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Cited by 10Technology Adoption and User BehaviourElectric Vehicles and InfrastructureInnovative Human-Technology Interaction

Influence of Reduced Air Pollution Source Emission Information on User Behavioural Intention Towards E-Scooter Products

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Huang, Fei-Hui·2022·Promet - Traffic&Transportation
DOI 10.7307/ptt.v34i1.3762
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Abstract

In this study, a mobile application-based service providing information on the reduction in the air pollution source emissions due to the replacement of conventional scooters by electric scooters (e-scooters) was proposed to increase user awareness of air quality and purchase intention towards e-scooters. The extended unified theory of acceptance and use of technology was employed and an explanatory variable of environmental awareness (EA) was incorporated for enhancing constructs to investigate the factors that may influence the user acceptance of text-based mobile information on the reduced carbon emissions, in comparison with that of histogram-based mobile information on the reduction in emissions of six air pollution sources. A within-subjects experimental design was employed to evaluate both information contents. The results indicate that the model constructs of habit and EA are useful predictors of the behavioural intention (BI) to use app services. Furthermore, providing different mobile information contents demonstrated no statistically significant difference in the user’s acceptance and intentions. However, providing different mobile information contents on the same information spindle may trigger different constructs and intensities of influence on users’ purchase intentions for e-scooters. Based on these findings, several recommendations for app managers and developers and suggestions for future research have been provided.

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  • Synthetic microbial communities, manufactured by synthetic biology, have been studied for their interaction patterns, which could be used in bioremediation systems such as pesticides and acid drainage.

    “Synthetic microbial communities, manufactured by synthetic biology, have been studied for their interaction patterns, which could be used in bioremediation systems such as pesticides and acid drainage [152].”

    From Harnessing bacterial consortia for effective bioremediation: targeted removal of heavy metals, hydrocarbons, and persistent pollutants (2025) · cites this paper as [152]

    The Discussion addresses e-scooter app information, air quality, and users’ environmental awareness, not microbial communities. Searches for synthetic microbial communities, interaction patterns, pesticides, and acid drainage found no passage in our copy addressing the claim. (LLM, conf=0.78)

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Cited by

Sorted by citations

Authors
Huang, F.-H.
Affiliations
Asia Eastern University of Science and Technology (TW)
Corresponding author
Huang, Fei-Hui
ORCID
Huang, Fei-Hui
Venue
Promet - Traffic&Transportation
Publisher
Faculty of Transport and Traffic Sciences
Published
2022-02-18
Volume
34
Issue
1
Pages
53-67
ISSN
  • 0353-5320 (ISSN-L)
  • 1848-4069
DOI
10.7307/ptt.v34i1.3762
OpenAlex
W4213041875
Cited by
10
References
0
Citations by year
2025: 5 · 2024: 4 · 2022: 1
FWCI
1.81
Type
journal article
Language
en
Open access
Licence
Locations
  • PROMET - Traffic&Transportation (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Hrčak Portal of scientific journals of Croatia (University Computing Centre) (submittedVersion, other-oa)
Funders
Ministry of Science and Technology, Taiwan (MOST108-2221-E161-001)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
electric scooters, environmental awareness, purchase intention, behavioral intention, technology acceptance, mobile application, air quality information, habit, carbon emission reduction, user acceptance

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