Methods of predicting urban domestic energy demand with reduced datasets: a review and a new GIS-based approach

Rylatt, R. M.; Gadsden, Stuart J.; Lomas, Kevin J.

doi:10.1191/0143624403bt061oa

Cited by 32 publications

(14 citation statements)

References 5 publications

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“…The process where a GIS function can be isolated and embedded in almost any other programme as a control code has also been utilized for analysing complex spatial relationships and problem solving (Li et al, 1996;Cheng and Chen, 2002;Rylatt et al, 2003).…”

Section: Geographic Information Systems (Gis)mentioning

confidence: 99%

The application of GIS to construction labour market planning

Anumba

Dainty

Ison

et al. 2005

Construction Innovation

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2005),"A GIS-based site selection system for real estate projects", Access to this document was granted through an Emerald subscription provided by emerald-srm: 463575 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.Abstract: The UK construction industry faces unprecedented skills demands which have been fuelled by sustained sectoral growth and a concurrent downturn in the number of young people entering the industry. However, patterns of supply and demand are not uniform across the country, with regional and local skills shortages being determined by the specific socio-economic context of the area under consideration. Thus, developing effective labour market policy demands spatially-oriented labour market information which can be reconciled against industry growth forecasts within a particular region or locality. This paper explores the potential of Geographic Information Systems (GIS) in providing such a mechanism for enhancing the labour market planning process. The paper details how GIS can aid construction labour market planning through its ability to integrate disparate labour market information efficiently, thereby placing analysts in a better position to understand specific spatial patterns. A range of datasets were strategically combined in order to reveal regional nuances in labour demand and supply which would be difficult to discern without the use of such a tool. Although the GIS output would need to be considered in combination with a range of other forecasting techniques if robust projects of labour demand and shortage are to be generated, it nevertheless offers an effective decision-support tool for informing labour market policy in the future.

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Section: Geographic Information Systems (Gis)mentioning

confidence: 99%

The application of GIS to construction labour market planning

Anumba

Dainty

Ison

et al. 2005

Construction Innovation

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“…These data are easily available for new developments; however, for existing dwellings, most of these data has to be gathered through site surveys. A detailed property survey by a trained assessor can last for at least 30 minutes (Rylatt et al 2003). Thus collecting this data for each dwelling and then aggregating for locality, town, city, region, etc.…”

Section: Methodsmentioning

confidence: 99%

A visual energy performance assessment and decision support tool for dwellings

et al. 2013

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Background: The target for carbon dioxide (CO 2 ) emissions reduction in the UK is set at 20% by 2020 and 80% by 2050. The UK housing stock is one of the least energy efficient in Europe. The energy used in homes accounts for more than a quarter of energy use and carbon dioxide emissions in Great Britain. Therefore, it is imperative to improve the energy performance of the existing housing stock and fully exploit energy efficiency and renewable energy interventions. The UK has developed several policies and initiatives to improve the energy performance of the housing stock and there are a number of databases that hold information about the condition of the housing stock. However, existing approaches and tools do not allow decision makers to assess the environmental and economic effectiveness of CO 2 reduction strategies at the neighbourhood level.

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“…43 Its development is based on previous work on domestic energy modelling with reduced datasets. [44][45][46][47] Its algorithm is similar to other GIS-based domestic energy models [48][49][50] in that the building properties are inferred as a function of known attributes such as the age, built form type and height of the structure. For the purpose of the baseline energy consumption calculation, these data are fed into a modified (BREDEM) 52 through an automated procedure.…”

Section: Energymentioning

confidence: 99%

The comfort, energy and health implications of London’s urban heat island

Mavrogianni

Davies

Batty

et al. 2011

Building Services Engineering Research and Technology

109

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The urban heat island (UHI) is a well-known effect of urbanisation and is particularly important in world megacities. Overheating in such cities is expected to be exacerbated in the future as a result of further urban growth and climate change. Demonstrating and quantifying the impact of individual design interventions on the UHI is currently difficult using available software tools. The tools developed in the LUCID ('The Development of a Local Urban Climate Model and its Application to the Intelligent Design of Cities') research project will enable the related impacts to be better understood, quantified and addressed. This article summarises the relevant literature and reports on the ongoing work of the project. Practical applications: There is a complex relationship between built form, urban processes, local temperature, comfort, energy use and health. The UHI effect is significant and there is a growing recognition of this issue. Developers and planners are seeking advice on design decisions at a variety of scales based on scientifically robust, quantitative methods. The LUCID project has thus developed a series of tools that (1) quantify the effect of urbanisation processes on local environmental conditions, and (2) quantify the impact of such conditions on comfort, energy use and health. The use of such tools is vital, both to inform policy but also to be able to demonstrate compliance with it.

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Methods of predicting urban domestic energy demand with reduced datasets: a review and a new GIS-based approach

Cited by 32 publications

References 5 publications

The application of GIS to construction labour market planning

The application of GIS to construction labour market planning

A visual energy performance assessment and decision support tool for dwellings

The comfort, energy and health implications of London’s urban heat island

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