{"id":"https://openalex.org/W3126165266","doi":"https://doi.org/10.1145/3442381.3449817","title":"STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility","display_name":"STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3126165266","doi":"https://doi.org/10.1145/3442381.3449817","mag":"3126165266"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449817","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449817","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449817","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040516967","display_name":"Zhengyang Zhou","orcid":"https://orcid.org/0000-0003-4728-7347"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyang Zhou","raw_affiliation_strings":["University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101705851","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0002-6079-7053"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037366245","display_name":"Xike Xie","orcid":"https://orcid.org/0000-0001-5290-5408"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xike Xie","raw_affiliation_strings":["University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077729505","display_name":"Lei Qiao","orcid":"https://orcid.org/0000-0003-2907-7629"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Qiao","raw_affiliation_strings":["Beijing Institute of Control Engineering, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Control Engineering, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056231116","display_name":"Yuantao Li","orcid":"https://orcid.org/0000-0002-0110-2717"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuantao Li","raw_affiliation_strings":["University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8338,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.97554505,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1868","last_page":"1879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7125774621963501},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.6759620308876038},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.605169415473938},{"id":"https://openalex.org/keywords/uncertainty-analysis","display_name":"Uncertainty analysis","score":0.542102038860321},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5113338828086853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4857776463031769},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.47662675380706787},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45304185152053833},{"id":"https://openalex.org/keywords/propagation-of-uncertainty","display_name":"Propagation of uncertainty","score":0.4265800714492798},{"id":"https://openalex.org/keywords/sensitivity-analysis","display_name":"Sensitivity analysis","score":0.41693365573883057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4132378101348877},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.10074383020401001}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7125774621963501},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.6759620308876038},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.605169415473938},{"id":"https://openalex.org/C177803969","wikidata":"https://www.wikidata.org/wiki/Q29205","display_name":"Uncertainty analysis","level":2,"score":0.542102038860321},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5113338828086853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4857776463031769},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.47662675380706787},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45304185152053833},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.4265800714492798},{"id":"https://openalex.org/C176147448","wikidata":"https://www.wikidata.org/wiki/Q1889114","display_name":"Sensitivity analysis","level":3,"score":0.41693365573883057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4132378101348877},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.10074383020401001},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3442381.3449817","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449817","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2102.06027","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.06027","pdf_url":"https://arxiv.org/pdf/2102.06027","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3442381.3449817","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449817","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W1522301498","https://openalex.org/W1987228002","https://openalex.org/W2024877464","https://openalex.org/W2091726084","https://openalex.org/W2111959010","https://openalex.org/W2120097481","https://openalex.org