Article
ANALYSIS OF PUBLIC TRANSPORT AND DEMOGRAPHIC CHANGE IN EUROPE SINCE 2000
DOI: 10.7708/ijtte2022.12(4).04
12 / 4 / 480-490 Pages
Author(s)
Janos Berenyi - KTI – Institute for Transport Sciences, Directorate for Strategy, Research and Innovation Hungary, H-1111 Budapest, Thank Karoly str 3-5 -
Abstract
The population's structure may modify transport modelling. The main question is how to model transport demand changes due to an ageing population and a change in the working-age population. The correlation between transport and the total population is high and positive in the Scandinavian, Baltic and Western European countries and the former socialist countries. In Central European countries, the correlation is stable but only moderate. In former socialist countries, the correlation between transport and the total and dependent populations is different.
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References:
Andrejszki, T.; Torok, A.; Csete, M. 2015. Identifying the utility function of transport services from stated preferences, Transport and Telecommunication Journal 16(2): 138-144. doi: 10.1515/ttj-2015-0013.
DG MOVE. 2019. Transport in the European Union Current Trends and Issues. Directorate-General for Mobility and Transport of the European Commission; Brussels.
ICAO. 2006. Manual on Air Traffic Forecasting. Third Edition. International Civil Aviation Organization. Montreal, Canada.
KTI. 2018. Development of national origin-destination traffic survey and matrices 2016 [in Hungarian: Országos cé-lforgalmi felvétel és mátrixok kidolgozása 2016]. KTI – Institute for Transport Sciences, Budapest, Hungary.
Lucas, P. 2019. Demography, geography, and airport traffic. Available from Internet: https://blog.aci.aero/demography-geography-and-airport-traffic/.
Matijošius, J.; Juciūtė, A.; Rimkus, A.; Zaranka, J. 2022. Investigation of the concentration of particles generated by public transport gas (CNG) buses, Cognitive Sustainability 1(1): 1-5. doi: 10.55343/cogsust.10.
Miskolczi, M.; Földes, D.; Munkácsy, A.; Jászberényi, M. 2021. Urban mobility scenarios until the 2030s, Sustainable Cities and Society 72: 103029. doi: 10.1016/j.scs.2021.103029.
Munkácsy, A.; Keserű, I.; Siska, M. 2022. Travel-based Multitasking on Public Transport: An Empirical Research in Hungary, Periodica Polytechnica Transportation Engineering 50(1): 43-48. doi: 10.3311/PPtr.15866.
Sipos, T.; Szabó, Z.; Török, Á. 2021. Spatial econometric cross-border traffic analysis for passenger cars–Hungarian experience, Promet-Traffic&Transportation 33(2): 233-246. doi: 7307/ptt.v33i2.3641.
Szabó, Z.; Sipos, T. 2022. The Connection Between Spatial Autocorrelation and Border Crossing Traffic, International Journal for Traffic & Transport Engineering 12(1): 140-154. doi: 10.7708/ijtte2022.12(1).10.
NCHRP. 2020. NCHRP Report 934: Traffic Forecasting Accuracy Assessment Research. The National Academies of Sciences, Engineering and Medicine, TRB, USA.
Trenecon. 2018. Methodological guide for cost-benefit analysis of individual transport projects [in Hungarian: Mód-szertani útmutató egyes közlekedési projektek költség-haszon elemzéséhez], Budapest, Hungary.