Technology Assessment: Evaluating Personal Transportation Technologies
Kevin Blommestein,
Tugrul U. Daim (),
Ritu Bidasaria,
Jared Nambwenya and
Matt Nickeson
Additional contact information
Kevin Blommestein: Portland State University
Tugrul U. Daim: Portland State University
Ritu Bidasaria: Portland State University
Jared Nambwenya: Portland State University
Matt Nickeson: Portland State University
Chapter Chapter 4 in Hierarchical Decision Modeling, 2016, pp 61-93 from Springer
Abstract:
Abstract A hierarchical decision model was applied to the problem of consumer choice among single-person transportation technologies. Criteria and sub-criteria were pulled from literature and similar studies to objectively compare the vehicles. Pairwise comparison was used to rank the weights of each criteria and sub-criteria across four different cultural states: the USA, South Africa, India, and Kenya. For the USA the highest ranked criteria were economic and practicality, for South Africa safety and economic, for India safety, and for Kenya practicality. The lowest weight for all countries was for public use regulations. All countries preferred the simple human-powered bicycle to any more advanced technology. This data could be used to inform product development or marketing decisions within each country.
Keywords: Electric Vehicle; Electric Motor; Safety Feature; Charge Time; Purchase Cost (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:innchp:978-3-319-18558-3_4
Ordering information: This item can be ordered from
http://www.springer.com/9783319185583
DOI: 10.1007/978-3-319-18558-3_4
Access Statistics for this chapter
More chapters in Innovation, Technology, and Knowledge Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().