Contactless ICT transaction model of the urban transport service
Abstract
The paper examines the problem of the productive functioning of an urban passenger transport system, which has a modular structure for the generation and exploitation of the urban transport services. The research objects consist of conventional, scalable and innovative contactless transaction models of an urban transport services in the case study of the Transport Organization (TO) – Joint Stock Company for Passenger Railway Transport “Serbia Trains” (Srbija Voz a.d.). The urban transport service is defined by invoking users, user expectations and requirements, the input data provided by users to a transport provider, the mechanisms for access and delivery of the service, the resources and roles responsible for delivery, security requirements and other parameters. The communication platform for modeling urban transport services in different transaction contexts is defined by the utilitarian framework with 6W dimensions with situational mapping of the 6 Communication Dynamics Factors (6CDF). The technology-process restructuring was achieved with the scalable In-formation Technology (IT) model by implementing the elements of electronic business in the key activities of the supply of the train tickets. Using the results of the performed research, in the paper has been developed an innovative, non-contact ICT model of urban transport services on the platform for integrating the Internet service into the process-technology and behavioral-context structures.
First published online 4 May 2020
Keyword : communication, customer, information system, interaction, transport organization, passenger transportation, public service, railway transport, e-ticket, e-process
How to Cite
Pavlović, Z., Banjanin, M., Vukmirović, J., & Vukmirović, D. (2020). Contactless ICT transaction model of the urban transport service. Transport, 35(5), 500-510. https://doi.org/10.3846/transport.2020.12529
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Stjepanovic, А.; Banjanin, M. 2014. Distributed multimedia information system for traffic monitoring and managing, Lecture Notes in Computer Science 8669: 475–483. https://doi.org/10.1007/978-3-319-10840-7_57
Stoilova, S. 2018. Study of railway passenger transport in the European Union, Tehnički vjesnik 25(2): 587–595. https://doi.org/10.17559/TV-20160926152630
Šendelj, R.; Ognjanović, I. 2018. Multi-criteria decision making for optimal configuration of business process model families, Information Technology and Control 47(3): 532–563. https://doi.org/10.5755/j01.itc.47.3.18652
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Wang, W.; Lin, Y.; Zhao, Y.; Zhang, G.; Zhang, J.; Han, J.; Chen, H.; Hou, B.; Ji, Y.; Zong, L. 2016. First demonstration of virtual transport network services with multi-layer protection schemes over flexi-grid optical networks, IEEE Communications Letters 20(2): 260–263. https://doi.org/10.1109/LCOMM.2015.2509066
Wasiak, M.; Jacyna, M.; Lewczuk, K.; Szczepański, E. 2017. The method for evaluation of efficiency of the concept of centrally managed distribution in cities, Transport 32(4): 348–357. https://doi.org/10.3846/16484142.2017.1345005
Wheat, P.; Wardman, M. 2017. Effects of timetable related service quality on rail demand, Transportation Research Part A: Policy and Practice 95: 96–108. https://doi.org/10.1016/j.tra.2016.11.009
Xu, C.; Zhao, J.; Muntean, G.-M. 2016. Congestion control design for multipath transport protocols: a survey, IEEE Communications Surveys & Tutorials 18(4): 2948–2969. https://doi.org/10.1109/COMST.2016.2558818
Zeng, Q.; Chen, W.; Huang, L. 2008. E-business transformation: an analysis framework based on critical organizational dimensions, Tsinghua Science & Technology 13(3): 408–413. https://doi.org/10.1016/S1007-0214(08)70065-8
Ahmadinia, M.; Movaghar, A.; Rahmani, A. M. 2018. Semantic data gathering of physical entities in semantic sensor networks using software agents, Information Technology and Control 47(2): 167–183. https://doi.org/10.5755/j01.itc.47.2.16073
Ai, B.; Guan, K.; Rupp, M.; Kurner, T.; Cheng, X.; Yin, X.-F.; Wang, Q.; Ma, G.-Y.; Li, Y.; Xiong, L.; Ding, J.-W. 2015. Future railway services-oriented mobile communications network, IEEE Communications Magazine 53(10): 78–85. https://doi.org/10.1109/MCOM.2015.7295467
Ansari, S.; Yoon, S.; Albert, L. A. 2017. An approximate hypercube model for public service systems with co-located servers and multiple response, Transportation Research Part E: Logistics and Transportation Review 103: 143–157. https://doi.org/10.1016/j.tre.2017.04.013
Banjanin, M. 2011. Kompleksnost podataka i različiti prostori u ontološkim modelima, u Spomenica akademika Veselina Perića. Odjeljenje prirodnomatematičkih i tehničkih nauka, Akademija nauka i umjetnosti Republike Srpske, 15: 447–464. (in Serbian).
