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Selecting an appropriate contractor or supplier is essential to the successful implementation of a public procurement project. The Taiwan government frequently applies the best-value (BV) tendering method, a multi-criteria evaluation method, to procure projects. However, the selection process of the winner for a BV-based procurement project is generally subjective and thus is easily accused of corruptions. To develop a systematic method to support contractor selection, this study proposes using the Data Envelopment Analysis (DEA) to facilitate the criteria evaluations for each bidder during the short-listing stage. The evaluation results of using the DEA are a list of potential BV winners who are then suggested to enter into the final selection stage. Based on three case studies related to service procurement projects, this research finds that the DEA is suitable of assessing the relative efficiencies among bidders when the BV approach is applied. Lessons learned here should be helpful in applying the DEA to aid bid evaluations in other supplier selection problems.

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The construction industry is an information-intensive industry and heavily relies on documents, including physical and virtual documentation and models, to exchange context-sensitive information among different project participants. Many research efforts have been made to help manage construction information; however, few of them considered the context-sensitive nature of the information. In this paper, the writers propose a new approach to facilitate the management of context-sensitive construction information that is stored in different textual documents. The approach addresses the context-sensitive nature of construction information by representing contexts in ontologies and by using contexts as indices of the information. The approach also presents a reasoning mechanism that leverages the semantically rich features of ontologies to reason about contexts to evaluate their applicabilities. Two case studies were conducted, and the results showed the proposed approach can effectively retrieve, classify, and manage construction information. Finally, the writers discuss the limitations of the proposed approach and future research directions.

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Climate change related events affect informal settlements, or slums, disproportionally more than other areas in a city or country. This article investigates the role of slums in the nationally determined contributions (NDCs) for the Paris Agreement of a selected group of 28 highly urbanized developing countries. Content analysis and descriptive statistics were used to analyze first the general content in these NDCs and second the proposed role, or lack thereof, of slums in these documents. The results show that for most of the analyzed countries, context-based climate policies for slums are not part of the strategies presented in the NDCs. We argue that a lack of policies involving informal settlements might limit the capacity of developing countries to contribute to the main goals of the Paris Agreement, as these settlements are significant portions of their urban populations. One of the hopeful prospects of the NDCs is that they will be reviewed in 2020 for the 26th Conference of the Parties (COP26). With this paper, we aim to stimulate discussions about the crucial role that informal settlements should play in the NDCs of developing countries in the background of the synergies required between climate change actions and sustainable development.