Public transport in the Ljubljana Urban Region

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Expert guidelines for the regulation of regional public transportSummaryFigure 4.1:Distribution of journeysby private carNumber of journeys25%Survey 2003(avg time 20.0 min)maxModel 2008(avg time 17.4 min)An example of the validation of burdening in the morning peak hour is shown in Tablesfrom 4.5 to 4.9.20%15%OVTable 4.5:Matching analysis ofmodel and traffic countvalues, morning peakhour in 2008Morning peak hour Criterion Traffic count points – valueall automaticdeviation of vehicle distance travelled (%) < 3 –0.45 –0.48correlation coefficient > 0.90 0.975 0.98710%RMSE (%) < 30 19.24 17.77NCHRP 255 (%) 97.06 99.125%share of sections with GEH < 5 (%) > 85 81.44 88.99share of sections meeting the third DMRB criterion (%) > 85 83.47 92.510%05 10 15 20 25 30 35 40 45 50 85%average GEH value 1.81 < 5Period Passenger-kilometres Absolute difference Difference in %Model Traffic countUPT – morning peak hour 68,878 68,064 814 1.264 65
Expert guidelines for the regulation of regional public transportSummaryMethodology of PPT systems simulationsTable 4.8:Matching analysis ofmodel and traffic countvalues at selected crosssectionsfor operatorsKambus and LPTTable 4.9:Comparison betweenmodel and traffic countdata on passengerkilometres for operatorsKambus and LPTOperator Statistical method Morning peak hour CriterionKambus MRE (%) 16 < 30.0correlation coefficient 0.98 > 0.9% of cross-sections with GEH value < 5 93 > 85.0GEH mean value 2.40LPP MRE (%) 16 < 30.0correlation coefficient 0.99 > 0.9% of cross-sections with GEH value < 5 86 > 85.0GEH mean value 2.45Operator – day period Passenger kilometres Absolute difference Difference in %Model Traffic countKambus – morning peak hour 11557 11621 -64 –0.5LPT – morning peak hour 19766 18675 1091 5.8·Forecasts for the burden on the traffic network in 2027In addition to the inter-modal four-step passenger traffic model for the base year 2008,a projection of traffic flow volume for 2027 was made. The forecast is based ondemographic and socio-economic development forecasts, and on the analysis of spatialimpacts of scenarios for regulating public transport in order to attain the standards.The forecast takes into consideration the existing situation, development data on jobsdistribution, earlier development trends in the discussed area and spatial plans for thefuture. The forecast also took into account previous growth in the number of passengerscarried by public transport and the growth of traffic flows as recorded by traffic countpoints. The forecast also includes the envisaged construction of the traffic infrastructure,together with elements of scenarios for regulating public transport in the region such as:new road links and reconstructions;new P & R schemes, new car park buildings and extension of existing ones;new bus routes and new timetables;overground and underground urban light rail services;upgrading inter-urban railway services along with timetables;waterways;introduction of a unitary ticket and unification of timetables.The total number of all journeys generated on an average working day in 2027; this rise isshown in Table 4.10.Table 4.10:Total number ofjourneys generatedArea Number of journeys generated Increment factor 2027/2008Municipality of Ljubljana 1,628,024 1.25LUR 2,176,070 1.21Internal traffic model 2,356,291 1.2066 67Accessibility standards can be ensured through combinations of measures for regulatingpublic transport such as timetables, the fare charging system and measures stated withinthe framework of activities for the ‘Preparation of the PPT Plan’. These combinationsof measures may be called scenarios for the regulation of public transport. They werechecked against the multi-modal passenger traffic model for the time horizons of 0 and+20 years.
Page 1: Public transportin the LjubljanaUrb
Page 4 and 5: Zoran JankovićAddress of the presi
Page 6 and 7: Mayors of the Ljubljana Urban Regio
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Page 10 and 11: Mag. Lilijana MadjarYes, it's time
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Public transport in the Ljubljana Urban Region

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