Abstract
The micro-mobility sector is spreading in the Italian and European urban context. The use of micro-mobility vehicles is often adopted to reach areas with particular transit restrictions or to avoid the problem of parking and congestion on the roads. Although personal mobility vehicles (PMV) are characterized by a growing technology, they still have problems related to driving safety in shared road spaces, not only for the inadequacy of infrastructure but also for some regulatory deficiencies and user behaviour. The Italian legislation is very recent and regulates the operational characteristics of the various vehicles and limits their use to certain age groups and in some areas of the cities. The present work focuses on the analysis of the attitudes and perceptions of a sample of users using micro-mobility in the centre of Palermo, one of the metropolises of Southern Italy. The results were obtained by administering questionnaires to a sample of specific users and the data were studied through a bivariate statistical analysis that highlights the significance of the comparison between two variables. The sample was chosen in collaboration with an association of citizens that promotes group activities by moving with means of micro-mobility in Palermo. Several correlations between the variables were addressed and among these some socio-economic ones were related to the propensity to rent and the perception of safety during the use of PMVs in Palermo. From this comparison, conclusions and notes useful for further research steps emerge.
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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 DT focused on the state of the art. TC designed the methodological approach and discussion. Supervision and research funding KN and GT
Zagorskas, J., Burinskienė, M.: Challenges caused by increased use of e-powered personal mobility vehicles in European cities. Sustainability 12(1), 273 (2020). https://doi.org/10.3390/su12010273
Yu, Z., Feng, Z., Jiang, K., Huang, Z., Yang, Z.: Riding personal mobility vehicles on the road: an analysis of the intentions of Chinese users. Cogn. Technol. Work 1–14 (2019). https://doi.org/10.1007/s10111-019-00617-9
Yarmohammadi, A., et al.: Characterization of facial trauma associated with standing e-scooter injuries. Ophthalmology (2020). https://doi.org/10.1016/j.ophtha.2020.02.007
Yang, H., Ma, Q., Wang, Z., Cai, Q., Xie, K., Yang, D.: Safety of micro-mobility: analysis of E-Scooter crashes by mining news reports. Accident Anal. Prevent. 143 (2020). https://doi.org/10.1016/j.aap.2020.105608
Berti, Z., et al.: Driving segway: a musculoskeletal investigation. In: Stanton, N. (ed.) AHFE 2019. AISC, vol. 964, pp. 585–595. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-20503-4_53
Hosseinzadeh, P., et al.: Hoverboard injuries in children and adolescents: results of a multicenter study. J. Pediatric Orthopaed. B 28(6), 555–558 (2019). https://doi.org/10.1097/BPB.0000000000000653
Shaheen, S., Cohen, A., Chan, N., Bansal, A.: Sharing strategies: carsharing, shared micromobility (bikesharing and scooter sharing), transportation network companies, microtransit, and other innovative mobility modes. In: Transportation, Land Use, and Environmental Planning, pp. 237–262. Elsevier (2020). https://doi.org/10.1016/B978-0-12-815167-9.00013-X
Campisi, T., Acampa, G., Marino, G.: Tesoriere, G.: Cycling master plans in Italy: the I-BIM feasibility tool for cost and safety assessments. Sustainability 12(11), 4723 (2020). https://doi.org/10.3390/su12114723
Torrisi, V., Ignaccolo, M., Inturri, G.: Toward a sustainable mobility through a dynamic real-time traffic monitoring, estimation and forecasting system: the RE.S.E.T. project. In: Town and Infrastructure Planning for Safety and Urban Quality - Proceedings of the 23rd International Conference on Living and Walking in Cities, LWC 2017, pp. 241–250 (2018). https://doi.org/10.1201/9781351173360-32
Ignaccolo, M., Inturri, G., Giuffrida, N., Le Pira, M., Torrisi, V.: Public engagement for designing new transport services: investigating citizen preferences from a multiple criteria perspective. Transp. Res. Procedia 37, 91–98 (2019). https://doi.org/10.1016/j.trpro.2018.12.170
Torrisi, V., Ignaccolo, M., Inturri, G.: Innovative transport systems to promote sustainable mobility: developing the model architecture of a traffic control and supervisor system. In: Gervasi, O., et al. (eds.) ICCSA 2018. LNCS, vol. 10962, pp. 622–638. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95168-3_42
Canale, A., Tesoriere, G., Campisi, T.: The MAAS development as a mobility solution based on the individual needs of transport users. In: AIP Conference Proceedings, vol. 2186, no. 1, p. 160005. AIP Publishing LLC, December 2019. https://doi.org/10.1063/1.5138073
Karlsson, I.C.M., et al.: Development and implementation of mobility-as-a-service-a qualitative study of barriers and enabling factors. Transp. Res. Part A Pol. Pract. 131, 283–295 (2020). https://doi.org/10.1016/j.tra.2019.09.028
Campisi, T., Torrisi, V., Ignaccolo, M., Inturri, G., Tesoriere, G.: University propensity assessment to car sharing services using mixed survey data: the Italian case study of Enna city. Transp. Res. Procedia 47, 433–440 (2020). https://doi.org/10.1016/j.trpro.2020.03.155
Kim, D., Park, Y., Ko, J.: Factors underlying vehicle ownership reduction among carsharing users: a repeated cross-sectional analysis. Transportation Research Part D: Transport and Environment 76, 123–137 (2019). https://doi.org/10.1016/j.trd.2019.09.01817
Kim, I.H., Choi, K.M., Jun, J.I.: A survey on riding characteristics and helmet wearing conditions of bicycle and PMV (Personal Mobility Vehicle) riders. Fash. Text. Res. J. 20(1), 63–74 (2018). https://doi.org/10.5805/SFTI.2018.20.1.63
Likert, R.: A technique for the measurement of attitudes. In: Archives of Psychology (1932)
Miller, R., Siegmund, D.: Maximally selected chi square statistics. Biometrics 1011–1016 (1982). https://doi.org/10.2307/2529881
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Campisi, T., Nahiduzzaman, K.M., Ticali, D., Tesoriere, G. (2020). Bivariate Analysis of the Influencing Factors of the Upcoming Personal Mobility Vehicles (PMVs) in Palermo. 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_62
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