Open Access Open Access  Restricted Access Subscription or Fee Access


Venkatesh Ganapathy


The advent of sharing economy has led to the immense popularity of urban mobility services among riders across the world. Digital mapping of demand and supply of ride sourcing services has resulted in a win-win situation for the ride sourcing service supply chain that has fewer tiers compared to other service supply chains. Driver-partners are assured of regularity in income and a higher capacity utilization of their capital asset (the vehicle). Riders benefit from cheaper prices and the convenience of organizing a ride right from their doorstep. The transportation network companies like Ola and Uber earn a commission on every ride that provides a steady stream of revenues. Sustaining in the long run will need these companies to understand the satisfaction of riders and also the problems that they face so that service deficiencies can be improved upon. Understanding customer feedback will also enable state governments to relate to the challenges in urban mobility services. A survey was carried among the users of Ola cab services to understand their preferences and opinions about the cab services. The results of the study demonstrate that while gender-based differences do exist in matters of customer perceptions about the cab services, there is tremendous scope for improving cab services in the future.


Ride sourcing, service supply chain, app-based services, Uber, Ola, sharing economy, ride sharing, taxi aggregators.

Full Text:

Full Text


Dosen, I., & Rosolen, H. (2016). Uber and Ridesharing.

DuPuis, N., Martin, C., & Rainwater, B. (2015). City of the Future: Technology and Mobility. Center for City Solutions and Applied Research, National League of Cities, 31.

Farin, N. J., Rimon, M. N. A. A., Momen, S., Uddin, M. S., & Mansoor, N. (2016, December). A framework for dynamic vehicle pooling and ride-sharing system. In Computational Intelligence (IWCI), International Workshop on (pp. 204-208). IEEE.

Fishman, E., & Davies, L. (2016, November). Road User Pricing: Driverless cars, congestion and policy responses. In Australasian Transport Research Forum (ATRF), 38th, 2016, Melbourne, Victoria, Australia.

Földes, D., & Csiszár, C. (2016, May). Conception of future integrated smart mobility. In Smart Cities Symposium Prague (SCSP), 2016 (pp. 1-6). IEEE.

Franckx, L. (2016). Future trends in mobility: the rise of the sharing economy and automated transport-Annex A.

Huang, K., Liu, F., Hu, Y., & Liu, Z. (2016, July). An Analysis of the Taxi-Sharing Organizing and Pricing. In International Conference on Green Intelligent Transportation System and Safety (pp. 263-276). Springer, Singapore.

Moran, M. (2016). Transportation Network Companies.

Shay, N. M. (2016). Investigating Real-Time Employer-Based Ridesharing Preferences Based on Stated Preference Survey Data (Doctoral dissertation, The Ohio State University).

Zha, L., Yin, Y., & Yang, H. (2016). Economic analysis of ride-sourcing markets. Transportation Research Part C: Emerging Technologies, 71, 249-266.


  • There are currently no refbacks.

Print Version ISSN 0975-3931

Online Version ISSN 2278-1277