Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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A novel decision support framework for building refurbishment towards zero carbon emissions
(Elsevier Ltd, 2025-11-15) Bui TTP; Wilkinson S; Domingo N; MacGregor C
The refurbishment of existing buildings is vital to maximise carbon emissions reduction and alleviate the impacts of climate change. While various decision support frameworks for building refurbishment exist. There is a notable gap in the availability of comprehensive frameworks that combine diverse methods, tools, and systems to support decision-making aimed at reducing whole-of-life carbon emissions. This paper brings together the development and validation processes of a novel early-stage decision support framework for building refurbishment towards zero carbon emissions in New Zealand (RefurbZC). The development of the framework was based on the critical analysis and interpretation of the literature review, preliminary study, and case study of university buildings in New Zealand, which integrate international best practices adopted to the local context and lessons learnt from real-life case studies. The framework was validated and refined using a focus group workshop with New Zealand building experts involved in the refurbishment process. The new RefurbZC provides a better detailed guideline to use in the early stages of the refurbishment process, focusing on maximising whole-of-life carbon reduction. It helps to understand the refurbishment decision-making process, identify areas for integrating carbon-reduction initiatives, determine key factors and actors in driving carbon-reduction solutions, and promote stakeholder collaboration and integration in carbon-reduction building refurbishment. The presented framework contributes extensively to theoretical and practical knowledge of building refurbishment towards zero carbon emissions and offers a basis and foundation for future work in this research area.
A Comparative Study of Standardised Inputs and Inconsistent Outputs in LCA Software
(MDPI (Basel, Switzerland), 2025-09-04) Gong J; Vishnupriya V; Wilkinson S; Shrestha PP; Shrestha K
Motivation: Life Cycle Assessment (LCA) is a valuable tool for quantifying environmental impacts in construction. However, inconsistencies between software outputs may compromise effective decision-making. Knowledge Gap: In New Zealand’s construction sector, practitioners have limited guidance in selecting suitable LCA tools due to gaps in software scope, data transparency, and the quality of result interpretation. Aim and Objectives: This study investigates inconsistencies in results produced by eight widely used LCA software tools and identifies the key factors contributing to these variations. Research Method: This study uses a comparative analysis with data from a timber-framed warehouse project in Auckland, New Zealand. Eight software tools (SimaPro V9.0, openLCA V2.0, LCAQuick V3.5, Building Carbon Calculator V1.0, CCaLC2 V3.1, eTool V5.0, One Click LCA, and Athena Impact Estimator for Buildings V5.4) were evaluated across 14 environmental impact categories using standardised inputs. Preliminary Findings: Substantial inconsistencies were observed even with standardised inputs, although SimaPro V9.0 and openLCA V2.0 provided the most consistent results. These findings highlight the importance of software selection for reliable environmental assessments. Research Significance: This study aids industry practitioners in selecting effective LCA tools for sustainable construction practices.
Toward Standardised Construction Pipeline Data: Conceptual Minimum Dataset Framework
(MDPI (Basel, Switzerland), 2025-08-07) Elkhidir E; Rotimi JOB; Patel T; Moshood TD; Wilkinson S
The construction industry is a cornerstone of New Zealand (NZ)’s economic growth, yet strategic infrastructure planning is constrained by fragmented and inconsistent pipeline data. Despite the increasing availability of construction pipeline datasets in NZ, their limited clarity, interoperability, and standardisation impede effective forecasting, policy development, and investment alignment. These challenges are compounded by disparate data structures, inconsistent reporting formats, and semantic discrepancies across sources, undermining cross-agency coordination and long-term infrastructure governance. To address this issue, the study begins by assessing the quality of four prominent pipeline datasets using Wang and Strong’s multidimensional data quality framework. This evaluation provides a necessary foundation for identifying the structural and semantic barriers that limit data integration and informed decision-making. The analysis examines four dimensions of data quality: accessibility, intrinsic quality, contextual relevance, and representational clarity. The findings reveal considerable inconsistencies in data fields, classification systems, and levels of detail across the datasets. Building on these insights, this study also develops a conceptual minimum dataset (MDS) framework comprising three core thematic categories: project identification, project characteristics, and project budget and timing. The proposed conceptual MDS includes unified data definitions, standardised reporting formats, and semantic alignment to enhance cross-platform usability and data confidence. This framework applies to the New Zealand context and is designed for replication in other jurisdictions, supporting the global push toward open, high-quality infrastructure data. The study contributes to the construction informatics and infrastructure planning by offering a practical solution to a critical data governance issue and introducing a transferable methodology for developing minimum data standards in the built environment to enable more informed, coordinated, and evidence-based decision-making.
