Analysis of trip preferences among E-bike users in commuting : evidence from an online choice-based conjoint experiment

The present study reports on the preferences among e-bike users for commuting trips. An online survey with sixteen choice-based conjoint questions was conducted in March 2020 amongst 144 e-cyclists and non e-cyclists in Flanders (Belgium). Their choices were analysed using a no-choice binomial logit model. The impact of the following factors showed to be most important: weather conditions, trip time, type of e-bike, and financial support by the employer. The effect on e-bike users of factors such as cycling infrastructure, secure parking, and shower facilities at the workplace seems more limit... Mehr ...

Verfasser: Casier, Corneel
Witlox, Frank
Dokumenttyp: journalarticle
Erscheinungsdatum: 2022
Schlagwörter: Technology and Engineering / commuting / conjoint analysis / e-bikes / Flanders (Belgium) / logit model / ELECTRIC BIKES / TRAVEL BEHAVIOR / BICYCLE USE / EXPERIENCES / TRANSPORT / WORK / MODE / MOTIVES / IMPACTS / DESIGNS
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27369089
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://biblio.ugent.be/publication/8740013

The present study reports on the preferences among e-bike users for commuting trips. An online survey with sixteen choice-based conjoint questions was conducted in March 2020 amongst 144 e-cyclists and non e-cyclists in Flanders (Belgium). Their choices were analysed using a no-choice binomial logit model. The impact of the following factors showed to be most important: weather conditions, trip time, type of e-bike, and financial support by the employer. The effect on e-bike users of factors such as cycling infrastructure, secure parking, and shower facilities at the workplace seems more limited. Based on the difference between male and female respondents, trip time and type of e-bike differed significantly. The only significant difference between e-bike owners and non e-bike owners was the type of e-bike. Trip time, weather conditions and financial intervention differed significantly between the young and old age group. Our findings suggest that policymakers should focus on investments in e-bikes, such as cycling infrastructure, mileage allowance and facilities at the workplace to make this a sustainable and socially inclusive mode of transport.