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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/45137
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dc.contributor.authorPopova, A.
dc.contributor.authorKunanets, N.
dc.contributor.authorRzheuskyi, A.
dc.date.accessioned2019-06-18T12:03:50Z-
dc.date.available2019-06-18T12:03:50Z-
dc.date.created2018-06-18
dc.date.issued2018-06-18
dc.identifier.citationPopova A. Development of online taxi ridesharing application / A. Popova, N. Kunanets, A. Rzheuskyi // Econtechmod. — Lublin, 2018. — Vol 7. — No 3. — P. 39–46.
dc.identifier.issn2084-5715
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/45137-
dc.description.abstractThe 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.
dc.format.extent39-46
dc.language.isoen
dc.relation.ispartofEcontechmod, 3 (7), 2018
dc.relation.urihttp://www
dc.relation.urihttps://ridesharechoices
dc.subjectroute development
dc.subjecttaxi ridesharing application
dc.subjectdatabase of orders
dc.subjectmessaging
dc.subjectuser identification
dc.subjectrequest processing
dc.subjectcustomer
dc.titleDevelopment of online taxi ridesharing application
dc.typeArticle
dc.rights.holder© Copyright by Lviv Polytechnic National University 2018
dc.rights.holder© Copyright by Polish Academy of Sciences 2018
dc.rights.holder© Copyright by University of Engineering and Economics in Rzeszów 2018
dc.rights.holder© Copyright by University of Life Sciences in Lublin 2018
dc.contributor.affiliationLviv Polytechnic National University
dc.format.pages8
dc.identifier.citationenPopova A. Development of online taxi ridesharing application / A. Popova, N. Kunanets, A. Rzheuskyi // Econtechmod. — Lublin, 2018. — Vol 7. — No 3. — P. 39–46.
dc.relation.references1. 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/.
dc.relation.references2. 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.
dc.relation.references3. 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.
dc.relation.references4. 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.
dc.relation.references5. Yaoli Wang, Winter S., and Tomko M. 2018. Collaborative activity-based ridesharing. Journal of Transport Geography, Vol. 72, 131–138.
dc.relation.references6. 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.
dc.relation.references7. 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.
dc.relation.references8. Cetin T., Deakin E. 2017. Regulation of taxis and the rise of ridesharing. Transport Policy. In press.
dc.relation.references9. 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.
dc.relation.references10. 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.
dc.relation.references11. Qian-Ping Gu, Jiajian Leo Liang, and Guochuan Zhang. 2017. Algorithmic analysis for ridesharing of personal vehicles. Theoretical Computer Science. In press.
dc.relation.references12.Weiwei Jiang, Carlos Ruiz Dominguez, Pei Zhang, Max Shen, and Lin Zhang. 2018. Largescale nationwide ridesharing system: A case study of Chunyun. International Journal of Transportation Science and Technology, Vol. 7, Iss. 1, 45–59.
dc.relation.references13. 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.
dc.relation.references14. Rashmi P. Payyanadan, John D. Lee. 2018. Understanding the ridesharing needs of older adults. Travel Behaviour and Society, Vol. 13,155–164.
dc.relation.referencesen1. 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/.
dc.relation.referencesen2. 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.
dc.relation.referencesen3. 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.
dc.relation.referencesen4. 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.
dc.relation.referencesen5. Yaoli Wang, Winter S., and Tomko M. 2018. Collaborative activity-based ridesharing. Journal of Transport Geography, Vol. 72, 131–138.
dc.relation.referencesen6. 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.
dc.relation.referencesen7. 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.
dc.relation.referencesen8. Cetin T., Deakin E. 2017. Regulation of taxis and the rise of ridesharing. Transport Policy. In press.
dc.relation.referencesen9. 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.
dc.relation.referencesen10. 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.
dc.relation.referencesen11. Qian-Ping Gu, Jiajian Leo Liang, and Guochuan Zhang. 2017. Algorithmic analysis for ridesharing of personal vehicles. Theoretical Computer Science. In press.
dc.relation.referencesen12.Weiwei Jiang, Carlos Ruiz Dominguez, Pei Zhang, Max Shen, and Lin Zhang. 2018. Largescale nationwide ridesharing system: A case study of Chunyun. International Journal of Transportation Science and Technology, Vol. 7, Iss. 1, 45–59.
dc.relation.referencesen13. 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.
dc.relation.referencesen14. Rashmi P. Payyanadan, John D. Lee. 2018. Understanding the ridesharing needs of older adults. Travel Behaviour and Society, Vol. 13,155–164.
dc.citation.journalTitleEcontechmod
dc.citation.volume7
dc.citation.issue3
dc.citation.spage39
dc.citation.epage46
dc.coverage.placenameLublin
Appears in Collections:Econtechmod. – 2018. – Vol. 7, No. 3

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