An orchestration approach to smart city data ecosystems

被引:55
|
作者
Gupta, Anushri [1 ]
Panagiotopoulos, Panos [1 ]
Bowen, Frances [2 ,3 ]
机构
[1] Queen Mary Univ London, Sch Business & Management, Mile End Rd, London E1 4NS, England
[2] Univ East Anglia, Norwich Business Sch, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England
[3] Univ East Anglia, Social Sci, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England
关键词
Smart cities; Data ecosystems; Orchestration; Local government; London city data; BIG DATA; DATA INITIATIVES; NETWORK; GOVERNMENT; INNOVATION; GOVERNANCE; CITIES; INFRASTRUCTURE; FRAMEWORK; DYNAMICS;
D O I
10.1016/j.techfore.2020.119929
中图分类号
F [经济];
学科分类号
02 ;
摘要
Research on smart cities has illustrated the use of data analytics, open data, smart sensors and other data-intensive applications that have significant potential to transform urban environments. As the complexity and intensity of these projects has increased, there is a need to understand smart city data ecosystems as an integrated view of data applications by the various city entities that operate within an institutional environment. This paper examines how authorities involved in such ecosystems coordinate data initiatives from an orchestration perspective. A case study of London's city data initiatives highlights the challenges faced in complex city data environments and the importance of an integrated view. Three elements of orchestration in smart city data ecosystems - namely openness, diffusion and shared vision- are identified as the main enablers of city data initiatives within London's local government authorities. The study contributes to our theoretical understanding of orchestration within data ecosystems, as well as the social and technological impacts of city data.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Big Data and Smart City Platforms
    Oktug, Sema F.
    Yaslan, Yusuf
    2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
  • [42] Addressing exploitability of Smart City data
    Daga, Enrico
    d'Aquin, Mathieu
    Adamou, Alessandro
    Motta, Enrico
    IEEE SECOND INTERNATIONAL SMART CITIES CONFERENCE (ISC2 2016), 2016, : 184 - 189
  • [43] The role of big data in smart city
    Hashem, Ibrahim Abaker Targio
    Chang, Victor
    Anuar, Nor Badrul
    Adewole, Kayode
    Yaqoob, Ibrar
    Gani, Abdullah
    Ahmed, Ejaz
    Chiroma, Haruna
    INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2016, 36 (05) : 748 - 758
  • [44] Architecture and Data Vitalization of Smart City
    Yuan Yuan-ming
    Qin Xue
    Wu Chan-le
    Tang Tao-zhou
    MEMS, NANO AND SMART SYSTEMS, PTS 1-6, 2012, 403-408 : 2564 - +
  • [45] Distributed Smart Space Orchestration
    Pahl, Marc-Oliver
    Cade, Georg
    Klinker, Gudrun
    NOMS 2016 - 2016 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, 2016, : 979 - 984
  • [46] Lighting-Enabled Smart City Applications and Ecosystems Based on the IoT
    Murthy, Abhishek
    Han, Dong
    Jiang, Dan
    Oliveira, Talmai
    2015 IEEE 2ND WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2015, : 757 - 763
  • [47] A scalable approach for smart city data platform: Support of real-time processing and data sharing
    Vitor, Goncalo
    Rito, Pedro
    Sargento, Susana
    Pinto, Filipe
    COMPUTER NETWORKS, 2022, 213
  • [48] Integrating Online Data for Smart City Data Marts
    Scriney, Michael
    O'Connor, Martin F.
    Roantree, Mark
    DATA ANALYTICS, 2017, 10365 : 23 - 35
  • [49] Smart City: An Approach from the View of Smart Urban Governance
    Hung Viet Ngo
    Quan Le
    INTERNATIONAL JOURNAL OF SUSTAINABLE CONSTRUCTION ENGINEERING AND TECHNOLOGY, 2021, 12 (01): : 314 - 322
  • [50] A Multifaceted Approach to Smart Energy City Concept through Using Big Data Analytics
    Horban, Vasylyna
    PROCEEDINGS OF THE 2016 IEEE FIRST INTERNATIONAL CONFERENCE ON DATA STREAM MINING & PROCESSING (DSMP), 2016, : 392 - 396