Urban smart mobility in the scientific literature — bibliometric analysis

Open access


This article aims at identification of the main trends in scientific literature characterising urban smart mobility, on the basis of bibliometric analysis of articles published in the ISI Web of Science and Scopus databases. The study period was set from 2000 to 2017. Authors used a basic technique of the bibliometric analysis of the scientific literature characterising urban smart mobility with the support of the VOSviewer software. The analysis included the number of publications, citation analysis, research area analysis and the most frequent keywords. The analysis led to taking notice of current research trends dealing with the urban smart mobility. The core of the paper is a theoretical framework of research trends, which was developed through a review of scientific literature. The result of this paper is a map showing the existing relationships between key terms, research areas characterising publications dealing with the urban smart mobility and intelligent transport system (ITS). “Smart city” is probably the most “in vogue”, debated and analysed concept among researchers and administrative/ governmental representatives from all over the world. This multidimensional concept is mainly based on smart technology structured around few major components: smart mobility, smart environment, smart governance, smart living, and everything that targets the people’s wellbeing. This work focuses on a hot topic – mobility because of its significant impact on the environment by pollution as well as living by requiring intelligent transport systems.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • Battarra R. Zucaro F. & Tremiterra M. R. (2017). Smart mobility: An evaluation method to audit Italian cities. 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems 421-426.

  • Batty M. Axhausen K. W. Giannotti F. Pozdnoukhov A. Bazzani A. Wachowicz M. Ouzounis G. & Portugali Y. (2012). Smart cities of the future. European Physical Journal: Special Topics214(1) 481-518.

  • Benevolo C. Dameri R. P. & D’Auria B. (2016) Smart Mobility in Smart City. In T. Torre A. Braccini R. Spinelli (Eds.) Empowering Organizations. Lecture Notes in Information Systems and Organisation (pp. 13-28). Cham Switzerland: Springer.

  • Bitam S. & Mellouk A. (2012). ITS-cloud: Cloud computing for intelligent transportation system. IEEE Global Communications Conference 2054-2059.

  • Buch N. Velastin S. A. & Orwell J. (2011). A review of computer vision techniques for the analysis of urban traffic. IEEE Transactions on Intelligent Transportation Systems12(3) 920-939. doi: 10.1109/TITS.2011.2119372

  • Caughill P. (2017). Volvo Says That They Will Stop Making Diesel Engines Thanks to Tesla. Futurism. Retrieved from https://futurism.com/volvo-says-that-they-will-stop-making-diesel-engines-thanks-to-tesla/

  • Chandra Y. R. V. S. Shivia Harun M. & Reshma T. (2017). Intelligent transport system. International Journal of Civil Engineering and Technology8(4) 2230-2237.

  • Czech A. Biezdudnaja A. Lewczuk J. & Razumowskij W. (2018). Quantitative assessment of urban transport development – a spatial approach. Engineering Management in Production and Services10(1) 32-44. doi: 10.1515/emj-2018-0003

  • Directive 2010/40/EU of the European Parliament and of the Council on the framework for the deployment of Intelligent Transport Systems in the field of road transport and for interfaces with other modes of transport (EU).

  • Dirk S. & Keeling M. (2009). A Vision of Smarter Cities. How Cities Can Lead the Way into a Prosperous and Sustainable Future. Somers USA: IBM Corporation. Retrieved from https://www-03.ibm.com/press/attachments/IBV_Smarter_Cities_-_Final.pdf

  • Dobre C. & Xhafa F. (2014). Intelligent services for Big Data science. Future Generation Computer Systems37 267-281. doi: 10.1016/j.future.2013.07.014

  • van Eck N. J. & Waltman L. (2017). VOSviewer manual. Retrieved from vosviewer.com/download/f-y2z2.pdf

  • Ejdys J. Nazarko J. Nazarko Ł. & Halicka K. (2015). Foresight application for transport sector. In M. Fiorini J-C. Lin (Eds.) Clean Mobility and Intelligent Systems (pp. 377-400). London England: The Institution of Engineering and Technology.

