IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i21p8759-d432771.html
   My bibliography  Save this article

Visualizing the Intellectual Structure and Evolution of Intelligent Transportation Systems: A Systematic Analysis of Research Themes and Trends

Author

Listed:
  • Nadia Karina Gamboa-Rosales

    (Academic Unit of Electrical Engineering, CONACYT-Autonomous University of Zacatecas, Zacatecas 98000, Mexico)

  • José María Celaya-Padilla

    (Academic Unit of Electrical Engineering, Autonomous University of Zacatecas, Zacatecas 98000, Mexico)

  • Ana Luisa Hernandez-Gutierrez

    (Academic Unit of Electrical Engineering, Autonomous University of Zacatecas, Zacatecas 98000, Mexico)

  • Arturo Moreno-Baez

    (Academic Unit of Electrical Engineering, Autonomous University of Zacatecas, Zacatecas 98000, Mexico)

  • Carlos E. Galván-Tejada

    (Academic Unit of Electrical Engineering, Autonomous University of Zacatecas, Zacatecas 98000, Mexico)

  • Jorge I. Galván-Tejada

    (Academic Unit of Electrical Engineering, Autonomous University of Zacatecas, Zacatecas 98000, Mexico)

  • Edgar González-Fernández

    (INFOTEC-Center for Research and Innovation in Information and Communication, Ciudad de México 14050, Mexico)

  • Hamurabi Gamboa-Rosales

    (INFOTEC-Center for Research and Innovation in Information and Communication, Ciudad de México 14050, Mexico)

  • José Ricardo López-Robles

    (Postgraduate Program of Engineering and Applied Technology (National Laboratory CONACYT-SEDEAM), Autonomous University of Zacatecas, Zacatecas 98000, Mexico)

Abstract

According to the United Nations , 70% of the world’s population will live in cities by 2050. This growth will be reflected in the demand for better services that should be adjusted to the collective and individual needs of the population. Governments and organizations are working on defining and implementing strategies that will enable them to respond to these challenges. The main challenges are related to transport and its management, considering transportation as a core issue in the economy, sustainability, and development of the regions. In this way, the Intelligent Transportation Systems (ITS) play a key role in the response to these scenarios, being that they are the framework where the new hardware and software tools are integrated, allowing an efficient development of transportation systems management, attending to aspects such as: traffic management, communications between vehicles and infrastructures, and security, among others. Nevertheless, the concept of ITS evolves rapidly so it is necessary to understand its evolution. To do that, the current research develops a thematic analysis of ITS in literature, evaluating the intellectual structure and its evolution using SciMAT , quantifying the main bibliometric performance indicators, and identifying the main research areas, authors, journals, and countries. To this purpose, the publications related to ITS from 1993 to 2019 available in the Web of Science (WoS) Core Collection were retrieved (7649 publications) and analyzed. Finally, one of the main results is the latest research themes map of ITS, considering its intellectual structure, evolution, and relationship. It assists in the definition and implementation of strategies, the identification of the scientific, academic, and business opportunities, and future research lines to consolidate the role of ITS in the new city models.

Suggested Citation

  • Nadia Karina Gamboa-Rosales & José María Celaya-Padilla & Ana Luisa Hernandez-Gutierrez & Arturo Moreno-Baez & Carlos E. Galván-Tejada & Jorge I. Galván-Tejada & Edgar González-Fernández & Hamurabi Ga, 2020. "Visualizing the Intellectual Structure and Evolution of Intelligent Transportation Systems: A Systematic Analysis of Research Themes and Trends," Sustainability, MDPI, vol. 12(21), pages 1-30, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:8759-:d:432771
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/21/8759/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/21/8759/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Modak, Nikunja M. & Merigó, José M. & Weber, Richard & Manzor, Felipe & Ortúzar, Juan de Dios, 2019. "Fifty years of Transportation Research journals: A bibliometric overview," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 188-223.
    2. Grant-Muller, Susan & Usher, Mark, 2014. "Intelligent Transport Systems: The propensity for environmental and economic benefits," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 149-166.
    3. Christian Sternitzke & Isumo Bergmann, 2009. "Similarity measures for document mapping: A comparative study on the level of an individual scientist," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 113-130, January.
    4. Anandkumar Balasubramaniam & Anand Paul & Won-Hwa Hong & HyunCheol Seo & Jeong Hong Kim, 2017. "Comparative Analysis of Intelligent Transportation Systems for Sustainable Environment in Smart Cities," Sustainability, MDPI, vol. 9(7), pages 1-12, June.
    5. Sun, Lijun & Rahwan, Iyad, 2017. "Coauthorship network in transportation research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 135-151.
    6. Jian Wang, 2013. "Citation time window choice for research impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 851-872, March.
    7. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2012. "SciMAT: A new science mapping analysis software tool," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(8), pages 1609-1630, August.
    8. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
    9. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    10. M. A. Martínez & M. Herrera & J. López-Gijón & E. Herrera-Viedma, 2014. "H-Classics: characterizing the concept of citation classics through H-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1971-1983, March.
    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. Suhaib Alshayeb & Aleksandar Stevanovic & Nemanja Dobrota, 2021. "Impact of Various Operating Conditions on Simulated Emissions-Based Stop Penalty at Signalized Intersections," Sustainability, MDPI, vol. 13(18), pages 1-30, September.
    2. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    3. Douglas Mitieka & Rose Luke & Hossana Twinomurinzi & Joash Mageto, 2023. "Smart Mobility in Urban Areas: A Bibliometric Review and Research Agenda," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    4. Paulo Antonio Maldonado Silveira Alonso Munhoz & Fabricio da Costa Dias & Christine Kowal Chinelli & André Luis Azevedo Guedes & João Alberto Neves dos Santos & Wainer da Silveira e Silva & Carlos Alb, 2020. "Smart Mobility: The Main Drivers for Increasing the Intelligence of Urban Mobility," Sustainability, MDPI, vol. 12(24), pages 1-25, December.

