Complexity and travel behaviour: A multi-agent simulation for investigating the influence of social aspects on travellers' compliance with a demand management measure

Sunitiyoso, Y., Avineri, E. and Chatterjee, K. (2010) Complexity and travel behaviour: A multi-agent simulation for investigating the influence of social aspects on travellers' compliance with a demand management measure. In: Silva, E. and de Roo, G., eds. (2010) A Planners Encounter with Complexity. Aldershot: Ashgate, pp. 209-226. ISBN 978-1-4094-0265-7

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Publisher's URL: http://www.ashgate.com/isbn/9781409402657

Abstract

The planning and design of transport systems have an important part in leading travellers to more sustainable and efficient choices. Car-dependence is a prominent problem to be solved in order to reduce traffic congestion. It also affects the general efficiency with which people can travel in urban areas, the environmental impacts of traffic, the structure of towns and settlements and consequently the liveability of the cities. Traditional models of travel behaviour, commonly looking at aggregated choices tend to ignore the complexity of the travel choice problem, where many decision makers influencing each other in a dynamic process of social interactions in various domains and through various types of social network. In this work we present a methodology to model social interactions and their influence on travel choices. The methodology, based on multi-agent simulation, is explained using an example demonstrating the influence of the social interactions on travellers’ behaviour during the implementation of a demand management measure. Some behavioural insights obtained from the example are also discussed

Item Type:Book Section
Uncontrolled Keywords:travel behaviour, demand management, spatial planning
Faculty/Department:Faculty of Environment and Technology > Department of Geography and Environmental Management
ID Code:10717
Deposited By: J. Triggle
Deposited On:06 Aug 2010 10:16
Last Modified:18 Oct 2013 15:59

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