Modeling transportation preferences of urban residents: The case of Poland

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Volumn 151, Issue , 2015, Pages 78-83

  Cheba, Katarzyna ^a   Kiba Janiak, Maja ^b   Saniuk, Sebastian ^c   Witkowski, Krzysztof ^c  

^a WEST POMERANIAN UNIVERSITY OF TECHNOLOGY   (Poland)

^b WROCLAW UNIVERSITY OF ECONOMICS   (Poland)

^c UNIVERSITY OF ZIELONA GÓRA   (Poland)

Author keywords

Conjoint analysis; Factor analysis; Transportation preferences

Indexed keywords

FACTOR ANALYSIS; INTERNET; INTERNET OF THINGS; MULTIVARIANT ANALYSIS; STATISTICAL METHODS;

CITY LOGISTICS; CONJOINT ANALYSIS; LOCAL AUTHORITIES; MULTIVARIATE STATISTICAL ANALYSIS; PRIVATE TRANSPORT; PUBLIC TRANSPORT; QUALITY OF LIFE; REFERENCE MODELING;

URBAN TRANSPORTATION;

EID: 84945574770     PISSN: 18678211     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-19743-2_12     Document Type: Conference Paper

References (17)

1. Brandeau, M.L., Samuel, S.C.: A center location problem with congestion. Ann. Oper. Res. 40(1), 17-32 (1992)
2. Cooper, W.W., Deng, H., Seiford, L.M., Zhu, J.: Congestion. In: Cooper, W.W., Seiford, L.M., Zhu, J. (eds.) Handbook on Data Envelopment Analysis Internatiional Series in Operations Research & Management Science, vol. 71, pp. 177-201. Springer, Heidelberg (2004)
3. Kerner, B.S., Rehborn, H., Aleksic, M.: Forecasting of traffic congestion. In: Helbing, D., Herrmann, H.I., Schreckenberg, M., Wolf, D.E. (eds.) Traffic and Granular Flow'99, pp 339-344. Springer, Heidelberg (2000)
4. Welzl, M.: Network Congestion Control: Managing Internet Traffic. John Wiley & Sons, Chichester (2005)
5. Downs, A.: Still Stuck in Traffic: Coping with Peak-hour Traffic Congestion. Brookings Institution Press, Washington (2005)
6. Richardson, H.W., Bae, C.-H.C.: Road Congestion Pricing in Europe: Implications for the United States. Edward Elgar Publishing, Cheltenham (2008)
7. Leea, R., Rivasplata, C.: Metropolitan transportation planning in the 1990s: comparisons and contrasts in New Zealand. Chile Calif. Transp. Policy 8, 47-61 (2001)
8. European Commission. Commission Staff Working Document Accompanying the White Paper-Roadmap to a Single European Transport Area-Towards a competitive and resource efficient transport system, Brussels, 28.3.2011, SEC, 391 final, pp 12-14 (2012) http://eurlex. europa.eu/LexUriServ/LexUriServ.do?uri=SEC:2011:0391:FIN:EN:PDF, 25.07.2014
9. Janecki, R., Krawiec, S., Sierpiński, G.: Public collective transport as a key element of a sustainable transport system inGórnośląsko-Zagłębiowska, Silesia Metropolis, UMKatowice, pp 105-132 (2010)
10. Masser, I., Sviden, O., Wegener, M.: Transport planning for equity and sustainability. Transp. Plann. Technol. 17, 319-330 (1993)
11. Żochowska, R.: Modelling routing in dense urban networks, Scientific Papers of Silesian University of Technology, Series: TRANSPORTATION 71 (2011)
12. Green, P.E., Wind, Y.: New way to measure consumers' judgments. Harvard Bus. Rev. 53, 107-117 (1975)
13. Green, P.E., Srinivasan, V.: Conjoint analysis in marketing: new developments with implications for research and practice. J. Mark. 54, 3-19 (1990)
14. Hair, J.F., Anderson, R.E., Tatham, R.L., Black, W.C.: Multivariatae Data Analysis with Readings. Prentice-Hall, Englewood Cliffs (1995)
15. Walesiak, M., Bąk, A.: Conjoint analysis in marketing research. AE Wrocław, Wrocław (2000)
16. Scheiner, J.: Mobiliät in Deutschland 2002-2008, Bundesministerium für Verkehr, Bau und Stadtentwicklung (Hrsg.) (2009)
17. Cheba, K., Kiba-Janiak, M.: Conjoint analysis as a method of analysing consumer preferences on example of municipal transport market, Acta Universitatis Lodziensis, Folia OECONOMICA, pp 56-61 (2013)