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

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.

[1]  H. Oppewal,et al.  Residential Choice Behaviour of Dual Earner Households: A Decompositional Joint Choice Model , 1992 .

[2]  Joan L. Walker,et al.  Discrete choice with social and spatial network interdependencies: An empirical example using mixed generalized extreme value models with field and panel effects , 2005 .

[3]  Joan L. Walker,et al.  Discrete Choice with Social and Spatial Network Interdependencies , 2005 .

[4]  William A. Brock,et al.  Discrete Choice with Social Interactions , 2001 .

[5]  Moshe Ben-Akiva,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[6]  Stephan Krygsman,et al.  Activity and Travel Choice(s) in Multimodal Public Transport Systems , 1998 .

[7]  J. J. Beggs,et al.  Urban travel demand , 1973 .

[8]  S. Glaister Urban travel demand : Thomas A. Domencich and Daniel McFadden, (North-Holland Amsterdam, 1975) pp. xvi + 216, $23.25. , 1977 .

[9]  Moshe Ben-Akiva,et al.  STRUCTURE OF PASSENGER TRAVEL DEMAND MODELS , 1974 .

[10]  C H Chang-Hyeon Joh,et al.  Measuring and predicting adaptation in multidimensional activity-travel patterns , 2004 .

[11]  Christian Schulze,et al.  Discretized Opinion Dynamics of the Deffuant Model on Scale-Free Networks , 2004, J. Artif. Soc. Soc. Simul..

[12]  P. Waddell UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning , 2002 .

[13]  E. R. Dugundji The long-term effects of multi-modal transportation: the residental choice behavior of households , 2000 .

[14]  Masanao Aoki,et al.  Economic Fluctuations With Interactive Agents: Dynamic And Stochastic Externalities , 1995 .

[15]  Meredith Rolfe,et al.  Social networks and simulations , 2004 .

[16]  Michael W. Macy,et al.  Social Dynamics: Interaction,Reflexivity and Emergence. , 2005 .

[17]  Dr. Francisco Martínez An Optimal Urban Planning Tool : Subsidies and Regulations , 2004 .

[18]  Lawrence E. Blume,et al.  Equilibrium Concepts for Social Interaction Models , 2003, IGTR.

[19]  Dietrich Stauffer Monte Carlo simulations of Sznajd models , 2002, J. Artif. Soc. Soc. Simul..

[20]  Harry Timmermans,et al.  A Model of Spatial Structure, Activity Participation and Travel Behavior , 2004 .

[21]  W. Brock,et al.  A Multinomial-Choice Model of Neighborhood Effects , 2002 .

[22]  Diemo Urbig,et al.  Attitude Dynamics With Limited Verbalisation Capabilities , 2003, J. Artif. Soc. Soc. Simul..

[23]  M. Sobel,et al.  Identification Problems in the Social Sciences , 1996 .

[24]  Guillaume Deffuant,et al.  How can extremism prevail? A study based on the relative agreement interaction model , 2002, J. Artif. Soc. Soc. Simul..

[25]  M. Wegener,et al.  Reduction of CO2 Emissions of Transport by Reorganisation of Urban Activities , 1996 .

[26]  Joan L. Walker,et al.  Hybrid Choice Models: Progress and Challenges , 2002 .

[27]  Hazhir Rahmandad,et al.  Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models , 2004, Manag. Sci..

[28]  David A. Hensher,et al.  TRESIS: A transportation, land use and environmental strategy impact simulator for urban areas , 2002 .

[29]  M. Sobel,et al.  Identification Problems in the Social Sciences. , 1996 .

[30]  Andreas Flache,et al.  Do Irregular Grids make a Difference? Relaxing the Spatial Regularity Assumption in Cellular Models of Social Dynamics , 2001, J. Artif. Soc. Soc. Simul..

[31]  Joan L. Walker,et al.  Extended Framework for Modeling Choice Behavior , 1999 .