Banjanin, M. 2008a. Komunikacija sa klijentima. Beograd, Srbija. 242 s. (in Serbian).
Banjanin, M. 2008b. Naučnoistraživačka metodologija. Beograd, Srbija. 456 s. (in Serbian).
Banjanin, M.; Drakulić, G. 2009. Simetrične kombinacije mul-timodalnih interakcija u inteligentnoj okolini, u Tehnologija, informatika, obrazovanje za društvo učenja i znanja: 5. međunarodni simpozijum, 19–20. juna 2009. godine, Čačak, Srbija, 2: 125–136. (in Serbian).
Banjanin, M.; Gojković, P. 2008. Analitičke procedure u inženjerskim disciplinama. Doboj, Srbija. 420 s. (in Serbian).
Baranda, J.; Mangues-Bafalluy, J.; Pascual, I.; Nunez-Martine, J.; De La Cruz, J. L.; Casellas, R.; Vilalta, R.; Salvat, J. X.; Turyagyenda, C. 2018. Orchestration of end-to-end network services in the 5G-crosshaul multi-domain multi-technology transport network, IEEE Communications Magazine 56(7): 184–191. https://doi.org/10.1109/MCOM.2018.1701329
Bohm, A.; Murtz, B.; Sommer, G.; Wermuth, M. 2005. Location-based ticketing in public transport, in Proceedings. 2005 IEEE Intelligent Transportation System, 16 September 2005, Vienna, Austria, 837–840. https://doi.org/10.1109/ITSC.2005.1520158
Chabot, T.; Bouchard, F.; Legault-Michaud, A.; Renaud, J.; Coelho, L. C. 2018. Service level, cost and environmental optimization of collaborative transportation, Transportation Research Part E: Logistics and Transportation Review 110: 1–14. https://doi.org/10.1016/j.tre.2017.11.008
Choi, B.; Raghu, T. S.; Vinze, A.; Dooley, K. J. 2009. Process model for e-business standards development: a case of ebXML standards, IEEE Transactions on Engineering Management 56(3): 448–467. https://doi.org/10.1109/TEM.2009.2013828
Farkas, K.; Feher, G.; Benczur, A.; Sidlo, C. 2015. Crowdsending based public transport information service in smart cities, IEEE Communications Magazine 53(8): 158–165. https://doi.org/10.1109/MCOM.2015.7180523
Ghorabaee, M. K.; Amiri, M.; Zavadskas, E. K.; Antuchevičienė, J. 2017. Assessment of third-party logistics providers using a CRITIC–WASPAS approach with interval type-2 fuzzy set,Transport 32(1): 66–78. https://doi.org/10.3846/16484142.2017.1282381
Gil-Saura, I.; Ospina-Pinzón, S.; Ruiz-Molina, M.; Berenguer-Contri, G. 2017. Methodologies for evaluating service quality: evidence from freight services, International Journal of Transport Economics – Rivista internazionale di economia dei trasporti 44(1): 99–118. https://doi.org/10.19272/201706701005
Gregorio, D. D.; Kassicieh, S. K.; De Gouvea Neto, R. 2005. Drivers of e-business activity in developed and emerging markets, IEEE Transactions on Engineering Management 52(2): 155–166. https://doi.org/10.1109/TEM.2005.844464
Jin, J. G.; Tang, L. C.; Sun, L.; Lee, D. H. 2014. Enhancing metro network resilience via localized integration with bus services, Transportation Research Part E: Logistics and Transportation Review 63: 17–30. https://doi.org/10.1016/j.tre.2014.01.002
Karthick, S.; Velmurugan, A. 2012. Android suburban railway ticketing with GPS as ticket checker, in 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), 23–25 August 2012, Ramanathapuram, India, 63–66. https://doi.org/10.1109/ICACCCT.2012.6320742
Kung, L.-C.; Zhong, G.-Y. 2017. The optimal pricing strategy for two-sided platform delivery in the sharing economy, Transportation Research Part E: Logistics and Transportation Review 101: 1–12. https://doi.org/10.1016/j.tre.2017.02.003
Kurose, J. F.; Ross, K. W. 2014. Umrežavanje računara: od vrha ka dnu. Beograd: CET. 892 s. (in Serbian).
