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Improving Transport Project Appraisals

In the Islamic Countries

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forecasting. Usually they build on data on past and current traffic to study how they are linked

to other variables of the context and actors’ preferences and behaviours and combine them to

other data on population, employment, travel costs and travel times, etc. Once the model is in

place, if populated with projected data on population, employment, and other variables it results

in estimates of future demand. Different models and techniques may indeed be suggested or

required, for example deterministic/stochastic, static/dynamic, analytical/simulation

approaches. Building a model requires trading-off time and resource (especially budget and

capacity) constraints. Models that forecast the traffic demand include travel costs, travel time

and an alternative specific constant. The specification of the model is the way each variable is

linked to the other and, in particular, what depends on what and how. Depending on the level of

specification they can provide different degree of details on the demand. They have to be

adapted to freight and passengers traffic and should take into consideration network and multi-

modal effects on traffic and, where relevant, corridor level interactions among projects and

modes. For example, network effects require that models include: a sufficiently wide

geographical areas, various multimodal responses, (both in terms of competition and

complementarity), interaction in responses between passengers and freights, consider

congestion effects and changes in departure times.

The traffic demand forecasts form a key input to the project appraisal. In particular, in addition

to determine the infrastructure capacity and other more technical specifications, it affects the

calculation of socio-economic and environmental effects (which, in some cases, can be included

as direct output of the model itself). As such, any errors present within the demand forecasts

will undermine the reliability of the appraisal

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. The accuracy of demand forecasting is therefore

important in the delivery of the appraisal. In turns, the quality of the forecast depends on the

quality of the underlying models. The standard transport model structure adopted in the UK is

presented in the following figure in a flow chart format.

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https://openknowledge.worldbank.org/bitstream/handle/10986/11797/339330rev.pdf?sequence=1&isAllowed=y