{"id":12991,"date":"2021-06-17T11:00:00","date_gmt":"2021-06-17T14:00:00","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/?p=12991"},"modified":"2022-10-18T08:09:15","modified_gmt":"2022-10-18T11:09:15","slug":"urban-computing-challenges-big-cities","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/et\/linnaarvutid-ulesanded-suurlinnad\/","title":{"rendered":"Urban Computing: Suurlinnade suurte v\u00e4ljakutsetega tegelemine"},"content":{"rendered":"<p>T\u00e4nap\u00e4eval seisavad suurlinnad silmitsi suurte probleemidega, nagu liiklusummikud, \u00f5husaaste ja energiatarbimine. Neid suuri probleeme suurlinnades saab lahendada, kui kasutada <a href=\"https:\/\/en.wikipedia.org\/wiki\/Big_data\"><strong>suured andmed<\/strong><\/a> (mis t\u00e4hendab suurte andmemahtude t\u00f6\u00f6tlemist).<\/p>\n\n\n\n<p>Just see ongi see, mis on linnaruumi arvutamine. Seda v\u00f5ib lihtsalt m\u00e4\u00e4ratleda kui <em>suurandmete kasutamine suurlinnade suurte probleemidega toimetulekuks<\/em>.<\/p>\n\n\n\n<p>R\u00e4\u00e4gime sellest l\u00e4hemalt.<\/p>\n\n\n\n<p>Linnaruumi informaatika h\u00f5lmab linnaruumis erinevate allikate poolt genereeritud suurte ja heterogeensete andmete kogumise, integreerimise ja anal\u00fc\u00fcsi protsessi. Sellisteks andmeallikateks on andurid, mobiilseadmed, s\u00f5idukid, hooned ja inimesed.<\/p>\n\n\n\n<p class=\"has-large-font-size\"><strong>Mis on Urban Computing?<\/strong><\/p>\n\n\n\n<p>Dokumendis pealkirjaga \"<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/2629592\">Linnaarvutid: m\u00f5isted, metoodika ja rakendused<\/a>\" tutvustavad autorid \u00fcldist raamistikku linnaruumiarvutuse rakendamiseks.<\/p>\n\n\n\n<p>Urban Computing \u00fchendab mittekohalduvaid ja k\u00f5ikjal kasutatavaid andmesidetehnoloogiaid, t\u00e4iustatud andmehaldust, anal\u00fc\u00fctilisi mudeleid ja uudseid visualiseerimismeetodeid, et luua lahendusi, mis parandavad linnakeskkonda, inimeste elukvaliteeti ja linnade toimimiss\u00fcsteeme.<\/p>\n\n\n\n<p>Samuti peame r\u00f5hutama, et linnainformaatika on interdistsiplinaarne valdkond. See \u00fchendab arvutiteaduse teiste valdkondadega, nagu transport, tsiviilehitus, majandus, \u00f6koloogia ja sotsioloogia, linnaruumi kontekstis.<\/p>\n\n\n\n<p>T\u00f5en\u00e4oliselt on suur k\u00fcsimus, mis kummitab teie m\u00f5tetes: kuidas rakendada Urban computing'i, et \u00fcletada suurlinnade probleeme?<\/p>\n\n\n\n<p>Noh, hea uudis, selleks on olemas raamistik!<\/p>\n\n\n\n<p class=\"has-large-font-size\"><strong>Urban Computing Framework<\/strong><\/p>\n\n\n\n<p>Dokumendis pealkirjaga \"<a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/2629592\">Linnaarvutid: m\u00f5isted, metoodika ja rakendused<\/a>\" tutvustavad autorid \u00fcldist raamistikku linnaruumiarvutuse rakendamiseks.<\/p>\n\n\n\n<p>Raamistik koosneb neljast kihist: Linnatundlikkus, linnade andmehaldus, andmeanal\u00fc\u00fcs ja teenuste osutamine. Igal kihil on konkreetne funktsioon.<\/p>\n\n\n\n<p>The <strong>Linnatundlikkus<\/strong> kiht vastutab andmete kogumise eest linnaruumist. Andmete kogumine v\u00f5ib toimuda erinevate tehnikate abil, nagu n\u00e4iteks osalusvaatlus, rahvastiku vaatlus ja mobiilne vaatlus.<\/p>\n\n\n\n<p>The <strong>Linnade andmehaldus<\/strong> kiht v\u00f5imaldab andmete organiseerimist mingi indekseerimisstruktuuri abil, mis h\u00f5lmab nii ruumilis-ajalist teavet kui ka tekste, et toetada t\u00f5husat andmeanal\u00fc\u00fcsi.