/W2318951588","https://openalex.org/W2528639018","https://openalex.org/W2545581649","https://openalex.org/W2600383743","https://openalex.org/W2717645158","https://openalex.org/W2736562847","https://openalex.org/W2756203131","https://openalex.org/W2770653973","https://openalex.org/W2785583251","https://openalex.org/W2788114581","https://openalex.org/W2793768763","https://openalex.org/W2807729903","https://openalex.org/W2903871660","https://openalex.org/W2905432015","https://openalex.org/W2907294533","https://openalex.org/W2910892140","https://openalex.org/W2911752602","https://openalex.org/W2950517871","https://openalex.org/W2951965145","https://openalex.org/W2952734551","https://openalex.org/W2954301881","https://openalex.org/W2962894061","https://openalex.org/W2963238274","https://openalex.org/W2963870721","https://openalex.org/W2964059111","https://openalex.org/W2964121744","https://openalex.org/W2965206442","https://openalex.org/W2965806703","https://openalex.org/W2965875443","https://openalex.org/W2981482273","https://openalex.org/W2998167534","https://openalex.org/W2998188743","https://openalex.org/W3012529204","https://openalex.org/W3012685314","https://openalex.org/W3035146082","https://openalex.org/W3037590790","https://openalex.org/W3038256886","https://openalex.org/W3040157551","https://openalex.org/W3081263239","https://openalex.org/W3103720336","https://openalex.org/W3104030692","https://openalex.org/W3106047363","https://openalex.org/W3122762307","https://openalex.org/W3170187879","https://openalex.org/W4299572933"],"related_works":["https://openalex.org/W2116089868","https://openalex.org/W1991803138","https://openalex.org/W1983007452","https://openalex.org/W4387046439","https://openalex.org/W1941025032","https://openalex.org/W2115703496","https://openalex.org/W2417835091","https://openalex.org/W2916523266","https://openalex.org/W1978531549","https://openalex.org/W3042706615"],"abstract_inverted_index":{"The":[0],"high":[1],"dynamics":[2],"and":[3,60,90,129,162,170,177,216],"heterogeneous":[4],"interactions":[5],"in":[6,18,26,211],"the":[7,13,42,47,96,139,179,190,205],"complicated":[8],"urban":[9,32],"systems":[10],"have":[11,79,92,203],"raised":[12],"issue":[14,140],"of":[15,38,85,99,141,144,207,213],"uncertainty":[16,45,58,62,101,112,120,132,159,168,192,217],"quantification":[17,63,113,169],"spatiotemporal":[19,83,115,200],"human":[20],"mobility,":[21],"to":[22,123,166,187],"support":[23],"critical":[24],"decision-makings":[25],"risk-aware":[27],"web":[28],"applications":[29],"such":[30],"as":[31],"event":[33],"prediction":[34,51,180],"where":[35,153],"fluctuations":[36],"are":[37],"significant":[39],"interests.":[40],"Given":[41],"fact":[43],"that":[44],"quantifies":[46],"potential":[48],"variations":[49],"around":[50],"results,":[52],"traditional":[53],"learning":[54,121],"schemes":[55],"always":[56],"lack":[57],"labels,":[59],"conventional":[61],"approaches":[64],"mostly":[65],"rely":[66],"upon":[67],"statistical":[68,100],"estimations":[69],"with":[70,106],"Bayesian":[71],"Neural":[72],"Networks":[73],"or":[74],"ensemble":[75],"methods.":[76],"However,":[77],"they":[78],"never":[80],"involved":[81],"any":[82],"evolution":[84],"uncertainties":[86],"under":[87],"various":[88,134],"contexts,":[89],"also":[91],"kept":[93],"suffering":[94],"from":[95],"poor":[97],"efficiency":[98],"estimation":[102],"while":[103],"training":[104],"models":[105],"multiple":[107],"times.":[108],"To":[109,137],"provide":[110,164],"high-quality":[111],"for":[114,160],"forecasting,":[116],"we":[117,146,154,175],"propose":[118,147],"an":[119],"mechanism":[122],"simultaneously":[124],"estimate":[125],"internal":[126],"data":[127,150],"quality":[128],"quantify":[130],"external":[131],"regarding":[133],"contextual":[135],"interactions.":[136],"address":[138],"lacking":[142],"labels":[143],"uncertainty,":[145],"a":[148,184],"hierarchical":[149],"turbulence":[151],"scheme":[152],"can":[155],"actively":[156],"inject":[157],"controllable":[158],"guidance,":[161],"hence":[163],"insights":[165],"both":[167,214],"weak":[171],"supervised":[172],"learning.":[173],"Finally,":[174],"re-calibrate":[176],"boost":[178],"performance":[181],"by":[182],"devising":[183],"gated-based":[185],"bridge":[186],"adaptively":[188],"leverage":[189],"learned":[191],"into":[193],"predictions.":[194],"Extensive":[195],"experiments":[196],"on":[197],"three":[198],"real-world":[199],"mobility":[201],"sets":[202],"corroborated":[204],"superiority":[206],"our":[208],"proposed":[209],"model":[210],"terms":[212],"forecasting":[215],"quantification.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2021-02-15T00:00:00"}