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This study aims to assess delivery lockers as a last-mile solution, considering the behavior and interaction among e-commerce stakeholders. In Brazil, a large portion of deliveries are attended home. This results in a large number of failed deliveries and redelivery attempts, which can reach up to three delivery attempts. Delivery lockers (DL) represent a solution to reduce the number of re-deliveries and consolidate the delivery of goods. The implementation of DL and the exclusion of the third delivery attempt are evaluated in this study via an agent-based simulation model (ABSM) in the city of Belo Horizonte, Brazil. Four scenarios were simulated by varying delivery locker implementation and the exclusion of the third attempts, which allowed comparable results to be obtained for each agent, in terms of gains and operational and external costs (emission, noise, and congestion). The scenario that most closely resembles the current situation was the one that presented the worst results. The implementation of the lockers brings improvements to this scenario in terms of reducing re-deliveries and distances traveled by trucks. When the possibility of three delivery attempts is excluded, the benefits are even greater. The deployment of lockers also enables carriers to reduce the number of trucks required to make deliveries, thereby increasing their profits.

Construction waste is generated during construction and remodelling undertakings. Construction waste management (CWM) is a challenge in developing countries such as Brazil. Thus, it is necessary to create tools by which CWM may be evaluated. This article presents the elaboration of a tool to assess CWM in Brazilian cities; moreover, this method facilitates such analyses in regions which lack substantial quantitative data. In doing so, the tool, known as the Assessment Index for Construction Waste Management (ICWM), combines quantitative and qualitative information and is composed of 49 indicators and 19 criteria divided into the following groups: operational; environmental; politico-economic, educational; and social. The analytic hierarchy process was used to assign the weights attributed to the groups and criteria to build the index. The indicators were measured according to a standardized rating scale proposed for each one. These elements were aggregated in a mathematical formula that enables the calculation of the ICWM. The aggregation method used was a weighted linear combination, and the index is rated on a 0 to 1 scale. The ICWM was tested in four municipalities. In all cases, the management was considered inefficient. The proposed tool proved to be effective in evaluating the CWM. In cities where the ICWM was tested, it was possible to identify the significant deficiencies of the CWM and recommend improvement actions to develop more efficient and sustainable management.

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