Throwing space back in: a tale of Indian fishermen, ICT and travel behavior

A suite of agent-based models is designed seeking to replicate and expand the findings of a case study examining the effects of introducing cell phones in a regional fisheries market in southern India. The remote availability of market price information led to economic benefits but also longer average travel distances for the fishermen. Our work generalizes these findings, highlighting the role of space and developing scenarios that involve different configurations for the markets and different assumptions about information-gathering strategies. Here we focus on the development of the model as a tool for exploring behavioral adaptations of ICT-using, utility-oriented travelers in different spatio-temporal contexts.

[1]  Michael Batty,et al.  SERIES Key Challenges in Agent-Based Modelling for GeoSpatial Simulation , 2007 .

[2]  Howard Rheingold,et al.  Smart Mobs: The Next Social Revolution , 2002 .

[3]  Nigel Gilbert,et al.  Simulating Societies : The Computer Simulation of Social Phenomena , 1995 .

[4]  Eric Bonabeau,et al.  Agent-based modeling: Methods and techniques for simulating human systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[5]  H. Miller.  Societies and cities in the age of instant access , 2007 .

[6]  R. Jensen.  The Digital Provide: Information (Technology), Market Performance, and Welfare in the South Indian Fisheries Sector , 2007 .

[7]  Jean-Philippe Bouchaud,et al.  Bubbles, crashes and intermittency in agent based market models , 2002 .

[8]  M. G. Quibria,et al.  Digital Divide: Determinants and Policies with Special Reference to Asia , 2003 .

[9]  Joshua M. Epstein.  Agent-based computational models and generative social science , 1999 .

[10]  P. Mokhtarian.  Telecommunications and Travel: The Case for Complementarity , 2002 .

[11]  Donald G. Janelle,et al.  Information, Place, and Cyberspace: Issues in Accessibility , 2000 .

[12]  Simon Marvin,et al.  Urban planning and the technological future of cities , 2000 .

[13]  Gabriel Altmann,et al.  Systems: New Paradigms for the Human Sciences , 1998 .

[14]  Cje Castle,et al.  Ucl Centre for Advanced Spatial Analysis Principles and Concepts of Agent-based Modelling for Developing Geospatial Simulations Principles and Concepts of Agent-based Modelling for Developing Geospatial Simulations 1.2.4.2: Guidelines for Choosing a Simulation / Modelling System .................24 , 2022 .

[15]  Arthur C. Graesser,et al.  Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents , 1996, ATAL.

[16]  Rowena Cullen,et al.  Addressing the digital divide , 2001, Online Inf. Rev..

[17]  A. Doria,et al.  Technology producers meeting indigenous users: the case of Sami network connectivity , 2007 .

[18]  Robert Axelrod.  Advancing the art of simulation in the social sciences , 1997 .

[19]  Martha Garcia-Murillo.  Patchwork Adoption of ICTs in Latin America , 2003 .

[20]  David M Levinson,et al.  Agent-Based Approach to Travel Demand Modeling: Exploratory Analysis , 2004 .

[21]  Donald G. Janelle,et al.  Information, Place, and Cyberspace , 2000 .

[22]  R. Hegselmann,et al.  Simulating Social Phenomena , 1997 .

[23]  L. Tesfatsion.  Agent-based computational economics : A constructive approach to economic theory , 2006 .

[24]  James O. Wheeler,et al.  Cities in the telecommunications age : the fracturing of geographies , 2000 .

[25]  H. Van Dyke Parunak,et al.  Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide , 1998, MABS.