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Transport Problems

Silesian University of Technology

Subject: Economics, Transportation, Transportation Science & Technology


eISSN: 2300-861X



VOLUME 16 , ISSUE 3 (September 2021) > List of articles



Keywords : transit analysis; spatial analysis; land use mixture; transit supply

Citation Information : Transport Problems. Volume 16, Issue 3, Pages 17-28, DOI:

License : (CC BY 4.0)

Received Date : 01-June-2020 / Accepted: 07-September-2021 / Published Online: 30-September-2021



Transport activity may lead to multiple problems that decrease the quality of life of commuters. Among the many methods used to cope with these problems, considerable attention has been paid to the development of transit. Effective transit systems may encourage inhabitants to move away from the use of private cars to mass transport. It is therefore essential to identify the factors that contribute to high levels of ridership. Among such factors, land use mixture is often mentioned. However, it is unclear how it affects ridership. Therefore, to encourage further studies, it is important to develop methods of classification of spatial units in terms of land use mixture. Such analyses should be conducted for similar levels of transit supply. Hence, the aim of this paper was to develop a method of classification of spatial units in terms of land use mixture and transit supply. The method uses different characteristics of land use and transit supply as factors in the process of classification. The proposed method was used for an area in the city of Katowice to demonstrate its application.

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1. Medeiros, E. & van der Zwet, A. Sustainable and integrated urban planning and governance in metropolitan and medium-sized cities. Sustainability. 2020. Vol. 12. No. 15. P. 1-19.

2. Analysis of National Travel Statistics in Europe. JRC Technical Reports. 2013. Available at:

3. Soczówka, P. & Żochowska, R. Interactions between tram passengers and road vehicles at tram stops – a pilot study. Transactions on Transport Sciences. 2020. Vol. 11. No. 2. P. 64-76.

4. Carteni, A. & Henke, I. & Molitierno, C. & Di Francesco, L. Strong sustainability in public transport policies: an e-mobility bus fleet application in Sorrento Peninsula (Italy). Sustainability. 2020. Vol. 12. No.17. P. 1-19.

5. Holden, E. & Gilpin, G. & Banister, D. Sustainable mobility at thirty. Sustainability. 2019. Vol. 11. No. 7. P. 1-14.

6. Our Common Future. Report of the World Commission on Environment and Development. 1987. Available at:

7. Gallo, M. & Marinelli, M. Sustainable Mobility: A review of possible actions and policies. Sustainability. 2020. Vol. 12. No. 18. P. 1-39.

8. Chen, J.-H. & Nguyen, H.T.T. & Chou, C.-C. & Wang, J.-P. & Wang, T.-K. Transit-oriented development: exploring citizen perceptions in a Booming City, Can Tho City, Vietnam. Sustainability. 2021. Vol. 13. No. 3. P. 1-14.

9. New Urban Agenda. United Nations. 2017. Available at:

10. Mugion Guglielmetti, R. & Toni, M. & Raharjo, H. & Di Pietro, L. & Petros Sebathu, S. Does the service quality of urban public transport enhance sustainable mobility? Journal of Cleaner Production. 2018. Vol. 174. P. 1566-1587.

11. Friman, M. & Lattman, K. & Olsson, L.E. Public transport quality, safety, and perceived accessibility. Sustainability. 2020. Vol. 12. No. 9. P. 1-14.

12. Berezny, R. & Konecny, V. The impact of the quality of transport services on passenger demand in the suburban bus transport. Procedia Engineering. Vol. 192. P. 40-45.

13. Walker, J. Human Transit. Washington: IslandPress. 2012. 244 p.

14. Gutierrez, J. & Cardozo, O.D. & Garcia-Palomares, J.C. Transit ridership forecasting at station level: an approach based on distance-decay weighted regression. Journal of Transport Geography. 2011. Vol. 11. P. 1081-1092.

15. Kerkman, K. & Martens, K. & Meurs, H. Factors influencing bus-stop level ridership in the Arnhem Nijmegen City Region. Trail Research School. 2014.

16. Combs, T.S. Relationship among access to bus rapid transit, urban form, and household transportation outcomes: evidence from a quasi-longitudinal study in Bogota, Colombia. PhD thesis. University of North Carolina ar Chapel Hill. 2013. 190 p.

17. Soczówka, P. & Żochowska, R. & Sobota, A. & Kłos, M.J. The effect of delimitation of the area on the assessment of the density of the road network structure. Modern Traffic Engineering in the System Approach to the development of Traffic Networks. 2020. P. 20-36.

18. Kaucic, B. & Zalik, B. Quasi-regular tessellation of hexagons. Journal of Computing and Information Technology. 2001. Vol. 3. P. 227-232.

19. Friedenberg, J. The percieved beauty of regular polygon tesselations. Symmetry. 2019. Vol. 11. No. 8. P. 1-17.

20. Soczówka, P. & Żochowska, R. & Karoń, G. Method of the analysis of the connectivity of road and street network in terms of division of the city area. Computation. 2020. Vol. 8. No. 2. P. 1-28.

21. Anderson, J.R. & Hardy, E.E. & Roach, J.T. & Witmer, E. A land Use and Land Cover Classification System for Use with Remote Sensor Data. Geological Survey Professional Paper 964. 1976.

22. Harrison, R.A. National Land Use Database: Land Use and Land Cover Classification. Bristol: LandInform. 2006. 81 p.

23. Islam, M.R & Brussel, M. & Grigolon, A. & Munshi T. Ridership and the built-form indicators: a study from Ahmedabad Janmarg Bus Rapid Transit System (BRTS). Urban Science. 2018. Vol. 2. No. 4. P. 1-18.

24. Population of municipalities in Silesian Voivodeship. Bank Danych Lokalnych. Available at:

25. Map services. Available at

26. Metropolitan Transport Authority Website. Available at: