A sociotechnical approach to causes of urban blight using fuzzy cognitive mapping and system dynamics

• Published in: Cities Vol. 108; p. 102963
• Main Authors: Lousada, Ana L.D., Ferreira, Fernando A.F., Meidutė-Kavaliauskienė, Ieva, Spahr, Ronald W., Sunderman, Mark A., Pereira, Leandro F.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01-01-2021; Elsevier Science Ltd
• Subjects: Alternative approaches; Causes; Cognition; Cognitive mapping; Cognitive models; Councils; Decision makers; Decision making; Degradation; Economic factors; Eradication; Fuzzy cognitive map; Graffiti; Housing; Insecurity; Investments; Low income groups; Mapping; Neighborhoods; Panel data; Prevention; Prevention programs; Property; Property values; Real estate; Scarcity; Shortages; Sociability; Social classes; Sociocultural factors; Strategic planning; Support networks; System dynamics; Unemployment; Urban areas; Urban blight; Urban decline; Urban development; Urban renewal; Strategic planning; Fuzzy cognitive map; System dynamics; Real estate; Cognitive mapping; Urban blight
• ISSN: 0264-2751; 1873-6084
• DOI: 10.1016/j.cities.2020.102963

Urban blight often is prominent in urban environments. It consists of real estate degradation to the extent that blighted residential properties, unfortunately, may provide housing only for the poorest social classes. Urban blight reduces real property values in urban neighborhoods and urban centers, reduces business investment and increases unemployment. Urban blight is not static, but continuously changing, either getting worse or improving. Thus, it is an issue of growing concern for urban decision makers who may attempt to determine its causes. Determining causes of urban blight facilitates the development of strategic measures for the prevention and potential eradication of this phenomenon. This study seeks to bolster the identification of factors that cause urban blight and makes important contributions to both the academic communities and society at large. By combining fuzzy cognitive mapping and the system dynamics approach, our proposal facilitates the identification of urban blight determinants and the development of alternatives to control and eradicate them. Data used in our study were provided by a panel of urban blight experts, and allowed for the identification of the following major causes of urban blight: deficiencies in sociability and/or culture; unfavorable economic and financial factors; policy and/or administrative shortages; lack of urban regeneration; insecurity for people and assets; and building and/or surroundings defects. The results of our decision-support system were analyzed and validated by an independent expert who works for the Lisbon City Council in Portugal. Recommendations for future research are also provided.
•This study allows for a holistic understanding of urban blight.•The proposed approach overcomes some limitations of purely statistical methods.•Cognitive mapping and system dynamics improve variables selection and understanding.•The combined use of cognitive maps and system dynamics supports anti-blight strategies.