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Goal:The study aims to consolidate papers published on the evaluation of investments in cargo transportation in Brazil with a focus on the sustainable perspective, taking into account not only economic but also social and environmental concepts. Design / Methodology / Approach: The method used is based on a keyword tree on scientific basis from november 2016 to february 2017 to identify models for evaluating new and existing infrastructure projects, highlighting the main variables adopted and the gaps of these models. Results: The aim of this study is to bring more transparency among different alternatives of road projects. Limitations of the investigation:The keyword tree methodology may not identify important studies in other languages or older. Practical implications: The study is helpful to policy-makers in their decisions to choose a road project for investment. Originality / Value: The originality of this study lies in the sustainable perspective for evaluating road transport.

Freight transportation in Brazil is heavily based on the road mode bringing heavy dependence of this mode to the country and some consequences such as high operating costs and high air emissions. For these reasons, it was considered the necessity of evaluating new investments made in this mode from a sustainable perspective, taking into account not only economic but also social and environmental concepts. Towards this purpose, the study develops an evaluation model of road transport infrastructure, the TIM, which will help decision making in situations of choice between different alternatives of road projects. The model includes ten variables that count from the initial investment in the road to air emissions of carbon dioxide. All are monetarized individually and then consolidated into a single equation. The result of applying the model is innovative when considering the three spheres of sustainability to evaluate future road transport projects and rank them.

This paper aims to present and discuss a methodology for building an integrated model for information and knowledge management, based on the identification of strategic information assets (IA). It begins with the collection of best practices and benchmarks and the analysis of internal documentation, including the organization mission and vision statements, to then identify strategic information assets that give business support. During field visits and structured interviews for collecting information, information assets are analyzed and partial formal models are then produced. Those models are gradually consolidated into an integrated model. The adopted modelling techniques include: definition of business requirements; development of business use cases and an information model; the representation of information flows; and the identification of knowledge, skills and professionals. The ontology model is used to clarify concepts definitions in this domain. The methodology includes current situation analysis (as is), identification of gaps and the proposal of improvements, which are all reflected in the desired situation models (to be). Project innovation lies, mainly, in the use of IAs and the combination of complex elements to build a unique model that integrates information management and knowledge management components in the same framework.

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