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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003583naa a2200577 4500
001oai:DiVA.org:kth-287134
003SwePub
008201202s2020 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2871342 URI
0247 a https://doi.org/10.1007/s41060-020-00207-32 DOI
040 a (SwePub)kth
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Andrienko, G.4 aut
2451 0a (So) Big Data and the transformation of the city
264 c 2020-03-31
264 1b Springer,c 2020
338 a print2 rdacarrier
500 a QC 20201202AIP
520 a The exponential increase in the availability of large-scale mobility data has fueled the vision of smart cities that will transform our lives. The truth is that we have just scratched the surface of the research challenges that should be tackled in order to make this vision a reality. Consequently, there is an increasing interest among different research communities (ranging from civil engineering to computer science) and industrial stakeholders in building knowledge discovery pipelines over such data sources. At the same time, this widespread data availability also raises privacy issues that must be considered by both industrial and academic stakeholders. In this paper, we provide a wide perspective on the role that big data have in reshaping cities. The paper covers the main aspects of urban data analytics, focusing on privacy issues, algorithms, applications and services, and georeferenced data from social media. In discussing these aspects, we leverage, as concrete examples and case studies of urban data science tools, the results obtained in the “City of Citizens” thematic area of the Horizon 2020 SoBigData initiative, which includes a virtual research environment with mobility datasets and urban analytics methods developed by several institutions around Europe. We conclude the paper outlining the main research challenges that urban data science has yet to address in order to help make the smart city vision a reality.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Systemvetenskap, informationssystem och informatik0 (SwePub)102022 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Information Systems0 (SwePub)102022 hsv//eng
653 a Big data
653 a Mobility datasets
653 a SoBigData
653 a Urban data science
7001 a Andrienko, N.4 aut
7001 a Boldrini, C.4 aut
7001 a Caldarelli, G.4 aut
7001 a Cintia, P.4 aut
7001 a Cresci, S.4 aut
7001 a Facchini, A.4 aut
7001 a Giannotti, F.4 aut
7001 a Gionis, Aristidesu KTH,Teoretisk datalogi, TCS4 aut0 (Swepub:kth)u10gvwdr
7001 a Guidotti, R.4 aut
7001 a Mathioudakis, M.4 aut
7001 a Muntean, C. I.4 aut
7001 a Pappalardo, L.4 aut
7001 a Pedreschi, D.4 aut
7001 a Pournaras, E.4 aut
7001 a Pratesi, F.4 aut
7001 a Tesconi, M.4 aut
7001 a Trasarti, R.4 aut
7102 a KTHb Teoretisk datalogi, TCS4 org
7730 t International Journal of Data Science and Analyticsd : Springerx 2364-415Xx 2364-4168
8564 u https://doi.org/10.1007/s41060-020-00207-3y Fulltext
8564 u https://link.springer.com/content/pdf/10.1007/s41060-020-00207-3.pdf
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-287134
8564 8u https://doi.org/10.1007/s41060-020-00207-3

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