Transport plays an active part in the economic development of developing countries. A deterioration in the service quality of the infrastructure has an influence notably on industrial production costs. Two criteria enable us to judge the variation in the service quality of the infrastructure: the deterioration and the saturation of networks.We can more easily see the interrelation between the variables concerning the service quality of transport networks and those relation to industrial activity by the use of an econometric model. The model put forward, which takes Algeria as its example, came accross the difficulty of only having a limited amount of data. Nevertheless, the results of the model do not contradict the theories put forward, and allow us to bring up the problem of the need for better qualitative adaptation of transport to the industrial sector.
The set-up of most various solutions to palliate the need for mass transportation in suburbs proves the existence of a still widerly unexploited "transportation field".First, the nickness of all these means of transportation, Rall-way between private and public transportation, is shown through a classification of paratransit. The potential adaptation of paratransit to the various needs of urban transportation is based upon this large technical, as well as economical, diversity of this unexploited transportation field.Then, it is shown how a complete integration of mass transportation and paratransit, within the frame of a global development policy of the suburbs, can fulfill the need for transportation in these areas.
The multimodal transport demand model, being developed in France since 1973, aims above all at better taking into account the influence of the level of service of different transport modes on the choice of mode and on mobility. While preceding models of the type "journey cost-journey time-passenger income" dealt essentially with business trips by air or railway in first class, this model has the following extensions:- taking into account all the interregional modes of transport: trains, aircraft, passengers cars,- taking into account private journeys,- simulation of individual travel behaviour on the basis of sample trips.The aim and general model design ware given in a preceding article. Here the reader will find further details of the operation of the model and the first results obtained.
This article essencially deals with an important point rarely tacked in the breakeven analysis, i.e. the taking into account of the incertainty which gets more and more important in our modem world.As far as transport infrastructure is concerned, uncertainty relates to traffic forecast, evolution with time of unit values and to the whole economic environment. This article analyses the impact of these different sorts of uncertainties and puts forward easy methods to take uncertainty into account in the usual calculations.