Safe Rides, Fair Prices: A Comprehensive Analysis of India’s Ride-Hailing Sector
The taxi aggregator industry in India, driven by companies such as Ola and Uber, has massively disrupted the state of urban commute via affordable and tech-enabled transport. As competition escalates, operators are positioning on price, user experience, and additional safety features. This paper studies different pricing policies and their impacts on customer behavior and the market. The roadmap includes a focus on things like fare transparency, driver quality, response times, and app performance, as well as safety features designed with the users in mind. The paper also looks at gender-sensitive transportation options, including women-run cabs for women passengers that not only increase safety but also include women in the economic process. One of the key contributions of this work is the conceptualization, implementation, and deployment of CabEase, a mobile app that provides real-time fare comparisons, integrated SOS alerts, ride tracking, and a gender-aware ride-matching process. The app uses location-based services and usability to increase the trust and decision-making process of commuters. By the survey data, experimental comparisons, and feature validation, the research sheds light on customer satisfaction and operational improvements in the Indian taxi aggregator ecosystem. The results contribute to a better understanding of the design of shared, secure, and fair ride booking services in response to changing urban dynamics.
Institutions
- Shri Ramswaroop Memorial University (IN)
Publication Details
- Journal
- International Journal of Scientific Research in Computer Sciences and Engineering
- Published
- 2025-06-30
- DOI
- https://doi.org/10.26438/ijsrcse.v13i3.630
- Primary Topic
- Education, Psychology, and Social Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00