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Stakeholder interests are complex, sensitive and highly uncertain and may influence the development of net zero carbon building (NZCB). However, this study aims to conduct a systematic literature review to explore the stakeholder interests towards achieving NZCB.

A total of 62 articles were identified from the Scopus database and thoroughly reviewed to extract relevant information on stakeholders' interest towards achieving NZCB.

A total of 28 stakeholder interests influencing the development of NZCB were identified from the literature and were classified into six major groups according to their uniqueness (economic, social, environmental, technological, political, regulatory and legal).

The findings of this study provide insight into the specific stakeholder interests towards achieving NZCB. Thus, the findings of this study could serve as a guide for future research, policy formulation and implementation to expedite the practice of building towards net zero carbon (NZC). Empirical studies are suggested in future studies to test and consolidate the theoretical claims of this study.

This paper undertakes a comprehensive systematic review of studies on stakeholder interests towards achieving NZCB, which is the least investigated in the literature.

This research aims to propose a model for the complex decision-making involved in the ecological restoration of mega-infrastructure (e.g. railway engineering). This model is based on multi-source heterogeneous data and will enable stakeholders to solve practical problems in decision-making processes and prevent delayed responses to the demand for ecological restoration.

Based on the principle of complexity degradation, this research collects and brings together multi-source heterogeneous data, including meteorological station data, remote sensing image data, railway engineering ecological risk text data and ecological restoration text data. Further, this research establishes an ecological restoration plan library to form input feature vectors. Random forest is used for classification decisions. The ecological restoration technologies and restoration plant species suitable for different regions are generated.

This research can effectively assist managers of mega-infrastructure projects in making ecological restoration decisions. The accuracy of the model reaches 0.83. Based on the natural environment and construction disturbances in different regions, this model can determine suitable types of trees, shrubs and herbs for planting, as well as the corresponding ecological restoration technologies needed.

Managers should pay attention to the multiple types of data generated in different stages of megaproject and identify the internal relationships between these multi-source heterogeneous data, which provides a decision-making basis for complex management decisions. The coupling between ecological restoration technologies and restoration plant species is also an important factor in improving the efficiency of ecological compensation.

Unlike previous studies, which have selected a typical section of a railway for specialized analysis, the complex decision-making model for ecological restoration proposed in this research has wider geographical applicability and can better meet the diverse ecological restoration needs of railway projects that span large regions.

Critical infrastructures are susceptible to unexpected disruptive events that affect their functional performance. Public–private partnership (PPP) offers opportunities for stakeholders to build resilience by proactively coordinating and positioning the capabilities of the stakeholders. Partnerships are mostly riddled with risks that affect the performance and goal attainment of the partnerships. The purpose of this study was to develop a risk assessment model for PPP in critical infrastructure resilience (CIR) using fuzzy synthetic evaluation.

This study used a quantitative approach to analyse survey responses from respondents. Mean score ranking, Kendall’s coefficient of concordance and fuzzy synthetic evaluation were used to analyse the responses from respondents.

This study identified seven risk categories; Political, Financial, Ethical, Bureaucracies and red tapes, Legal, Coordination and Institutional as the critical risk categories that may frustrate the partners in a PPP arrangement from performing their responsibilities. A risk assessment model was also developed in the form of a risk index equation to ascertain the risk level of using a PPP to build critical infrastructure resilience in Ghana. It was found that the risk level in using PPP to build critical infrastructure resilience is high.

The outcome of this study can be used as an informative and guiding tool to streamline any future PPP arrangement or even amend current PPP arrangements in critical infrastructure resilience.

The study has drawn attention to the risks in using PPP to build critical infrastructure resilience within the Ghanaian context. It has also established a risk index to assess the risk level of using PPP to build critical infrastructure resilience. This risk index can be used to ascertain the risk level in different countries. In addition, no research has been conducted to empirically test the risks in using PPP to build critical infrastructure resilience thus making this study a novel contribution to the critical infrastructure resilience research domain.