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The purpose of this paper is to develop a new building typology for: the estimation of heat demand of urban agglomerations; and the assessment of the environmental impact linked to urban re-development policies.

In order to: capture regional differences of urban areas; and describe individual building components of neighbourhoods, the author proposes the construction of a new building typology based upon a regional material catalog (Klauß et al. 2009a).

The main findings of this analysis are primarily on method. The author presents a method to estimate the building shell from available information on the digital cadastre and the first attempt to link material databases with a ranking algorithm. The analysis application presented in this paper shows that the embodied energy on insulation materials and the corresponding energetic payback time depends on the “real” building shell, making it important to accurately compute this value.

Results from this analysis present an heat demand urban model able to capture: regional differences, thanks to the use of the regional material catalog, local characteristics of the building stock, thanks to the detailed information of the digital cadastre, and ability to link building stock models with rich Live Cycle Inventory (LCI) databases for the explicit consideration of the embodied energy of retrofit measures. Further applications of the developed method could be used to assess new urban development plans of the city as well as financial incentives packages for building retrofits.

This analysis shows the first step towards the development of a new building typology constructed upon a regional material catalog. This innovation allows taking regional differences into account. Because the author uses a detailed catalog of building components, an accounting of embodied energy by linking data of a LCI database is possible. In this paper the author presents an application of the enriched data set, the presented example shows the needed embodied energy by adding an extra layer to the predefined building components of selected buildings of the digital cadastre.

The impact of building information modeling (BIM) on various aspects of project management has attracted much attention in the past decade. However, previous studies have focused on a particular facet of project management (e.g., safety, quality, facility management) and within identified target journals. Despite numerous existing studies, there is limited research on the mainstream research topics, gaps and future research directions on BIM in project management. This study aims to conduct a bibliometric and science mapping review of published articles on BIM in project management and to identify mainstream research topics, research gaps and future research directions in this domain.

A science mapping approach consisting of bibliometric search, scientometric analysis and qualitative discussion was used to analyze 521 journal articles that were retrieved from the Scopus database and related to BIM in project management. In the scientometric analysis, keyword co-occurrence analysis and document analysis were performed. This was followed by a qualitative discussion that seeks to propose a framework summarizing the interconnection between the mainstream research topics, research gaps and future research directions.

Six mainstream research topics were found including (1) BIM-enabled advanced digital technologies, (2) BIM-based reinforcement and enhancement, (3) BIM and project composition, (4) BIM project elements and attributes, (5) BIM-based collaboration and communication and (6) BIM-based information and data. Moreover, this study discussed six research gaps, namely, (1) integration of BIM and other digital technologies, (2) future maturity of BIM applications in project management, (3) application of BIM in project components and processes, (4) role of BIM application in project elements and attributes, (5) impact of collaboration and communication in BIM application and (6) stability of information and data interaction. Furthermore, future research directions were discussed.

The findings and proposed framework contribute to providing a deeper understanding to researchers, policymakers and practitioners in the development of related research and practice in the domain of BIM in project management, thus, promoting digital transformation in project management. Overall, it adds to the global knowledge domain in BIM and promotes the need for digital and data integration, BIM maturity and BIM collaboration.

The work described below compares three very different residential typologies in terms of their energy performance in operation. The purpose of this paper is to identify the influence of building typologies and corresponding urban morphologies on operational energy demand and the potential for building integrated energy production.

Two of the typologies studied are apartment buildings while the third comprises single-family homes located on small plots. An important factor under consideration is the insertion into the respective urban design configuration so that mutual shading of the buildings and the ensuing impact on energy performance is evaluated. Heating and cooling demands, as well as the potential for building-integrated electricity production were investigated for four different European climates in a dynamic thermal simulation environment.

The results show that the investigated apartment buildings have a lower operational energy demand than the single-family home in all climates. This advantage is most pronounced in cool climate conditions. At the same time the investigated single-family home has the highest potential for building integrated renewable energy production in all climates. This advantage is most pronounced in low latitudes.

