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https://hdl.handle.net/123456789/1790| Τύπος: | Διδακτορική διατριβή |
| Τίτλος: | Intelligent transport systems with usage of big data for management of sustainable mobility |
| Εναλλακτικός τίτλος: | Ευφυή συστήματα μεταφορών με χρήση μεγάλων δεδομένων για τη διαχείριση της βιώσιμης κινητικότητας |
| Συγγραφέας: | [EL] Καρατσόλη, Μαρία[EN] Karatsoli, Maria |
| Επιβλέπων διατριβής: | [EL] Ναθαναήλ, Ευτυχία[EN] Nathanail, Eftihia |
| Μέλος εξεταστικής επιτροπής: | [EL] Μπάσμπας, Σωκράτης[EN] Basbas, Sokratis [EN] Cats, Oded [EL] Πολίτης, Ιωάννης[EN] Politis, Ioannis [EL] Κοπελιάς, Παντελεήμων[EN] Kopelias, Panteleimon [EL] Γαβανάς, Νικόλαος[EN] Gavanas, Nikolaos [EL] Θεοφιλάτος, Αθανάσιος-Ιωάννης[EN] Theofilatos, Athanasios-Ioannis |
| Ημερομηνία: | 04/09/2023 |
| Περίληψη: | Urban mobility is a critical component of urban planning and development, and it plays a significant role in shaping a city's economic growth, social equity, and environmental sustainability. The increasing demand for urban mobility in modern cities leads to traffic congestion, air pollution, and other environmental and societal impacts that are detrimental to the well-being of individuals and communities. In response to these challenges, there is a growing need to shift towards more sustainable mobility behavior. Sustainable urban mobility aims to promote transportation systems that are efficient, affordable, safe, and environmentally friendly. Intelligent Transportation Systems (ITS) play a crucial role in achieving sustainable mobility. ITS is a broad field that encompasses a wide range of technologies and applications, such as traffic management systems, intelligent vehicles, and advanced traveler information systems. These technologies provide valuable data in large volumes, with high velocity and different structure, enabling informed decisions and optimization of transportation systems. ITS and mobility services primarily based on big data lead to new possibilities for solving transport problems and creating the background for improvements in the existing services and technologies. One area of research that has gained attention in recent years is the investigation of the impact of social media on mobility behavior. With the widespread use and popularity of social media platforms, researchers are exploring how transport-related content shared on these platforms can influence people's mobility behavior. By understanding the dynamics of social media and its impact on mobility behavior, targeted strategies can be developed to promote information about sustainable mobility. However, the success of any sustainable mobility strategy ultimately depends on the involvement of people. If people are not convinced to embrace change, any action towards enhancing mobility will remain ineffective. Therefore, it is essential to involve communities and stakeholders in the planning and implementation of sustainable mobility strategies and plans. People’s involvement in the process ensures that the developed solutions are inclusive, equitable, and meet the needs of all members of society. This dissertation aims to investigate the potential applications of big data and social media in transportation, and their impact on travel behavior, decision-making, and promotion of sustainable urban mobility. The introduction sets the stage by highlighting the need for more effective transportation planning and management strategies. The importance of transportation planning and management is emphasized, and the potential of big data and social media is introduced to support these efforts. The research is divided into several parts, including a focus on big data in transportation studies, exploring the potential of social media use for urban mobility and travel choices, and examining transport-related social media content and its role in urban mobility. GPS and self-reported data are used to evaluate daily trips and the impact of travel information on transportation choices. The impact of information on pedestrians and public transport users after crowding information is investigated in the era of COVID-19. The research concludes by presenting important findings and main conclusions. The potential of big data and social media to support sustainable transportation choices and urban mobility is highlighted. Guiding principles for policymakers and transportation professionals are also presented, including the need for better data management, the use of social media for targeted communication, and the development of innovative transportation services and technologies. In summary, this dissertation contributes to the growing body of literature on the potential of big data and social media in transportation studies. |
| Γλώσσα: | Αγγλικά |
| Τόπος δημοσίευσης: | Volos, Greece |
| Σελίδες: | 376 |
| DOI: | 10.12681/eadd/54823 |
| Θεματική κατηγορία: | [EL] Επιστήμη και Τεχνολογία των μεταφορών[EN] Transportation science and Technology |
| Λέξεις-κλειδιά: | Big Data; mobility; Intelligent transport systems; travel behavior; sustainability; urban mobility |
| Κάτοχος πνευματικών δικαιωμάτων: | © 2023 Maria E. Karatsoli |
| Σημειώσεις: | «This research is co-financed by Greece and the European Union (European Social Fund- ESF) through the Operational Programme «Human Resources Development, Education and Lifelong Learning» in the context of the project “Strengthening Human Resources Research Potential via Doctorate Research” (MIS-5000432), implemented by the State Scholarships Foundation (ΙΚΥ)» |
| Εμφανίζεται στις συλλογές: | Υποψήφιοι διδάκτορες |
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