  • Elmaghraby A. S. & Losavio M. M. (2014). Cyber security challenges in Smart Cities: Safety security and privacy. Journal of Advanced Research5(4) 491-497. doi: 10.1016/j.jare.2014.02.006

  • Fagnant D. J. & Kockelman K. (2015). Preparing a nation for autonomous vehicles: opportunities barriers and policy recommendations. Transportation Research Part A: Policy and Practice77 167-181. doi: 10.1016/j.tra.2015.04.003

  • Florea A. & Berntzen L. (2017). Green IT solutions for smart city’s sustainability [5th Smart Cities Conference slides]. Retrieved from http://administratiepublica.eu/smartcitiesconference/2017/files/SSC05-PP/DAY%202/Green%20IT%20solutions%20for%20smart%20city%20sustainability.pdf

  • Gaggi S. Fluhrer T. & Janitzek T. (2013). Innovation in urban mobility: Policy making and planning. Directorate-General for Mobility and Transport. Luxembourg: European Union. Retrieved from https://www.kowi.de/Portaldata/2/Resources/fp/tripurban-mobility.pdf

  • Giffinger R. Fertner C. Kramar H. Kalasek R. Pichler-Milanović N. & Meijers E. (2007). Smart Cities: Ranking of European Medium-sized Cities. Vienna Austria: Centre of Regional Science.

  • Glińska E. & Siemieniako D. (2018). Binge drinking in relation to services – bibliometric analysis of scientific research directions. Engineering Management in Production and Services10(1) 45-54. doi: 10.1515/emj-2018-0004

  • Goodall W. Dovey T. Bornstein J. & Bonthron B. (2017). The rise of mobility as a service. Deloitte Rev20 112-129.

  • Grant-Muller S. & Usher M. (2014). Intelligent Transport Systems: The propensity for environmental and economic benefits. Technological Forecasting and Social Change82 149-166.

  • Halicka K. (2016). Prospektywna analiza technologii – metodologia i procedury badawcze [Prospective analysis of technology – methodology and test procedures]. Białystok Poland: Bialystok University of Technology Publishing House.

  • Hidas P. (2002). Modelling lane changing and merging in microscopic traffic simulation. Transportation Research Part C – Emerging Technologies10(5-6) 351-371. doi: 10.1016/S0968-090X(02)00026-8

  • Jalali R. Koohi-Fayegh S. El-Khatib K. Hoornweg D. & Li H. (2017). Investigating the potential of ridesharing to reduce vehicle emissions. Urban Planning2(2) 26-40.

  • Jimenez J. A. (2018). Smart Transportation Systems. In S. McClellan J. Jimenez G. Koutitas (Eds.) Smart Cities (pp. 123-133). Cham Switzerland: Springer.

  • Jittrapirom P. Caiati V. Feneri A.-M. Ebrahimigharehbaghi S. Alonso-González M. J. & Narayan J. (2017). Mobility as a service: A critical review of definitions assessments of schemes and key challenges. Urban Planning2(2) 13-25. doi: 10.17645/up.v2i2.931

  • Johannessen M. R. & Berntzen L. (2016). Smart cities through implicit participation: Using gamification to generate citizen input for public transport planning. In H. J. Scholl et al. (Eds.) Electronic Government and Electronic Participation (pp. 23-30). Amsterdam The Netherlands: IOS Press Ebooks. doi:10.3233/978-1-61499-670-5-23

  • Jun M. Y. Kwon J. H. & Jeong J. E. (2013). The effects of high-density suburban development on commuter mode choices in Seoul. Cities31 230-238. doi: 10.1016/j.cities.2012.06.016

  • Kolosz B. & Grant-Muller S. (2015). Extending cost-benefit analysis for the sustainability impact of interurban Intelligent Transport Systems. Environmental Impact Assessment Review50 167-177. doi: 10.1016/j.eiar.2014.10.006

  • Lee U. Zhou B. Gerla M. Magistretti E. Bellavista P. & Corradi A. (2006). Mobeyes: smart mobs for urban monitoring with a vehicular sensor network. IEEE Wireless Communications13(5) 52-57.

  • Lewald A. (2017). Unlocking Mobility’s Potential. How to Make Mobility Smarter and Cleaner. World News – Climate Change The New Economy. Retrieved from http://climatechange-theneweconomy.com/sustainable-transport-kapsch/

  • Li F. & Wang Y. (2007). Routing in vehicular ad hoc networks: A survey. IEEE Vehicular Technology Magazine2(2) 12-22. doi: 10.1109/MVT.2007.912927

  • Mangiaracina R. Perego A. Salvadori G. & Tumino A. (2017). A comprehensive view of intelligent transport systems for urban smart mobility. International Journal of Logistics Research and Applications A Leading Journal of Supply Chain Management20 39-52.