Real-Time tracking and analysis in construction projects: A RealCONs framework
(Elsevier Ltd, 2025-09-01) Radman K; Jelodar MB; Lovreglio R; Ghazizadeh E; Wilkinson S
Construction projects increasingly rely on processing vast amounts of data from multiple sources, including consultants (BIM), cloud-based project management platforms (e.g., Aconex), planning departments, construction sites, main contractors, and subcontractors. However, inefficiencies in data acquisition and reliance on manual data entry hinder real-time project analysis, delay notifications, and decision-making. This study introduces the Real-Time Data-Driven Construction Project Analysis Framework (RealCONs) to address these challenges by streamlining data flow and enhancing project performance. A comparative analysis used eight case studies four employing the existing approach and four utilising RealCONs—to assess improvements in data integration, early delay identification, and decision-making efficiency. The results, validated through Earned Value Management (EVM) and Earned Schedule Management (ESM) metrics, demonstrate that RealCONs significantly enhance project forecasting accuracy, schedule adherence, and cost management. Additionally, statistical analyses, including the Shapiro-Wilk test and the Wilcoxon Signed-Rank analysis, confirm that RealCONs outperform the existing approach by reducing data collection and decision-making delays, enabling project managers to implement proactive mitigation strategies. These findings highlight RealCONs’ potential to improve project efficiency, reduce costs, and optimise real-time construction management.
Flood risk management in New Zealand: A case study of the Northland urban community
(IOP Publishing Ltd, 2022-01-01) Auliagisni W; Wilkinson S; Elkharboutly M
The Northland river is characterised by having a short stream and large catchments. Heavy rains in the region trigger the rapid rise of the water levels and causes flooding, affecting the urban community in the flood plain with flash floods and river overflow as double threats. The government-initiated programs to protect urban communities such as 'predict and mitigate' but primarily focuses on physical infrastructure protection. While providing infrastructure is beneficial, developing a resilient community comprises more holistic strategies. There is a need for improving the local capacity to enhance resilience. A resilient, human-focused mitigation strategy which includes the affected communities, as well as the existing infrastructure, can reduce flood risks more efficiently. This paper explores the ways the Northland communities follow to mitigate existing flood risks, including their perceptions of the current flood protection strategies. This study investigates also the social and cultural elements that influence responses to flood risks. The main recommendation, of the study advocates a community-based risk management plan to complement the government's strategy to efficiently mitigate flood risk in the urban Northland.
Decision making in reducing carbon emissions for building refurbishment: Case studies of university buildings in New Zealand
(Elsevier B.V., 2023-07-05) Bui PTP; Wilkinson S; MacGregor C; Domingo N
The refurbishment of existing buildings offers the greatest opportunity to maximise carbon reduction within the built environment. Although the conceptual framework of the refurbishment process incorporating various methods, tools, and systems to support decision making in reducing whole-of-life carbon emissions exists in the literature, empirical research reporting on how and why the decisions are made in current industry practice is lacking. This paper aims to address this knowledge gap by investigating the decision-making process of building refurbishment considering whole-of-life carbon reduction using three real-life case studies that incorporate decarbonisation decisions. The important findings emerged from an interactive analysis between theoretical propositions and cross-case synthesis. The study sheds a new insight into (1) the effective adoption of building rating systems, (2) the required whole-of-life carbon reduction targets, (3) the importance of establishing a dedicated financial budget for carbon-reduction refurbishment solutions, (4) the need for adaptable refurbishment designs and long-term strategies, (5) holistic design reports, (6) the promotion of early contractor involvement (ECI) approach, (7) government funding and incentives, and (8) the availability of supply chains and data. The originality of the paper is providing a new understanding of the decision-making practices and challenges faced in the refurbishment process, in which lessons learnt for improving the implementation of building refurbishment towards zero carbon are recommended. The research expands theoretical knowledge and practical experience in whole-of-life carbon analysis and performance estimation for building refurbishment. The insights gained from this study offer practitioners and researchers a streamlined interdisciplinary guide to better deliver refurbishment projects towards zero carbon.
Tsunami evacuation modelling via micro-simulation model
(Elsevier B.V., 2023-02-15) Fathianpour A; Evans B; Jelodar MB; Wilkinson S
The associated tsunami risks posed to coastal regions in earthquake-prone areas highlight the importance of an effective emergency evacuation plan for these regions. Evacuation simulations have shown to be a valuable tool in assessing the effectiveness of existing evacuation plans and providing solutions for risk reduction, and improving community readiness. This paper describes the development of a micro-simulation evacuation model (MSEM) to assess the effectiveness of local tsunami evacuation processes and test the results with a velocity-based theoretical model. As an agent-based model, the MSEM considers both pedestrian and vehicle interactions and their interactions with each other. The models were used to assess the evacuation scenarios for a tsunami-prone city Napier, in New Zealand. The evacuation process was evaluated based on a local 8.4 Mw earthquake that would trigger a tsunami event, with an evacuation time of 50 min between feeling the initial shake in Napier City and the time of arrival of the tsunami wave. The study outlined within this paper assumes two scenarios: (1) effected population would evacuate by foot, and (2) affected population would evacuate by car, considered to take place during the afternoon at the traffic peak time. The results of the MSEM show factors such as evacuation method, lane and sidewalk capacities, and interactions between individuals affect the individuals' ability to safely evacuate. The MSEM model based on scenario 1 and 2 for Napier City, demonstrated around 85% of residents would reach designated safe area when all evacuating by foot, whilst, only 45% of evacuees will reach their designated safe zone if all individuals attempted to use vehicles as their means of evacuation.
