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This paper introduces a new method to account for the stocks and flows of road infrastructure at the national level based on material flow accounting (MFA). The proposed method closes some of the current shortcomings in road infrastructures that were identified through MFA: (1) the insufficient implementation of prospective analysis, (2) heavy use of archetypes as a way to represent road infrastructure, (3) inadequate attention to the inclusion of dissipative flows, and (4) limited coverage of the uncertainties. The proposed dynamic bottom-up MFA method was tested on the Norwegian road network to estimate and predict the material stocks and flows between 1980 and 2050. Here, a supervised machine learning model was introduced to estimate the road infrastructure instead of archetypical mapping of different roads. The dissipation of materials from the road infrastructure based on tire–pavement interaction was incorporated. Moreover, this study utilizes iterative classified and regression trees, lifetime distributions, randomized material intensities, and sensitivity analyses to quantify the uncertainties.

A large share of construction material stock (MS) accumulates in urban built environments. To attain a more sustainable use of resources, knowledge about the spatial distribution of urban MS is needed. In this article, an innovative spatial analysis approach to urbanMS is proposed. Within this scope, MSindicators are defined at neighborhood level and clusteredwith k-mean algorithms. The MS is estimated bottom-up with (a) material-intensity coefficients and (b) spatial data for three built environment components: buildings, road transportation, and pipes, using sevenmaterial categories. The city of Gothenburg, Sweden is used as a case study. Moreover, being the first case study in Northern Europe, the results are explored through various aspects (material composition, age distribution, material density), and, finally, contrasted on a per capita basis with other studies worldwide. The stock is estimated at circa 84 million metric tons. Buildings account for 73% of the stock, road transport 26%, and pipes 1%. Mineral-binding materials take the largest share of the stock, followed by aggregates, brick, asphalt, steel, and wood. Per capita, the MS is estimated at 153 metric tons; 62 metric tons are residential, which, in an international context, is a medium estimate. Denser neighborhoodswith a mix of nonresidential and residential buildings have a lower proportion of MS in roads and pipes than low-density single-family residential neighborhoods. Furthermore, single-family residential neighborhoods cluster in mixed-age classes and show the largest content of wood. Multifamily buildings cluster in three distinct age classes, and each represent a specific material composition of brick, mineral binding, and steel. Future work should focus on megacities and contrasting multiple urban areas and, methodologically, should concentrate on algorithms,MS indicators, and spatial divisions of urban stock.

© 2017, Yale University. Material usage and the related embodied environmental impact have grown in significance in the built environment. Therefore, cities and governments need to develop strategies to reduce both the consumption of resources during usage phase as well as the embodied impact of the current building stock. This article proposes a new component-based building inventory database as a basis to develop such strategies using building stock modeling. The developed database clusters the building stock according to building typology (single-family houses, multifamily houses, and office buildings), age, and the main construction systems of the different building components. Based on the component makeup, it lists the necessary material input and waste output for different refurbishment options for each building component. The advantages of the proposed database structure are shown based on two applications for the developed database for Switzerland. The component-based database allows optimization of refurbishment strategies not only from an energetic perspective, but also with respect to materials, both on the input (sourcing of materials) and the output (waste streams) level. The database structure makes it possible to continuously extend the data set by adding new refurbishment options or add data such as component-specific lifetimes, costs, or labor intensities of the refurbishment options. In combination with an aligned economic model, this would give an even more holistic view, impact, and feasibility of different refurbishment scenarios both in environmental and economic terms.

The possibility of integrating energy harvesting devices into the bridge/tunnel structures along Coastal Highway Route E39 has been investigated in a feasibility study by the Norwegian Public Roads Administration (NPRA). The main advantage of integrating energy conversion devices in a structural element is the reduction of costs compared to stand-alone devices. The construction could be used as a foundation, a mooring point and provide a dry environment for electrical devices. Easy access to the production site could also reduce the cost for installation, operation and maintenance. Two important challenges related to harvesting renewable energy by infrastructure elements, without concerning about the energy source, are to store it or feed the energy to the grid. In the second case, tailoring generation to demand is of critical importance. Tasks such as supply and demand management, for instance, peak hour management, what kind of storage should be used - electrical or thermal - need be solved. Furthermore, integrating energy production devices in a structure might cause negative environmental impacts and affect the life expectancy and maintenance costs of such structures. The potential environmental impacts associated with renewable technologies are the consequences for bird life or marine fauna at the fjord crossing locations, as well as noise and visual impact. Thus, a sustainability assessment should be performed in order to quantify the ecological, economical and societal impacts of the suggested alternatives.

The paper gives an overview on background and outlook on sustainable development as a trend and vision in the building sector. Focus is on the necessity to adapt existing experience values and concepts in when transferring them to other climate zones and cultures than they originate from. This approach shows a great potential in regards to a solution of problems like global warming and limited resources. Experiences with analyzed projects show however, that, despite the goal to create working and healthy homes, technologies and concepts often are not tailored to local conditions. Using the example of a cooperation project of the Swiss Federal Institute of Technology Zurich (ETH Zurich) and the Swiss Federal Laboratories for Materials Science and Technology (EMPA) in which a climate adapted building envelope was developed the paper shows what modifications have to be made. This is especially relevant in the field of building physics in order to increase efficiency and avoid damages to the building and inhabitants and create sustainable homes. Besides this the interchange of the developed envelope, associated production methods and other relevant frame conditions, like local resource availability, is used to demonstrate what barriers and potential synergies can emerge in the course of such a project.

The contribution of indicators and indicator systems to sustainable development is discussed controversially – from positive and limited to negative impacts. Yet, the perception of the potential and risks of sustainability indicator systems influences the success of their implementation. In view of this correlation and the existing research gaps, we investigate the perceived contribution of indicator systems to sustainable development in five Asian cities of developing countries. Thirty interviews with local key actors have been held and a Qualitative Content Analysis has been conducted, drawing on the interview material. Results include a typology of positive and negative contributions based on the type of indicator systems' use, as well as a quantitative description of the level of awareness of different actors. Perceived positive and negative contributions are discussed considering the actors' functions, experiences and cities. The research shows that developers of sustainability indicator systems and scholars have the most awareness concerning risks whereas users and potential users are lacking this, and it portrays future implementation requirements.

Accounting for the social dimension of sustainability proves to be a challenge for corporate practitioners, due to its intangible, qualitative nature and lack of consensus on relevant criteria. We suggest a semi-quantitative approach based on stakeholder involvement to identify relevant aspects for a sector specific assessment of the social dimension. Our case study on biotechnology illustrates that the dialogue with internal and external stakeholders enabled the creation of a key performance indicator (KPI) set to account for social sustainability in the early design stages of biotechnological processes and product development. Indicators for eight aspects are identified for the social assessment: health and safety, quality of working conditions, impact on employment, education and training, knowledge management, innovation potential, customer acceptance and societal product benefit, and social dialogue. We describe the integration of the KPI set in a software application, tailor made for practitioners of the sector, and highlight first user experiences. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.