IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v153y2020ics0040162518301021.html
   My bibliography  Save this article

An evaluation system based on the self-organizing system framework of smart cities: A case study of smart transportation systems in China

Author

Listed:
  • Yan, Jianghui
  • Liu, Jinping
  • Tseng, Fang-Mei

Abstract

Smart cities have been developing aggressively around the globe, especially in China. As of 2017, more than 1000 cities in the world have commenced smart city developments, half of which are in China. However, there is not a uniform and clear understanding of smart city systems; this may affect their evaluation/planning and lead to misguided construction. Smart cities are characterized by complex self-organizing systems, and thus their sustainable and healthy development may require following the evolutionary patterns of such systems. Hence, self-organizing system theory may be useful in explaining such cities. Therefore, this paper first performs secondary qualitative data analyses of previous attempts at characterizing smart city development to identify the most robust aspects tested in previous work. Then, incorporating the results, self-organization theory is used to develop an overall, comprehensive system framework of smart cities. In this framework, all types of smart devices are the basic units of development (defined as “smart cells”). Meanwhile, Information and Communications Technology (ICT) and developmental mechanisms offer technical support and regulatory mechanisms in the spontaneous operation of smart cities. These three dimensions (smart cells, ICT, and developmental mechanisms) are combined into a scalable and distributed smart city evaluation system. Finally, smart transportation systems and the current state of these in China are used as a case study for discussion.

Suggested Citation

  • Yan, Jianghui & Liu, Jinping & Tseng, Fang-Mei, 2020. "An evaluation system based on the self-organizing system framework of smart cities: A case study of smart transportation systems in China," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    • Handle: RePEc:eee:tefoso:v:153:y:2020:i:c:s0040162518301021
    DOI: 10.1016/j.techfore.2018.07.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162518301021
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2018.07.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jesse M. Shapiro, 2006. "Smart Cities: Quality of Life, Productivity, and the Growth Effects of Human Capital," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 324-335, May.
    2. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
    3. Lee, Jung Hoon & Phaal, Robert & Lee, Sang-Ho, 2013. "An integrated service-device-technology roadmap for smart city development," Technological Forecasting and Social Change, Elsevier, vol. 80(2), pages 286-306.
    4. Dong Lu & Ye Tian & Vincent Y. Liu & Yi Zhang, 2015. "The Performance of the Smart Cities in China—A Comparative Study by Means of Self-Organizing Maps and Social Networks Analysis," Sustainability, MDPI, vol. 7(6), pages 1-18, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mora, Luca & Gerli, Paolo & Ardito, Lorenzo & Messeni Petruzzelli, Antonio, 2023. "Smart city governance from an innovation management perspective: Theoretical framing, review of current practices, and future research agenda," Technovation, Elsevier, vol. 123(C).
    2. He, Ni & Yongqiao, Wang & Tao, Jiang & Zhaoyu, Chen, 2022. "Self-Adaptive bagging approach to credit rating," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Zhao, Congyu & Wang, Kun & Dong, Xiucheng & Dong, Kangyin, 2022. "Is smart transportation associated with reduced carbon emissions? The case of China," Energy Economics, Elsevier, vol. 105(C).
    4. Qinghong Cui & Run Chen & Ruirui Wei & Xiancun Hu & Guangbin Wang, 2023. "Smart Mega-City Development in Practice: A Case of Shanghai, China," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
    5. Romeo-Victor Ionescu & Monica Laura Zlati & Valentin-Marian Antohi, 2023. "Smart cities from low cost to expensive solutions under an optimal analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    6. Inna Čábelková & Wadim Strielkowski & Frank-Detlef Wende & Raisa Krayneva, 2020. "Factors Influencing the Threats for Urban Energy Networks: The Inhabitants’ Point of View," Energies, MDPI, vol. 13(21), pages 1-19, October.
    7. Ali Gohar & Gianfranco Nencioni, 2021. "The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System," Sustainability, MDPI, vol. 13(9), pages 1-24, May.
    8. Ke Wang & Yafei Zhao & Rajan Kumar Gangadhari & Zhixing Li, 2021. "Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China," Sustainability, MDPI, vol. 13(19), pages 1-35, October.
    9. Leonardo Guevara & Fernando Auat Cheein, 2020. "The Role of 5G Technologies: Challenges in Smart Cities and Intelligent Transportation Systems," Sustainability, MDPI, vol. 12(16), pages 1-15, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Margarida Rodrigues & Mário Franco, 2018. "Measuring the Performance in Creative Cities: Proposal of a Multidimensional Model," Sustainability, MDPI, vol. 10(11), pages 1-21, November.
    2. Anna D’Auria & Marco Tregua & Manuel Carlos Vallejo-Martos, 2018. "Modern Conceptions of Cities as Smart and Sustainable and Their Commonalities," Sustainability, MDPI, vol. 10(8), pages 1-18, July.
    3. Schiavone, Francesco & Paolone, Francesco & Mancini, Daniela, 2019. "Business model innovation for urban smartization," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 210-219.
    4. Jelena Stankoviæ & Marija Džuniæ & Željko Džuniæ & Srðan Marinkoviæ, 2017. "A multi-criteria evaluation of the European cities’ smart performance: Economic, social and environmental aspects," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 35(2), pages 519-550.
    5. Camboim, Guilherme Freitas & Zawislak, Paulo Antônio & Pufal, Nathália Amarante, 2019. "Driving elements to make cities smarter: Evidences from European projects," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 154-167.
    6. Dubravka Jurlina Alibegovic & Zeljka Kordej-De Villa & Mislav Sagovac, 2018. "Smart City Indicators: Can They Improve Governance in Croatian Large Cities?," Working Papers 1805, The Institute of Economics, Zagreb.
    7. Becker, Jörg & Distel, Bettina & Grundmann, Matthias & Hupperich, Thomas & Kersting, Norbert & Löschel, Andreas & Parreira do Amaral, Marcelo & Scholta, Hendrik, 2021. "Challenges and potentials of digitalisation for small and mid-sized towns: Proposition of a transdisciplinary research agenda," ERCIS Working Papers 36, University of Münster, European Research Center for Information Systems (ERCIS).
    8. Muhammad Atiq Ur Rehman Tariq & Alavaiola Faumatu & Maha Hussein & Muhammad Laiq Ur Rahman Shahid & Nitin Muttil, 2020. "Smart City-Ranking of Major Australian Cities to Achieve a Smarter Future," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    9. Johannes Stübinger & Lucas Schneider, 2020. "Understanding Smart City—A Data-Driven Literature Review," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    10. Pasquale Del Vecchio & Gioconda Mele & Valentina Ndou & Giustina Secundo, 2018. "Open Innovation and Social Big Data for Sustainability: Evidence from the Tourism Industry," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    11. Łukasz Brzeziński & Magdalena Krystyna Wyrwicka, 2022. "Fundamental Directions of the Development of the Smart Cities Concept and Solutions in Poland," Energies, MDPI, vol. 15(21), pages 1-52, November.
    12. Renata Biadacz & Marek Biadacz, 2021. "Implementation of “Smart” Solutions and An Attempt to Measure Them: A Case Study of Czestochowa, Poland," Energies, MDPI, vol. 14(18), pages 1-28, September.
    13. Richard Hu, 2019. "The State of Smart Cities in China: The Case of Shenzhen," Energies, MDPI, vol. 12(22), pages 1-18, November.
    14. Angelo Di Gregorio & Laura Gavinelli & Francesca Montagnini, 2014. "Smart life: dalla tecnologia al mercato. La prospettiva dei consumatori e delle imprese," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2014(2), pages 13-40.
    15. Marcos Nahuel Martínez Stanziani, 2020. "Índices de Ciudades Inteligentes: construcción y análisis de un indicador para la ciudad de Bahía Blanca," Asociación Argentina de Economía Política: Working Papers 4374, Asociación Argentina de Economía Política.
    16. Nilssen, Maja, 2019. "To the smart city and beyond? Developing a typology of smart urban innovation," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 98-104.
    17. Manuela PANAITESCU, 2020. "Galati – smart city? Desideratum or reality," Smart Cities International Conference (SCIC) Proceedings, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 8, pages 91-101, November.
    18. Kummitha, Rama Krishna Reddy, 2018. "Entrepreneurial urbanism and technological panacea: Why Smart City planning needs to go beyond corporate visioning?," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 330-339.
    19. Dameri, Renata Paola & Benevolo, Clara & Veglianti, Eleonora & Li, Yaya, 2019. "Understanding smart cities as a glocal strategy: A comparison between Italy and China," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 26-41.
    20. Kyunam Kim & Jung-Kyu Jung & Jae Young Choi, 2016. "Impact of the Smart City Industry on the Korean National Economy: Input-Output Analysis," Sustainability, MDPI, vol. 8(7), pages 1-19, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:153:y:2020:i:c:s0040162518301021. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.