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Purpose This paper aims to develop an integrated and comprehensive framework for building and property management (BAPM) for state schools in New Zealand. The results are expected to clarify the complicated process and provide a guide for school boards to manage their property effectively and efficiently. It also seeks to explore the relationship between the key stakeholders and how this impacts the BAPM. Design/methodology/approach In addition, to review literature, qualitative data were obtained through semi-structured interviews with 16 top managers in state schools. The data analysis results were used to develop the framework using the integration definition for process modelling. Findings The findings contribute to understanding the processes in the BAPM in state schools of school board members by adding input, output, control and mechanism elements in each activity of the processes. The systematic models with main activities and people involved are presented as a guide for school boards in state schools in New Zealand. Challenges and issues in the processes are also identified to draw further study for both school boards and the Ministry of Education. Research limitations/implications The research was conducted with the participation of stakeholders who are sampled from top managers in state schools in New Zealand. A larger scale of participants from other schools may generalise the findings further. Practical implications The research findings are based on the needs and requirements of the stakeholders to understand, implement and control the BAPM for their schools and aid them to achieve the best value for money spending on the management. Originality/value The paper highlights the complexity of the BAPM in schools, presents the roles and responsibilities of the school stakeholders and proposes a systematic framework to assist the school managers in this management process.

Major earthquakes can cause extensive damage to buildings and alter both the natural and built environments. Accurately estimating the financial impact from these events is complex, and the damage is not always visible to the naked eye. PACT, SLAT, and HAZUS are some of the computer-based tools designed to predict probable damage before an earthquake. However, there are no identifiable models built for post-earthquake use. This paper focuses on verifying the significance and usage of variables that specifically need to be considered for the post-earthquake cost estimation of earthquake damage repair work (CEEDRW). The research was conducted using a questionnaire survey involving 92 participants who have experience in cost estimating earthquake damage repair work in New Zealand. The Weighted Average, Relative Importance Index (RII), and Exploratory Factor Analysis were used to analyse the data. The research verified that eleven major variables that are significant to the CEEDRW and should be incorporated to cost estimation models. Verified variables can be used to develop a post-earthquake repair cost estimation tool and can be used to improve the pre-earthquake loss prediction tools.

Over recent years, the British government has been investing billions of pounds in new and refurbished healthcare building projects. With the rapid growth in investment in healthcare infrastructure throughout the United Kingdom, a number of sustainability issues have been created, including construction waste generation. There is growing consensus in the literature that healthcare buildings are “complex”, due to their unique functional and operational features, and are thus more prone to generating larger amounts of construction waste. However, no significant research has been undertaken to identify the relationships between complex features in building projects and construction waste production, which is the focus of this study. Twenty-five semi-structured interviews and a questionnaire survey were conducted among healthcare clients, contractors, and architects. A life cycle approach has been adopted in this study to holistically assess and evaluate the effects of complexities with construction waste causes in healthcare projects. The findings reveal that the complex shapes and sizes of rooms, and mechanical and electrical services, significantly impact waste caused by such things as: incomplete briefing, incorrect drawing details, complex designs, non-standard designs, and inadequate communication and coordination in the pre-design, design, and construction stages.

Several studies have documented benefits of prefabrication system (prefab) compared to the traditional building system (TBS). However, the documented benefits have been anecdotal or fragmented with reports of isolated case study projects. Few studies have looked at the objectively quantified benefits from statistical significance point of view and across building types in New Zealand. This study contributes to filling this knowledge gap by analyzing cost and time-savings, and productivity improvement achievable by the use of prefab in place of the TBS. Records of completion times and final contract values of 66 building projects implemented using prefab in Auckland were collected. The building types included commercial, houses, apartments, educational, and community buildings. The project details included final contract sums, completion dates, gross floor areas, and number of floors. Based on these details, the equivalent completion times and the final cost estimates for similar buildings implemented using the TBS were obtained from the Rawlinsons construction data handbook and feedback from some designers and contractors. Marginal productivity outcome for each building project was computed as the product of the cost and time-savings achieved using the prefab. Results showed that the use of prefab in place of TBS resulted in 34% and 19% average reductions in the completion times and costs, respectively. This also translated to overall 7% average improvement in the productivity outcomes in the building projects. Univariate ANOVA-based hypothesis test results showed that ‘building type’ had no significant effects on the cost and productivity improvement outcomes, but had significant effect on the time savings analyzed in the case study projects. The greatest productivity gain of 11% was achieved in house projects. These evidence-based results could guide optimized use of prefab for specific building application. The hypothesis-testing outcome provides insights on one of several potential influences on prefab improvements, which will be analyzed in subsequent research.

Identification of costs drivers and their influence level on building development costs play a key role in the development of construction models and improve the efficiency and effectiveness of any project. Forty-five indicators influencing building development costs in New Zealand are explored by literature review and pilot interviews. These indicators are grouped into seven categories. The determination and ranking of the cost drivers are carried out by a questionnaire survey distributed to key professionals working in New Zealand’s construction industry. Structural equation modeling (SEM) software was employed for analysis of the collected data. One of the key advantages of this powerful software is to provide the p-value according to the structure of the research model. Findings of this study indicate that the property market and construction industry factor, statutory and regulatory factor, and socio-economic factors are major factors affecting building development costs in New Zealand.