References
[1] European Commission. Horizon 2020: Smart, green and integrated transport. 2020. https://trimis.ec.europa.eu/programme/horizon-2020-smart-green-and-integrated-transport [Accessed 10th Mar. 2023].
[2] European Commission. European climate, infrastructure and environment executive agency. 2021. https://wayback.archive-it.org/12090/20221207155240/https://ec.europa.eu/inea/horizon-2020 [Accessed 10th Mar. 2023].
[3] Suran S, Pattanaik V, Yahia SB, Draheim D. Exploratory analysis of collective intelligence projects developed within the EU-Horizon 2020 framework. Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science. 2019. Vol. 11684. DOI: 10.1007/978-3-030-28374-2_25.
[4] Colombo LA, Pansera M, Owen R. The discourse of eco-innovation in the European Union: An analysis of the eco-innovation action plan and Horizon 2020. Journal of Cleaner Production. 2019;214:653-665. DOI: 10.1016/j.jclepro.2018.12.150.
[5] Marzi E, Morini M, Gambarotta A. Analysis of the status of research and innovation actions on electrofuels under Horizon 2020. Energies. 2022;15(2):618. DOI: 10.3390/en15020618.
[6] Saletti C, Morini M, Gambarotta A. The status of research and innovation on heating and cooling networks as smart energy systems within Horizon 2020. Energies. 2022;13(11):2835. DOI: 10.3390/en13112835.
[7] European Commission. Roadmap to a single European transport area - Towards a competitive and resource efficient transport system. 2011. https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2011:0144:FIN:EN:PDF [Accessed 10th Mar. 2023].
[8] European Commission. EU transport research & innovation status assessment report: An overview based on the transport research and innovation monitoring and information system (TRIMIS) database. 2019. https://data.europa.eu/doi/10.2760/6954 [Accessed 10th Mar. 2023].
[9] European Commission. Strategic transport research and innovation agenda (STRIA). 2019. https://research-and-innovation.ec.europa.eu/research-area/transport/stria_en [Accessed 10th Mar. 2023].
[10] Schlich R, Axhausen KW. Habitual travel behaviour: Evidence from a six-week travel diary. Transportation. 2003;30(1):13-36. DOI: 10.1023/A:1021230507071.
[11] Glykeria M, Morfoulaki M, Vassilantonakis B-M, Mpoutovinas A, Kotoula KM. Travelers-led innovation in sustainable urban mobility plans. Periodica Polytechnica: Transportation Engineering. 2020;48(2):126-132. DOI: 10.3311/PPtr.11909.
[12] Hickman R, Hall P, Banister D. Planning more for sustainable mobility. Journal of Transport Geography. 2013;33:210-219. DOI: 10.1016/j.jtrangeo.2013.07.004.
[13] Litman T. Introduction to multi-modal transportation planning - principles and practices. 2021. https://www.vtpi.org/multimodal_planning.pdf [Accessed 10th Mar. 2023]
[14] Frade I, Anabela R. Bike-sharing stations: A maximal covering location approach. Transportation Research Part A: Policy and Practice. 2015;82:216-227. DOI: 10.1016/j.tra.2015.09.014.
[15] European Commission. Smart mobility and services: Expert group report. 2018. https://data.europa.eu/doi/10.2777/490085 [Accessed 10th Mar. 2023].
[16] Iyer LS. AI enabled applications towards intelligent transportation. Transportation Engineering. 2021;5:100083. DOI: 10.1016/j.treng.2021.100083.
[17] Kitchin R. The data revolution: A critical analysis of big data, open data and data infrastructures. New York, NY, United States: SAGE Publications Ltd; 2021.
[18] Jittrapirom Pet al. Mobility as a service: A critical review of definitions. Urban Planning. 2017;2(2): 13-25. DOI: 10.17645/up.v2i2.931.
[19] Anthopoulos LG, Vakali A. Urban planning and smart cities: Interrelations and reciprocities. The Future of Internet - Lecture Notes in Computer Science. 2012;7281:178-189. DOI: 10.1007/978-3-642-30241-1_16.
[20] Gal-Tzur A, Grant-Muller SM, Minkov E, Nocera S. The impact of social media usage on transport policy: Issues, challenges and recommendations. Procedia - Social and Behavioral Sciences. 2014;111:937-946. DOI: 10.1016/j.sbspro.2014.01.128.
