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Purpose – This chapter aims to explore the strategies used by the Hong Kong government to respond to the adult worker model and the male-breadwinner model; and to explore the views of women on the desirability of these strategies. The male-breadwinner model posits that men work full-time outside the home and women take on domestic work. The adult worker model suggests that women and men should be equally expected to participate in formal employment.

Design/methodology/approach – This chapter analyses the policy measures used by the Hong Kong government to support women in their participation in formal employment and the local work-based pension scheme (the Mandatory Provident Fund) as well as other policy measures that offer potential for enabling family care providers to accumulate resources for secure retirement. Additionally, it draws on semi-structured interviews with 30 Hong Kong young women to examine their views on the extent to which the government supports them to save pension incomes.

Findings – This study shows that the Hong Kong government uses a ‘weak action strategy’ to respond to the adult worker model and the male-breadwinner model, and that this strategy fails to meet women’s diverse preferences for their roles in the labour market and the family.

Originality/value – Based on a newly developed framework, this study examines the responses made by the government to both the male-breadwinner model and the adult worker model. It sheds new insights into possible ways of assisting women to achieve secure retirement .

A distinctive feature of mortgages as assets is the existence of prepayment risk, typically viewed as a borrower’s call option to pay the outstanding mortgage balance at any time during the term. While previous research identified important causes for prepayment, these studies are mostly based on fixed‐rate mortgages, with little work on variable‐rate or floating‐rate mortgages and even less work on prepayment in countries other than the USA. This paper presents an analysis of prepayment based on the historical aggregate pre‐payment experience of a sample of variable rate mortgages in Hong Kong, which func‐tions under a Currency Board Mechanism that determines exogenously the level and term structure of interest rates. With variable rate mortgages, it is expected that there will not be a prepayment incentive with decreases in interest rates, unlike the case with fixed‐rate mortgages. However, we argue that observed interest rate movements remain a key factor that affects prepayment decisions, because current interest changes influence expected future interest rates. Furthermore, drawing on quasi‐rational and behavioral economics concepts, we expect the effect on prepayment of expected upward movement in interest rates to be stronger than that of expected downward movements. Empirical evidence from the adjustable rate residential mortgage sample from Hong Kong supports these expected relationships.

Fluctuations in the tender price index have an adverse effect on the construction sector and the economy at large. This is largely due to the positive relationship that exists between the construction industry and economic growth. The consequences of these variations include cost overruns and schedule delays, among others. An accurate forecast of the tender price index is good for controlling the uncertainty associated with its variation. In the present study, the efficacy of using an adaptive neuro-fuzzy inference system (ANFIS) for tender price forecasting is investigated. In addition, the Box–Jenkins model, which is considered a benchmark technique, was used to evaluate the performance of the ANFIS model. The results demonstrate that the ANFIS model is superior to the Box–Jenkins model in terms of the accuracy and reliability of the forecast. The ANFIS could provide an accurate and reliable forecast of the tender price index in the medium term (i.e. over a three-year period). This chapter provides evidence of the advantages of applying nonlinear modelling techniques (such as the ANFIS) to tender price index forecasting. Although the proposed ANFIS model is applied to the tender price index in this study, it can also be applied to a wider range of problems in the field of construction engineering and management.

This paper aims to clarify the relationship between stator tooth shape and DC voltage fluctuation of a double salient hybrid excitation generator (DSHEG). It analyzes the asymmetrical characteristics of the magnetic circuit and inductance between each phase. The study aims to reduce voltage fluctuation by using a stator shape optimization scheme, which helps reducing inductance difference.

This paper opted for a method combined with theoretical analysis, simulation and experimental verification. The stator tooth optimization scheme is given based on theoretical asymmetrical analysis and Taguchi method. A series of two-dimensional finite element analysis simulation of different conditions are conducted. Two prototypes with different stator tooth shape are made and experiments are carried out.

The paper provides empirical insights into how the stator tooth shape influences the asymmetry of inductance and DC voltage fluctuation. Compensation adjustments to the stator tooth shape can narrow the inductance differences of each phase. It suggests that “LTL” shaped DSHEG has lower voltage ripple than “III” shaped DSHEG without sacrificing output power.

Because of the chosen research approach, the gap between magnets and stator and end effect are not considered. Errors exist between simulation and experimental results.

The paper includes implications for other “C” shaped tooth optimization. Study on phase asymmetry of the special machine can further improve quality testing and simplify control strategy.

This paper analyzes the asymmetry of DSHEG and proposes an optimized stator tooth shape to reduce DC voltage fluctuation.

Presents a review on implementing finite element methods on supercomputers, workstations and PCs and gives main trends in hardware and software developments. An appendix included at the end of the paper presents a bibliography on the subjects retrospectively to 1985 and approximately 1,100 references are listed.

