Purpose Plastic pervades now almost every aspect of our daily lives, but this prosperity has led to an increasing amount of plastic debris, which is now widespread in the oceans and represents a serious threat to biota. However, there is a general lack of consideration regarding marine plastic impacts in life cycle assessment (LCA). This paper presents a preliminary approach to facilitate the characterization of chemical impacts related to marine plastic within the LCA framework. Methods A literature review was carried out first to summarize the current state of research on the impact assessment of marine plastic. In recent years, efforts have been made to develop LCA-compliant indicators and models that address the impact of marine littering, entanglement, and ingestion. The toxicity of plastic additives to marine biota is currently a less understood impact pathway and also the focus of this study. Relevant ecotoxicity data were collected from scientific literature for a subsequent additive-specific effect factor (EF) development, which was conducted based on the USEtox approach. Extrapolation factors used for the data conversion were also extracted from reliable sources. Results and discussion EFs were calculated for six commonly used additives to quantify their toxicity impacts on aquatic species. Triclosan shows an extremely high level of toxicity, while bisphenol A and bisphenol F are considered less toxic according to the results. Apart from additive-specific EFs, a generic EF was also generated, along with the species sensitivity distribution (SSD) illustrating the gathered data used to calculate this EF. Further ecotoxicity data are expected to expand the coverage of additives and species for deriving more robust EFs. In addition, a better understanding of the interactive effect between polymers and additives needs to be developed. Conclusions This preliminary work provides a first step towards including the impact of plastic-associated chemicals in LCA. Although the toxicity of different additives to aquatic biota may vary significantly, it is recommended to consider additives within the impact assessment of marine plastic. The generic EF can be used, together with a future EF for adsorbed environmental pollutants, to fill a gap in the characterization of plastic-related impacts in LCA.

No abstract

Digital transformation in the AEC industry (Architecture, Engineering and Construction) is a key driver to enhance technical innovation in the branch and adds dynamic to all work processes and methods. A more differentiated understanding of the responsible use of innovative technologies aims not only towards increased sustainability and more efficient building life cycles but also recognizing the unintended effects such as artificial intelligence (AI). The study is part of a larger primary research on Corporate Digital Responsibility (CDR) in Construction 4.0; this identifies, analyzes and systematically evaluates key factors of a sustainable digital transformation, especially in the traditionally small-scale Construction Industry - one in which there can be no standardized procedure. The study uses interdisciplinary literature and data research and expert interviews. The qualitative method enables a critical-reflexive analysis of the key factors of a meaningful and sustainable implementation of innovative technologies in Construction. Application examples show possible approaches - some of which are implemented as prototypes - and provide guidance for small to medium-sized companies. The study outlines the necessary steps for companies to define their own potential fields of application and find suitable methods. Another aim of the study is to take stock of the acceptance of new technologies by comparing different perspectives from experts. The study results show new perspectives in the transformation of the Construction Industry. They show that Digital Transformation in Construction 4.0 has great potential for an economical, efficient construction life cycle, but requires the responsible, sensible use of innovative technologies.

The study examines corporate strategies from different angles, defines potential fields of application and works out existing empirical values and trends in the digitization process of the building sector. It highlights the unintended consequences of technological development and offers concrete practical approaches for responsible use. Using the qualitative research method, the study concludes that digital methods, such as BIM and Digital Twins, and Artificial Intelligence (AI) can add value, significantly reduce resources and increase sustainability. The study is part of a larger primary research on Corporate Digital Responsibility (CDR) in Construction 4.0; it identifies, analyzes and systematically evaluates the pillars of a sustainable digital transformation, especially in the Construction Industry. The holistic, interdisciplinary view of this study aims to provide orientation for small to medium-sized companies (SMEs) developing their individual digital strategy. An outline of the necessary prerequisites but also design options, as they result from the evaluation of expert interviews and literature research, supports companies in the design of Construction 4.0 that is in-line with the needs of people, society and the environment and shaping more economically efficient building life cycles. Part II on Best Practices in Construction 4.0 follows up on the published Part I. It highlights that digital transformation has also reached the traditionally small-scale AEC industry (Architecture, Engineering and Construction) and catalyzes the variety of innovations.

No abstract