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The purpose of this paper is to provide a decision support model for the early diagnosis of housing bubbles in the UK during the maturity process of the phenomenon.

The development process of the model is divided into four stages. These stages are driven by the normal distribution theorem coupled with the case study approach. The application of normal distribution theory is allowed through the usage of several parametric tools. The case studies tested in this research include the last two UK housing bubbles, 1986 to 1989 and 2001/2002 to 2007. The central hypothesis of the model is that during housing bubbles, all speculative activities of market participants follow an approximate synchronisation, and therefore, an irrational, synchronous and periodic increase on a wide range of relevant variables must occur to anticipate the bubble component. An empirical application of the model is conducted on UK housing market data over the period of 1983-2011.

The new approach successfully identifies the well-known UK historical bubble episodes over the period of 1983-2011. The study further determines that for uncovering housing bubbles in the UK, house price changes have the same weight with the debt–burden ratio when their velocity is positive. Finally, the application of this model has led us to conclude that the model’s outputs fluctuate approximately in line with phases of the UK real estate cycle.

This paper proposes a new measure for studying the presence of housing bubbles. This measure is not simply an ex post detection technique but dating algorithms that use data only up to the point of analysis for an on-going bubble assessment, giving an early warning diagnostic that can assist market participants and regulators in market monitoring.

The purpose of this paper is to obtain the criteria of p‐moment exponential robust stability for a class of grey neutral stochastic delay systems.

By constructing a Lyapunov‐Krasovskii functional and employing the decomposition technique of continuous matrix‐covered sets of grey matrix and using three key inequalities, the paper investigates the p‐moment exponential robust stability for a class of grey neutral stochastic delay systems. A numeric example is given to demonstrate the effectiveness of the criteria presented in the paper.

The results not only can be used to judge the p‐moment exponential robust stability of the systems researched in the paper, but also can be applied in the stability analysis of grey non‐neutral stochastic systems.

The method exposed in the paper can be used in the analysis and designation of practical stochastic control systems.

The paper succeeds in obtaining the criteria of p‐moment exponential robust stability for grey neutral stochastic delay systems by constructing a Lyapunov‐Krasovskii functional and employing the decomposition technique of continuous matrix‐covered sets of grey matrix and using three key inequalities.

The purpose of this paper is to estimate long‐run elasticities for housing prices in Tehran's (capital of Iran) 20 different zones relative to several explanatory variables available for use such as land price, total substructure area, material price, etc. Moreover, another goal of this paper is to propose a new approach to deal with problems which arise due to a lack of proper data.

The data set is gathered from “The Municipality of Tehran” and “The Central Bank of Islamic Republic of Iran (CBI)”. One‐way fixed effects and one‐way random effects approaches (which are panel data approaches) are applied to model housing price forecasting function in Tehran's 20 different zones. Results are compared with ordinary least squares approach which is a common approach in this field. Finally, outcomes of the preferred approach are discussed and analyzed with regard to the economic point of view.

Results show that one‐way fixed effects approach provides more accurate forecasts and can be considered as a suitable tool to deal with housing price forecasting problems in environments which are: uncertain, complex, and faced with a lack of proper data. Moreover, it is found that land price is the most effective factor that has impact on total housing cost in Tehran, i.e. the main portion of house prices in Tehran is affected by land price, so appropriate policies have to be made by the government to control fluctuations of this factor.

The proposed approach will supply policy makers with improved estimations with decreased errors in uncertain and complex environments which are faced with a lack of proper data, and it extracts valuable information which enables policy makers for handling non‐linearity, complexity, as well as uncertainty that may exist in actual data sets with respect to housing price forecasting. Moreover, the proposed approach can be applied to similar housing price case studies to obtain more accurate and more reliable outcomes.

Applying panel data approach for estimation of housing prices is relatively new in the field of housing economics. Moreover, this is the first study which employs panel data approach for analyzing the housing market in Tehran.

