Creating Mobility of Residents on an Example of Medium-Sized Cities in Poland

Katarzyna Cheba , Maja Kiba-Janiak , Sebastian Saniuk , Krzysztof Witkowski

Abstract

The paper presents the application of selected methods of multivariate statistical analysis including factor and conjoint analyses in terms of modelling 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 as an alternative to private transport. The results of the studies presented in the article are part of the research project implemented in 2010-2013 under the 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. The structure of the paper is as follows. The second section presents the determinants of change in communication behavior of urban residents, while the third section includes the significance of the applications of multidimensional statistical analysis in order to identify citizens’ transportation preferences and behaviours. The subsequent section introduces the research results and the final part of the paper presents the conclusion.
Author Katarzyna Cheba
Katarzyna Cheba,,
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, Maja Kiba-Janiak (EMaT / DSMaL)
Maja Kiba-Janiak,,
- Department of Strategic Management and Logistics
, Sebastian Saniuk
Sebastian Saniuk,,
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, Krzysztof Witkowski
Krzysztof Witkowski,,
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Pages452-464
Publication size in sheets0.6
Book Pastuszkova Eliska, Crhova Zuzana, Vychytilova Jana, Vytrhlikova Blanka, Knapkova Adriana (eds.): Proceedings of the 7th International Scientific Conference Finance and Performance of Firms in Science, Education and Practice, 2015, Tomas Bata University in Zlin, ISBN 978-80-7454-482-8, 1727 p.
Keywords in Englishtransportation preferences, factor analysis, conjoint analysis
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, 02-07-2019, BookChapterMatConfByConferenceseries
Ministerial score (2013-2016) = 15.0, 02-07-2019, BookChapterMatConfByConferenceseries
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