Sustainable Decision-Making in Road Development: Analysis of Road Preservation Policies
| Autor: | Jose Guevara, Angie Ruiz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Process (engineering)
Computer science Geography Planning and Development lcsh:TJ807-830 0211 other engineering and technologies lcsh:Renewable energy sources Analytic hierarchy process Context (language use) 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Predictive maintenance CO2 emissions 021105 building & construction Environmental impact assessment road network lcsh:Environmental sciences 0105 earth and related environmental sciences lcsh:GE1-350 Corrective maintenance Renewable Energy Sustainability and the Environment lcsh:Environmental effects of industries and plants sustainability lcsh:TD194-195 Risk analysis (engineering) Sustainability system dynamics analytic hierarchical process |
| Zdroj: | Sustainability Volume 12 Issue 3 Sustainability, Vol 12, Iss 3, p 872 (2020) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su12030872 |
| Popis: | Road infrastructure in appropriate conditions is a requirement for the development of any country. The formulation of policies oriented to preserve road networks responds to political, socio-economic, and environmental interests. Through a hybrid methodology that integrates system dynamics (SD) and analytic hierarchical process (AHP) approaches, this paper compares some strategies employed in the development of sustainable road maintenance policies in Colombia. Using a hypothetical case study of a national road network, a set of maintenance policy alternatives are evaluated through the SD model in order to analyze the evolution of road conditions, and quantify costs and emissions. Then, a multi-criteria evaluation is performed applying the AHP methodology. Results show that in the Colombian context, decision-making processes regarding maintenance policies are highly influenced by economic factors, which lead to short-term strategies such as performing corrective maintenance over predictive maintenance. However, further analysis demonstrates that predictive maintenance allows the road network to remain in good conditions. Simultaneously, roadways in adequate conditions contribute to mitigate the environmental impact, because CO2 emissions are directly related to the interventions performed to preserve these roads. The proposed methodology can be used as a support tool to formulate maintenance policies that consider the long-term effects at the technical, environmental, and economic levels. |
| Databáze: | OpenAIRE |
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