Develop resilience - a System-Level dynamic indicator for testing the Long-Term impact of planned projects based on a Watershed and a city strategy example

The aim of this paper is to develop a system-level dynamic indicator for testing the long-term effectiveness of planned projects in a system. The indicator developed in this paper is a system dynamics model, which adds a dynamic component to the static structure of the flow matrix of Ecological Netw...

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Bibliographic Details
Main Authors: Kiss, T. (Author), Kiss, V.M (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Pec
Online Access:View Fulltext in Publisher
LEADER 02881nam a2200565Ia 4500
001 10.1016-j.ecolind.2021.107970
008 220427s2021 CNT 000 0 und d
020 |a 1470160X (ISSN) 
245 1 0 |a Develop resilience - a System-Level dynamic indicator for testing the Long-Term impact of planned projects based on a Watershed and a city strategy example 
260 0 |b Elsevier B.V.  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.ecolind.2021.107970 
520 3 |a The aim of this paper is to develop a system-level dynamic indicator for testing the long-term effectiveness of planned projects in a system. The indicator developed in this paper is a system dynamics model, which adds a dynamic component to the static structure of the flow matrix of Ecological Network Analysis (ENA). It offers the capability to tailor the model to the condition of individual systems. The paper creates a resilient energy-flow structure for Cone Spring Watershed and uses the table of results formulated in the article “Ecology-related resilience in urban planning – a complex approach for Pécs” (Kiss and Kiss, 2018), in which a method based on ENA was developed which helps with the creation of a resilient and sustainable system. A general system dynamics model – adding dynamics to an arbitrary static resilient structure - is developed first. The practical use of this dynamic indicator is demonstrated by means of an ecological example (Cone Spring Watershed) and a non-ecological example (the resilient and sustainable city strategy of Pécs, Hungary). The model is able to test the long-term effectiveness of the planned investment strategies and allocates the investment budget accordingly. © 2021 The Authors 
650 0 4 |a Baranya [Hungary] 
650 0 4 |a Budget control 
650 0 4 |a Cone spring 
650 0 4 |a Cone Spring 
650 0 4 |a Dynamic indicators 
650 0 4 |a Ecological network analysis 
650 0 4 |a Ecological Network Analysis 
650 0 4 |a Ecology 
650 0 4 |a Economics 
650 0 4 |a Hungary 
650 0 4 |a Hungary 
650 0 4 |a Hungary 
650 0 4 |a Indicator indicator 
650 0 4 |a Investments 
650 0 4 |a K.I.S.S 
650 0 4 |a Pec 
650 0 4 |a Pecs 
650 0 4 |a Pécs 
650 0 4 |a strategic approach 
650 0 4 |a Strategic planning 
650 0 4 |a sustainability 
650 0 4 |a Sustainable cities 
650 0 4 |a Sustainable city 
650 0 4 |a System dynamics 
650 0 4 |a System Dynamics 
650 0 4 |a System dynamics modelling 
650 0 4 |a System levels 
650 0 4 |a System theory 
650 0 4 |a testing method 
650 0 4 |a urban area 
650 0 4 |a urban planning 
650 0 4 |a Urban planning 
650 0 4 |a Urban planning 
650 0 4 |a watershed 
650 0 4 |a Watersheds 
700 1 |a Kiss, T.  |e author 
700 1 |a Kiss, V.M.  |e author 
773 |t Ecological Indicators