Abstract

An important aspect of any scientific approach to sustainability must be methods by which the impacts of possible innovations can be assessed. Clearly, we need to make massive changes in our lifestyles if we are to get anywhere near ‘sustainability’. In this paper, an ‘agent-based model’ is developed which for this initial presentation explores probable impacts on household consumption and emissions of possible innovations. The model randomly picks a large number (here 10,000, but it can be much larger) of households from four different countries and calculates the effects resulting from the adoption of specific innovations. The ‘lifestyle’ of the households within the area studied is divided into four different ‘domains’. These are living, food, mobility and energy. Innovations are launched in the four different domains and the model shows the overall effects on the total input requirements (materials, energy, etc.), the household and food wastes and the CO2 emissions, showing how far the system moves towards sustainability. By using the sustainability criteria of 8000 kg ‘input material’ per year per individual developed by the Wuppertal Institute (Lettenmeier et al. in Resources 3:488–515, 2014, https://doi.org/10.3390/resources3030488, http://www.mdpi.com/journal/resources, ISSN 2079-9276), we can calculate how far the nation or region is from sustainability after adopting possible innovations. This is a measure of the total inputs required per individual per year. It allows us to show that for different countries, with widely different climates (e.g. Finland and Spain), different household innovations would have a greater or lesser impact on attaining ‘sustainable lifestyles’. The model does not pretend to develop a full simulation of each system, including the ecosystem, type of economy, etc., but does look at the effect an innovation in one household domain will have on all four domains, thereby providing information that can improve current decisions. It also demonstrates that, although ‘households’ can do much to improve the situation by reducing their demand for energy and materials, some actions at a national/regional level will be required to achieve sustainability. For example, sustainability will require an end to the use of fossil fuels for transportation and a switch to ‘clean’ electrical power generation from renewables and nuclear sources. Without this change, these countries will find it impossible to reach a sustainable lifestyle.

Highlights

  • With the development of computers, modelling of real systems and situations was able to move on from assuming the system went from one equilibrium to another

  • It became possible to represent the dynamical and even evolutionary changes that might occur over time

  • The first step was system dynamics (Forrester 1961; Meadows et al 2004; Sterman 2000) which described the changes occurring in a system as a result of the interactions between its constituent elements, which in social systems could be different types of agent

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Summary

Introduction

With the development of computers, modelling of real systems and situations was able to move on from assuming the system went from one equilibrium to another. Look at these possibilities using the idea that a reduction of these towards 8000 kg of material footprint would be closer to sustainable This allows us to examine their relative impacts in the different countries studied, and to provide policy advice concerning which innovations would be most effective. PSS (Product Service Systems) are often less accessible, or have less intangible value, than the competing product, in part because PSS usually do not allow consumers as much behavioural freedom or even leave them with the impression that the PSS provider could prescribe how they should behave’’ (Tukker 2015) It seems that at present this is really one kind of innovation that might have a large impact on household footprints, but it is not yet clear how much. This software platform was chosen ahead of other potential alternatives (AnyLogic, Repast Simphony, Python, Netlogo) because of its ability to run in multi-processor mode, customization capacity, performance capacity and its ability to execute the model by a third party without the need for a MATLAB licence

Problem definition
Model design
Fuel Consumption
Reduce Co
The model makes some simplifying assumptions
Living domain innovations
Food domain innovations
Mobility domain innovations
Energy domain innovations
Model output
Reduce Consump
Towards sustainability
Findings
Policy implications
Full Text
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