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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Citizen-centered big data analysis-driven governance intelligence framework for smart cities
ترجمه فارسی عنوان مقاله:
چارچوب هوشمندانه دولتی تحیل گرا داده های بزرگ شهروند محور برای شهرهای هوشمند
منبع:
Sciencedirect - Elsevier - Telecommunications Policy, Corrected proof: doi:10:1016/j:telpol:2018:01:003
نویسنده:
Jingrui Ju, Luning Liu *, Yuqiang Feng
چکیده انگلیسی:
Sensors and systems within rapidly expanding smart cities produce citizen-centered big data
which have potential value to support citizen-centered urban governance decision-making. There
exists a wealth of extant conceptual studies, however, further operational studies are needed to
establish a specific path towards implementation of such data to governance decision-making with
analytical algorithms that are appropriate for each step of the path. This paper proposes
a framework for the use of citizen-centered big data analysis to drive governance intelligence in
smart cities from two perspectives: urban governance issues and data-analysis algorithms. The
framework consists of three layers: 1) A data-merging layer, which builds a citizen-centered
panoramic data set for each citizen by merging citizen-related big data from multiple sources in
collaborative urban governance via similarity calculation and conflict resolution; 2) a knowledge
discovery layer, which plots the citizen profile and citizen persona at both individual and group
levels in terms of urban public service delivery and citizen participation via simple statistical
analysis techniques, machine learning, and econometrics methods; and 3) a decision-making layer,
which uses ontology models to standardize urban governance-related attributes, personas, and
associations to support governance decision-making via data mining and Bayesian Net techniques.
Finally, the proposed framework is validated in a case study on blood donation governance in
China. This research highlights the value of citizen-centered big data, pushes data-to-decision
research from conceptual to operational, synthesizes previously published frameworks for
citizen-centered big data analysis in smart cities, and enhances the mutual supplement cross
multiple disciplinaries.
Keywords: Citizen-centered big data ، Governance intelligence ، Smart cities ، Data-analysis algorithm ، Data merging ، Citizen profile ، Citizen persona ،
Ontology model
قیمت: رایگان
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