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Sociodynamic Discrete Choice on Networks in Space: Impacts of Agent Heterogeneity on Emergent Outcomes

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  • Elenna R Dugundji

    (AMIDSt—Amsterdam Institute for Metropolitan and International Development Studies, Faculty of Social and Behavioral Sciences, Universiteit van Amsterdam, Nieuwe Prinsengracht 130, 1018 VZ Amsterdam, The Netherlands)

  • László Gulyás

    (AITIA Inc. —Artificial Intelligence, Information Technology, Intelligent Agents, Czetz János u. 48-50, 1039 Budapest, Hungary)

Abstract

The reported research treats interactions between households and generated feedback dynamics in the adoption of various transportation mode alternatives. We consider a model in which an agent's choice is directly influenced by the percentages of the agent's neighbors and socioeconomic peers that make each choice. The model also accounts for shared unobserved attributes of the choice alternatives in the error structure. We address nonglobal interactions explicitly within different social and spatial network structures, combining advanced econometric estimation with computational techniques from multiagent-based simulation, and we present an empirical application of the model using pseudo-panel microdata collected by the Amsterdam Agency for Traffic, Transport and Infrastructure. Additional heterogeneity is introduced in the model through different mechanisms, such as individual-specific sociodemographic characteristics of the agents, individual-specific attributes of the choice alternatives, and the availability of alternatives. We conclude by highlighting limitations of our present study and recommendations for future work.

Suggested Citation

  • Elenna R Dugundji & László Gulyás, 2008. "Sociodynamic Discrete Choice on Networks in Space: Impacts of Agent Heterogeneity on Emergent Outcomes," Environment and Planning B, , vol. 35(6), pages 1028-1054, December.
    • Handle: RePEc:sae:envirb:v:35:y:2008:i:6:p:1028-1054
    DOI: 10.1068/b33021t
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    References listed on IDEAS

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    1. Masanao Aoki, 1995. "Economic Fluctuations With Interactive Agents: Dynamic And Stochastic Externalities," The Japanese Economic Review, Japanese Economic Association, vol. 46(2), pages 148-165, June.
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    3. Andreas Flache & Rainer Hegselmann, 2001. "Do Irregular Grids Make a Difference? Relaxing the Spatial Regularity Assumption in Cellular Models of Social Dynamics," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(4), pages 1-6.
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    1. Smirnov, Oleg A. & Egan, Kevin J., 2012. "Spatial random utility model with an application to recreation demand," Economic Modelling, Elsevier, vol. 29(1), pages 72-78.
    2. Chorus, Caspar G., 2015. "Models of moral decision making: Literature review and research agenda for discrete choice analysis," Journal of choice modelling, Elsevier, vol. 16(C), pages 69-85.
    3. Maness, Michael & Cirillo, Cinzia, 2016. "An indirect latent informational conformity social influence choice model: Formulation and case study," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 75-101.
    4. Lin, Tao & Wang, Donggen & Zhou, Meng, 2018. "Residential relocation and changes in travel behavior: what is the role of social context change?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 360-374.
    5. Maness, Michael & Cirillo, Cinzia & Dugundji, Elenna R., 2015. "Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior," Journal of Transport Geography, Elsevier, vol. 46(C), pages 137-150.
    6. Smirnov, Oleg A., 2010. "Modeling spatial discrete choice," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 292-298, September.
    7. Kowald, Matthias & van den Berg, Pauline & Frei, Andreas & Carrasco, Juan-Antonio & Arentze, Theo & Axhausen, Kay & Mok, Diana & Timmermans, Harry & Wellman, Barry, 2013. "Distance patterns of personal networks in four countries: a comparative study," Journal of Transport Geography, Elsevier, vol. 31(C), pages 236-248.
    8. Pan, Xiaofeng & Rasouli, Soora & Timmermans, Harry, 2019. "Modeling social influence using sequential stated adaptation experiments: A study of city trip itinerary choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 652-672.

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