1. bookVolume 10 (2018): Issue 2 (June 2018)
Journal Details
First Published
30 Mar 2016
Publication timeframe
4 times per year
© 2020 Sciendo

Urban smart mobility in the scientific literature — bibliometric analysis

Published Online: 17 Jul 2018
Page range: 41 - 56
Received: 05 Sep 2017
Accepted: 01 Apr 2018
Journal Details
First Published
30 Mar 2016
Publication timeframe
4 times per year
© 2020 Sciendo

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.


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.Search in Google Scholar

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 Topics, 214(1), 481-518.Search in Google Scholar

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.Search in Google Scholar

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

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 Systems, 12(3), 920-939. doi: 10.1109/TITS.2011.211937210.1109/TITS.2011.2119372Open DOISearch in Google Scholar

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/Search in Google Scholar

Chandra, Y. R. V. S., Shivia Harun, M., & Reshma, T. (2017). Intelligent transport system. International Journal of Civil Engineering and Technology, 8(4), 2230-2237.Search in Google Scholar

Czech, A., Biezdudnaja, A., Lewczuk, J., & Razumowskij, W. (2018). Quantitative assessment of urban transport development – a spatial approach. Engineering Management in Production and Services, 10(1), 32-44. doi: 10.1515/emj-2018-000310.1515/emj-2018-0003Open DOISearch in Google Scholar

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).Search in Google Scholar

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.pdfSearch in Google Scholar

Dobre, C., & Xhafa, F. (2014). Intelligent services for Big Data science. Future Generation Computer Systems, 37, 267-281. doi: 10.1016/j.future.2013.07.01410.1016/j.future.2013.07.014Open DOISearch in Google Scholar

van Eck, N. J., & Waltman, L. (2017). VOSviewer manual. Retrieved from vosviewer.com/download/f-y2z2.pdfSearch in Google Scholar

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.Search in Google Scholar

Elmaghraby, A. S., & Losavio, M. M. (2014). Cyber security challenges in Smart Cities: Safety, security and privacy. Journal of Advanced Research, 5(4), 491-497. doi: 10.1016/j.jare.2014.02.00610.1016/j.jare.2014.02.006Open DOISearch in Google Scholar

Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167-181. doi: 10.1016/j.tra.2015.04.00310.1016/j.tra.2015.04.003Open DOISearch in Google Scholar

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.pdfSearch in Google Scholar

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.pdfSearch in Google Scholar

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.Search in Google Scholar

Glińska, E., & Siemieniako, D. (2018). Binge drinking in relation to services – bibliometric analysis of scientific research directions. Engineering Management in Production and Services, 10(1), 45-54. doi: 10.1515/emj-2018-000410.1515/emj-2018-0004Open DOISearch in Google Scholar

Goodall, W., Dovey, T., Bornstein, J., & Bonthron, B. (2017). The rise of mobility as a service. Deloitte Rev, 20, 112-129.Search in Google Scholar

Grant-Muller, S., & Usher, M. (2014). Intelligent Transport Systems: The propensity for environmental and economic benefits. Technological Forecasting and Social Change, 82, 149-166.Search in Google Scholar

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.Search in Google Scholar

Hidas, P. (2002). Modelling lane changing and merging in microscopic traffic simulation. Transportation Research Part C – Emerging Technologies, 10(5-6), 351-371. doi: 10.1016/S0968-090X(02)00026-810.1016/S0968-090X(02)00026-8Open DOISearch in Google Scholar

Jalali, R., Koohi-Fayegh, S., El-Khatib, K., Hoornweg, D., & Li, H. (2017). Investigating the potential of ridesharing to reduce vehicle emissions. Urban Planning, 2(2), 26-40.Search in Google Scholar

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

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 Planning, 2(2), 13-25. doi: 10.17645/up.v2i2.931Search in Google Scholar

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:10.3233/978-1-61499-670-5-2310.3233/978-1-61499-670-5-23Open DOISearch in Google Scholar

