Technology adoption of electric bicycles: A survey among early adopters

Angelika Wolf and Sebastian Seebauer

Transportation Research Part A: Policy and Practice, 2014, vol. 69, issue C, 196-211

Abstract: Electric bicycles (e-bikes) may reduce energy use, air pollution and noise for private transportation through a modal shift from fossil-fuel powered vehicles to e-bikes on short distance trips. However, designing effective promotion campaigns for the adoption of e-bikes requires detailed knowledge on user characteristics and motivations. In order to explain e-bike use on work, shopping and leisure trips, the present study combines concepts from technology adoption with factors derived from research on mobility behaviour. The study employs structural equation modeling to survey data from 1398 Austrian early adopters who purchased an e-bike between 2009 and 2011.

Keywords: Electric bicycles; Technology adoption; Structural equation modeling; Explanatory model; Mediator; Moderator (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (59)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0965856414001876
Full text for ScienceDirect subscribers only

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:eee:transa:v:69:y:2014:i:c:p:196-211

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.tra.2014.08.007

Access Statistics for this article

Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose

More articles in Transportation Research Part A: Policy and Practice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().