Analysis of the parameters limiting the mitigation of dislocation resulting from smart solutions
Abstract
The socio-economic-environmental impacts of today’s challenges (e.g. energy crisis, inflation, digitalisation explosion) require systemic responses using smart solutions. This calls for highly complex interventions, for which several studies and studies have already been carried out in the education, health and public administration sectors. These interact in a two-way manner with transport, since the application of digitalization and smart solutions makes it possible to implement various processes in an online system, which may also result in a reduction in the number of dislocations. The research carried out so far assumes an ideal environment, but it is also necessary to take into account aspects (e.g. demographic
characteristics, digital sophistication, reliability of IT systems) that can have a significant impact on the effectiveness of solutions. This research presents and analyses these factors and their impact.
References
Digital Decade DESI. URL: https://digital-decade-desi.digital-strategy.ec.europa.eu/ Hozzáférés: 2025. 02.15.
Bánhidi, Z., Tokmergenova, M., Dobos, I. A digitális gazdaság fejlettségének nemzetközi összehasonlítása, módszertani keretek. Információs Társadalom. 2022, 22 (9). https://doi.org/10.22503/inftars.XXII.2022.1.1.
Bánhidi, Z., Dobos, I. Országok digitális fejlettségének megállapítása lépcsőzetes DEA, lépcsőzetes Pareto-hatékonyság és klaszteranalízis felhasználásával, a 2020-as nemzetközi digitális gazdasági és társadalmi index adatai alapján. Statisztikai Szemle. 2023, 101. 978-998. https://doi.org/10.20311/stat2023.11.hu0978
Angel Luis Lucendo-Monedero, Francisca Ruiz-Rodríguez, Reyes González-Relaño, Measuring the digital divide at regional level. A spatial analysis of the inequalities in digital development of households and in-dividuals in Europe, Telematics and Informatics, Volume 41, 2019, 197-217, https://doi.org/10.1016/j.tele.2019.05.002
Becky P.Y. Loo, Ho Tsoi, A people-environment framework in evaluating transport stress among rail commuters, Transportation Research Part D: Transport and Environment, Volume 121, 2023, 103833, https://doi.org/10.1016/j.trd.2023.103833
Sovacool, B., K., Johannes Kester, Lance Noel, Gerardo Zarazua de Rubens, The demographics of decarbonizing transport: The influence of gender, education, occupation, age, and household size on electric mobility preferences in the Nordic region, Global Environmental Change, Volume 52, 2018, 86-100, https://doi.org/10.1016/j.gloenvcha.2018.06.008
Brávácz Ibolya, Krebsz Rebeka A magyar kis- és középvállalkozások digitális fejlettsége – Lehetünk-e digitális éllovasok? Külgazdaság, LXV. évf., 2021. szeptember–október, 60–85. https://doi.org/10.47630/KULG.2021.65.9-10.60
Buehler, R., Pucher, J. (2012). Demand for Public Transport in Germany and the USA: An Analysis of Rider Characteristics. Transport Reviews, 32(5), 541–567. https://doi.org/10.1080/01441647.2012.707695
Carter, D. Urban Regeneration, Digital Development Strategies and the Knowledge Economy: Manchester Case Study. J Knowl Econ 4, 169–189 (2013). https://doi.org/10.1007/s13132-012-0086-7
David Lois, Andrés Monzón, Sara Hernández, Analysis of satisfaction factors at urban transport interchanges: Measuring travellers’ attitudes to information, security and waiting, Transport Policy, Volume 67, 2018, 49-56, https://doi.org/10.1016/j.tranpol.2017.04.004
Dobos, Imre, Banhidi, Zoltan. (2024). A digitális és a gazdasági fejlettség össszefüggéseinek elemzése a részlegesen rendezett halmazok és a Tiered Data Envelopment Analysis (TDEA) módszerével. URL: https://www.researchgate.net/publication/385010880_A_digita-lis_es_a_gazdasagi_fejlettseg_osszefug-geseinek_elemzese_a_reszlegesen_rende-zett_halmazok_es_a_Tiered_Data_Envel-opment_Analysis_TDEA_modszerevel/references
Edward J Malecki, Digital development in rural areas: potentials and pitfalls, Journal of Rural Studies, Volume 19, Issue 2, 2003, 201-214, https://doi.org/10.1016/S0743-0167(02)00068-2
Karni Chauhan, Fabio Paparella, Luc Koenders, Theo Hofman, Mauro Salazar, Ride-pooling Electric Autonomous Mobility-on-Demand: Joint optimization of operations and fleet and infrastructure design, Control Engineering Practice, 154, 2025, 106169, https://doi.org/10.1016/j.conengprac.2024.106169
Khurrum Jalil, Yuanqing Xia, Qian Chen, Muhammad Noaman Zahid, Tayyab Manzoor, Jing Zhao, Integrative review of data sciences for driving smart mobility in in-telligent transportation systems, Computers and Electrical Engineering, Volume 119, Part B, 2024, 109624, https://doi.or-g/10.1016/j.compeleceng.2024.109624
Konrad Steiner, Stefan Irnich (2020) Strategic Planning for Integrated Mobility-on-Demand and Urban Public Bus Networks. Transportation Science 54(6):1616-1639. https://doi.org/10.1287/trsc.2020.0987
Susan Harris, Akshay Vij, Stacey Ryan, Spring Sampson, Consumer preferences for on-demand transport in Australia, Transportation Research Part A: Policy and Practice, Volume 132, 2020, 823-839, https://doi.org/10.1016/j.tra.2019.12.026
Wang, Z., Ahmed, Z., Zhang, B. et al. The nexus between urbanization, road infra-structure, and transport energy demand: empirical evidence from Pakistan. Environ Sci Pollut Res26, 34884–34895 (2019). https://doi.org/10.1007/s11356-019-06542-8
Weike Zhang, Hongxia Fan, Qiwei Zhao, Seeing green: How does digital infrastructure affect carbon emission intensity?, Energy Economics, Volume 127, Part B, 2023, https://doi.org/10.1016/j.ene-co.2023.107085
Deursen, Alexander J.A.M., Helsper, Ellen. The Third-Level Digital Divide: Who Benefits Most from Being Online?. 2015. https://doi.org/10.1108/S2050-206020150000010002
Norris, Pippa. Digital Divide: Civic Engagement, Information Poverty and the Internet World-Wide. 2001. https://doi.org/10.1108/146366903322008287
Helsper, Ellen Johanna. A Corresponding Fields Model for the Links Between Social and Digital Exclusion. Communication Theory. 2012, 22 (4). https://doi.org/10.1111/j.1468-2885.2012.01416.x
Hargittai, E. (2010). Digital na(t)ives? Variation in internet skills and uses among members of the „net generation.” Socio-logical Inquiry, 80(1), 92–113. https://doi.org/10.1111/j.1475-682X.2009.00317.x
Twenge JM, Hisler GC, Krizan Z. As-sociations between screen time and sleep duration are primarily driven by portable electronic devices: evidence from a population-based study of U.S. children ages 0-17. Sleep Medicine. 2019, (56), 211-218. https://doi.org/10.1016/j.sle-ep.2018.11.009
All articles published in the journal are licensed under CC-BY-NC-ND 4.0 license. The copyright for submitted manuscripts remains with the author(s).
