Quick scan methods aim at a fast and transparent analysis of alternative solutions to planning problems in a situation of shortage of information. They generate new knowledge about solutions in early stages of decision-making and in `creative experiments' in scenario analysis. The importance of quick scan methods is growing within the trend toward more flexible and interactive approaches in decision-making in policy and planning. This article presents a quick scan of alternative technology options to transport problems, in view of their adoption in the market. The technologies involved represent sound efforts to contribute to energy efficiency and a reduction of air pollutants. The perspective used in this quick scan is spatial by emphasising the influence of spatial settlement patterns in scenario thinking on future transport.
Abstract