This paper aims to focus on the adaptive reuse of existing buildings that have become obsolete, an important strategy for sustainable development and a pertinent response to excessive resource usage resulting from typical destruction and redevelopment.

This paper looks at the validity of earlier work to model adaptive reuse potential (ARP) using a new multiple criteria decision analysis tool called iconCUR. Based on a review of 12 case studies, the paper determines the extent of agreement between ARP and iconCUR evaluations that both claim to be useful in making decisions about reuse.

The results show a high correlation between these approaches, whether based on raw scores or on relative ranking, and match expert opinion concerning appropriate actions. This work represents the culmination of a three‐year study into the strategic assessment of building adaptive reuse opportunities.

The paper provides confidence in the modelling of future interventions to revitalise existing built assets using a triple bottom line perspective.

In the Iranian economy, investing in the housing market has been very important and beneficial for investors and households, because of inflationary environment, low real interest rates, underdeveloped financial and tax systems and economic sanctions. Hence, prediction of house prices is the main concern of housing market agents in the economy. The purpose of this paper is to test the stationary properties of Iran's provinces to improve the prediction of future housing prices.

In this paper, the authors have tested the stationary properties of 20 Iran’s province centers over the period from 1993 to 2017 using a novel Fourier quantile unit root test and conventional ordinary/generalized least squares (O/GLS) linear unit root/stationary tests.

According to conventional O/GLS linear unit root/stationary tests, most of the house prices series exhibit random walk behavior, whereas by applying the Fourier quantile unit root test, the null hypothesis of unit root is rejected for 15 out of 20 series. Other results indicated that house prices of cities responded differently to positive and negative shocks.

Previous studies only addressed conventional OLS or GLS linear unit root or stationary tests, but novel Fourier quantile unit root test was not used. New results were obtained based on this unit root test, that, as a priori knowledge, will help benefiting from the positive effects, or avoiding being victimized by the negative effects.

This purpose of this paper is to provide an overview of the theoretical background and applications of inverse reinforcement learning (IRL).

Reinforcement learning (RL) techniques provide a powerful solution for sequential decision making problems under uncertainty. RL uses an agent equipped with a reward function to find a policy through interactions with a dynamic environment. However, one major assumption of existing RL algorithms is that reward function, the most succinct representation of the designer's intention, needs to be provided beforehand. In practice, the reward function can be very hard to specify and exhaustive to tune for large and complex problems, and this inspires the development of IRL, an extension of RL, which directly tackles this problem by learning the reward function through expert demonstrations. In this paper, the original IRL algorithms and its close variants, as well as their recent advances are reviewed and compared.

This paper can serve as an introduction guide of fundamental theory and developments, as well as the applications of IRL.

This paper surveys the theories and applications of IRL, which is the latest development of RL and has not been done so far.

Heritage building revitalisation (HBR) is gaining its popularity to intervene historic buildings/sites for their conservation and reuse. Given that multiple stake-holding situations are often involved in HBR process, coordination or managerial problem may hinder versatile facilities design for operational efficiency while preserving the heritage values. To address the coordination challenge, this paper aims to examine the relevance and relative advantages of a FM-led revitalisation strategy for HBR, which the existing literature has not yet addressed.

This paper adopts a case study approach to a major HBR project in Hong Kong. This study conducted field observations and interviews, which were combined with publicly accessible policy and project information to identify stakeholders’ opinions and specifications for the role of facilities management (FM) in HBR project process.

The paper reveals the role of FM in coordinating the HBR process for the benefits of stakeholders and general community. FM allows a balanced approach to heritage building adaptation, sound user experience and broader community effects. This enables efficient decision-making, creative facilities design and effective public engagement. FM’s strength of fitting in the urban renewal context illustrates its comparative advantage for heritage conservation and revitalisation management.

This study develops a conceptual map to identify FM’s role in heritage building conservation and revitalisation. This will enhance process evaluation and project decision-making that are central to heritage conservation policy and HBR intervention practices.

