Abstract
The paper presents the application of selected methods of multivariate statistical analysis including factor and conjoint analyses in terms of modeling transportation preferences of urban residents. The introduced methodologies can be useful tools for local authorities while designing solutions in order to improve the competitiveness of public transport to private transport. The results of the studies presented in the article are part of the research project implemented in 2010–2013 under a title. “Reference model of city logistics and the quality of life”. For the study undertaken in this paper, three medium-sized cities, located in the western part of Poland, were selected.
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Notes
- 1.
According to the Energy & Transport in Figs. 2006, European Commission Luxembourg, 2007, the number of private cars per 1,000 inhabitants increased from 15 in 1970 to 323 in 2007.
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Cheba, K., Kiba-Janiak, M., Saniuk, S., Witkowski, K. (2015). Modeling Transportation Preferences of Urban Residents: The Case of Poland. In: Giaffreda, R., Cagáňová, D., Li, Y., Riggio, R., Voisard, A. (eds) Internet of Things. IoT Infrastructures. IoT360 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 151. Springer, Cham. https://doi.org/10.1007/978-3-319-19743-2_12
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