Dr Graham Wood

Purpose. This study investigates the transfer of information from the BIM models to either conventional or advanced asset management platforms using Linked Data. To achieve this aim, a process for generating Linked Data in the asset management context and its integration with BIM data is presented. Methodology. The research design employs a participatory action research (PAR) approach. The PAR approach utilised two qualitative data collection methods namely; focus group and interviews to identify and evaluate the required standards for the mapping of different domains. Also prototyping which is an approach of Software Development Methodology (SDM) is utilized to develop the ontologies and Linked Data. Findings. The proposed process offers a comprehensive description of the required standards and classifications in construction domain, related vocabularies and object-oriented links to ensure the effective data integration between different domains. Also the proposed process demonstrates the different stages, tools, best practices and guidelines to develop Linked Data, armed with a comprehensive use case Linked Data generation about building assets that consume energy. Originality/value. The Linked Data generation and publications in the domain of AECO is still in its infancy and it also needs methodological guidelines to support its evolution towards maturity in its processes and applications. This research concentrates on the Linked Data applications with BIM to link across domains where few studies have been conducted.

This study attempts to determine the procedural effectiveness of EcIA chapters over time by comparing a new review of 112 English EcIA chapters from 2000 onwards with earlier reviews. This was achieved through the novel use of inferential statistics, an approach previously lacking in the EIA and EcIA review literature.

The limitations and advantages of the use of quantitative methods are discussed. In general, there has been an improvement in the information content of EcIA chapters over time, for example in the percentage of EcIA chapters stating the size of the development and estimating the likely effectiveness of proposed mitigation measures. However, the earlier reviews highlighted such severe information deficiencies that the progress seen in the post-2000 EcIA chapter review still leaves considerable scope for improvement.

Changes in the EU’s EIA Directive in force since May 2014 (and to be transposed into Member State legislation by May 2017) have the potential to encourage the use of inferential statistics in EIA and EcIA review: the requirement for Member States to provide central access to EIA information should enable representative samples to be analysed.

Despite widespread recognition of the need to consider IA effectiveness in terms of practice, the literature is dominated by normative approaches that do little to advance understanding of the causal process that lead to particular outcomes. Focusing upon EIA scoping in England, we examine notions of effectiveness directly from the perspective of key practitioner communities. The ‘received view’ of scoping asserts that effectiveness is constrained by a failure to narrow the assessment focus. Using an alternative, pragmatist interpretation (inspired by American philosophical pragmatism) we analyse the understandings and actions of professional practitioner communities. We find that risk management ‘ends–in–view’ shape the interpretation of the purpose of scoping and hence effective practice. Amongst EIA consultants the ends–in–view emphasises managing the risk of project delays, whilst planning officers seek to minimise the risk of legal challenge, and statutory consultees aim to provide advice that is proportionate to potential environmental risks. Practitioner ends–in–view shape the scoping approaches employed and the opportunities for knowledge formulation and ‘learning in action’. Whilst practitioners demonstrate pragmatism in managing uncertainty and there is some awareness of potential power–play, we find that knowledge formation and learning is predominately instrumental and incremental. Instrumental in serving to refine technical details (rather than co–constructed, drawing on multiple rationalities and types of understanding), and incremental in that over time practitioners learn that the most effective way to achieve their ends–in–view is to include impacts  – resulting in a broad, precautionary scoping outcome. Finally, we conclude with reflections on future research directions and the implications for practice given forthcoming changes to the regulatory framework.

Environmental Impact Assessment (EIA) is a key tool to help ensure sustainable built development in more than 200 countries worldwide. Ecology is frequently a component of EIA and early reviews of Ecological Impact Assessment (EcIA) chapters identified scope for improvement at almost every stage of the EcIA process, regardless of country. However, there have been no reviews of UK EcIA chapters since 2000, despite important changes in biodiversity and planning legislation, policy and guidance. In addition, no UK EcIA chapter reviews have attempted to assign a grade or score to EcIA chapters (as has been done for reviews of US, Finnish and Indian EcIA chapters). Furthermore, no EcIA chapter reviews have attempted to use a scoring system to identify which variables determine EcIA chapter information content, beyond straightforward comparisons of EcIA chapters before and after the introduction of guidelines.

A variant of the Biodiversity Assessment Index (BAI) was used to assign scores between zero and one to EcIA chapters based on a series of 47 questions drawn from EU legislation and professional guidance. 112 EcIA chapters for proposed developments that were subsequently granted planning permission in England were assessed. The mean BAI score was less than 0.5, indicating the presence of considerable information gaps in the majority of EcIA chapters.

Of 13 predictor variables identified as having the potential to affect EcIA chapter quality, 10 were identified as significantly related to the BAI scores. A backward stepwise Generalized Linear Model identified the use of professional guidance, the ecological consultancy type and the length of the EcIA chapter as having the greatest combined explanatory power. As a result, several recommendations are made to help improve future EcIA chapter content, including formal EcIA chapter review, publicising the professional guidance to consultants, the provision of training and the introduction of an accreditation scheme for consultants involved in EcIA.