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Orienteering as a Tool for Cognitive Research: An Implementation Guide
Published on: November 29, 2024
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Fuzzy cognitive maps for municipal governance improvement
Lenin Parreño1,2, Federico Pablo-Martí2
1Pontifical Catholic University of Ecuador PUCE, Quito, Ecuador.
Plos One
|February 29, 2024
Summary
Fuzzy Cognitive Maps reveal key factors for Ecuador
Area of Science:
- Public Administration
- Urban Planning
- Socio-economic Development
Background:
- Municipal governments in Ecuador exhibit diverse behaviors impacting citizen well-being.
- Understanding common influencing factors is crucial for policy development.
Purpose of the Study:
- To apply Fuzzy Cognitive Maps (FCMs) to identify elements influencing Ecuadorian municipal government performance and citizen well-being.
- To analyze short-term and long-term dynamics of municipal development.
Main Methods:
- Two-stage information gathering involving national and local experts.
- Development and calibration of Fuzzy Cognitive Maps (FCMs) using genetic algorithms.
Main Results:
- Key concepts for long-term municipal success include a competitive entrepreneurial sector, improved human resources, and strong mayoral leadership.
- Financial transfers and natural resource exploitation are identified as potentially beneficial for urban development.
Conclusions:
- Effective municipal governance requires strategic leadership and a focus on economic and human resource development.
- External financial support and resource utilization are important for achieving sustainable urban development goals.
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