Multiagent-based Modeling Transport Behavior of Passengers Through Institutional Theory

Introduction. The study of passenger’s behavior is crucial to improve theory of urban public transport organization. We compared the different approaches for explaining the motivations choosing of vehicles type and movement routes by passengers from the perspective of institutional theory. We simulated the passenger behavior by agent-based models. Theoretical analysis. Tr ansport behavior as a concept is fundamentally different from the commonly used concept of “transport mobility”, because ‘transport behavior’ is an integral characteristic of passengers’ motivation for using urban public transport. The analysis with institutional approach shown that the choice of transport mode and route of move made by not only minimizing the cost of the trip, but also there are many other factors that must be considered when describing public urban transport system. Empirical analysis. We used the agent-based modeling. We described four types of agents (passenger agent, vehicle agent, transport hub agent, transport network agent) in urban transport system. We developed the state transition graph for modeling the life cycle of the individual agent. Results. We made the concept of a multi-agent model of passengers’ behavior, we described four main types of agents, and presented their interactions and redundancy. The simulation results may be applying for compare different strategies choice of optimal routes for individual passengers, as well as to search for rational transportation routes for urban transport.


1. Logistika: obschestvennyi passazhirskii transport [Logistics: public passenger transport. By total. ed. L. B. Mirotin]. Moscow, 2003. 224 p. (in Russian).

2. Passazhirskie avtomobil'nye perevozki [Passenger road transport. By total. ed. L. B. Mirotin]. Moscow, 2006. 448 p. (in Russian).

3. Mirotin L., Ignatenko A. Marunich V. Logisticheskiy vzgliad na passazhirskie perevozki [Logistic look at passenger transportation]. Logistika [Logistics], 1998, no. 4, pp. 31–33 (in Russian).

4. Vuchic V. R. Urban transit systems and technology. Hoboken, NJ, 2007. 614 p.

5. Didier van de Velde [et al.]. Contracting in urban public transport. Amsterdam, 2008. 123 p.

6. Beck A. E. Understanding Urban Sustainability and Quality of Life: A System Dynamics Approach. Bachelor of Science University of Illinois, Urbana-Champaign, 2006, pp. 8–10.

7. Lerner J. Urban Acupuncture: Celebrating Pinpricks of Change that Enrich City Life.Washington, DC, 2014. 160 p.

8. Jonkers E., Gorris T. Intelligent Transport Systems for Urban Areas. Available at: default/fi les/Results%20and%20 Publications/civ_polnot6_its_web.pdf (accessed 5 December 2016).

9. Serna M., Uribe K. Collaborative autonomous systems in models of urban logistics. Dyna, 2012,vol. 79, no. 172, pp. 171–179.

10. Lagorio A., Pinto R., Golini R. Research in urban logistics: a systematic literature review. Inter. J. Phys. Distrib. Logist. Manag., 2016, vol. 46, no. 10, pp. 908–931.

11. Muleev E. Yu. «Transportnoe povedenie», «podvizhnost'» i «mobil'nost'»: k voprosu o kontseptualizatsii terminov [«Vehicle behavior», «mobility» and «mobility»: the question of the conceptualization of terms]. Sotsiologicheskiy zhurnal [Sociological magazine], 2014, vol. 21, no. 3, pp. 8–28 (in Russian).

12. Herbert A. Simon. Rationality as Process and as Product of Thought. Richard T. Ely Lecture. American Economic Review, May 1978, vol. 68, no. 2, pp. 1–16 (Russ. ed.: Saimon G. A. Ratsional'nost' kak protsess i produkt myshleniya.Thesis, 1993, iss. 3, pp. 16–38).

13. Vol'chik V. V. Institutsional'naya i evoliutsionnaya ekonomika [Institutional and evolutionary economics]. Rostov on Don, 2011. 228 p. (in Russian).

14. Nureev R. M. Ocherki po istorii institutsionalizma [Essays on the history of institutionalism]. Rostov on Don, 2010. 415 p. (in Russian).

15. Karpov Yu. G. Imitatsionnoe modelirovanie sistem. Vvedenie v modelirovanie s AnyLogic 5 [Simulation system. Introduction to modeling with AnyLogic 5]. St. Petersburg, 2009. 390 p. (in Russian).

16. Ruchkin K. A., Danilov A. V. Razrabotka mnogoagentnoi sistemy dlia prognozirovaniya povedeniya dinamicheskoi sistemy v rezhime real'nogo vremeni [The development of multi-agent systems to predict the behavior of dynamic systems in real time]. Shtuchnyi іntellekt, 2011, no. 4, pp. 449–460 (in Russian).

17. Kravchenko Yu. A., Gladkov L. A., Zaruba D. V. Perspektivy ispol'zovaniya mnogoagentnogo modelirovaniya pri sozdanii intellektual'nykh transportnykh sistem [Prospects for the use of multi-agent simulation to create intelligent transport systems]. Vestnik RGUPS, 2013, no. 4, pp. 68–73 (in Russian).

18. Padgham L. [ets.]. Agent Based Modelling of Urban Systems: First International Workshop, ABMUS 2016, Held in Conjunction with AAMAS, Singapore, Singapore, May 10, 2016, Revised, Selected, and Invited Papers. 2016. 224 р.

19. Duin J. H. R. [ets.]. Towards an Agent-Based Modelling Approach for the Evaluation of Dynamic Usage of Urban Distribution Centers. Procedia-Social and Behavioral Sciences, 2012, no. 39, pp. 333–348.

Full Text (PDF): 
p. 197
Short Text (PDF):