System dynamics-based stakeholders’ impact analysis of highway maintenance systems

2019 ◽  
Vol 172 (4) ◽  
pp. 187-198 ◽  
Author(s):  
Hong Zhang ◽  
Jiabei Zhao ◽  
Vivian W. Y. Tam
Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1620 ◽  
Author(s):  
Milan Stojkovic ◽  
Slobodan P. Simonovic

Investigating the impact of climate change on the management of a complex multipurpose water system is a critical issue. The presented study focuses on different steps of the climate change impact analysis process: (i) Use of three regional climate models (RCMs), (ii) use of four bias correction methods (BCMs), (iii) use of three concentration scenarios (CSs), (iv) use of two model averaging procedures, (v) use of the hydrological model and (vi) use of the system dynamics simulation model (SDSM). The analyses are performed for a future period, from 2006 to 2055 and the reference period, from 1971 to 2000. As a case study area, the Lim water system in Serbia (southeast Europe) is used. The Lim river system consists of four hydraulically connected reservoirs (Uvac, Kokin Brod, Radojnja, Potpec) with a primary purpose of hydropower generation. The results of the climate change impact analyses indicate change in the future hydropower generation at the annual level from −3.5% to +17.9%. The change has a seasonal variation with an increase for the winter season up to +20.3% and decrease for the summer season up to −33.6%. Furthermore, the study analyzes the uncertainty in the SDSM outputs introduced by different steps of the modelling process. The most dominant source of uncertainty in power production is the choice of BCMs (54%), followed by the selection of RCMs (41%). The least significant source of uncertainty is the choice of CSs (6%). The uncertainty in the inflows and outflows is equally dominated by the choice of BCM (49%) and RCM (45%).


2019 ◽  
Vol 8 (1) ◽  
pp. 41-59 ◽  
Author(s):  
David Zelinka ◽  
Bernard Amadei

This article presents a methodology using system dynamics to model the time-dependent progress of each one of the 17 Sustainable Development Goals (SDGs), as well as their mutual interactions. The hard-systems approach presented herein complements a soft-systems, cross-impact analysis approach presented in part 1. To accomplish this, a modified logistic innovation-diffusion model is used to represent the progress of individual SDGs over time. Then, matrix transposition is used to model the SDGs' interactions. Combining these two techniques into one system dynamics model, the authors propose an analytical, quantifiable, and easily learned tool to understand the complex interplay among the SDGs as a system. The new web-based tool can be used to analyze several scenarios of the SDGs over time to understand the impact of a certain policy or economic intervention. This article is the second of a sequence of two papers analyzing the interactions between the SDGs in a systemic manner.


2010 ◽  
Vol 20 (2) ◽  
pp. 319-336 ◽  
Author(s):  
Chandra Sekhar Pedamallu ◽  
Linet Ozdamar ◽  
Erik Kropat ◽  
Gerhard-Wilhelm Weber

Organizacija ◽  
2010 ◽  
Vol 43 (3) ◽  
pp. 90-101 ◽  
Author(s):  
Chandra Pedamallu ◽  
Linet Ozdamar ◽  
L Ganesh ◽  
Gerhard-Wilhelm Weber ◽  
Erik Kropat

A System Dynamics Model for Improving Primary Education Enrollment in a Developing CountryThe system dynamics approach is a holistic way of solving problems in real-time scenarios. This is a powerful methodology and computer simulation modeling technique for framing, analyzing, and discussing complex issues and problems. System dynamics modeling is often the background of a systemic thinking approach and has become a management and organizational development paradigm. This paper proposes a system dynamics approach for studying the importance of infrastructure facilities on the quality of primary education system in a developing nation. The model is built using the Cross Impact Analysis (CIA) method of relating entities and attributes relevant to the primary education system in any given community. The CIA model enables us to predict the effects of infrastructural facilities on the community's access of primary education. This may support policy makers to take more effective actions in campaigns that attempt to improve literacy.


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