Cited by 83Smart Cities and TechnologiesAI and Big Data ApplicationsBig Data Technologies and Applications

Big Data Science and Analytics for Smart Sustainable Urbanism: Unprecedented Paradigmatic Shifts and Practical Advancements

Bibri, Simon Elias·2019·Advances in Science, Technology & Innovation

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Crossref · 10.1007/978-3-030-17312-8

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  • The modern city is turning into constellations of instruments and computers across many scales and morphing into a haze of software instructions, which are becoming essential to the operational functioning, planning, design, development, and governance of the city.

    “The modern city is turning into constellations of instruments and computers across many scales and morphing into a haze of software instructions, which are becoming essential to the operational functioning, planning, design, development, and governance of the city [23].”
  • The evolving data deluge resulting from the increasing availability of data generated in continuous streams on a daily basis is pushing research on and the use of big data analytics to expand remarkably and its technologies to proliferate in urban domains on a massive scale.

    “The evolving data deluge resulting from the increasing availability of the data being generated in continuous streams on daily basis (e.g., [15,23,79]) is pushing research on and the use of big data analytics to expand remarkably and its technologies to proliferate in urban domains on a massive scale.”
  • The data deluge enables real-time analysis of different urban systems and interconnects data across different urban domains to provide detailed views of relationships between different forms of data that can be utilized for advancing urbanity, and provides the raw material for envisioning more sustainable, efficient, resilient, and livable cities.

    “This data deluge enables the realtime analysis of different urban systems and interconnects data across different urban domains to provide detailed views of the relationships between different forms of data that can be utilized for advancing the various aspects of urbanity through new modes of operational functioning, planning, design, development, and governance in the context of sustainability,”
  • Big data generated in smart and smarter cities consists of exabytes or terabytes of data, is structured and unstructured in nature, is often tagged with spatial and temporal labels, and is commonly streamed from a large number and variety of sources.

    “Consisting of exabytes or terabytes of data; • Being structured and unstructured in nature; • Being often tagged with spatial and temporal labels; being commonly streamed from a large number and variety of sources;”
  • Most of the challenges of big data analytics and its application arise from the nature of the data generated in smart and smarter cities in terms of their attributes.

    “Most of the challenges of big data analytics and its application arise from the nature of the data generated in smart and smarter cities in terms of their attributes in terms of (e.g., [16,20,23,79,86,95,96,146]):”

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Authors
Bibri, S. E.
Affiliations
Norwegian University of Science and Technology (NO)
Corresponding author
Bibri, Simon Elias
Venue
Advances in Science, Technology & Innovation
Published
2019
ISSN
  • 2522-8714 (ISSN-L)
  • 2522-8722
OpenAlex
W4252106106
Cited by
83
References
0
Citations by year
2026: 1 · 2025: 10 · 2024: 12 · 2023: 9 · 2022: 8 · 2021: 11 · 2020: 25 · 2019: 7
FWCI
9.84
Type
book
Language
en
Open access
closed
Locations
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (publishedVersion)
Topics
  • Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
  • Physical Sciences › Computer Science › Information Systems › AI and Big Data Applications
  • Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
Keywords
big data, data-driven urbanism, smart cities, sustainable urban design, urban sustainability, urban systems, data analytics

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