Research highlights ► Social networks are an important source of information for households’ long term mobility decisions. ► This mechanism is applied in a model to achieve realistic and computationally efficient outcomes. ► Social network evolution and social learning are modelled in coherence.
Abstract Agent-based approaches to simulating long-term location and mobility decisions and short-term activity and travel decisions of households and individuals are receiving increasing attention in land-use and transportation interaction (LUTI) models to predict land-use changes and travel behaviour in mutual interaction. Social interactions between households and between individuals potentially have an influence on a wide range of the long-term and short-term choices involved in these systems. In this paper we identify the areas in which social interactions play a role and address the question how these influences can be modelled in the context of agent-based LUTI models. We distinguish impacts on activity participation (joint activity participation, support-and-help activities) and impacts on decision making (information exchange, social adaptation of preferences and aspirations) as the two main areas of social influence. A prototype of a LUTI model is proposed that accounts for impacts of the social network on longer-term mobility decision making through information exchange and social adaptation of preferences and aspirations. The model is demonstrated in a numerical simulation.
Social influences on household location, mobility and activity choice in integrated micro-simulation models
Transportation Research Part A: Policy and Practice ; 45 , 4 ; 283-295
2009-08-12
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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