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Tytuł artykułu

Selected aspects of the methodology of a household interview survey on an urban agglomeration scale with regard to its services

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article presents the essential issues and algorithm of the methodology of a four-step transportation model, which was constructed in order to carrying out a household interview survey. The results of this research are source data for determining the travel behaviour of the users of transportation systems, including intelligent transport systems (ITS). The presented issues regarding the survey methodology also concern the specifics of the study area, an urban agglomeration area. The examples particularly relate to an urban agglomeration with the nature of a conurbation, namely, the Upper Silesian Agglomeration in Poland.
Rocznik
Tom
Strony
239--249
Opis fizyczny
Bibliogr. 19 poz.
Twórcy
  • Faculty of Transport, The Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland
autor
  • Faculty of Transport, The Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland
autor
  • Faculty of Transport, The Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland
autor
  • Faculty of Economics, University of Economics, 1 May 50 Street, 40-287 Katowice, Poland
Bibliografia
  • 1. Aaron Agbenyegah Agbo, Wenfeng Li, Lanbo Zheng, Yanwei Zhang, Charles Atombo 2017. “Optimisation of intermodal freight transport network”. European Transport/Transporti Europei 63(1). ISSN 1825-3997
  • 2. Boyce David, Huw Williams. 2015. Forecasting Urban Travel. Past, Present and Future. Cheltenham, UK; Northampton, MA: Edward Elgar Publishing. ISBN 978-1-84844-960-2.
  • 3. Cambridge Systematics, Inc. 1996. Travel Survey Manual. Washington, DC: Department of Transportation and Local Government.
  • 4. Department of Economic and Social Affairs. 2005. Designing Household Survey Samples: Practical Guidelines. Studies in Methods. New York, NY: United Nations.
  • 5. Department of Transport. 2016. National Travel Survey: England 2015. Available at: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/551437/national-travel-survey-2015.pdf.
  • 6. Drisya Manghat, Aswathy KV, Krishnamurthy Karuppanagounder. 2017. “Automobile level of service criteria for two-line undivided heterogeneous urban corridors”. European Transport/Trasporti Europei 63(9). ISSN: 1825-3997.
  • 7. Erfan Hassannayebi, Seyed Hessameddin Zegordi, Mohammad Reza Amin-Naseri, Masoud Yaghini. 2017. “Optimizing headways for urban rail transit services using adaptive particle swarm algorithms”. Public Transport. DOI:10.1007/s12469-016-0147-6.
  • 8. Jacyna-Gołda Ilona, Jolanta Żak, Piotr Gołębiowski. 2014. “Models of traffic flow distribution for various scenarios of the development of proecological transport system”. Archives of Transport 32 (4): 17-28. ISSN 0866-9546. DOI: 10.5604/08669546.1146994.
  • 9. Kulpa Tomasz, Andrzej Szarata. 2016. “Analysis of household survey sample size in trip modelling process.” Transportation Research Procedia 14: 1753-1761.
  • 10. Nosal Katarzyna, Wiesław Starowicz. 2015. “Evaluation of influence of mobility management instruments implemented in separated areas of the city on the changes in modal split”. Archives of Transport 35(3): 41-52. ISSN 0866-9546. DOI: 10.5604/08669546.1185186.
  • 11. Pallav Kumar, Krinshnanunni, Shriniwas Arkatkar, Gaurang Joshi, 2017. “Examining microscopic and macroscopic traffic flow parameters at diverging section on multilane urban roads in India”. European Transport/Trasporti Europei 63(2). ISSN: 1825-3997.
  • 12. Pyza Dariusz. 2011. “Multi-criteria evaluation of transportation systems in supply chains”. Archives of Transport 23(1): 47-65. ISSN 0866-9546.
  • 13. Richardson Anthony J., Elizabeth S. Ampt, Arnim H. Meyburg. 1995. Survey Methods for Transport Planning. Melbourne: Eucalyptus Press.
  • 14. Sierpiński Grzegorz. 2017. “Distance and frequency of travels made with selected means of transport. A case study for the Upper Silesian conurbation (Poland). In: G. Sierpiński (ed.). Intelligent Transport Systems and Travel Behavior. Advances in Intelligent Systems and Computing, 75-85. Cham, Switzerland: Springer International Publishing. ISBN 978-3-319-43990-7. DOI: https://doi.org/10.1007/978-3-319-43991-4_7.
  • 15. Statistics Canada. 2010. Survey Methods and Practices. Catalogue no. 12-578-X. Statistics Canada: Ottawa. ISBN 978-1-100-16410-6.
  • 16. Taylor Michael A.P., William Young, Marcus Wigan. 1992. “Designing a large-scale travel demand survey: new challenges and new opportunities.” Transportation Research Part A: Policy and Practice 26A(3): 247-261. ISSN: 0965-8564. DOI: 10.1016/0965-8564(92)90035-6.
  • 17. Transportation Research Board. 2007. Metropolitan Travel Forecasting. Current Practice and Future Direction. Special Report 288. Washington, DC: Transportation Research Board.
  • 18. Transportation Research Board’s Travel Survey Methods Committee. The On-line Travel Survey Manual: A Dynamic Document for Transportation Professionals. Available at: http://www.travelsurveymanual.org.
  • 19. Wasiak Mariusz. 2016. “Vehicle selection model with respect to economic order quantity.” Archives of Transport 40(4): 77-85. ISSN 0866-9546. DOI:10.5604/08669546.1225471.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-79fd1bfe-25d1-401f-ba2b-d0f1e39ffc41
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