<\/p>\n\n\n\n<p>In the<strong> Andmeanal\u00fc\u00fcsi kiht<\/strong>, erinevad tehnikad nagu <a href=\"https:\/\/en.wikipedia.org\/wiki\/Data_mining\">Andmete kaevandamine<\/a>, <a href=\"https:\/\/en.wikipedia.org\/wiki\/Machine_learning\">Masin\u00f5pe<\/a>ja <a href=\"https:\/\/en.wikipedia.org\/wiki\/Data_visualization\">Andmete visualiseerimine<\/a> kasutatakse selleks, et tuvastada andmetes mustreid ja saada neist v\u00e4\u00e4rtuslikku teavet edasiste otsuste tegemiseks.<\/p>\n\n\n\n<p>The <strong>Teenuse osutamine<\/strong> kiht koosneb erinevatest lahendustest ja teenustest, mille eesm\u00e4rk on parandada inimeste s\u00f5idukogemust, v\u00e4hendada liiklusummikuid, \u00f5husaastet ja energiatarbimist.  N\u00e4iteks mis tahes liiklusanomaaliate tuvastamise korral edastatakse see teave transpordiasutusele, et hajutada liiklust ja diagnoosida anomaalia.<\/p>\n\n\n\n<p class=\"has-large-font-size\"><strong>Milliste v\u00e4ljakutsetega seisab Urban Computing silmitsi?<\/strong><\/p>\n\n\n\n<p>Ideaalse rakendamise puhul seisab Urban Computing silmitsi kolme suure probleemiga: <\/p>\n\n\n\n<p class=\"has-medium-font-size\">1.<strong>Andmete kogumine ja andmekogumine.<\/strong><\/p>\n\n\n\n<p>See v\u00e4ljakutse k\u00e4sitleb seda, kuidas koguda linnade andmeid mitte-intrusiivselt ja pidevalt, v\u00f5ttes arvesse linnas jaotatud andurite arvu piiranguid.&nbsp;<\/p>\n\n\n\n<p>Uute andurite ehitamine v\u00f5iks saavutada eesm\u00e4rgi, kuid see suurendaks linnade koormust.<\/p>\n\n\n\n<p>Inimene kui andur on uus kontseptsioon, mis v\u00f5ib aidata seda probleemi lahendada, kasutades nende postitusi sotsiaalmeedias v\u00f5i nende GPS-j\u00e4lgi, et m\u00f5ista nende \u00fcmber toimuvaid s\u00fcndmusi.<\/p>\n\n\n\n<p>Inimene kui andur toob uusi v\u00e4ljakutseid, nagu:<\/p>\n\n\n\n<ul><li>Seadmete energiakasutuse suurendamine;<\/li><li>Isikuandmete privaatsus;<\/li><li>V\u00f5rdlusandmed, kuna kasutajad ei ole \u00fchtlaselt jaotunud ja nad ei saada m\u00f5\u00f5tmisandmeid sama sagedusega;<\/li><li>Struktureerimata, kaudsed ja m\u00fcrarikkad andmed, mida kasutajad on esitanud. Seevastu traditsiooniliste andurite poolt genereeritud andmed on h\u00e4sti struktureeritud, selges\u00f5nalised, puhtad ja kergesti m\u00f5istetavad.&nbsp;<\/li><\/ul>\n\n\n\n<p class=\"has-medium-font-size\">2. <strong>Heterogeensed andmed.<\/strong><\/p>\n\n\n\n<p>Andmete kaevandamise ja masin\u00f5ppe meetodid k\u00e4sitlevad tavaliselt \u00fchte liiki andmeid. Linnade probleemide lahendamine h\u00f5lmab aga mitmesuguseid tegureid (n\u00e4iteks \u00f5husaaste uurimine h\u00f5lmab samaaegselt liiklusvoogude, meteoroloogia ja maakasutuse uurimist).<\/p>\n\n\n\n<p class=\"has-medium-font-size\">3. <strong>H\u00fcbriids\u00fcsteemid.<\/strong><\/p>\n\n\n\n<p>Erinevalt otsingumootorist v\u00f5i digitaalsest m\u00e4ngust, kus andmed genereeritakse ja tarbitakse digitaalses maailmas, integreerib linnalahendus tavaliselt m\u00f5lema maailma andmeid (\u00fchendades liikluse ja sotsiaalmeedia).<\/p>\n\n\n\n<p>H\u00fcbriids\u00fcsteemide projekteerimine on palju keerulisem kui tavap\u00e4raste s\u00fcsteemide puhul, sest s\u00fcsteem peab suhtlema paljude seadmete ja kasutajatega samaaegselt ning saatma ja vastu v\u00f5tma eri formaadis andmeid.<\/p>\n\n\n\n<p class=\"has-large-font-size\"><strong>Millised on linnaruumiarvutuse peamised rakendused?<\/strong><\/p>\n\n\n\n<p>Urban Computing'i rakendusi v\u00f5ib olla lugematu hulk.<\/p>\n\n\n\n<p>Rakendused v\u00f5ib r\u00fchmitada seitsmesse kategooriasse: linnaplaneerimine, transport, keskkond, avalik ohutus ja turvalisus, energia, majandus, \u00f6koloogia ja sotsiaalvaldkond.