This paper introduces and explores the psychological and social factors that both contribute to and inhibit behaviour change vis-à-vis sustainable (tourist) mobility. It is based on papers presented at the Freiburg 2012 workshop. Specifically, it reviews climate change attitudes and perceptions, the psychological benefits of tourism mobilities, addictive elements of mobility and social norming effects, the attitude-behaviour gap (i.e. cognitive dissonance between understandings of, and responses to, climate change), the psychology of modal shifts, the psychology of travel speed/time and psychological explanations for the perceived importance of long distance travel. It notes that anthropogenic climate change is an inescapable reality and that tourism's share of greenhouse gas emissions appears set to rise substantially. There is little prospect of technical solutions adequately addressing this problem. The paper concludes that, while a comprehensive understanding of tourist psychology is necessary to inform policy-makers, it alone will be insufficient to achieve emission reductions, and bring tourism to a climatically sustainable pathway, if treated in isolation. Radical change in the structures of provision is also necessary. That change may take the form of infrastructure planning, including financial and economic infrastructure (e.g. taxation regimes and emission trading schemes) for sustainable mobility.
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Industrial Symbiosis Networks (ISNs) consist of firms that exchange residual materials and energy locally, in order to gain economic, environmental and/or social advantages. In practice, ISNs regularly fail when partners leave and the recovery of residual streams ends. Regarding the current societal need for a shift towards sustainability, it is undesirable that ISNs should fail. Failures of ISNs may be caused by actor behaviour that leads to unanticipated economic losses. In this paper, we explore the effect of these behaviours on ISN robustness by using an agent-based model (ABM). The constructed model is based on insights from both literature and participatory modelling in three real-world cases. It simulates the implementation of synergies for local waste exchange and compost production. The Theory of Planned Behaviour (TPB) was used to model agent behaviour in time-dependent bilateral negotiations and synergy evaluation processes. We explored model behaviour with and without TPB logic across a range of possible TPB input variables. The simulation results show how the modelled planned behaviour affects the cash flow outcomes of the social agents and the robustness of the network. The study contributes to the theoretical development of industrial symbiosis research by providing a quantitative model of all ISN implementation stages, in which various behavioural patterns of entrepreneurs are included. It also contributes to practice by offering insights on how network dynamics and robustness outcomes are not only related to context and ISN design, but also to actor behaviour.
