The COVID-19 pandemic was a significant disruption to the construction industry around the globe with multiple impacts, such as workforce limitations and contractual conflicts. Multiple studies have explored the impacts of the pandemic in the construction sector so far. However, little is known about how construction companies responded to the pandemic and what companies’ characteristics may have influenced their responses. The objective of this study is to explore the impacts of COVID-19 and how construction companies responded to the pandemic. To do so, semi-structured interviews with experienced professional working in Chile are qualitatively analyzed to leverage their experience. Furthermore, characteristics of construction companies that influenced how companies responded to the pandemic, namely, size, experience, and financial standing, are explored. The results obtained suggest that the focus in responding to the pandemic was taking care of workers’ safety, improving the planning of projects under highly uncertain conditions, and dealing with the financial stress of developing construction projects. When looking at the influence of companies’ experience, size, and economic capacity, experienced and large companies’ responses were related to implementing teleworking and dealing with a limited workforce. Regarding the economic capacity of construction companies, the focus was placed on responding to the pandemic using multiple sources of financing. Differences identified in how construction companies responded to the pandemic emphasizes the importance of understanding attributes that led companies to having better responses to the pandemic and being prepared for the post-pandemic context.

In Latin America, initiatives have been advocated for developing rural roads that facilitate optimal conditions free from dust, mud, and noise. The criteria for assessing public investment do not align with the requirements of rural infrastructure. Indeed, in rural areas, the territorial conditions such as openness to rural–urban markets, access to education and health, environmental protection, culture, and identity are more important than transportation times or traffic volume. Hence, a multicriteria evaluation method is proposed to prioritize the rural road improvements and maximize their contribution to sustainable territorial development. The roads with the highest sustainable contribution are optimized using a multi-objective decision-making analysis and prioritized based on a Manhattan distance. In addition, a fuzzy cognitive map analyzes the dynamic behavior of the optimal roads. Based on this proposal, a case study is applied where fifteen roads are selected from a sample of 101 in the Araucanía Region, Chile. For this, 16 evaluation criteria, 27 indicators, and sustainability’s social, environmental, technical, and economic dimensions are considered. The results detect reduced one-dimensional contributions despite identifying 15 optimal roads that collectively enhance sustainability. Two roads stand out for their long-term sustainability contribution, which are influenced by economic criteria of zonal productivity, tourism, and road maintenance. Thus, this method can help public agencies rank the roads that must be the subject of development projects.

The social contribution that infrastructure components contribute to a territory tends to be underestimated. Indeed, few studies referring to asphalt pavements take social impact into account in their evaluation. This study proposes and evaluates a method to estimate the social contribution of innovative asphalt mixes used in a test section in Chile. For this, a multi-criteria structure, the Delphi method, was used to validate the evaluation structure, and the Bayesian theory and a Noise-OR model to evaluate the social contribution of asphalt mixes. Thus, for the life cycle of extraction, production, and construction, a set of indicators and social criteria determine a cause-effect decision-making model. Six types of asphalt mixes were evaluated: hot mix asphalt (HMA), warm mix asphalt (WMA) with natural zeolite from Chile, WMA with exported chemical additive, and their variants with and without recycled asphalt pavement (RAP). The results demonstrate that the WMAs with RAP achieve a more significant social contribution, emphasizing its contribution to the landscape, development and innovation, socioeconomic development, and health.

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.

In Latin America, road planning and prioritization have focused on selecting roads based on traffic flow demand and population growth. Under this paradigm, rural roads are often underprioritized, despite having an impact on connectivity, access to services, territorial development, and spatial equity. This has led public programs to seek alternative funding sources to offset the road deficit in rural areas. However, road improvement programs lack support tools for the early formulation of efficient projects aimed at territorial sustainability. Thus, this research proposes an early planning tool for rural road improvement projects that contribute to territorial sustainability through a categorization method. To this end, a multi-criteria multi-objective evaluation model, the intelligent optimization algorithm Harmony Search, and discriminant analysis were used to categorize the sustainable contribution of rural roads within a territory. This study was applied to a case study of 101 rural road projects in the Araucanía region of Chile. The proposed categorization method identified four key criteria that influence the overall sustainability of the territory, as well as four differentiating categories by area. The proposed tool serves as an early planning guide for the design and location of rural roads, promoting a sustainable planning approach.