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作者

来源

CITIES,Vol.82,P.86-99

语言

英文

关键字

Smart city; Big data; Reference model; Challenge; Consideration; SUSTAINABLE CITIES; CITY APPLICATIONS; HEALTH PARADIGM; FRAMEWORK; CONTEXT; SERVICES; INNOVATION; CITIZENS; FUTURE; IOT

作者单位

[Lim, Chiehyeon] Ulsan Natl Inst Sci & Technol, Sch Management Engn, 50 Unist Gil, Ulsan 44919, South Korea. [Kim, Kwang-Jae] Pohang Univ Sci & Technol, Dept Ind & Management Engn, San 31, Pohang 790784, Gyeongbuk, South Korea. [Maglio, Paul P.] Univ Calif Merced, Sch Engn, Ernest & Julio Gallo Management Program, Merced, CA 95343 USA. Lim, C (reprint author), Ulsan Natl Inst Sci & Technol, Sch Management Engn, 50 Unist Gil, Ulsan 44919, South Korea. E-Mail: chlim@unist.ac.kr; kjk@postech.ac.kr; pmaglio@ucmerced.edu

摘要

Cities worldwide are attempting to transform themselves into smart cities. Recent cases and studies show that a key factor in this transformation is the use of urban big data from stakeholders and physical objects in cities. However, the knowledge and framework for data use for smart cities remain relatively unknown. This paper reports findings from an analysis of various use cases of big data in cities worldwide and the authors' four projects with government organizations toward developing smart cities. Specifically, this paper classifies the urban data use cases into four reference models and identifies six challenges in transforming data into information for smart cities. Furthermore, building upon the relevant literature, this paper proposes five considerations for addressing the challenges in implementing the reference models in real-world applications. The reference models, challenges, and considerations collectively form a framework for data use for smart cities. This paper will contribute to urban planning and policy development in the modem data-rich economy.