Proceedings of the 2022 2nd International Conference on Financial Management and Economic Transition (FMET 2022)

Comprehensive Analysis of Ride-Hailing Evidence from Uber and Lyft

Authors
Jingyu Sun1, *
1University of Illinois at Chicago, Chicago, USA
*Corresponding author. Email: jsun74@uic.edu
Corresponding Author
Jingyu Sun
Available Online 14 December 2022.
DOI
10.2991/978-94-6463-054-1_41How to use a DOI?
Keywords
Uber; Lyft; Business structure; Financial analysis
Abstract

With the rise of the e-service industry, online car-hailing has become very popular. This study investigates and comprehensively analyzes why Lyft is not on par with Uber in the US. Through the analysis of the past three years, that is, since the epidemic, compared with Uber, the shortcomings exposed by Lyft are not only the inevitable loopholes in the policy security currently existing in the car-hailing industry, but also in emergencies. The judgment is not decisive enough, and there is a problem with the allocation of personnel by the management. At the same time, some relevant suggestions are given to Lyft in the analysis sections and conclusion. This study provides the implication for investors and implied same industry.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Financial Management and Economic Transition (FMET 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
14 December 2022
ISBN
978-94-6463-054-1
ISSN
2352-5428
DOI
10.2991/978-94-6463-054-1_41How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Jingyu Sun
PY  - 2022
DA  - 2022/12/14
TI  - Comprehensive Analysis of Ride-Hailing Evidence from Uber and Lyft
BT  - Proceedings of the 2022 2nd International Conference on Financial Management and Economic Transition (FMET 2022)
PB  - Atlantis Press
SP  - 370
EP  - 380
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-054-1_41
DO  - 10.2991/978-94-6463-054-1_41
ID  - Sun2022
ER  -