.2023.101350_b6","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1038\/s41591-020-0843-2","article-title":"Respiratory virus shedding in exhaled breath and efficacy of face masks","volume":"26","author":"Leung","year":"2020","journal-title":"Nat Med"},{"issue":"4","key":"10.1016\/j.softx.2023.101350_b7","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1097\/QCO.0000000000000563","article-title":"Controversy around airborne versus droplet transmission of respiratory viruses: implication for infection prevention","volume":"32","author":"Shiu","year":"2019","journal-title":"Curr Opin Infect Dis"},{"issue":"18","key":"10.1016\/j.softx.2023.101350_b8","first-page":"1837","article-title":"Turbulent gas clouds and respiratory pathogen emissions: potential implications for reducing transmission of COVID-19","volume":"323","author":"Bourouiba","year":"2020","journal-title":"Jama"},{"issue":"1","key":"10.1016\/j.softx.2023.101350_b9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1471-2334-11-16","article-title":"Is public transport a risk factor for acute respiratory infection?","volume":"11","author":"Troko","year":"2011","journal-title":"BMC Infect Dis"},{"issue":"1","key":"10.1016\/j.softx.2023.101350_b10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-021-81806-3","article-title":"Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach","volume":"11","author":"Murano","year":"2021","journal-title":"Sci Rep"},{"issue":"9","key":"10.1016\/j.softx.2023.101350_b11","article-title":"COVID-19 and public transport demand trends in sicily: Analyzing external factors and governmental recommendations","volume":"83","author":"Basbas","year":"2021","journal-title":"Eur Transp Trasp Eur"},{"issue":"8","key":"10.1016\/j.softx.2023.101350_b12","doi-asserted-by":"crossref","first-page":"3630","DOI":"10.3390\/app11083630","article-title":"Exploring the traveler\u2019s intentions to use public transport during the COVID-19 pandemic while complying with precautionary measures","volume":"11","author":"Abdullah","year":"2021","journal-title":"Appl Sci"},{"key":"10.1016\/j.softx.2023.101350_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.jth.2020.100969","article-title":"COVID-19: Impact on transport and mental health","volume":"19","author":"Dam","year":"2020","journal-title":"J Transp Health"},{"key":"10.1016\/j.softx.2023.101350_b14","doi-asserted-by":"crossref","DOI":"10.1109\/ACCESS.2020.3009328","article-title":"Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: A survey on the state-of-the-arts","volume":"8","author":"Pham","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.softx.2023.101350_b15","series-title":"Is the coronavirus changing how we look at public spaces? \u2014 the takeaway. (n.d.), from wnyc studios website:","year":"2020"},{"key":"10.1016\/j.softx.2023.101350_b16","series-title":"Making transit safe to ride during a pandemic: what are the risks and what can be done in response?","author":"Taylor","year":"2021"},{"issue":"1","key":"10.1016\/j.softx.2023.101350_b17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5038\/2375-0901.22.1.1","article-title":"Covid-19 and public transportation: current assessment, prospects, and research needs","volume":"22","author":"Tirachini","year":"2020","journal-title":"J Publ Transp"},{"key":"10.1016\/j.softx.2023.101350_b18","series-title":"Mta.info \u2014 Turnstile data. (n.d.), from web.mta.info website","year":"2020"},{"key":"10.1016\/j.softx.2023.101350_b19","unstructured":"New York State Department of Health. from health.ny.gov website: 2020 https:\/\/health.ny.gov\/."},{"key":"10.1016\/j.softx.2023.101350_b20","series-title":"The subways seeded the massive coronavirus epidemic in New York City. No. w27021","author":"Harris","year":"2020"},{"key":"10.1016\/j.softx.2023.101350_b21","series-title":"Mobility traces and spreading of covid-19","author":"M\u00fcller","year":"2020"},{"key":"10.1016\/j.softx.2023.101350_b22","series-title":"To limit coronavirus risks on public transport, here\u2019s what we can learn from efforts overseas","author":"Wong","year":"2020"},{"key":"10.1016\/j.softx.2023.101350_b23","series-title":"How covid-19 spreads in public places and how to protect yourself. (n.d.), from healthline website","year":"2020"},{"issue":"3","key":"10.1016\/j.softx.2023.101350_b24","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.trc.2005.04.007","article-title":"Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach","volume":"13","author":"Vlahogianni","year":"2005","journal-title":"Transp Res Part