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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.

The purpose of this paper is to renew a research agenda considering the impact that information providers’ processes are having on the housing market; in particular to develop a research agenda around the role of the Internet in shaping households’ perceptions of the spatial nature of housing markets.

This paper reviews the existing literature. It uses preliminary extensive survey findings about the role of the Internet in housing search to hypothesise ways in which households may be affected by this transition.

Not applicable – other than evidence for the growth in the importance of the Internet in shaping households’ housing search.

First, the academy needs to readdress the theory surrounding information acquisition and use insights from economics, sociology and psychology to understand these processes. Second, local authorities and academics should analyse the impact of Internet use on housing market boundaries (and the profound subsequent impact on policy traction). Third, estate agents should reconsider the role of the Internet in shaping housing markets and provide a critical response to the large property search engines.

This paper reviews the literature and explores the necessity of a renewed interest in research on the role of information sources in framing and constraining housing search behaviour.

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.

The purpose of this study is to identify building information modelling (BIM) input data sets within a BIM-embedded housing refurbishment process and enable construction professionals to use BIM as an information management platform for housing refurbishment projects.

A hypothetical case study using BIM tools for a housing refurbishment project is adopted to identify BIM input data sets to create a housing information model within a BIM system. Reliability of the research outcome is examined by conducting a comparative analysis between existing and simulated research outcomes.

This research identifies essential BIM input data sets during the early design phase. The importance of a well-integrated housing information model containing accurate as-built condition, cost and thermal performance information is essential to use BIM for housing refurbishment. BIM can be feasible for housing refurbishment when an information-enriched housing information model is constructed. Furthermore, the capability of BIM that can enable key project stakeholders to determine the most affordable refurbishment solution among various alternatives is identified as BIM can provide reliable cost estimations and thermal performance of refurbishment alternatives at the early design stage.

The examined refurbishment processes and input data sets are confined to the early design phases as BIM use for housing refurbishment is limited.

This research will contribute to use BIM for housing refurbishment by providing essential BIM input data sets and BIM-embedded refurbishment processes.

This research reveals primary housing information data sets and BIM-embedded refurbishment processes at the early design phase.

The purpose of this paper is to identify primary housing information data set to make an informed decision for key stakeholders to determine the most cost effective refurbishment solution among various alternatives in a building information modelling (BIM) system.

A building simulation approach in conjunction with a hypothetical case study using BIM software (Autodesk Revit) was adopted to identify primary housing information data set and to examine how housing information data set is processed within a BIM system.

Housing information data set such as physical dimensions, energy performance, associated costs, risk level, weather data and other relevant data should be prepared at the outset of a project to determine the most cost effective refurbishment solution. Furthermore, BIM can enable both clients and construction professionals to make informed decisions about diverse climate risk resistant options by providing reliable cost estimations of them at the early design stage.

Actual housing information for the BIM simulation is limited, and as a result, hypothetical housing information based on the UK Government data were used instead.

This research will provide essential housing information data set to utilize BIM effectively and efficiently for refurbishing climate risk vulnerable housing.

This research explores possibility to utilize BIM for climate risk mitigation in the housing sector, and reveals primary housing information data set for BIM to develop a climate resistant housing refurbishment solution.

This paper develops a new decomposition method of the housing market variations to analyse the housing dynamics of the Australian eight capital cities.

This study reviews the prior research on analysing the housing market variations and classifies the previous methods into four main models. Based on this, the study develops a new decomposition of the variations, which is made up of regional information, home‐market information and time information. The panel data regression method, unit root test and F test are adopted to construct the model and interpret the housing market variations of the Australian capital cities.

This paper suggests that the Australian home‐market information has the same elasticity to the housing market variations across cities and time. In contrast, the elasticities of the regional information are distinguished. However, similarities exit in the west and north of Australia or the south and east of Australia. The time information contributes differently along the observing period, although the similarities are found in certain periods.

This paper introduces the housing market variation decomposition into the research of housing market variations and develops a model based on the new method of the housing market variation decomposition.

This paper analyses the value of information and advice for older people in making decisions about housing and care, drawing on an evaluation of FirstStop, a new national information and advice service. The paper discusses the housing problems often faced in older age, and the pressures on public finances of housing an ageing population. The Government is trying to engender a shift to early preparation, prevention and self‐help, so that older people make changes to their housing and care arrangements before encountering a crisis. The paper considers how older people can resolve their housing issues in more satisfactory and empowering ways, and at lower cost to the state, after receiving appropriate and timely information and advice. It also discusses the problems of funding this type of initiative, given the need to ‘prove’ the value for money of publicly funded services in quantitative terms, when the benefits of information and advice are difficult to monetarise.

One of the greatest challenges faced by the 1994 post-apartheid government in South Africa is the housing problem that has persisted for almost 30 years into democracy. Innovation in research and practice is required to address this problem. This paper aims to discuss the aforementioned objective.

This paper presents an argument for housing knowledge management as one part of a much larger system of housing provision and critically compares information variations on one hypothetical, low-cost housing unit adapted for varying climatic regions. It aims to enquire if there is an overlap in information.

The findings do confirm a noteworthy overlap in the information of the varying units. Therefore, knowledge management of the information would prove effective and may contribute in part to housing provision.

The study is limited to assessing the information changes made to the contract documentation of the housing unit.

The paper argues that knowledge management of this overlapping information could impact housing provision by providing knowledge power to those affected by the housing problem.

The findings are a unique perspective presented through a knowledge management lens. In addition, the said knowledge management lens provides a platform to raise additional questions. When seeking answers to these questions, it is expected that research sub-themes would be identified focussing further research studies towards finding answers.