Jun, M. Y., Kwon, J. H., & Jeong, J. E. (2013). The effects of high-density suburban development on commuter mode choices in Seoul. Cities, 31, 230-238. doi: 10.1016/j.cities.2012.06.01610.1016/j.cities.2012.06.016Open DOISearch in Google Scholar

Kolosz, B., & Grant-Muller, S. (2015). Extending cost-benefit analysis for the sustainability impact of interurban Intelligent Transport Systems. Environmental Impact Assessment Review, 50, 167-177. doi: 10.1016/j.eiar.2014.10.00610.1016/j.eiar.2014.10.006Open DOISearch in Google Scholar

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 Communications, 13(5), 52-57.Search in Google Scholar

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/Search in Google Scholar

Li, F., & Wang, Y. (2007). Routing in vehicular ad hoc networks: A survey. IEEE Vehicular Technology Magazine, 2(2), 12-22. doi: 10.1109/MVT.2007.91292710.1109/MVT.2007.912927Open DOISearch in Google Scholar

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 Management, 20, 39-52.Search in Google Scholar

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-hangzhouSearch in Google Scholar

Min, W., & Wynter, L. (2011). Real-time road traffic prediction with spatio-temporal correlations. Transportation Research Part C – Emerging Technologies, 19(4), 606-616. doi: 10.1016/j.trc.2010.10.00210.1016/j.trc.2010.10.002Open DOISearch in Google Scholar

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.htmlSearch in Google Scholar

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

Mokhtar, B., & Azab, M. (2015). Survey on Security Issues in Vehicular Ad Hoc Networks. Alexandria Engineering Journal, 54(4), 1115-1126. doi: 10.1016/j.aej.2015.07.01110.1016/j.aej.2015.07.011Open DOISearch in Google Scholar

Neirotti, P., De Marco, A., Cagliano, A. C., Mangano, G., & Scorrano, F. (2014). Current trends in smart city initiatives: Some stylised facts. Cities, 38, 25-36.Search in Google Scholar

Nellore, K., & Hancke, G. P. (2016). A Survey on Urban Traffic Management System Using Wireless Sensor Networks. Sensors, 16(2), 157. doi: 10.3390/s1602015710.3390/s16020157Open DOISearch in Google Scholar

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.Search in Google Scholar

Pelletier, M. P., Trépanier, M., & Morency, C. (2011). Smart card data use in public transit: A literature review. Transportation Research Part C: Emerging Technologies, 19(4), 557-568.Search in Google Scholar

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/B978-0-12-802045-6.00019-310.1016/B978-0-12-802045-6.00019-3Open DOISearch in Google Scholar

Pinna, F., Masala, F., & Garau, C. (2017). Urban Policies and Mobility Trends in Italian Smart Cities. Sustainability, 9(4), 1-21. doi: 10.3390/su904049410.3390/su9040494Open DOISearch in Google Scholar

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 Technologies, 15(5), 312-328.Search in Google Scholar

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 Annals, 45, 117-130. Retrieved from http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z45_09.pdfSearch in Google Scholar

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

Siderska, J., & Jadaan, K.S. (2018). Cloud manufacturing : a service-oriented manufacturing paradigm. A review paper. Engineering Management in Production and Service, 10(1), 46-55, doi: 10.1515/emj-2018-000210.1515/emj-2018-0002Open DOISearch in Google Scholar

Turkensteen, M. (2017). The accuracy of carbon emission and fuel consumption computations in green vehicle routing. European Journal of Operational Research, 262(2), 647-659.Search in Google Scholar

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.pdfSearch in Google Scholar

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.pdfSearch in Google Scholar

Weziak-Białowolska, D. (2016). Quality of life in cities – Empirical evidence in comparative European perspective. Cities, 58, 87-96. doi: 10.1016/j.cities.2016.05.01610.1016/j.cities.2016.05.016Open DOISearch in Google Scholar

Yue, W. S., Chye, K. K., & Hoy, C. W. (2017). Towards smart mobility in urban spaces: Bus tracking and information application. AIP Conference Proceedings, 1891(1), 201-245. doi: 10.1063/1.500547810.1063/1.5005478Open DOISearch in Google Scholar

Plan your remote conference with Sciendo