<\/p>\n\n\n\n<p>Siin on v\u00e4ga l\u00fchike kirjeldus iga\u00fche kohta:<\/p>\n\n\n\n<ul><li><strong>Linnaplaneerimine<\/strong>.&nbsp;<\/li><\/ul>\n\n\n\n<p>Planeerimine on arukate linnade ehitamisel oluline. See kategooria h\u00f5lmab transpordiv\u00f5rkude p\u00f5hiprobleemide tuvastamist, linna funktsionaalsete piirkondade avastamist (n\u00e4iteks piirkonnad, mis toetavad inimeste erinevaid vajadusi ja toimivad korraldusmeetodina, n\u00e4iteks hariduspiirkonnad v\u00f5i \u00e4rikvartalid) ning linna piiride tuvastamist, et m\u00f5ista selle arengut.<\/p>\n\n\n\n<ul><li><strong>Transport.<\/strong>&nbsp;<\/li><\/ul>\n\n\n\n<p>Sellesse kategooriasse kuuluvad: s\u00f5idukogemuse parandamine, taksoteenused ja \u00fchistranspordis\u00fcsteemid.<\/p>\n\n\n\n<ul><li><strong>Keskkond.<\/strong>&nbsp;<\/li><\/ul>\n\n\n\n<p>Linnastumise kiire areng muutub potentsiaalseks ohuks linnade keskkonnale. Keskkonnale suunatud linnakeskkonna arvutamine h\u00f5lmab j\u00e4rgmist: linnade \u00f5hukvaliteedi parandamine ja m\u00fcrasaaste v\u00e4hendamine.<\/p>\n\n\n\n<ul><li><strong>Avalik turvalisus ja julgeolek.<\/strong>&nbsp;<\/li><\/ul>\n\n\n\n<p>Siinkohal v\u00f5ib loetleda j\u00e4rgmised rakendused: liiklusanomaaliate tuvastamine, katastroofide tuvastamine ja \u00f5nnetuste tuvastamine.<\/p>\n\n\n\n<ul><li><strong>Energiatarbimine.<\/strong>&nbsp;<\/li><\/ul>\n\n\n\n<p>Kiire linnastumine tarbib \u00fcha rohkem energiat. Selle kategooria rakendused on gaasi- ja elektritarbimise v\u00e4hendamine.<\/p>\n\n\n\n<ul><li><strong>Majandus.<\/strong>&nbsp;<\/li><\/ul>\n\n\n\n<p>Linna d\u00fcnaamika v\u00f5ib n\u00e4idata linna majanduse suundumusi. N\u00e4ide selle kategooria rakendusest on aktsiaturu suundumuse ennustamine.<\/p>\n\n\n\n<ul><li><strong>Sotsiaalne.<\/strong><\/li><\/ul>\n\n\n\n<p>Selle kategooria rakendused on asukohasoovitused, marsruudi planeerimine, asukoha ja tegevuse soovitamine ning linna d\u00fcnaamika m\u00f5istmine.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/06\/preview-348518.png\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"768\" src=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/06\/preview-348518-1024x768.png\" alt=\"roheline linn\" class=\"wp-image-13003\" srcset=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/06\/preview-348518-1024x768.png 1024w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/06\/preview-348518-300x225.png 300w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/06\/preview-348518-768x576.png 768w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/06\/preview-348518-1536x1152.png 1536w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/06\/preview-348518-2048x1536.png 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<p class=\"has-large-font-size\"><strong>Kas on olemas m\u00f5ned tehnoloogiad, mis v\u00f5imaldavad linnaruumi infotehnoloogiat?<\/strong><\/p>\n\n\n\n<p>Urban Computingi jaoks on olemas mitu tehnoloogiat, mis on r\u00fchmitatud kategooriatesse. K\u00f5ige sagedamini kasutatavad kategooriad on j\u00e4rgmised:&nbsp;<\/p>\n\n\n\n<p>Linnatundlikud tehnikad. Traditsiooniline m\u00f5\u00f5tmine ja m\u00f5\u00f5tmine andurite paigaldamise teel, passiivne rahvahulga tuvastamine, mille puhul kasutatakse olemasolevat infrastruktuuri rahvahulga poolt genereeritud andmete kogumiseks, ja osalusandurite tuvastamine, mille puhul inimesed annavad aktiivselt oma panuse neid \u00fcmbritseva teabe kogumisse;<\/p>\n\n\n\n<p>Linnade andmehaldustehnikad v\u00f5imaldavad korraldada mitmeid heterogeenseid andmeallikaid j\u00e4rgmise andmekaeve protsessi jaoks;<\/p>\n\n\n\n<p>Teadmiste \u00fchendamise meetodid v\u00f5imaldavad t\u00f5husalt \u00fchendada mitmest heterogeensest andmeallikast saadud teadmisi;<\/p>\n\n\n\n<p>Linnade andmete visualiseerimise meetodid ei peaks mitte ainult n\u00e4itama toorandmeid ja esitama tulemusi, vaid ka v\u00f5imaldama tuvastada ja kirjeldada mustreid, suundumusi ja seoseid andmetes.