This study develops a complex system dynamics model (SD) reflecting interactions between water resources, Environmental Flow (EF) and socio-economy using SD software package “Vensim PLE”. The proposed model is employed to assess socio-economic impacts of different levels of EF allocation in...

Collaborative research, defined as research involving actors participating in the problem situation under study, has an important role in operational research, strategic management and systems thinking. In a recent study, we found that a strong organizational focus incorporated into many soft...

Energy consumption and efficiency are important in regional low-carbon economic development and environmental protection. This paper provides a system dynamics and fuzzy multi-objective programming integrated approach for the prediction of energy consumption and CO2 emissions at a regional...

Simulation and modeling have long served the domain of complex systems such as energy systems. The system of supply and demand of electricity in Canada is highly complex and dynamic in nature. Understanding the causal relationships among the system's nearly immeasurable amount of variables and...

The majority of thermal power plants of more than 300 MW use river water for cooling purposes. Increasing water and air temperatures due to climate change can significantly impact the efficiency and the power production of these power plants. In this paper we analyse these impacts by modelling...

As China’ largest oilfield, Daqing is of great importance to China, this paper analyzes the status of the Daqing oilfield and forecasts its ultimate recoverable reserves by use of the URR model. The forecast results are presented for three scenarios which show that the ultimate recoverable...

This paper is motivated by the observation that (1) socio economic analysis uses significantly less formalisms than mainstream economics, and (2) that there exist numerous situations in which socio economics could benefit from a more formal analysis. This is particularly the case if institutions...

This paper puts forward a multi-level model, based on system dynamics methodology, to understand the impact of cyber crime on the financial sector. Consistent with recent findings, our results show that strong dynamic relationships, amongst tangible and intangible factors, affect cyber crime...

System dynamics models have become an important tool to develop new theories in social sciences. This approach allows analysing science and technology policy within the structure where this process is carried out. The model developed in this research aims to evaluate the inclusion of an anchor...

Investments in large scale logistical infrastructure are significant and they require a long time and as such good forecasts play an important part. In this research, we combine advanced forecasting methods with system dynamics to study the development of Finnish sea ports. We use regression and...