Milenković, M.; Švadlenka, L.; Melichar, V.; Bojović, N.; Avramović, Z. 2018. SARIMA modelling approach for railway passenger flow forecasting, Transport 33(5): 1113–1120. https://doi.org/10.3846/16484142.2016.1139623
Pavlović, Z.; Vukmirović, A. 2016. Posebna ponuda železnice za izdavanje voznih isprava rezervisanih i kupljenih putem interneta, u YUINFO 2016: Zbornik radova, 28. Februar – 02. Mart 2016. godine, Kopaonik, Srbija, 226–231. (in Serbian).
Pavlović, Z.; Vuksanović, J.; Gavrić, Ž. 2016. Definisanje multimedijalne strategije za povećanje broja korisnika usluga železnice, FBIM Transactions 4(2): 111–119. https://doi.org/10.12709/fbim.04.04.02.11 (in Serbian).
Sankaranarayanan, H. B.; Rukmangadha, P. V.; Grosche, T. 2017. A combinatorial approach for calculating rail-fly connectivity index in India based on fuzzy logic, in 2016 Future Technologies Conference (FTC), 6–7 December 2017, San Francisco, CA, US, 150–155. https://doi.org/10.1109/FTC.2016.7821604
Stjepanovic, А.; Banjanin, M. 2014. Distributed multimedia information system for traffic monitoring and managing, Lecture Notes in Computer Science 8669: 475–483. https://doi.org/10.1007/978-3-319-10840-7_57
Stoilova, S. 2018. Study of railway passenger transport in the European Union, Tehnički vjesnik 25(2): 587–595. https://doi.org/10.17559/TV-20160926152630
Šendelj, R.; Ognjanović, I. 2018. Multi-criteria decision making for optimal configuration of business process model families, Information Technology and Control 47(3): 532–563. https://doi.org/10.5755/j01.itc.47.3.18652
Šumak, B.; Heričko, M; Budimac, Z.; Pušnik, M. 2017. Investigation of moderator factors in e-business adoption: A quantitative meta-analysis of moderating effects on the drivers of intention and behavior, Computer Science and Information Systems 14(1): 75–102. https://doi.org/10.2298/CSIS160902033S
Van de Voorde, E.; Meersman, H. 2017. Transport research for a changing and sustainable future, International Journal of Transport Economics – Rivista internazionale di economia dei trasporti 44(1): 11–23. https://doi.org/10.19272/201706701001
Wang, W.; Lin, Y.; Zhao, Y.; Zhang, G.; Zhang, J.; Han, J.; Chen, H.; Hou, B.; Ji, Y.; Zong, L. 2016. First demonstration of virtual transport network services with multi-layer protection schemes over flexi-grid optical networks, IEEE Communications Letters 20(2): 260–263. https://doi.org/10.1109/LCOMM.2015.2509066
Wasiak, M.; Jacyna, M.; Lewczuk, K.; Szczepański, E. 2017. The method for evaluation of efficiency of the concept of centrally managed distribution in cities, Transport 32(4): 348–357. https://doi.org/10.3846/16484142.2017.1345005
Wheat, P.; Wardman, M. 2017. Effects of timetable related service quality on rail demand, Transportation Research Part A: Policy and Practice 95: 96–108. https://doi.org/10.1016/j.tra.2016.11.009
Xu, C.; Zhao, J.; Muntean, G.-M. 2016. Congestion control design for multipath transport protocols: a survey, IEEE Communications Surveys & Tutorials 18(4): 2948–2969. https://doi.org/10.1109/COMST.2016.2558818
Zeng, Q.; Chen, W.; Huang, L. 2008. E-business transformation: an analysis framework based on critical organizational dimensions, Tsinghua Science & Technology 13(3): 408–413. https://doi.org/10.1016/S1007-0214(08)70065-8