The most fundamental requirement of a habitable building is that its occupants can live in it healthily and safely. However, given the proliferation of building‐related accidents recently in Hong Kong, the extent to which our buildings have fulfilled this basic requirement is doubtful. For the benefit of the entire society, more public information on building quality is needed. Aims to address this issue.

This paper extends the Ho et al. assessment model to evaluate the combined health and safety performance of residential buildings in Hong Kong. The model consists of a set of performance‐based objectives and can be translated into a hierarchy of parameters concerning the quality of building design, building management, and the surrounding environment. A total of 99 residential buildings in two urban areas, namely Mongkok and Tsimshatsui, were assessed with the help of a simple and user‐friendly performance indicator called the Building Quality Index (BQI).

The comparative analysis showed that the overall health and safety performance varied significantly with building age and development scale. Building location did not matter in overall performance, but became relevant in disaggregate performances regarding the external environment and building management approaches.

In theory, building management and building location are not related. Further research is needed to disentangle the management effect from the location effect.

The assessment method is a simple and cost‐effective screening tool for mass building assessment at the city level. It can also be used for classifying buildings into different grades in respect of health and safety, providing incentives to building owners, developers, and government bodies to improve the living environment.

The study contributes to a better understanding of the relationship between building performance and its physical characteristics, including location, age, and development scale, in a densely populated high‐rise urban area.

This chapter introduces how the built environment and walking are connected. It looks at the interrelationships within the built environment, and how those are changing given planning and policy efforts to facilitate increased walking for both leisure activity and commuting. Using a broad review and case-based approach, the chapter examines this epistemological development of walking and the built environment over time, reviews the connections, policies and design strategies and emerging issues. The chapter shows many cases of cities which are creating a more walkable environment. It also reveals that emerging issues related to technology and autonomous vehicles, vision zero and car-free cities, and increased regional policy may play a continued role in shaping the built environment for walking. This dialogue provides both a core underpinning and a future vision for how the built environment can continue to influence and respond to pedestrians in shaping a more walkable world.

The purpose of this study is to identify key performance indicators (KPIs) for badminton halls and, through a case study, illustrate how the facilities performance of a university badminton hall can be evaluated from the user perspective.

After a desktop literature review, the findings were discussed by a focus group, and the discussion result formed the basis for establishing an analytic hierarchy of facilities performance for the badminton hall. Then, interviews were made with 169 badminton hall users to solicit their perceived facilities’ importance and performance levels of the hall. Using MATLAB, a computer program incorporated with an Analytic Hierarchy Process was devised to compute the importance weights of the performance attributes under assessment. The outcomes were interpreted using an importance-performance evaluation matrix.

A facilities performance hierarchy, comprising nine KPIs, was established for the badminton hall. The factors influencing the users’ perceptions, the importance and performance levels of the KPIs and the areas of the hall requiring improvements were identified.

Future studies can take a similar approach of this study to develop KPIs and facilities performance hierarchies for other types of sports venues.

The method used to identify the improvements required for the badminton hall can be applied to investigations on other sports facilities.

The methodology of this research was first applied to study a badminton hall – as reported in this paper.

Accurate predictions of the steady-state corrosion phase and service life to achieve specific safety limits are crucial for assessing the service of reinforced concrete (RC) structures. Forecasting the service life (SL) of structures is imperative for devising maintenance and repair strategy plans. The optimization of maintenance strategies serves to prolong asset life, mitigate asset failures, minimize repair costs and enhance health and safety standards for society.

The well-known empirical conventional (traditional) approaches and machine learning (ML)-based SL prediction models were presented and compared. A comprehensive parametric study was conducted on existing models, considering real-world conditions as reported in the literature. The analysis of traditional and ML models underscored their respective limitations.

Empirical models have been developed by considering simplified assumptions and relying on factors such as corrosion rate, steel reinforcement diameter and concrete cover depth, utilizing fundamental mathematical formulas. The growth of ML in the structural domain has been identified and highlighted. The ML can capture complex relationships between input and output variables. The performance of ML in corrosion and service life evaluation has been satisfactory. The limitations of ML techniques are discussed, and its open challenges are identified, along with insights into the future direction to develop more accurate and reliable models.

To enhance the traditional modeling of service life, key areas for future research have been highlighted. These include addressing the heterogeneous properties of concrete, the permeability of concrete and incorporating the interaction between temperature and bond-slip effect, which has been overlooked in existing models. Though the performance of the ML model in service life assessment is satisfactory, models overlooked some parameters, such as the material characterization and chemical composition of individual parameters, which play a significant role. As a recommendation, further research should take these factors into account as input parameters and strive to develop models with superior predictive capabilities.

Recent deployment has revealed that ML algorithms can grasp complex relationships among key factors impacting deterioration and offer precise evaluations of remaining SL without relying on traditional models. Incorporation of more comprehensive and diverse data sources toward potential future directions in the RC structural domain can provide valuable insights to decision-makers, guiding their efforts toward the creation of even more resilient, reliable, cost-efficient and eco-friendly RC structures.