[21] Le Pira M, Ignaccolo M, Inturri G, Pluchino A, Rapisarda A. Modelling stakeholder participation in transport planning. Case Studies on Transport Policy. 2016;4(3):230-238. DOI: 10.1016/j.cstp.2016.06.002.
[22] Garcia-Ayllon S, Hontoria E, Munier N. The contribution of MCDM to SUMP: The case of Spanish cities during 2006–2021. International Journal of Environmental Research and Public Health. 2022;19(1):294. DOI: 10.3390/ijerph19010294.
[23] Kiba-Janiak M, Witkowski J. Sustainable urban mobility plans: how do they work? Sustainability. 2019;11(17):4605. DOI: 10.3390/su11174605.
[24] Detti A, et al. Federation and orchestration: A scalable solution for EU multimodal travel information services. Sustainability. 2019;11(7):1888. DOI: 10.3390/su11071888.
[25] Giannakopoulou K, Paraskevopoulos A, Zaroliagis C. Multimodal dynamic journey-planning. Algorithms. 2019;12(10):213. DOI: 10.3390/a12100213.
[26] Esztergár-Kiss D. Trip chaining model with classification and optimization parameters. Sustainability. 2020;12(16):6422. DOI: 10.3390/su12166422.
[27] Lim C, Kim K-W, Maglio P. Smart cities with big data: reference models, challenges and considerations. Cities. 2018;82:86-99. DOI: 10.1016/j.cities.2018.04.011.
[28] Zhu L, et al. Big data analytics in intelligent transportation systems: A survey. IEEE Transactions on Intelligent Transportation Systems. 2019;20(1):383-398. DOI: 10.1109/TITS.2018.2815678.
[29] Abduljabbar R, Dia H, Liyanage S, Bagloee SA. Applications of artificial intelligence in transport: An overview. Sustainability. 2019;11(1):189. DOI: 0.3390/su11010189.
[30] Santoni de Sio F, Mecacci G. Four responsibility gaps with artificial intelligence: Why they matter and how to address them. Philosophy & Technology. 2021;34:1057-1084. DOI: 0.1007/s13347-021-00450-x.
[31] Hopkins D. Destabilising automobility? The emergent mobilities of generation Y. Ambio. 2017;46:371-383. DOI: 10.1007/s13280-016-0841-2.
[32] Dias FF, et al. A behavioral choice model of the use of car-sharing and ride-sourcing services. Transportation. 2017;44:1307-1323. DOI: 10.1007/s11116-017-9797-8.
[33] Campbell AA, Cherry CR, Ryerson MS, Yang X. Factors influencing the choice of shared bicycles and shared electric bikes in Beijing. Transportation Research Part C: Emerging Technologies. 2016;67:399-414. DOI: 10.1016/j.trc.2016.03.004.
[34] Matyas M, Kamargianni M. The potential of mobility as a service bundles as a mobility management tool. Transportation. 2019;46:1951-1968. DOI: 10.1007/s11116-018-9913-4.
[35] Butler L, Yigitcanlar T, Paz A. Barriers and risks of mobility-as-a-service (MaaS) adoption in cities: A systematic review of the literature. Cities. 2021;109:103036. DOI: 10.1016/j.cities.2020.103036.
[36] Albino V, Berardi U, Dangelico RM. Smart cities: Definitions, dimensions, performance and initiatives. Journal of Urban Technology. 2015;22(1):3-21. DOI: 10.1080/10630732.2014.942092.
[37] Angelakoglou K, et al. A methodological framework for the selection of key performance indicators to assess smart city solutions. Smart Cities. 2019;2(2):269-306. DOI: 10.3390/smartcities2020018.
[38] Rashidi TH, Abbasi A, Maghrebi M, Hasan S, Waller TS. Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges. Transportation Research Part C: Emerging Technologies. 2017;75:197-211. DOI: 10.1016/j.trc.2016.12.008.
[39] Osorio-Arjona J, García-Palomares JC. Social media and urban mobility: Using twitter to calculate home - work travel matrices. Cities. 2019;89:268-280. DOI: 10.1016/j.cities.2019.03.006.