The study builds up on generic buildings that are based on a common urban grid and are easily comparable and scalable into whole city districts. Still, these buildings are planned into such detail, that they provide fully functional floor plans and comply with national building regulations. This approach allows us to draw conclusions on the scale of individual buildings and at an urban scale at the same time.

Energy use in urban areas has turned a subject of local and worldwide interest over the last few years, especially emphasized by the correlated greenhouse gases emissions. The purpose of this paper is to analyse the overall energy efficiency potential and emissions resulting from integrated solutions in urban energy planning, in the scale of districts and neighbourhoods in Brazil.

The approach is based on the description and the application of a method to analyse energy performance of urban areas and support their planning. It is a quantitative bottom-up method and involves urban morphology, urban mobility, buildings and energy supply systems. Procedures are applied to the case study of Agua Branca urban development area, located in Sao Paulo, Brazil.

In the case of Agua Branca area, energy efficiency measures in buildings have shown to be very important mostly for the buildings economies themselves. For the area as a whole, strategies in promoting public transport are more effective in terms of energy efficiency and also to decrease pollutant emissions.

Literature review has shown there is a lack of approaches and procedures able to support urban energy planning at a community scale. The bottom-up method presented in this paper integrates a plenty of disaggregated and multisectoral parameters at the same stage in urban planning and shows that is possible to identify the most promising actions by building overall performance indexes.

The purpose of this paper is to demonstrate a spatial model of population vulnerability (VI) capable of identifying areas of high emergency service demand (ESD) during extreme heat events (EHE).

An index of population vulnerability to EHE was developed from a literature review. Threshold temperatures for EHE were defined using local temperatures, and indicators of increased morbidity. Spearman correlations determined the strength of the relationship between the VI and morbidity during EHE. The VI was mapped providing a visual guide of risk during EHE. Future changes in population vulnerability based on future population projections (2020-2030) were mapped.

The VI can be used to explain the spatial distribution of ESD during EHE. Mapping future changes in population density/demography indicated several areas currently showing high risk will continue to show increased risk.

The limitations include using outdoor temperatures to determine health-related thresholds. Due to data restrictions three different measures of morbidity were used and aggregated to postal areas.

Identifying areas of increased service demand during EHE allows the development of proactive as-well-as reactive responses to heat. The model uses readily available data, is replicable in larger urban areas.

The model allows emergency service providers to work with high risk communities to build resilience to heat exposure and subsequently save lives.

To the authors’ knowledge this triangulated approach using heat thresholds, ESD and projected changes in risk in a spatial framework has not been presented to date.

The objective is to describe and evaluate the development of a novel planning tool for end‐use efficiency in the built environment and for infrastructural changes in the energy system.

After describing problems related to further reduce heat demand in the Danish built environment, the geographical nature of the planning task is discussed. The requirements are then translated into concepts for the development of a general method, which is implemented in a practical design of a heat atlas. Typical applications are described and discussed.

It was found that the availability of the extensive public databases in Denmark make feasible the development and application of a highly detailed geographical information base for end use and infrastructure planning and analysis. It was also realised that the development has much higher potentials than explored in this paper. On the other hand, the complex geography of the urban/rural boundaries of cities requires extra care when using this approach.

Unfortunately, the results of this report are only directly applicable for Denmark, which maintains public databases on the built environment and socio‐demography with a very high standard of detail and coverage. The research presented here may require further development of empirical methods of the relation between energy demand and physically and socially mapped data. On the other hand, the research may contribute to better data for analyses in the techno‐economic analyses of future energy systems, which now can be carried out for arbitrary geographical units, independent of administrative boundaries.

The method presented here may be further developed as a practical tool to be used to revive the municipal and regional energy planning, either by technical consultants or by local governments. Even a publicly accessible, web‐based tool is feasible.

The paper describes how existing data in society can be assembled to a novel method to be used within energy planning, and environmental management as a whole. A system of the one developed does not exist as yet. On the other hand it builds upon existing traditions in energy planning and local governance.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.