Adoption of new transport technology: a quick scan approach
M. van Geenhuizen,
Peter Nijkamp and
D. Banister
Additional contact information
M. van Geenhuizen: Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics
No 27, Serie Research Memoranda from VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics
Abstract:
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 good efforts to contribute to energy efficiency and a reduction of air pollutants. The perspective used in this quick scan is spatial by emphasizing the influence of spatial settlement patterns in scenario thinking on future transport.
Keywords: multicriteria analysis; transport technology; urbanization pattern; quick scan (search for similar items in EconPapers)
Date: 1995
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://degree.ubvu.vu.nl/repec/vua/wpaper/pdf/19950027.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vua:wpaper:1995-27
Access Statistics for this paper
More papers in Serie Research Memoranda from VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics Contact information at EDIRC.
Bibliographic data for series maintained by R. Dam ().