Abstract
Sustainable mobility is often related to the balance between supply and demand transport, including in its development in terms of connection between the behavioural and economic factors. Furthermore, the investigation of travel reason is useful for the aforementioned selection, also correlating with the different age groups and gender. There is a growing need for young people to access university campuses but the transport supply is often not adapted to student needs. This problem involves compromising not only accessible status but also sustainability and therefore the environmental, economic and social aspect. In this way, it emerges that is necessary to adapt to the growing transport services with student economic availability, travel distance and waiting times. This work explored the accessibility of a university campus (school node), through interviews considering a current transport offer and home–school reason. It was also linked to the availability of parking lots adjacent to the campus and the occupancy rates of the various neighbouring car parks were also calculated, monitoring the aforementioned areas for about a month using video cameras and sensors. The research investigated both travel distances in Euclidean and network terms and both travel times through the use of a micro-simulation tool and a linear equation. The study shows as a first research step that the shared mobility solution saves time but also highlights the critical issues of the service that should be better adapted to the students’ needs in terms of rate, type of car and subscription.
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This paper is the result of the joint work of the authors. ‘Abstract’ ‘Introduction’ ‘Methodology’ and ‘Results’ were written jointly by the authors. TC and AC focused on the state of the art. TC and LS designed the methodological approach and discussion. Supervision and research funding AB, TC and GT.
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Acknowledgments
The authors acknowledge financial support from the MIUR (Ministry of Education, Universities and Research [Italy]) through a project entitled WEAKI TRANSIT: WEAK-demand areas Innovative TRANsport Shared services for Italian Towns (Project code: 20174ARRHT/CUP Code: J74I19000320008), financed with the PRIN 2017 (Research Projects of National Relevance) program. We authorize the MIUR to reproduce and distribute reprints for Governmental purposes, notwithstanding any copyright notations thereon. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the MIUR.
Funding
This research work was partially funded by the MIUR (Ministry of Education, Universities and Research [Italy]) through a project entitled WEAKI TRANSIT.
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Canale, A., Campisi, T., Tesoriere, G., Sanfilippo, L., Brignone, A. (2020). The Evaluation of Home-School Itineraries to Improve Accessibility of a University Campus Trough Sustainable Transport Modes. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12250. Springer, Cham. https://doi.org/10.1007/978-3-030-58802-1_54
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