Projecting the future value of a variable in a system dynamics model

1989 ◽  
Vol 5 (1) ◽  
pp. 81-86
Author(s):  
Rolf Clark ◽  
Clark A. Omholt
2014 ◽  
Vol 535 ◽  
pp. 440-445
Author(s):  
Sheng Na Yang ◽  
Hua Guo ◽  
Yan Li ◽  
Jun Liang Liu

With the continuous development of city, urban water consumption is continuously increasing. But the earth's fresh water resources are limited. If you want to meet the urban development increases the amount of water, you must forecast for urban water demand in the future, water demand prediction is also should be formed. This research mainly adopts the method of system dynamics to predict the water demand of city over the next decade. Forecast of water demand to get accurate effective demand in the future by establishing a system dynamic model, which accuracy should tested and verified.


2010 ◽  
Vol 20 (2) ◽  
pp. 59-62
Author(s):  
Patrick Einzinger ◽  
Günther Zauner ◽  
G. Ganjeizadeh-Rouhani

Systems ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 56
Author(s):  
Urmila Basu Mallick ◽  
Marja H. Bakermans ◽  
Khalid Saeed

Using Indian free-ranging dogs (FRD) as a case study, we propose a novel intervention of social integration alongside previously proposed methods for dealing with FRD populations. Our study subsumes population dynamics, funding avenues, and innovative strategies to maintain FRD welfare and provide societal benefits. We develop a comprehensive system dynamics model, featuring identifiable parameters customizable for any management context and imperative for successfully planning a widescale FRD population intervention. We examine policy resistance and simulate conventional interventions alongside the proposed social integration effort to compare monetary and social rewards, as well as costs and unintended consequences. For challenging socioeconomic ecological contexts, policy resistance is best overcome by shifting priority strategically between social integration and conventional techniques. The results suggest that social integration can financially support a long-term FRD intervention, while transforming a “pest” population into a resource for animal-assisted health interventions, law enforcement, and conservation efforts.


Urban Science ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 19
Author(s):  
Robert Dare

This article presents a customized system dynamics model to facilitate the informed development of policy for urban heat island mitigation within the context of future climate change, and with special emphasis on the reduction of heat-related mortality. The model incorporates a variety of components (incl.: the urban heat island effect; population dynamics; climate change impacts on temperature; and heat-related mortality) and is intended to provide urban planning and related professionals with: a facilitated means of understanding the risk of heat-related mortality within the urban heat island; and location-specific information to support the development of reasoned and targeted urban heat island mitigation policy.


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