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Smart Cities in Taiwan: A Perspective on Big Data Applications

Author

Listed:
  • Shiann Ming Wu

    (College of Business Administration, National Huaqiao University, Quanzhou 362021, China)

  • Tsung-chun Chen

    (College of Business Administration, National Huaqiao University, Quanzhou 362021, China)

  • Yenchun Jim Wu

    (College of Business Administration, National Huaqiao University, Quanzhou 362021, China
    Graduate Institute of Global Business and Strategy, National Taiwan Normal University, Taipei 10645, Taiwan)

  • Miltiadis Lytras

    (Management Information Systems, The American College of Greece, Athens 15342, Greece
    Distinguished Scientist, King Abdulziz University, Jeddah 21589, Saudi Arabia)

Abstract

In this paper, we discuss the concept of a smart city based on information and communication technology (ICT), analyze the objectives of smart city development in Taiwan, and explain the supporting technologies that make such development possible. Subsequently, we propose a hierarchical structure framework of smart city systems with levels of complexity ranging from low to high and interconnections and interactive relationships in five dimensions: the Internet of Things (IoT), cloud computing, Big Data, Mobile Network, and smart business. We integrate each key resource of the core operation systems of cities to promote the innovative operation of cities and further optimize city development. We then propose a Big Data platform data flow framework that uses information from ubiquitous sensor networks and information equipment to analyze the Big Data application process of smart cities and determine the resulting advantages and challenges. Additionally, we analyze the current state of development of smart cities in Taiwan. Finally, we discuss a new philosophy of smart city development and provide a practical blueprint for the formation, operation, and development of the smart cities with the aim of creating a bright future for the smart cities of Taiwan.

Suggested Citation

  • Shiann Ming Wu & Tsung-chun Chen & Yenchun Jim Wu & Miltiadis Lytras, 2018. "Smart Cities in Taiwan: A Perspective on Big Data Applications," Sustainability, MDPI, vol. 10(1), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:1:p:106-:d:125445
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    References listed on IDEAS

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    Cited by:

    1. Shiann Ming Wu & Dongqiang Guo & Yenchun Jim Wu & Yung Chang Wu, 2018. "Future Development of Taiwan’s Smart Cities from an Information Security Perspective," Sustainability, MDPI, vol. 10(12), pages 1-18, November.
    2. Miltiadis D. Lytras & Anna Visvizi, 2018. "Who Uses Smart City Services and What to Make of It: Toward Interdisciplinary Smart Cities Research," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    3. Kyunghun Min & Moonyoung Yoon & Katsunori Furuya, 2019. "A Comparison of a Smart City’s Trends in Urban Planning before and after 2016 through Keyword Network Analysis," Sustainability, MDPI, vol. 11(11), pages 1-25, June.
    4. Gabriel Koman & Dominika Tumová & Radoslav Jankal & Martin Mičiak, 2022. "Business-making supported via the application of big data to achieve economic sustainability," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(4), pages 336-358, June.
    5. Ming-Tsang Lu & Hsi-Peng Lu & Chiao-Shan Chen, 2022. "Exploring the Key Priority Development Projects of Smart Transportation for Sustainability: Using Kano Model," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    6. Sewoong Hwang & Zoonky Lee & Jonghyuk Kim, 2019. "Real-Time Pedestrian Flow Analysis Using Networked Sensors for a Smart Subway System," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    7. Pei Pei & Zongjie Huo & Oscar Sanjuán Martínez & Rubén González Crespo, 2020. "Minimal Green Energy Consumption and Workload Management for Data Centers on Smart City Platforms," Sustainability, MDPI, vol. 12(8), pages 1-14, April.
    8. Yung Chang Wu & Rui Sun & Yenchun Jim Wu, 2020. "Smart City Development in Taiwan: From the Perspective of the Information Security Policy," Sustainability, MDPI, vol. 12(7), pages 1-18, April.
    9. Anna Visvizi & Miltiadis D. Lytras, 2018. "It’s Not a Fad: Smart Cities and Smart Villages Research in European and Global Contexts," Sustainability, MDPI, vol. 10(8), pages 1-10, August.
    10. Hone-Jay Chu & Yu-Chen He & Wachidatin Nisa’ul Chusnah & Lalu Muhamad Jaelani & Chih-Hua Chang, 2021. "Multi-Reservoir Water Quality Mapping from Remote Sensing Using Spatial Regression," Sustainability, MDPI, vol. 13(11), pages 1-13, June.
    11. Kyunghun Min & Baysok Jun & Jaehyuck Lee & Hong Kim & Katsunori Furuya, 2019. "Analysis of Environmental Issues with an Application of Civil Complaints: The Case of Shiheung City, Republic of Korea," IJERPH, MDPI, vol. 16(6), pages 1-21, March.
    12. Munan Li, 2019. "Visualizing the studies on smart cities in the past two decades: a two-dimensional perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 683-705, August.
    13. Gabriel Koman & Martin Holubcik & Milan Kubina, 2018. "Descriptive representation about transformation of company by using current technologies and tools for analytical processing and evaluation of diverse data," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 19(1), pages 89-101.
    14. Yu Zhao & Guoqin Zhang & Tao Lin & Xiaofang Liu & Jiakun Liu & Meixia Lin & Hong Ye & Lingjie Kong, 2018. "Towards Sustainable Urban Communities: A Composite Spatial Accessibility Assessment for Residential Suitability Based on Network Big Data," Sustainability, MDPI, vol. 10(12), pages 1-18, December.

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