User Perception and Preferences in Dynamic Ridesharing Platforms
Article Sidebar
Page Numbers:
478-491
Digital Object Identifier:
10.58578/amjsai.v2i3.7232
Viewed: 364 times
Downloaded: 145 times
LYAS Publisher cordially invites qualified professionals to serve as Editors or Reviewers. Your expertise will make an important contribution to maintaining and strengthening the academic quality of our publications. Interested applicants are kindly requested to complete the application form at the following link: Editors & Reviewers
Please feel free to contact us if you need any further information about the submission process or if you have any additional questions.
Authors:
Ribadu Rukkaiyatu Bashir1, Odekunle Remilekun Mathew2, Momoh Abdulfatai Atte3, Onanaye Adeniyi Samson4 
Copyright :
Authors retain copyright and grant the journal right of first publication.
Main Article Content
Abstract
This study investigates user perceptions and preferences regarding dynamic ridesharing services, with the objective of integrating behavioral insights into the design of more user-centric mobility platforms. A questionnaire-based survey was conducted to collect both quantitative and qualitative data from potential ridesharing users, focusing on expectations, preferred features, willingness to tolerate trade-offs such as longer travel times or detours, and key deterrents to adoption. Results indicate a strong willingness to share rides for cost savings and environmental benefits, while highlighting safety, affordability, and travel efficiency as the most valued attributes. Conversely, fear of harassment and concerns about excessive detours or wait times were identified as the main barriers to adoption. The study concludes that effective ridesharing platforms must prioritize user safety, ensure efficient routing, and maintain competitive pricing to enhance user experience and encourage widespread acceptance of dynamic ridesharing solutions.
Citation Metrics:
Downloads
Article Details
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
References
2. Santi, P., Resta, G., Szell, M., et al. (2014). Quantifying the benefits of vehicle pooling with shareability networks. Nature Communications, 5, 1-8.
3. Cai, H., Wang, X., Adriaens, P., et al. (2019). Environmental benefits of taxi ride sharing in Beijing. Energy Policy, 125, 312-321.
4. Buchhold, V., Sanders, P., Wagner, D., et al. (2022). Fast, Exact and Scalable Dynamic Ridesharing. 19th International Symposium on Experimental Algorithms, 1-18.
5. Young, M., Farber, S. (2017). The who, why, and when of Uber and other ride-hailing trips: An examination of a large sample household travel survey. Transportation Research Part A: Policy and Practice, 116, 280-292.
6. An, S., Nam, D., Jayakrishnan, R., et al. (2021). A Study of the Factors Affecting Multimodal Ridesharing with Choice-Based Conjoint Analysis. Transportation Research Part C: Emerging Technologies, 125, 103004.
7. Zhang, Y., Li, B., Qian, S. (2023). Ridesharing and Digital Resilience for Urban Anomalies: Evidence from the New York City Taxi Market. Management Science, 69, 2542-2561.
8. Lo, J., Morseman, S. (2017). The Perfect uberPOOL: A Case Study on Trade‐Offs. International Conference on Operations Research and Enterprise Systems, 17-26.
9. Shoman, M., Moreno, A. T. (2021). Exploring Preferences for Transportation Modes in the City of Munich after the Recent Incorporation of Ride-Hailing Companies. Sustainability, 13, 13327.
10. Hamdan, F. F., Rahim, N. N. A., Othman, A. K., et al. (2022). The Determinants of Service Quality and Customer Satisfaction in Malaysian E-Hailing Services. International Journal of Academic Research in Economics and Management Sciences, 11, 550-562.
11. Zaigham, M., Dasan, J., Chin, C. P.-Y. (2021). A Systematic Literature Review On Ridesharing: Determinants, Theoretical Grounds And Methodologies. International Journal of Economics and Business Administration, 10, 23-38.
12. Wang, Y., Gu, J., Wang, S., et al. (2019). Understanding consumers’ willingness to use ride-sharing services: The roles of perceived value and perceived risk. Sustainability, 11, 3737.
13. Wang, Y., Wang, S., Wang, J., et al. (2019). An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model. Transportation Research Part C: Emerging Technologies, 90, 148-158.
14. Dey, T., Salam, M. A., Saha, T. (2020). Evaluation and Analysis of User Satisfaction of Ride-Sharing Service: An Assurance and Empathy in Bangladesh Perspective. Journal of Business and Management Studies, 2, 22-28.
15. Ricardianto, P., Ikhsan, R. B., Suryobuwono, A. A., et al. (2022). What Makes Consumers Attitudinal Loyalty On Ride-Hailing Services? An Investigation Indonesian Consumers' Perceived Safety In Using Ride-hailing Apps. Journal of Eastern European and Central Asian Research, 11, 221-236.
16. Verma, R., Pargal, S., Das, D., et al. (2022). Impact of Driving Behavior on Commuter’s Comfort During Cab Rides: Towards a New Perspective of Driver Rating. ACM Transactions on Intelligent Systems and Technology, 13, 1-22.
17. König, A., Grippenkoven, J. (2020). Travellers’ willingness to share rides in autonomous mobility on demand systems depending on travel distance and detour. Transportation Research Part C: Emerging Technologies, 119, 102758.
18. Si, H., Shi, J., Hua, W., et al. (2023). What influences people to choose ridesharing? An overview of the literature. International Journal of Sustainable Transportation, 17, 1195-1216.
19. Loa, P., Habib, K. N. (2022). Examining the influence of attitudinal factors on the use of ride-hailing services in Toronto. Transportation Research Part F: Traffic Psychology and Behaviour, 80, 250-264.
20. Shaheen, S., Cohen, A., Bayen, A. M. (2017). The Benefits of Carpooling. Institute of Transportation Studies, University of California, Berkeley.
21. Lu, K., Xue-fen, W. (2020). Analysis of Perceived Value and Travelers’ Behavioral Intention to Adopt Ride-Hailing Services: Case of Nanjing, China. Journal of Advanced Transportation, 2020, 1-13.
22. Conway, M., Salon, D., King, D. A. (2018). Trends in Taxi Use and the Advent of Ridehailing, 1995–2017: Evidence from the US National Household Travel Survey. Transportation Research Record, 2672, 27-36.
23. Shaheen, S. (2018). Shared Mobility: The Potential of Ridehailing and Pooling.
24. Sundt, A., Luo, Q., Vincent, J., et al. (2022). Heuristics for Customer-focused Ride-pooling Assignment. Transportation Research Part C: Emerging Technologies, 129, 103233.
25. Yan, C., Zhu, H., Korolko, N., et al. (2019). Dynamic pricing and matching in ride‐hailing platforms. Production and Operations Management, 28, 2056-2070.
26. Rathore, P., Zonoozi, A., Geramifard, O., et al. (2020). Understanding the Dynamics of Drivers' Locations for Passengers Pickup Performance: A Case Study. 2020 IEEE International Conference on Data Mining, 1269-1274.