Publication Cover
Transportation Letters
The International Journal of Transportation Research
Volume 14, 2022 - Issue 6
159
Views
2
CrossRef citations to date
0
Altmetric
Research

Measuring sentiments and attitude of people toward self-drive rental car services in Bangalore City, India

, &
Pages 622-628 | Published online: 14 Apr 2021
 

ABSTRACT

This paper explores the emotions of self-drive rental car users in India on social-media platform using sentiment analysis and estimates the relationship between socio-demographic factors and factors influencing the decision of renting a car. An ordered logit model is used to determine the factors which are affecting individuals’ demographic characteristics to rent from a self-drive rental car service. A total of six models are computed for each of the influencing factors. The results suggest that there is a positive image of self-drive rental car service as perceived from social media platform and in the 18-25 years age group. Private employees are significantly affected by quality of car and ease to hire facility offered by this service. It is also estimated that time flexibility is the most influencing factor considered while renting a car. The outcomes of this study may aid these service providers in strategic planning and policy framework.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 273.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.