This study examines relevance and advantage of FM-led business strategy for HBR, which the existing literature has not yet addressed. It discovers FM’s strategic roles and initiates a conceptual framework for evaluation of heritage conservation management.

The high-pressure accumulator has been widely used in the hydraulic system. Failure pressure prediction is crucial for the safe design and integrity assessment of the accumulators. The purpose of this study is to accurately predict the burst pressure and location for the accumulator shells due to internal pressure.

This study concentrates the non-linear finite element simulation procedure, which allows determination of the burst pressure and crack location using extensive plastic straining criterion. Meanwhile, the full-scale hydraulic burst test and the analytical solution are conducted for comparative analysis.

A good agreement between predicted and measured the burst pressure that was obtained, and the predicted failure point coincided very well with the fracture location of the actual shell very well. Meanwhile, the burst pressure of the shells increases with wall thickness, independent of the length. It can be said that the non-linear finite element method can be employed to predict the failure behavior of a cylindrical shell with sufficient accuracy.

This paper can provide a designer with additional insight into how the pressurized hollow cylinder might fail, and the failure pressure has been predicted accurately with a minimum error below 1%, comparing the numerical results with experimental data.

The purpose of this paper is to investigate the major challenges faced by Chinese international contractors (CICs) in the Malaysian construction industry.

An exploratory sequential mixed-methods research approach was adopted where following a detailed literature review and semi-structured interviews with local professionals, 20 prevalent challenges experienced by CICs are identified. Subsequently, a questionnaire survey was used to elicit the views of 100 construction practitioners. Descriptive statistics were used to prioritise the challenges, while exploratory factor analysis was conducted to uncover the underlying factors.

The five most crucial challenges identified relate to: changes of regulation, cost control, contract clauses, language barrier and quality control. Exploratory factor analysis revealed four major underlying dimensions of these challenges, in connection to financial and government policy management, organisational performance management, supplier relationship management and cross-cultural management.

The challenges are considered primarily involving CICs in the context of Malaysia; further work can be extended to Western or other East Asian, such as Japanese and Korean, international contractors undertaking construction projects in Malaysia or selected developing countries around the region.

This study will benefit professionals involved with China-backed construction projects in countries sharing demographics and socio-economic characteristics akin to Malaysia. The outcome of the study is expected to facilitate project managers to devise proactive risk-mitigation measures to reduce the impact of these challenges and to improve project delivery.

The paper examined the challenges faced by CICs in the Malaysian context. This is a timely study, as China’s Belt and Road Initiative will provide considerable opportunities for Chinese companies in Malaysia.

In a state capitalist country such as China, an important influence on company reporting is the government, which can influence company decision-making. The nature and impact of how the Chinese government uses its symbolic power to promote corporate environmental reporting (CER) have been under-studied, and therefore, this paper aims to address this gap in the literature by investigating the various strategies the Chinese government uses to influence CER and how political ideology plays a key role.

This study uses discourse analysis to examine the annual reports and corporate social responsibility (CSR) reports from seven Chinese companies between 2007 and 2011. And the data analysis presented is informed by Bourdieu's conceptualisation of symbolic power.

The Chinese government, through exercising the symbolic power, manages to build consensus, so that the Chinese government's political ideology becomes the habitus which is deeply embedded in the companies' perception of practices. In China, the government dominates the field and owns the economic capital. In order to accumulate symbolic capital, companies must adhere to political ideology, which helps them maintain and improve their social position and ultimately reward them with more economic capital. The findings show that the CER provided by Chinese companies is a symbolic product of this process.

The paper provides contributions around the themes of symbolic power wielded by the government that influence not only state-owned enterprises (SOEs) but also firms in the private sector. This paper also provides an important contribution to understanding, in the context of a strong ideologically based political system (such as China), how political ideology influences companies' decision-making in the field of CER.