Building development cost drivers in the New Zealand construction industry : a multilevel analysis of the causal relationships : a thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy (PhD) in Construction, School of Engineering & Advanced Technology, Massey University, Albany, New Zealand

Building development cost is influenced by a raft of complex factors which range from project characteristics to the operating environment and external dynamics. It is not yet clearly understood how these factors interact with each other and individually to influence building cost. This gap in knowledge has resulted in inaccuracies in estimates, improper cost management and control, and poor project cost performance. This study aims to bridge the knowledge gap by developing and validating a multilevel model of the key drivers of building development cost (BDC) and their causal relationships. Based on literature insights and feedback from a survey of industry practitioners, some hypotheses were put forward in regards to the causal relationships between the BDC and the following key drivers as latent constructs: project component costs factor, project characteristics factor, project stakeholders’ influences factor, property market and construction industry factor, statutory and regulatory factor, national and global dynamics, and socio-economic factor. Observed indicators of the model's latent constructs were identified and measured using a mixed methods research design. Results showed that property market and construction industry factor was the most significant predictor of building development cost in New Zealand, while project component cost factor has the least impact. The model’s fit to the empirical dataset, and its predictive reliability, was validated using structural equation modelling. Results of an additional model validation test by a panel of experts further confirmed its efficacy. Overall, the results suggest that sole reliance on the immediate project component costs without due consideration of the wider and more influencing effects of the external factors could result in inaccurate estimates of building development cost. Key recommendations included addressing the priority observed indicators of the most significant latent variables in cost studies and analysis. Keywords: Building development cost, cost drivers, cost modelling, cost predictio

Exploring the trend of New Zealand housing prices to support sustainable development

The New Zealand housing sector is experiencing rapid growth that has a significant impact on society, the economy, and the environment. In line with the growth, the housing market for both residential and business purposes has been booming, as have house prices. To sustain the housing development, it is critical to accurately monitor and predict housing prices so as to support the decision-making process in the housing sector. This study is devoted to applying a mathematical method to predict housing prices. The forecasting performance of two types of models: autoregressive integrated moving average (ARIMA) and multiple linear regression (MLR) analysis are compared. The ARIMA and regression models are developed based on a training-validation sample method. The results show that the ARIMA model generally performs better than the regression model. However, the regression model explores, to some extent, the significant correlations between house prices in New Zealand and the macro-economic conditions

Optimization of the supplier selection process in prefabrication using BIM

Prefabrication offers substantial benefits including reduction in construction waste, material waste, energy use, labor demands, and delivery time, and an improvement in project constructability and cost certainty. As the material cost accounts for nearly 70% of the total cost of the prefabrication project, to select a suitable material supplier plays an important role in such a project. The purpose of this study is to present a method for supporting supplier selection of a prefabrication project. The proposed method consists of three parts. First, a list of assessment criteria was established to evaluate the suitability of supplier alternatives. Second, Building Information Modelling (BIM) was adopted to provide sufficient information about the project requirements and suppliers’ profiles, which facilitates the storage and sharing of information. Finally, the Analytic Hierarchy Process (AHP) was used to rank the importance of the assessment criteria and obtain the score of supplier alternatives. The suppliers were ranked based on the total scores. To illustrate how to use the proposed method, it was applied to a real prefabrication project. The proposed method facilitates the supplier selection process by providing sufficient information in an effective way and by improving the understanding of the project requirements

Riding the wave of open access : providing library research support for scholarly publishing literacy

Researchers are experiencing intense pressures to publish and increase research outputs. Recently many research funders have introduced policies and mandates related to open access, which have contributed to the increasing popularity of open access journals. Dubbed gold open access, open access journals offer researchers another publishing option. However, some publishers with questionable practices and journals of dubious quality have emerged exploiting the ‘author pays’ open access model and researchers\u27 need to publish. Hence an ability to publish research outputs through the most appropriate outlet for a particular field is crucial for researchers in order to maximise the impact of their research. Notwithstanding the proliferation of open access journals, the literature indicates that some researchers may not have a full understanding of the operations, implications and issues around open access and other publishing issues. This understanding is known as scholarly publishing literacy. With knowledge of scholarly publishing and access to resources and tools, academic libraries and librarians are well-positioned to play an active role in providing support to researchers. This paper argues that scholarly publishing literacy should be treated as an extension of information literacy delivered through a broader research support framework. This paper presents a research librarian\u27s perspective, and draws on literature and the author\u27s practice to illustrate key points. Issues for further investigation are identified

The Expression of the Drazin Inverse with Rank Constraints

By using the matrix decomposition and the reverse order law, we provide some new expressions of the Drazin inverse for any 2×2 block matrix with rank constraints