{"id":"https://openalex.org/W2808259551","doi":"https://doi.org/10.1145/3152341.3152344","title":"Vision Paper","display_name":"Vision Paper","publication_year":2017,"publication_date":"2017-11-07","ids":{"openalex":"https://openalex.org/W2808259551","doi":"https://doi.org/10.1145/3152341.3152344","mag":"2808259551"},"language":"en","primary_location":{"id":"doi:10.1145/3152341.3152344","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3152341.3152344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080997069","display_name":"Dominik Bucher","orcid":"https://orcid.org/0000-0001-9824-5388"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Dominik Bucher","raw_affiliation_strings":["ETH Zurich, Institute of Cartography and Geoinformation, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Institute of Cartography and Geoinformation, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080997069"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":1.9631,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88811725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7437498569488525},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6752779483795166},{"id":"https://openalex.org/keywords/volunteered-geographic-information","display_name":"Volunteered geographic information","score":0.6593008041381836},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48975563049316406},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4448707103729248},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44056469202041626},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.43873658776283264},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.4317823648452759},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.42810872197151184},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.42195582389831543},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17998528480529785},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15948721766471863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7437498569488525},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6752779483795166},{"id":"https://openalex.org/C57380593","wikidata":"https://www.wikidata.org/wiki/Q933625","display_name":"Volunteered geographic information","level":2,"score":0.6593008041381836},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48975563049316406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4448707103729248},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44056469202041626},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.43873658776283264},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.4317823648452759},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.42810872197151184},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.42195582389831543},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17998528480529785},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15948721766471863},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3152341.3152344","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3152341.3152344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6600000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W256129182","https://openalex.org/W1921431865","https://openalex.org/W1964461063","https://openalex.org/W1968222252","https://openalex.org/W1968545881","https://openalex.org/W1989750313","https://openalex.org/W2008399320","https://openalex.org/W2032865436","https://openalex.org/W2034792058","https://openalex.org/W2059512573","https://openalex.org/W2095864562","https://openalex.org/W2114608211","https://openalex.org/W2123463338","https://openalex.org/W2135822894","https://openalex.org/W2139129816","https://openalex.org/W2145457662","https://openalex.org/W2149424704","https://openalex.org/W2155856926","https://openalex.org/W2336633328","https://openalex.org/W2477602713","https://openalex.org/W2484278575","https://openalex.org/W2499609862","https://openalex.org/W2518091260","https://openalex.org/W2530932436","https://openalex.org/W2539781657","https://openalex.org/W2549412929","https://openalex.org/W2603341501","https://openalex.org/W2612191280","https://openalex.org/W2963165299"],"related_works":["https://openalex.org/W2733029865","https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1991837421","https://openalex.org/W1503094549","https://openalex.org/W2955098766","https://openalex.org/W2269136550","https://openalex.org/W2337920774","https://openalex.org/W4286908577"],"abstract_inverted_index":{"Fine-grained":[0],"real-time":[1],"movement":[2,69],"prediction":[3,64,199],"is":[4,87,102,189],"becoming":[5],"increasingly":[6],"important,":[7],"with":[8,27],"smartphones":[9],"and":[10,16,109,179],"vehicles":[11],"constantly":[12],"tracking":[13,37],"our":[14,20,182],"position":[15,119],"trying":[17],"to":[18,23,45,52,76,104,115,175,191,196],"guess":[19],"next":[21],"location":[22],"timely":[24],"provide":[25],"us":[26],"recommendations,":[28],"traffic":[29],"forecasts,":[30],"or":[31,123,137],"driver":[32],"assistance.":[33],"Depending":[34],"on":[35,90],"the":[36,39,54,83,98,117],"accuracy,":[38],"recorded":[40],"locations":[41],"are":[42],"first":[43],"mapped":[44],"street":[46,85],"segments,":[47],"using":[48],"a":[49,67,91,121],"mobility":[50,177,198],"model":[51,70],"choose":[53],"most":[55],"likely":[56,78],"road":[57],"in":[58,172],"case":[59],"of":[60,120,132,148,161],"ambiguities.":[61],"The":[62],"main":[63],"procedure":[65],"uses":[66],"similar":[68],"(possibly":[71],"incorporating":[72],"additional":[73],"user-specific":[74],"data)":[75],"assess":[77,154],"future":[79],"travel":[80],"choices.":[81],"While":[82],"exact":[84,118],"topology":[86],"not":[88],"essential":[89],"very":[92],"high":[93],"level":[94],"(e.g.,":[95],"when":[96],"predicting":[97],"\"next":[99],"place\"":[100],"someone":[101],"going":[103],"be),":[105],"it":[106],"becomes":[107],"more":[108,110],"important":[111],"if":[112],"we":[113,153,180],"try":[114],"predict":[116],"person":[122],"vehicle.":[124],"Similarly,":[125],"different":[126,146,173,201],"data":[127,168,195],"sources":[128],"(such":[129],"as":[130],"points":[131],"interest,":[133],"land":[134],"use":[135,192],"zones,":[136],"building":[138],"footprints)":[139],"should":[140],"be":[141,170],"used":[142,171],"for":[143,184],"predictions":[144],"at":[145,200],"levels":[147],"accuracy.":[149],"In":[150],"this":[151,167],"paper,":[152],"current":[155],"research":[156],"trends":[157],"concerning":[158],"various":[159],"types":[160],"volunteered":[162],"geographical":[163],"information":[164],"(VGI),":[165],"how":[166],"can":[169],"models":[174],"compute":[176],"predictions,":[178],"present":[181],"vision":[183],"an":[185],"integrated":[186],"system":[187],"that":[188],"able":[190],"crowdsourced":[193],"geographic":[194],"perform":[197],"levels.":[202]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-06-21T00:00:00"}