Reducing the vulnerability of tourists to tsunami: challenges for decision-makers
(Springer Nature, 2023-06-17) Fathianpour A; Wilkinson S; Jelodar MB; Evans B
A near source or local tsunami, because of its close proximity to an affected area, cannot usually be predicted soon enough to mitigate many of the risks posed. The limited notice time in local tsunamis poses greater challenges for decision-makers than distant source tsunamis. Tsunamis affect coastal regions, where many of these areas are visited by tourists who often lack adequate knowledge of the hazards of the region. This study focuses on the risks tourists face during a local tsunami and discusses how to best protect tourists. Initially, a thematic literature analysis was performed to identify research gaps. Then, a case study methodology was adopted to obtain an in-depth understanding of how emergency management officials consider the management of tourists in evacuation planning. Napier, New Zealand, was used as a case study because it is a tourist town and vulnerable to tsunamis. Key decision-makers in the disaster management and tourist management sector were interviewed. The results outline three major initiatives that could lead to better tourist management and create better tsunami awareness for tourists. First, the risks posed to tourists can be reduced if emergency management officials collaborate with tourism agencies. Second, developing accurate evacuation simulations can show what would happen to tourists in a tsunami so that emergency management officials can be better prepared, and councils can improve evacuation planning and infrastructure to evacuate tourists and local communities safely. Third, educating tourists about evacuation plans will increase their readiness and enhance their safety.
Environmental factors in tsunami evacuation simulation: topography, traffic jam, human behaviour
(Springer Nature, 2024-06-07) Fathianpour A; Evans B; Babaeian Jelodar M; Wilkinson S
The risk a tsunami, a high-rise wave, poses to coastal cities has been highlighted in recent years. Emergency management agencies have become more prepared, and new policies and strategies are in place to strengthen the city's resiliency to such events. Evacuation is a highly effective response to tsunamis, and recent models and simulations have provided valuable insights into mass evacuation scenarios. However, the accuracy of these simulations can be improved by accounting for additional environmental factors that affect the impact of a tsunami event. To this end, this study has been conducted to enhance an evacuation simulation model by considering topography that impacts traffic mobility and speed, traffic congestion, and human behaviour. The updated model was employed to evaluate the effectiveness of Napier City's current evacuation plan, as it can realistically simulate both pedestrian and vehicular traffic movements simultaneously. The simulation demonstrated in this paper was based on a scenario involving an 8.4 Mw earthquake from the Hikurangi subduction interface, which would trigger a tsunami risk in the area. Based on this event, the final evacuation time (time between after the shake is felt and the arrival of the tsunami wave at the shoreline of Napier City) is considered to be 50 min. The results of the MSEM model are presented within two categories, (1) survival rate and (2) safe zone capacity. The evacuation simulation model used to examine the environmental factors in this study is the Micro-Simulation Evacuation Model (MSEM), an agent-based model capable of considering both pedestrian and vehicular interactions. The results showed that the steep pathway to the safe zone would markedly decrease the moving speed and reduce the survival rate, highlighting the need to have supporting vertical evacuation to reduce the number of evacuees heading to steep routes. Additionally, the modelling and assessment of mass evacuation by vehicles has highlighted regions of severe congestion due to insufficient network capacity. Through highlighting such regions, the model aid policy makers with a more targeted approach to infrastructure investment to improve flows of traffic in mass evacuation scenarios and increase survival rates.
Navigating Climate Change Challenges through Smart Resilient Cities: A Comprehensive Assessment Framework
(MDPI (Basel, Switzerland), 2024-03) Khatibi H; Wilkinson S; Sweya LN; Baghersad M; Dianat H; Giorgi E; Garau C; Venco EM
The rapid increase in the global population is contributing to the urgent challenges we face in ensuring the sustainability of our planet. This demographic shift, which gained momentum in the 1990s, is closely linked to a surge in natural disasters, both in terms of their frequency and severity. The quest for resources and improved quality of life, including the need for housing and essential services, has compounded these challenges. With the world’s population projected to double by 2050, and approximately two-thirds of this population expected to reside in urban areas, we are facing a complex web of interconnected issues that will significantly magnify the impacts of climate change-induced disasters. It is imperative that we build resilient cities capable of withstanding and adapting to these changes. However, the growing complexity of urban services and the necessity for integrated management raise questions about the preparedness of these resilient cities to comprehend and address the multifaceted challenges posed by climate change. In response to these critical concerns, this study endeavors to address the intersection of resilience and climate change. We propose the development of a Smart Resilient City Assessment Framework, comprising two core components: resilience re-evaluation and smartness evaluation. Each component consists of eight essential steps. The culmination of these steps results in a semi-quantitative index that accurately reflects the city’s position regarding resilience and smartness in the face of climate change-related disasters. To demonstrate the framework’s practicality and suitability, we present results from a hypothetical scenario focusing on water supply management, a critical aspect of climate change adaptation. The framework equips city managers with the necessary tools to re-evaluate their cities’ resilience, evaluate their capacity to address climate change-induced challenges, and make informed decisions on integrating resilience and smart solutions to pave the way for a more sustainable and climate-resilient future.

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