Logo image
Using cause-effect graphs to elicit expert knowledge for cross-impact balance analysis
Journal article   Open access   Peer reviewed

Using cause-effect graphs to elicit expert knowledge for cross-impact balance analysis

Ivana Stankov, Andres F. Useche, Jose D. Meisel, Felipe Montes, Lidia MO Morais, Amelia AL Friche, Brent A. Langellier, Peter Hovmand, Olga L. Sarmiento, Ross A. Hammond, …
MethodsX, v 8, 101492
2021
PMID: 34557387
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1016/j.mex.2021.101492View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Chronic disease Complex Systems Diet Epidemiology Food environment Scenario analysis Systems thinking Transportation system Urban Health
Cross-impact balance (CIB) analysis leverages expert knowledge pertaining to the nature and strength of relationships between components of a system to identify the most plausible future ‘scenarios’ of the system. These scenarios, also referred to as ‘storylines’, provide qualitative insights into how the state of one factor can either promote or restrict the future state of one or multiple other factors in the system. This paper presents a novel, visually oriented questionnaire developed to elicit expert knowledge about the relationships between key factors in a system, for the purpose of CIB analysis. The questionnaire requires experts to make selections from a series of standardized cause-effect graphical profiles that depict a range of linear and non-linear relationships between factor pairs. The questionnaire and the process of translating the graphical selections into data that can be used for CIB analysis is described using an applied example which focuses on urban health in Latin American cities.•A questionnaire featuring a set of standardized cause-effect profiles was developed.•Cause-effect profiles were used to elicit information about the strength of linear and non-linear bivariate relationships.•The questionnaire represents an intuitive visual means for collecting data required for the conduct of CIB analysis. [Display omitted]

Metrics

8 Record Views
3 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#9 Industry, Innovation and Infrastructure

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Regional & Urban Planning
Logo image