Abstract
The interest in sustainable mobility and active modes has increased in the last years. A strong measure to encourage citizens towards sustainable transport choices is to promote and enlarge pedestrian areas, that appears to be the most radical and feasible measures against the modal choice towards transit and private traffic because of a reduction of noise and air pollution levels but also because of a dramatic decrease of the safety risk of vulnerable users. However, the design of a new pedestrian area will have an impact on future vehicular traffic flows that need to be evaluated. In this paper a simplified method to predict the future traffic scenarios following the establishment of a pedestrian area is presented. Results by this method have been compared with those provided by a conventional traffic demand model and a sensitive analysis employing different assignment techniques has been carried out. It is believed that the use of this method may help urban road designers and city planners in identifying critical traffic scenarios induced by new pedestrian areas and in studying suitable countermeasures to reduce traffic congestion in surrounding areas.
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Ton, D., Duives, D.C., Cats, O., Hoogendoorn, S.P.: Cycling or walking? Determinants of mode choice in the Netherlands (2019)
Programme, Pan-European: Fourth high-level meeting on transport, health and environment. Retrieved from Paris Declaration. World Health Organisation & United Nations, Paris (2014)
United Nations. The 17 Goals (2015). https://sdgs.un.org/goals
Santilli, D., D’Apuzzo, M., Evangelisti, A., Nicolosi, V.: Towards sustainability: new tools for planning urban pedestrian mobility. Sustainability 13(16), 9371 (2021)
Hubert, M., Corijn, E., Neuwels, J., Hardy, M., Vermeulen, S., Vaesen, J.: From pedestrian area to urban and metropolitan project: assets and challenges for the centre of Brussels (new edition). BSI Synopsis (2020)
Basbas, S., Campisi, T., Canale, A., Nikiforiadis, A., Gruden, C.: Pedestrian level of service assessment in an area close to an under-construction metro line in Thessaloniki, Greece. Transp. Res. Procedia 45, 95–102 (2020)
D’Apuzzo, M., Santilli, D., Evangelisti, A., Nicolosi, V.: A conceptual framework for risk assessment in road safety of vulnerable users. In: Gervasi, O., et al. (eds.) ICCSA 2021. LNCS, vol. 12958, pp. 542–556. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-87016-4_39
Jiao, J., He, S., Zeng, X.: An investigation into European car-free development models as an opportunity to improve the environmental sustainability in cities: the case of Pontevedra. In: Papers of Canadian International Conference on Humanities & Social Sciences, pp. 84–91 (2019)
D’Apuzzo, M., Santilli, D., Evangelisti, A., Pelagalli, V., Montanaro, O., Nicolosi, V.: An exploratory step to evaluate the pedestrian exposure in urban environment. In: 20th International Conference on Computational Science and Applications (ICCSA 2020), ICCSA 2021, University of Cagliari, Italy, 1–4 June 2020, pp. 645–657 (2020)
D’Apuzzo, M., Santilli, D., Evangelisti, A., Di Cosmo, L., Nicolosi, V.: Towards a better understanding of vulnerability in pedestrian-vehicle collision. In: Gervasi, O., et al. (eds.) ICCSA 2021. LNCS, vol. 12958, pp. 557–572. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-87016-4_40
Gruden, C., Campisi, T., Canale, A., Tesoriere, G., Sraml, M.: A cross-study on video data gathering and microsimulation techniques to estimate pedestrian safety level in a confined space. In: IOP Conference Series: Materials Science and Engineering, vol. 603, no. 4, p. 042008. IOP Publishing (2019)
Amprasi, V., Politis, I., Nikiforiadis, A., Basbas, S.: Comparing the microsimulated pedestrian level of service with the users’ perception: the case of Thessaloniki, Greece, coastal front. Transp. Res. Procedia 45, 572–579 (2020)
Highway Safety Manual (HCM): American Association of State Highway and Transportation Officials (AASTHO) (2010)
Cascetta, E.: Transportation Systems Analysis: Models and Applications. Springer, New York (2001). https://doi.org/10.1007/978-0-387-75857-2
Sheffi, Y.: Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods. Prentice-Hall, New Jersey (1984)
Thomas, R.: Traffic Assignment Techniques. Avebury Technical Publication, England (1991)
ISTAT: Basi territoriali e variabili censuarie. https://www.istat.it/it/archivio/104317. Accessed Apr 2021
Schnabel, W., Lohse, D.: Grundlagen der Straßenverkehrstechnik und der Verkehrspla-nung, vol. 2. Verlag für Bauwesen, Berlin (1997)
QGIS.org. QGIS Geographic Information System. QGIS Association (2022). http://www.qgis.org
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D’Apuzzo, M., Cappelli, G., Evangelisti, A., Santilli, D. (2022). A Design Method for Pedestrian Areas by a Simplified Approach to Predict the Future Traffic Scenarios. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13380. Springer, Cham. https://doi.org/10.1007/978-3-031-10542-5_25
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