Determination of the Social Contribution of Sustainable Additives for Asphalt Mixes Through Fuzzy Cognitive Mapping
Source abstract
Abstract
Assessing infrastructure sustainability requires an evaluation of technical, economic, environmental, and social dimensions, with the latter often being overlooked. Asphalt mixtures incorporating end-of-life tire textile fiber additives in Chile have emerged as a sustainable alternative to conventional fibers. However, the social sustainability of these additives remains underexplored. This study develops a model to assess the social sustainability of asphalt additives in Chile using fuzzy cognitive mapping. The methodology includes three stages: (1) qualitative exploration of the conceptual model by information triangulation, (2) construction of a fuzzy cognitive model to estimate social contributions, and (3) dynamic analysis of four additives, including those derived from end-of-life tire textile fiber. The results show that these recycled additives generate distinct social impacts, particularly in terms of consumer interest, innovation, knowledge transfer, and regulatory alignment. Additionally, technical contributions and certifications significantly influence sustainability assessments, exhibiting greater independence from other factors. The findings highlight the potential of repurposed textile fiber as a socially sustainable alternative in asphalt production. This approach supports circular economy initiatives, fosters innovation, and enhances the acceptance of sustainable infrastructure materials in Chile, contributing to a more resilient and responsible construction sector.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Multi-Criteria Decision Making · Cognitive Science and Mapping · Soil and Land Suitability Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Departamento de Ingeniería de Obras Civiles, Universidad de La Frontera, Francisco Salazar 01145, Temuco 4811230, Chile
Institute of Concrete Science and Technology (ICITECH), Universitat Politècnica de València, 46022 Valencia, Spain
Magíster en Ciencias de la Ingeniería, Universidad de La Frontera, Francisco Salazar 01145, Temuco 4811230, Chile
Funding
Agencia Nacional de Investigación y Desarrollo (ANID) of the Government of Chile · MICIU/AEI/10.13039/501100011033
References (55)
Show source-provided references
1. ONU (2024, December 01). 17 Objetivos Para Transformar Nuestro Mundo. Naciones Unidas. Available online: https://www.un.org/sustainabledevelopment/es/.
2. The 2030 agenda for sustainable development: Transformative change through the sustainable development goals?
3. Sierra-Varela, L., Valdes-Vidal, G., Calabi-Floody, A., Lleuful-Cruz, L., Villegas-Flores, N., and Filun-Santana, Á. (2023). Determination of the Social Contribution of Sustainable Asphalt Mixes. Sustainability, 15.10.3390/su152115205 ↗
4. Development of social sustainability assessment method and a comparative case study on assessing recycled construction materials10.1007/s11367-017-1373-0 ↗
5. Social sustainability of communities: A systematic literature review10.1016/j.spc.2024.04.031 ↗
6. A new approach for integrating environmental, social and economic factors to evaluate asphalt mixtures with and without waste tires10.4067/S0718-50732018000300301 ↗
7. Sensitivity and Robustness Analyses in Social Multi-Criteria Evaluation of Public Policies10.1002/mcda.70006 ↗
8. Vanclay, F., and Esteves, A.M. (2024). Setting the scene for good social impact assessment and management. Handbook of Social Impact Assessment and Management, Edward Elgar Publishing Limited.10.4337/9781802208870 ↗
9. Reflections on Social Impact Assessment in the 21st Century
10. A comprehensive review on the plant-mixed cold recycling technology of emulsified asphalt: Raw materials and factors affecting performances10.1016/j.conbuildmat.2024.137344 ↗
11. Performance characteristics of fiber modified hot mix asphalt10.1016/j.conbuildmat.2018.04.221 ↗
12. Multi-criteria analysis of porous asphalt mixtures with aramid fiber under adverse conditions10.1016/j.conbuildmat.2024.136438 ↗
13. The performance of asphalt mixtures modified with lignin fiber and glass fiber: A review10.1016/j.conbuildmat.2019.03.126 ↗
14. Covalent Deposition of Diels–Alder Reaction on Polyester Fiber Surface and Its Enhancement Mechanism on SBS-Modified Asphalt10.1002/app.56712 ↗
15. Los retos de la economía externa: Importaciones, exportaciones, inversión extranjera, tasa de interés, tipo de cambio
16. Recycling of reclaimed fibers from end-of-life tires in hot mix asphalt
17. Cámara de la Industria del Neumático de Chile (CINC) (2020). Generación de Neumáticos Fuera de Uso, CINC.
18. MMA—Ministerio del Medio Ambiente Chile (2021). Decreto Supremo N°8, de 20 de Enero de 2021, que Establece Metas de Recolección y Valorización y Otras Obligaciones Asociadas de Neumáticos.
