Urban blight remediation strategies subject to seasonal constraints

• Published in: European journal of operational research Vol. 296; no. 1; pp. 277 - 288
• Main Authors: Ferreira, Fernando A.F., Spahr, Ronald W., Sunderman, Mark A., Govindan, Kannan, Meidutė-Kavaliauskienė, Ieva
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2022
• Subjects: Cognitive mapping; Decision-making trial and evaluation laboratory (DEMATEL); Multiple criteria decision analysis; OR in societal problem analysis; Urban blight prevention; OR in societal problem analysis; Decision-making trial and evaluation laboratory (DEMATEL); Cognitive mapping; Multiple criteria decision analysis; Urban blight prevention
• ISSN: 0377-2217; 1872-6860
• DOI: 10.1016/j.ejor.2021.03.045

•This real-world study allows for a holistic understanding of urban blight.•The process-oriented approach followed overcomes some limitations of purely statistical methods.•Cognitive mapping improves the understanding of blight prevention strategies.•The integration of moving averages into DEMATEL generated a new algorithm (MA-DEMATEL) to address seasonality constraints.•No prior research was found that has adopted the proposed methodology to address urban blight. Urban blight is often defined as abandoned or poorly maintained real estate properties, often with overgrowth, trash-filled yards and alleys, graffiti, and broken windows. It has a detrimental impact on neighborhood safety and reputation. Blight also creates low-value areas in urban centers, reduces property values and business investment, and increases unemployment. These effects make urban blight an issue of growing interest as the need to eradicate blighted properties has significantly increased worldwide. This study adopted a constructivist, socio-technical stance that combined cognitive mapping, moving averages, and the decision-making trial and evaluation laboratory method. This methodological approach facilitated the identification of prevention strategies that control urban blight occurrences and subsequent eradication subject to seasonal constraints. Based on real-world cases, data was collected directly from a panel of urban blight experts. The members analyzed different prevention initiatives in terms of five major dimensions—governance, community involvement, economic context, territorial planning, and operations—which were previously identified during the development of a collective causal map. Practical applications of the proposed decision-support system were analyzed and validated by two independent experts from the Direção Geral do Território (General Directorate of the Territory of Portugal). No prior research was found that has adopted the proposed methodology to address urban blight. Recommendations facilitating the development of prevention strategies to eradicate urban blight are also provided.