<\/p>\n\n\n\n<p>Nagu n\u00e4ete, v\u00f5ib Urban Computing olla v\u00e4ga kasulik vahend kaasaegsete linnade peamiste probleemide lahendamiseks.<\/p>\n\n\n\n<p>Probleemid, millega Urban Computing silmitsi seisab, saavad l\u00f5puks lahendatud, mis v\u00f5imaldab meile paremat tulevikku meie linnade jaoks.<\/p>\n\n\n\n<p><strong>Viited<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/2629592\">Zheng, Y., Capra, L., Wolfson, O., &amp; Yang, H. (2014). Urban computing: kontseptsioonid, metoodikad ja rakendused. <em>ACM Transactions on Intelligent Systems and Technology (TIST).<\/em>, <em>5<\/em>(3), 1-55.<\/a><\/p>\n\n\n\n<p>T.  Kindberg, M. Chalmers ja E. Paulos.  2007.  K\u00fclalistoimetajate sissejuhatus:  Urban computing. Pervasive Computing 6, 3, 18-20.<\/p>\n\n\n\n<p><a href=\"https:\/\/ideas.repec.org\/a\/igg\/jksr00\/v7y2016i1p113-119.html\">Torres-Ruiz, Miguel &amp; Lytras, Miltiadis. (2016). Urban Computing and Smart Cities Applications for the Knowledge Society. International Journal of Knowledge Society Research. 7. 113-119. 10.4018\/IJKSR.2016010108.<\/a><\/p>\n\n\n\n<p>Kl\u00f5psake alloleval pildil, et vaadata meie Mind the Graph illustratsioone linnaarvutite jaoks.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><a href=\"https:\/\/mindthegraph.com\/app\/illustrations?search=urban%20computing\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"643\" src=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/06\/image-1-1024x643.png\" alt=\"\" class=\"wp-image-13046\" srcset=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/06\/image-1-1024x643.png 1024w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/06\/image-1-300x188.png 300w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/06\/image-1-768x482.png 768w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/06\/image-1.png 1286w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure><\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>T\u00e4nap\u00e4eval seisavad suurlinnad silmitsi suurte probleemidega, nagu liiklusummikud, \u00f5husaaste ja energiatarbimine. Neid suuri probleeme suurlinnades saab lahendada, kasutades suurandmeid (mis t\u00e4hendab suurte andmemahtude t\u00f6\u00f6tlemist). Just see ongi linnaruumi arvutamine. Seda v\u00f5ib m\u00e4\u00e4ratleda lihtsalt kui suurandmete kasutamist [...]<\/p>","protected":false},"author":18,"featured_media":13002,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[554,250],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Urban Computing Challenges in Big Cities<\/title>\n<meta name=\"description\" content=\"Urban Computing gathers a large amount of data with the purpose to create solutions that improve the big cities&#039; environment and human life quality.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mindthegraph.com\/blog\/et\/linnaarvutid-ulesanded-suurlinnad\/\" \/>\n<meta property=\"og:locale\" content=\"et_EE\" \/>\n<meta property=\"og:type\" content=\"article\" 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