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ACCESSIBILITY ZONES OF THE UNIVERSITY ACCORDING TO STUDENTS TRANSPORTATION PREFERENCES

Vit Vozenilek, Jaroslav Burian

First published: 2016-06-28https://doi.org/10.5593/sgem2016/b23/s11.003View metrics

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Publication details

Title
ACCESSIBILITY ZONES OF THE UNIVERSITY ACCORDING TO STUDENTS TRANSPORTATION PREFERENCES
Authors
Vit Vozenilek, Jaroslav Burian
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 16th International Multidisciplinary Scientific GeoConference SGEM2016, Informatics, Geoinformatics and Remote Sensing
Publisher
Stef92 Technology
Year
2016
Pages
19-26
ISSN
1314-2704
ISBN
978-619-7105-60-5
Language
en
Publication type
Conference Paper
References26
  1. Bhat C.R., Koppelman F.S., Activity-based travel demand analysis: History, results, and future direction, 79 th annual meeting of the Transportation Research Board, USA, 2000.

  2. Ivan I., Horák J., Zajíčková L. , Theoretical and real public transport flows – daily commuting in the Czech Republic, International Conference on Traffic and Transport Engineering, ICTTE 2014, Serbia, pp 938–946, 2014.

  3. Tuček P., Rypka M., Tučková M., et al., Spatial complexity of transport infrastructure in Czech Republic, 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing, Bulgaria, vol. 3, pp 877-884, 2014.

  4. Vondrakova A., Non-technological Aspects of Map Production. International Multidisciplinary Scientific GeoConference SGEM2013, vol. 1, pp 813-820, 2013.

  5. Be-Akiva M.E., Bowman J.L., Activity based disaggregate travel demand model system with daily activity schedules, Transportation Research, 1997.

  6. Horák Z., Kudělka M., Snášel V. et al., Orthophoto map feature extraction based on neural networks, CEUR Workshop Proceedings, vol. 706, pp 216-225, 2011.

  7. Svobodová J., Voženílek V., Relief for Models of Natural Phenomena , In Anděl J., Bičík I., Dostál P. et al. (eds.), Landscape Modelling: Geographical Space, Transformation and Future Scenarios, Dordrecht, Springer, pp 183-196, 2010.

  8. Ivan I., Horák J., Zajíčková L., Theoretical and real public transport flows – daily commuting in the Czech Republic, International Conference on Traffic and Transport Engineering ICTTE 2014, Serbia, pp 938–946, 2014.

  9. Koukol M., Zajíčková L., Tuček, P., Fuzzy Logic in Traffic Signal Control – A Review, Mathematical Problems in Engineering, vol. 2015, 2015.

  10. Pas E.I., Koppelman F.S., An examination of the determinants of day- to-d ay variability in individual’s urban travel b ehavior, Transportation, vol. 13, pp183-200 , 1987.

  11. Neutens T., Delafontaine M., Scott D. et al., A GIS-based method to identify spa tiotemporal gaps in public service delivery, Applied Geography, vol. 32, pp 253-264, 2012.

  12. White M.P., Dolan P., Accounting for the richness of daily activities, Psychological Science, vol. 20, pp 1000-1008, 2009.

  13. Ortuzar J.dD., Willumsen L.G., Modelling Transport, Chichester, Wiley and Sons, 16th International Multidisciplinary Scientific GeoConference SGEM 2016

  14. Bhat C.R., Koppelman F.S., Activity-based travel demand analysis: History, results, and future direction, 79 th annual meeting of the Transportation Research Board, USA, 2000.

  15. Ivan I., Horák J., Zajíčková L. , Theoretical and real public transport flows – daily commuting in the Czech Republic, International Conference on Traffic and Transport Engineering, ICTTE 2014, Serbia, pp 938–946, 2014.

  16. Tuček P., Rypka M., Tučková M., et al., Spatial complexity of transport infrastructure in Czech Republic, 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing, Bulgaria, vol. 3, pp 877-884, 2014.

  17. Vondrakova A., Non-technological Aspects of Map Production. International Multidisciplinary Scientific GeoConference SGEM2013, vol. 1, pp 813-820, 2013.

  18. Be-Akiva M.E., Bowman J.L., Activity based disaggregate travel demand model system with daily activity schedules, Transportation Research, 1997.

  19. Horák Z., Kudělka M., Snášel V. et al., Orthophoto map feature extraction based on neural networks, CEUR Workshop Proceedings, vol. 706, pp 216-225, 2011.

  20. Svobodová J., Voženílek V., Relief for Models of Natural Phenomena , In Anděl J., Bičík I., Dostál P. et al. (eds.), Landscape Modelling: Geographical Space, Transformation and Future Scenarios, Dordrecht, Springer, pp 183-196, 2010.

  21. Ivan I., Horák J., Zajíčková L., Theoretical and real public transport flows – daily commuting in the Czech Republic, International Conference on Traffic and Transport Engineering ICTTE 2014, Serbia, pp 938–946, 2014.

  22. Koukol M., Zajíčková L., Tuček, P., Fuzzy Logic in Traffic Signal Control – A Review, Mathematical Problems in Engineering, vol. 2015, 2015.

  23. Pas E.I., Koppelman F.S., An examination of the determinants of day- to-d ay variability in individual’s urban travel b ehavior, Transportation, vol. 13, pp183-200 , 1987.

  24. Neutens T., Delafontaine M., Scott D. et al., A GIS-based method to identify spa tiotemporal gaps in public service delivery, Applied Geography, vol. 32, pp 253-264, 2012.

  25. White M.P., Dolan P., Accounting for the richness of daily activities, Psychological Science, vol. 20, pp 1000-1008, 2009.

  26. Ortuzar J.dD., Willumsen L.G., Modelling Transport, Chichester, Wiley and Sons, 16th International Multidisciplinary Scientific GeoConference SGEM 2016

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