    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. Juan Vidal & Ramón A. Carrasco & Manuel J. Cobo & María F. Blasco, 2024. "Data Sources as a Driver for Market-Oriented Tourism Organizations: a Bibliometric Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7588-7621, June.
    2. E. M. Murgado-Armenteros & M. Gutiérrez-Salcedo & F. J. Torres-Ruiz & M. J. Cobo, 2015. "Analysing the conceptual evolution of qualitative marketing research through science mapping analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 519-557, January.
    3. Veronica Perez-Cabezas & Carmen Ruiz-Molinero & Ines Carmona-Barrientos & Enrique Herrera-Viedma & Manuel J. Cobo & Jose A. Moral-Munoz, 2018. "Highly cited papers in rheumatology: identification and conceptual analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 555-568, July.
    4. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    5. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    6. A. Velez-Estevez & P. García-Sánchez & J. A. Moral-Munoz & M. J. Cobo, 2022. "Why do papers from international collaborations get more citations? A bibliometric analysis of Library and Information Science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7517-7555, December.
    7. Jiang, Chenming & Bhat, Chandra R. & Lam, William H.K., 2020. "A bibliometric overview of Transportation Research Part B: Methodological in the past forty years (1979–2019)," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 268-291.
    8. Eva-María Mora-Valentín & Marta Ortiz-de-Urbina-Criado & Juan-José Nájera-Sánchez, 2018. "Mapping the conceptual structure of science and technology parks," The Journal of Technology Transfer, Springer, vol. 43(5), pages 1410-1435, October.
    9. Hugo Baier-Fuentes & José M. Merigó & José Ernesto Amorós & Magaly Gaviria-Marín, 2019. "International entrepreneurship: a bibliometric overview," International Entrepreneurship and Management Journal, Springer, vol. 15(2), pages 385-429, June.
    10. Babak Amiri & Ramin Karimianghadim & Navid Yazdanjue & Liaquat Hossain, 2021. "Research topics and trends of the hashtag recommendation domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2689-2735, April.
    11. Kipper, Liane Mahlmann & Iepsen, Sandra & Dal Forno, Ana Julia & Frozza, Rejane & Furstenau, Leonardo & Agnes, Jéssica & Cossul, Danielli, 2021. "Scientific mapping to identify competencies required by industry 4.0," Technology in Society, Elsevier, vol. 64(C).
    12. Turgut Karakose & Tijen Tülübaş & Stamatios Papadakis, 2022. "Revealing the Intellectual Structure and Evolution of Digital Addiction Research: An Integrated Bibliometric and Science Mapping Approach," IJERPH, MDPI, vol. 19(22), pages 1-27, November.
    13. Maikel Luis Kolling & Leonardo B. Furstenau & Michele Kremer Sott & Bruna Rabaioli & Pedro Henrique Ulmi & Nicola Luigi Bragazzi & Leonel Pablo Carvalho Tedesco, 2021. "Data Mining in Healthcare: Applying Strategic Intelligence Techniques to Depict 25 Years of Research Development," IJERPH, MDPI, vol. 18(6), pages 1-20, March.
    14. Ramazan Yirci & Turgut Karakose & Ibrahim Kocabas & Tijen Tülübaş & Stamatios Papadakis, 2023. "A Bibliometric Review of the Knowledge Base on Mentoring for the Professional Development of School Administrators," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    15. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    16. Livio Cricelli & Michele Grimaldi & Silvia Vermicelli, 2022. "Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda," Review of Managerial Science, Springer, vol. 16(5), pages 1269-1310, July.
    17. Zoltán Lakner & Brigitta Plasek & Gyula Kasza & Anna Kiss & Sándor Soós & Ágoston Temesi, 2021. "Towards Understanding the Food Consumer Behavior–Food Safety–Sustainability Triangle: A Bibliometric Approach," Sustainability, MDPI, vol. 13(21), pages 1-23, November.
    18. Santana, Monica & Cobo, Manuel J., 2020. "What is the future of work? A science mapping analysis," European Management Journal, Elsevier, vol. 38(6), pages 846-862.
    19. Mikel Alayo & Txomin Iturralde & Amaia Maseda & Gloria Aparicio, 2021. "Mapping family firm internationalization research: bibliometric and literature review," Review of Managerial Science, Springer, vol. 15(6), pages 1517-1560, August.
    20. Wang, Xiaoguang & He, Jing & Huang, Han & Wang, Hongyu, 2022. "MatrixSim: A new method for detecting the evolution paths of research topics," Journal of Informetrics, Elsevier, vol. 16(4).

    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:gam:jsusta:v:12:y:2020:i:21:p:8759-:d:432771. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.