19. Valdés-Vidal, G., Calabi-Floody, A., Duarte-Nass, C., Mignolet, C., and Díaz, C. (2022). Development of a New Additive Based on Textile Fibers of End-of-Life Tires (ELT) for Sustainable Asphalt Mixtures with Improved Mechanical Properties. Polymers, 14.10.3390/polym14163250 ↗
20. Valdes-Vidal, G., Calabi-Floody, A., Mignolet-Garrido, C., and Bravo-Espinoza, C. (2024). Enhancing Fatigue Resistance in Asphalt Mixtures with a Novel Additive Derived from Recycled Polymeric Fibers from End-of-Life Tyres (ELTs). Polymers, 16.10.3390/polym16030385 ↗
21. Review of sustainability, pretreatment, and engineering considerations of asphalt modifiers from the industrial solid wastes
22. Calabi-Floody, A., Mignolet-Garrido, C., and Valdes-Vidal, G. (2022). Study of the effect of the use of asphalt binders modified with polymer fibres from end-of-life tyres (ELT) on the mechanical properties of hot mix asphalt at different operating temperatures. Materials, 15.10.3390/ma15217578 ↗
23. Investigating the feasibility of a reuse scenario for textile fibres recovered from end-of-life tyres10.1016/j.wasman.2018.02.018 ↗
24. Sierra-Varela, L., Filun-Santana, Á., Araya, F., Villegas-Flores, N., and Martinez-Soto, A. (2024). Rural Road Assessment Method for Sustainable Territorial Development. Appl. Sci., 14.10.3390/app142311021 ↗
25. Papageorgiou, K., Singh, P.K., Papageorgiou, E., Chudasama, H., Bochtis, D., and Stamoulis, G. (2020). Fuzzy Cognitive Map-Based Sustainable Socio-Economic Development Planning for Rural Communities. Sustainability, 12.10.3390/su12010305 ↗
26. Fuzzy cognitive maps in systems risk analysis: A comprehensive review10.1007/s40747-020-00228-2 ↗
27. Use of fuzzy cognitive maps to study urban resilience and transformation10.1016/j.eist.2015.06.006 ↗
28. Modelling the social dimension of sustainable development using fuzzy cognitive maps
29. Short-term PV power data prediction based on improved FCM with WTEEMD and adaptive weather weights10.1016/j.jobe.2024.109408 ↗
30. Using co-constructed mental models to understand stakeholder perspectives on agro-ecology10.1080/14735903.2020.1743553 ↗
31. A review of fuzzy cognitive maps in medicine: Taxonomy, methods, and applications10.1016/j.cmpb.2017.02.021 ↗
32. Fuzzy Cognitive Map-based selection of TRIZ (Theory of Inventive Problem Solving) trends for eco-innovation of ceramic industry products10.1016/j.jclepro.2015.04.131 ↗
33. Determinant attributes and the compensatory judgement rules applied by young consumers to purchase environmentally sustainable food products10.1016/j.spc.2020.06.003 ↗
34. Crack resistance of hot mix asphalt containing different percentages of reclaimed asphalt pavement and glass fiber10.1016/j.conbuildmat.2019.117015 ↗
35. Microstructure and mechanical properties of fibre reinforced asphalt mixtures10.1016/j.conbuildmat.2019.117932 ↗
36. Evaluating the fatigue properties of hot mix asphalt reinforced by recycled PET fibers using 4-point bending test10.1016/j.conbuildmat.2017.02.082 ↗
37. Fiber reinforcing effect on asphalt binder under low temperature10.1016/j.conbuildmat.2014.02.035 ↗
38. Low-temperature crack resistance of coal gangue powder and polyester fibre asphalt mixture10.1016/j.conbuildmat.2019.117678 ↗
39. Selection of fibers to improve porous asphalt mixtures using multi-criteria analysis10.1016/j.conbuildmat.2020.121198 ↗
40. Gupta, A., Lastra-Gonzalez, P., Castro-Fresno, D., and Rodriguez-Hernandez, J. (2021). Laboratory Characterization of Porous Asphalt Mixtures with Aramid Fibers. Materials, 14.10.3390/ma14081935 ↗
41. Effect of fiber length and surface treatment on the performance of fiber-modified binder10.1016/j.conbuildmat.2020.118702 ↗
42. Enhancing mechanical properties of asphalt concrete using synthetic fibers10.1016/j.conbuildmat.2018.05.070 ↗
43. Causal analysis of accidents on construction sites: A hybrid fuzzy Delphi and DEMATEL approach10.1016/j.ssci.2022.105730 ↗
44. Practical metamodel-assisted multi-objective design optimization for improved sustainability and buildability of wind turbine foundations10.1007/s00158-021-03154-0 ↗
45. Tüű-Szabó, B., and Kóczy, L.T. (2025). A highly accurate Mamdani fuzzy inference system for tennis match predictions. Fuzzy Optim. Decis. Mak., 1–29.10.1007/s10700-025-09440-6 ↗
46. A review on methods and software for fuzzy cognitive maps10.1007/s10462-017-9575-1 ↗
47. Tola, M., Georgopoulos, V.C., Geronikou, E., Plotas, P., and Stylios, C. (2024). Fuzzy Cognitive Maps for Decision Support in Post-COVID Syndrome with Speech-Language Pathology-Related Problems. Appl. Sci., 15.10.3390/app15010013 ↗
48. Hosmer, D.W., Lemeshow, S., and Sturdivant, R.X. (2013). Applied Logistic Regression, John Wiley & Sons.10.1002/9781118548387 ↗
49. An FCM-based dynamic modeling of operability and maintainability barriers in road projects10.1007/s42947-021-00027-z ↗
50. Sustainability performance assessment of Tunisian public transport companies: AHP and ANP approaches10.1016/j.seps.2023.101680 ↗
51. Bayesian network modeling for economic-socio-cultural sustainability of neighborhood-level urban communities: Reflections from Kolkata, an Indian megacity10.1016/j.scs.2021.103632 ↗
52. System dynamic simulation: A new method in social impact assessment (SIA)10.1016/j.eiar.2016.07.009 ↗
53. A dynamic decision support system for sustainable supplier selection in circular economy10.1016/j.spc.2021.02.015 ↗
54. de Vialidad, D. (2025, March 02). Manual de Carreteras Volumen 9: Estudios y Criterios Ambientales en Proyectos Viales, Available online: https://mc.mop.gob.cl/Inicio/Index/.
55. Rapid assessment framework for modeling stakeholder involvement in infrastructure development10.1016/j.scs.2016.12.009 ↗