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On the potential for recognising of social interaction and social learning in modelling travellers' change of behaviour under uncertainty

On the potential for recognising of social interaction and social learning in modelling travellers' change of behaviour under uncertainty
On the potential for recognising of social interaction and social learning in modelling travellers' change of behaviour under uncertainty
This study aims to investigate the potential of incorporating social interaction and social learning in modelling travellers' change of behaviour under uncertainty. The interdependent situation between travellers in using the road as a public good is considered a source of uncertainty to be studied. The role of social information in reducing the level of uncertainty is investigated. The research methodology utilises laboratory and simulation experiments. A social interdependence situation which is formulated as a hypothetical employer-based demand management initiative in reducing car use is used as the case study. A laboratory experiment demonstrates the dynamic processes of travel behaviour in making repeated travel decisions. Analyses on group and individual behaviours of travellers provide some indications about the existence of some types of social and individual learning mechanisms in their decision-making. The results of the laboratory experiment also provide basic information for developing a simulation model in the next stage of the study. The simulation experiment utilises an agent-based simulation model to simulate and analyse behaviours of individuals in larger environments, larger group sizes, longer time periods and various situational settings. The simulation experiments provide indications, which are supported by the evidence obtained from the laboratory experiment, that social information may have both positive and negative effects on individuals' behaviour, depending on the form of social learning mechanisms that are used by travellers. Providing social information does not necessarily reduce the uncertainty level; however, it is shown to do so when social learning strongly exists among travellers
social interaction, social learning, uncertainty, agent-based simulation
1812-8602
Sunitiyoso, Yos
06e82bdb-5728-4abb-b31b-4918c1eff4bd
Avineri, Erel
9286f6d2-efb8-4283-8d30-f53d10d8412a
Chatterjee, Kiron
ea6abc69-9167-4c55-a8af-fcb0ae1fcb62
Sunitiyoso, Yos
06e82bdb-5728-4abb-b31b-4918c1eff4bd
Avineri, Erel
9286f6d2-efb8-4283-8d30-f53d10d8412a
Chatterjee, Kiron
ea6abc69-9167-4c55-a8af-fcb0ae1fcb62

Sunitiyoso, Yos, Avineri, Erel and Chatterjee, Kiron (2009) On the potential for recognising of social interaction and social learning in modelling travellers' change of behaviour under uncertainty. Transportmetrica. (doi:10.1080/18128600903244776).

Record type: Article

Abstract

This study aims to investigate the potential of incorporating social interaction and social learning in modelling travellers' change of behaviour under uncertainty. The interdependent situation between travellers in using the road as a public good is considered a source of uncertainty to be studied. The role of social information in reducing the level of uncertainty is investigated. The research methodology utilises laboratory and simulation experiments. A social interdependence situation which is formulated as a hypothetical employer-based demand management initiative in reducing car use is used as the case study. A laboratory experiment demonstrates the dynamic processes of travel behaviour in making repeated travel decisions. Analyses on group and individual behaviours of travellers provide some indications about the existence of some types of social and individual learning mechanisms in their decision-making. The results of the laboratory experiment also provide basic information for developing a simulation model in the next stage of the study. The simulation experiment utilises an agent-based simulation model to simulate and analyse behaviours of individuals in larger environments, larger group sizes, longer time periods and various situational settings. The simulation experiments provide indications, which are supported by the evidence obtained from the laboratory experiment, that social information may have both positive and negative effects on individuals' behaviour, depending on the form of social learning mechanisms that are used by travellers. Providing social information does not necessarily reduce the uncertainty level; however, it is shown to do so when social learning strongly exists among travellers

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More information

Published date: 19 October 2009
Keywords: social interaction, social learning, uncertainty, agent-based simulation

Identifiers

Local EPrints ID: 74109
URI: http://eprints.soton.ac.uk/id/eprint/74109
ISSN: 1812-8602
PURE UUID: 3ae14f25-3338-450f-9711-f0af561b2a8b

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Date deposited: 11 Mar 2010
Last modified: 13 Mar 2024 22:26

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Contributors

Author: Yos Sunitiyoso
Author: Erel Avineri
Author: Kiron Chatterjee

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