{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T10:09:04Z","timestamp":1760609344218,"version":"3.41.0"},"reference-count":44,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T00:00:00Z","timestamp":1620172800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"crossref","award":["2019YFB2101804"],"award-info":[{"award-number":["2019YFB2101804"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["92046010, 82161148011, 71725002, 71531001, 72031001, 72021001 and 71901012"],"award-info":[{"award-number":["92046010, 82161148011, 71725002, 71531001, 72031001, 72021001 and 71901012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["YWF-21-BJ-J-839"],"award-info":[{"award-number":["YWF-21-BJ-J-839"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"name":"CCF-DiDi Gaia Collaborative Research Funds for Young Scholars"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Inf. Syst."],"published-print":{"date-parts":[[2021,7,26]]},"abstract":"<jats:p>\n            Recent years have witnessed the emergence of worldwide megalopolises and the accompanying public safety events, making urban safety a top priority in modern urban management. Among various threats, dangerous goods such as gas and hazardous chemicals transported through cities have bred repeated tragedies and become the deadly \u201cbomb\u201d we sleep with every day. While tremendous research efforts have been devoted to dealing with dangerous goods transportation (DGT) issues, further study is still in great need to quantify this problem and explore its intrinsic dynamics from a big data perspective. In this article, we present a novel system called\n            <jats:sc>DGeye<\/jats:sc>\n            , to feature a fusion between DGT trajectory data and residential population data for dangers perception and prediction. Specifically,\n            <jats:sc>DGeye<\/jats:sc>\n            first develops a probabilistic graphical model-based approach to mine spatio-temporally adjacent risk patterns from population-aware risk trajectories. Then,\n            <jats:sc>DGeye<\/jats:sc>\n            builds the novel causality network among risk patterns for risk pain-point identification, risk source attribution, and online risky state prediction. Experiments on both Beijing and Tianjin cities demonstrate the effectiveness of\n            <jats:sc>DGeye<\/jats:sc>\n            in real-life DGT risk management. As a case in point, our report powered by\n            <jats:sc>DGeye<\/jats:sc>\n            successfully drove the government to lay down gas pipelines for the famous Guijie food street in Beijing.\n          <\/jats:p>","DOI":"10.1145\/3448256","type":"journal-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T04:14:52Z","timestamp":1620274492000},"page":"1-30","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management"],"prefix":"10.1145","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0651-1592","authenticated-orcid":false,"given":"Jingyuan","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Beihang University. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University. State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Beihang University. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University. State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Zuo","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beihang University. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University. Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7650-3657","authenticated-orcid":false,"given":"Junjie","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beihang University. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University. Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, Beihang University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,5,5]]},"reference":[{"volume-title":"Proceedings of the 1st International Conference on Intelligent Transport Systems. 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