Development of online taxi ridesharing application

• Autorzy: Popova A. , Kunanets N. E. , Rzheuskyi A. V.
• Języki publikacji: EN

Abstrakty

EN

The paper highlights the main principles and modalities for developing a mobile application for sharing the ride via online taxi based on the use of innovative software elements and logistic flow management models. The proposed approach for the development of application is based on the latest marketing course, the use of logistic models and the elimination of analogues.

Słowa kluczowe

EN

route development; taxi ridesharing application; database of orders; messaging; user identification; request processing; customer

• Wydawca: Polish Academy of Sciences, Branch in Lublin
• Czasopismo: ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
• Rocznik: 2018
• Tom: Vol. 7, No 3
• Strony: 39--46
• Opis fizyczny: Bibliogr. 14 poz., rys.

Twórcy

autor

Popova A.

• Lviv Polytechnic National University

autor

Kunanets N. E.

• Lviv Polytechnic National University
• [e-mail]

autor

Rzheuskyi A. V.

• Lviv Polytechnic National University

Bibliografia

• 1. Goldman J., Conservation. 2014. University of Washington How carpooling save the world. Access mode: http://www.conservationmagazine.org/2014/09/how-carpooling-will-save-the-world/
• 2. Andrew M. Amey. 2010. Real-Time Ridesharing: Exploring the Opportunities and Challenges of Designing a Technology-based Rideshare Trial for the MIT Community. Access mode: https://ridesharechoices.scripts.mit.edu/home/wp-content/papers/AMEY_Thesis_Final.pdf
• 3. Amey A., Attanucci J., and Mishalani R. 2011. Real-Time Ridesharing, Opportunities and Challenges in Using Mobile Phone Technology to Improve Rideshare Services. Transportation Research Record, Vol. 2217, 103-110.
• 4. Stach C. Stuttgart. 2011. Saving time, money, and the environment—vHike, a dynamic ridesharing service for mobile devices. IEEE International Conference on Pervasive Computing and Communications Workshops, 352–355.
• 5. Yaoli Wang, Winter S., and Tomko M. 2018. Collaborative activity-based ridesharing. Journal of Transport Geography, Vol. 72, 131-138.
• 6. Zhuo Chen, Xiaoyue Cathy Liu, and Ran Wei. 2018. Agent-based approach to analyzing the effects of dynamic ridesharing in a multimodal network. Computers, Environment and Urban Systems. In press.
• 7. Yasaman Amirkiaee S., Nicholas Evangelopoulos. 2018. Why do people rideshare? An experimental study. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 55, 9-24.
• 8. Cetin T., Deakin E. 2017. Regulation of taxis and the rise of ridesharing. Transport Policy. In press.
• 9. Xuan Di, Rui Ma, Henry X. Liu, and Xuegang (Jeff) Ban. 2018. A link-node reformulation of ridesharing user equilibrium with network design. Transportation Research Part B: Methodological, Vol. 112, 230-255.
• 10. Farhan J., Donna Chen T. 2018. Impact of ridesharing on operational efficiency of shared autonomous electric vehicle fleet. Transportation Research Part C: Emerging Technologies, Vol. 93, 310-321.
• 11. Qian-Ping Gu, Jiajian Leo Liang, and Guochuan Zhang. 2017. Algorithmic analysis for ridesharing of personal vehicles. Theoretical Computer Science. In press.
• 12. Weiwei Jiang, Carlos Ruiz Dominguez, Pei Zhang, Max Shen, and Lin Zhang. 2018. Large-scale nationwide ridesharing system: A case study of Chunyun. International Journal of Transportation Science and Technology, Vol. 7, Iss. 1, 45-59.
• 13. Huayu Xu, Jong-Shi Pang, Fernando Ordóñez, and Maged Dessouky. 2015. Complementarity models for traffic equilibrium with ridesharing. Transportation Research Part B: Methodological, Vol. 81, Part 1, 161-182.
• 14. Rashmi P. Payyanadan, John D. Lee. 2018. Understanding the ridesharing needs of older adults. Travel Behaviour and Society, Vol. 13, 155-164.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).