C Emerg Technol"},{"key":"10.1016\/j.softx.2023.101350_b25","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.trc.2019.09.008","article-title":"An effective spatial-temporal attention based neural network for traffic flow prediction","volume":"108","author":"Do","year":"2019","journal-title":"Transportation research part C: emerging technologies"},{"key":"10.1016\/j.softx.2023.101350_b26","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.trc.2015.03.014","article-title":"Long short-term memory neural network for traffic speed prediction using remote microwave sensor data","volume":"54","author":"Ma","year":"2015","journal-title":"Transp Res Part C Emerg Technol"},{"key":"10.1016\/j.softx.2023.101350_b27","first-page":"71","article-title":"Evaluation of artificial neural network applications in transportation engineering","volume":"1358","author":"Faghri","year":"1992","journal-title":"Transp Res Rec"},{"issue":"3","key":"10.1016\/j.softx.2023.101350_b28","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.trc.2010.10.004","article-title":"Statistical methods versus neural networks in transportation research: Differences similarities and some insights","volume":"19","author":"Karlaftis","year":"2011","journal-title":"Transp Res Part C Emerg Technol"},{"key":"10.1016\/j.softx.2023.101350_b29","series-title":"Neural neural network and its application in ir, a comprehensive foundation 842p. 13","first-page":"775","author":"Haykin","year":"1999"},{"issue":"2","key":"10.1016\/j.softx.2023.101350_b30","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.advengsoft.2006.08.003","article-title":"Public transportation trip flow modeling with generalized regression neural networks","volume":"38","author":"Celikoglu","year":"2007","journal-title":"Adv Eng Softw"},{"issue":"3","key":"10.1016\/j.softx.2023.101350_b31","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1109\/TCBB.2005.44","article-title":"The applicability of recurrent neural networks for biological sequence analysis","volume":"2","author":"Hawkins","year":"2005","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"issue":"6","key":"10.1016\/j.softx.2023.101350_b32","doi-asserted-by":"crossref","first-page":"1896","DOI":"10.1109\/LCOMM.2021.3060065","article-title":"CI-NN: A model-driven deep learning-based constructive interference precoding scheme","volume":"25","author":"Lei","year":"2021","journal-title":"IEEE Commun Lett"},{"issue":"4","key":"10.1016\/j.softx.2023.101350_b33","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/0968-090X(95)00009-8","article-title":"A review of neural networks applied to transport","volume":"3","author":"Dougherty","year":"1995","journal-title":"Transp Res C Emerg Technol"},{"key":"10.1016\/j.softx.2023.101350_b34","doi-asserted-by":"crossref","unstructured":"Toqu\u00e9\u00a0F, C\u00f4me\u00a0E, Mahrsi\u00a0MKEl, Oukhellou\u00a0L. Forecasting dynamic public transport origin\u2013destination matrices with long-short term memory recurrent neural networks. In: 2016 IEEE 19th international conference on intelligent transportation systems (ITSC). 2016, p. 1071\u20136.","DOI":"10.1109\/ITSC.2016.7795689"},{"key":"10.1016\/j.softx.2023.101350_b35","unstructured":"MTA-Transportation Network. from web.mta.info website: 2020 http:\/\/web.mta.info\/mta\/network.htm."},{"key":"10.1016\/j.softx.2023.101350_b36","unstructured":"New York City Subway with railways and airport connections. Retrieved from https:\/\/new.mta.info\/map\/7551."}],"container-title":["SoftwareX"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352711023000468?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352711023000468?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T03:53:04Z","timestamp":1762487584000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2352711023000468"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5]]},"references-count":36,"alternative-id":["S2352711023000468"],"URL":"https:\/\/doi.org\/10.1016\/j.softx.2023.101350","relation":{},"ISSN":["2352-7110"],"issn-type":[{"value":"2352-7110","type":"print"}],"subject":[],"published":{"date-parts":[[2023,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"T-Ridership: A web tool for reprogramming public transportation fleets to minimize COVID-19 transmission","name":"articletitle","label":"Article Title"},{"value":"SoftwareX","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.softx.2023.101350","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"simple-article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"101350"}}