  • van Mead N. (2017). Uber for bikes: how “dockless” cycles flooded China – and are heading overseas. The Guardian. Retrieved from https://www.theguardian.com/cities/2017/mar/22/bike-wars-docklesschina-millions-bicycles-hangzhou

  • Min W. & Wynter L. (2011). Real-time road traffic prediction with spatio-temporal correlations. Transportation Research Part C – Emerging Technologies19(4) 606-616. doi: 10.1016/j.trc.2010.10.002

  • Ministerstwo Transportu Budownictwa i Gospodarki Morskiej [Ministry of Transport Construction and Maritime Economy]. (2013). Strategia Rozwoju Transportu do 2020 roku (z perspektywą do 2030 roku) [Strategy for Transport Development in force until 2020 (with outlook to 2030)]. Retrieved from http://mib.bip.gov.pl/fobjects/download/90070/strategia_rozwoju_transportu_do_2020-pdf.html

  • Mobileye. (2018). Advanced Technologies. The Future of Mobility. Retrieved from https://www.mobileye.com/future-of-mobility/mobileye-advanced-technologies/

  • Mokhtar B. & Azab M. (2015). Survey on Security Issues in Vehicular Ad Hoc Networks. Alexandria Engineering Journal54(4) 1115-1126. doi: 10.1016/j.aej.2015.07.011

  • Neirotti P. De Marco A. Cagliano A. C. Mangano G. & Scorrano F. (2014). Current trends in smart city initiatives: Some stylised facts. Cities38 25-36.

  • Nellore K. & Hancke G. P. (2016). A Survey on Urban Traffic Management System Using Wireless Sensor Networks. Sensors16(2) 157. doi: 10.3390/s16020157

  • Papa R. Gargiulo C. & Russo L. (2017). The evolution of smart mobility strategies and behaviors to build the smart city. 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems 409-414.

  • Pelletier M. P. Trépanier M. & Morency C. (2011). Smart card data use in public transit: A literature review. Transportation Research Part C: Emerging Technologies19(4) 557-568.

  • Petrosino A. & Salvi G. (2015). Chapter 19 – A rough fuzzy neural network approach for robust face detection and tracking. In L. Deligiannidis H. Arabnia (Eds.) Emerging Trends in Image Processing. Computer Vision and Pattern Recognition (pp. 295-314). Boston USA: Morgan Kaufmann. doi: 10.1016/B978-0-12-802045-6.00019-3

  • Pinna F. Masala F. & Garau C. (2017). Urban Policies and Mobility Trends in Italian Smart Cities. Sustainability9(4) 1-21. doi: 10.3390/su9040494

  • Quddus M. A. Ochieng W. Y. & Noland R. B. (2007). Current map-matching algorithms for transport applications: State-of-the art and future research directions. Transportation Research Part C: Emerging Technologies15(5) 312-328.

  • Romanowski R. & Lewicki M. (2017). Znaczenie koncepcji smart city w marketingu terytorialnym [The importance of the smart city concept in place marketing]. Collegium of Economic Analysis Annals45 117-130. Retrieved from http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z45_09.pdf

  • Samsung Electronics. (2015). The Safety Truck Could Revolutionize Road Safety. Newsroom. Retrieved from https://news.samsung.com/global/the-safety-truck-could-revolutionize-road-safety

  • Siderska J. & Jadaan K.S. (2018). Cloud manufacturing : a service-oriented manufacturing paradigm. A review paper. Engineering Management in Production and Service10(1) 46-55 doi: 10.1515/emj-2018-0002

  • Turkensteen M. (2017). The accuracy of carbon emission and fuel consumption computations in green vehicle routing. European Journal of Operational Research262(2) 647-659.

  • U.S. Department of Transportation. (2017). Smart City Challenge: Lessons for Building Cities of the Future. Transportation.gov. Retrieved from https://cms.do.t.gov/sites/dot.gov/files/docs/Smart%20City%20Challenge%20Lessons%20Learned.pdf

  • Welle B. Sharpin A. B. Adriazola C. Bhatt A. Alveano S. Obelheiro M. Tolga C. Imamoglu Job S. Shotten M. & Bose D. (2018). Sustainable and Safe: A Vision and Guidance for Zero Road Deaths. Washington USA: World Resources Institute. Retrieved from http://www.wri.org/sites/default/files/17_Report_Safe_Systems_final.pdf

  • Weziak-Białowolska D. (2016). Quality of life in cities – Empirical evidence in comparative European perspective. Cities58 87-96. doi: 10.1016/j.cities.2016.05.016

  • Yue W. S. Chye K. K. & Hoy C. W. (2017). Towards smart mobility in urban spaces: Bus tracking and information application. AIP Conference Proceedings1891(1) 201-245. doi: 10.1063/1.5005478

Journal information
Impact Factor

CiteScore 2018: 0.72

Source Normalized Impact per Paper (SNIP) 2018: 0.505

Cited By
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 873 455 17
PDF Downloads 1309 794 79