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The author has used econometric equations to forecast travel by car and public transport in the Paris Region in the year 2020. The parameters of the equations were estimated on the basis of the observed trends since 1980. The technique is innovative in that it takes account of changes in structural factors (distribution of population by age, ring zone of residence and car ownership) using what are termed structural demand variables. Existing forecasts of these structural factors have been used. By applying hypotheses about changes in the remaining explanatory variables (income, transport price and supply) we have estimated traffic levels in a business as usual scenario whose sensitivity to the explanatory factors has also been tested. From this we have derived some additional indicators: network congestion, trip frequencies for each mode, travel time and aggregate quality indicators. Finally, some limits of this approach are discussed.  相似文献   

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Apart from the fact that it is of interest in itself to conduct the first comparison between Urban Travel Plans in France and Italy, this paper has the more general aim of examining a number of ideas which are shared by the scientific community, namely that urban policies and planning practices take ittle account of, or even completely ignore, road safety, the relationship between town planning and transport planning and consultation.  相似文献   

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