Relationship management among different stakeholder groups plays an increasingly important role in construction innovation, which could explain the growing interest in stakeholder relationship studies of construction projects (SRCP) over the last two decades. However, most of the recent literature review studies have focused on stakeholder management, and there are very few studies systematically describing what types of relationships actually exist in construction projects. To fill the gap, a mixed-methods review is conducted to explore the state-of-the-art work on SRCP. 312 relevant peer-reviewed journal articles published between 2000 and 2022 were examined and analyzed using data from the Scopus and Web of Science databases. A follow-up systematic review of the identified literature was conducted with three main objectives: identifying the main research category, summarizing the main research topics, and proposing future research directions. It was found that over the past 20 years, SRCP has been extended to a greater variety of research topics, such as information technology, which needs to take into account the multi-dimensional research agendas. Overall, this study contributes to the research field in the SRCP domain by offering insightful information on the current state of SRCP and proposing potential future directions for research.

At the heart of a bridge maintenance management system (BMMS) is a set of performance prediction and maintenance decision-making models. If focused on quantitative methods alone, the ultimate validity of these models can only be established through implementation, thus delaying the applicability and acceptability of the models in practice. This is even more important for project management and infrastructure asset management domains, because the results and processes by which they are derived must be accepted by the academic and professional communities so that the new knowledge is quickly added, assimilated, and applied in daily practice. Given the poor state of physical infrastructure in many countries, the importance of improving asset management principles and practices is becoming critical. A comprehensive framework that integrates qualitative and quantitative methodologies for BMMS development is formulated, based on research and development of a BMMS model specific to Hong Kong that includes struct...

The central challenge in developing deterioration models for infrastructure facilities based on field data, is the right selection of base models along with the specific nature of the available condition data. A parametric model is extensively used in infrastructure deterioration modeling. However, the pre-assumed hazard shape of parametric models is questionable because of the lack of explanations of the underlying assumption. Cox proportional hazard models have the advantage that they make no advance assumption about the shape of the hazard function and support multivariate analysis; and are thus proposed to solve the problems stemming from the predefined distributions of the parametric models. However, the basic uncalibrated functions of Cox models can appear complex and inapplicable for maintenance management applications. Therefore, it is considered useful to incorporate both semi-parametric and parametric models in an integrated strategy for modeling survival data. The development of an integrated methodology to predict the distribution of durations between changes in condition states by incorporating both Cox regression analysis and parametric models for concrete bridge elements, is presented in this paper.

Despite growing interest in integrating Lean Construction (LC) and Building Information Modeling (BIM) to advance sustainability in the Architecture, Engineering, and Construction (AEC) industry, research remains fragmented and lacks a unified implementation framework. This study bridges this gap by conducting a systematic literature review (2010–2024) of 96 journal articles to (1) analyze research trends in BIM-LC integration; (2) evaluate its benefits for sustainable built environments; and (3) identify barriers to adoption. A key contribution is the development of a novel four-dimensional BIM-LC integration framework, encompassing information integration, supply chain management, waste management, and life cycle management, which synergizes LC principles with BIM’s technical capabilities to reduce waste, enhance resource efficiency, and support carbon neutrality goals. The findings reveal that while BIM-LC integration significantly improves construction productivity and reduces environmental impacts, technical challenges in data interoperability and fragmented lifecycle management persist. Actionable solutions are further proposed, including semantic model standardization, AI-driven supply chain resilience, and circular economy integration. This framework provides both scholars and practitioners with a roadmap to advance BIM-LC adoption for sustainable construction.

In the commonly used approach to maintenance scheduling for infrastructure facilities, maintenance decisions are made under the assumptions that inspection frequency is periodical and fixed, and that the true state of a facility is revealed through inspections. This research addresses these limitations by proposing a decision-making approach for determining optimal maintenance, repair, and rehabilitation (MR&R) strategy and inspection intervals for infrastructure facilities that can explicitly take into account non-periodical inspections as well as previously considered periodical inspections. Four transition probabilities are proposed to represent four different MR&R strategies. Then, an optimization program is suggested to minimize MR&R and inspection costs of a bridge element network over a given time period, while keeping the condition states of the element network above a predetermined level. A case study was applied to illustrate the proposed approach. The results show that the proposal approach can support decision making in situations where non-periodical inspections and MR&R actions are incorporated into the model development. If employed properly, this may allow agencies to maintain their infrastructure more effectively, resulting in cost savings and reducing unnecessary waste of resources.

Ecosystem theory provides a new perspective for studying the development of the architecture engineering and construction (AEC) industry in the age of information and communication technology (ICT). As an extremely ICT innovation, building information modelling (BIM) not only brings technical benefits to the AEC industry, but changes the innovation paradigm of the AEC industry towards an innovation ecosystem, which improve productivity and sustainability throughout the project life cycle. This article contributes to innovation ecosystem theory by exploring the structure of the BIM ecosystem and deriving its cultivation path. Then, as the leading city in China for developing BIM technologies, Shanghai was selected as the case study to elaborate on the cultivation path of the BIM ecosystem. The results indicate that three layers identified in the structure contribute to the understanding of the boundaries, units, and analytical focus of the BIM ecosystem, with the BIM platform being the core layer. This topology structure, with the BIM platform as the hub, promotes interdependency and symbiosis among participants in the cultivation of the BIM ecosystem, supporting the birth, expansion, maturity, re-innovation (or extinction), and sustainable development of the BIM ecosystem. This research complements and extends literature on the BIM ecosystem, and provides implications as to the construction, cultivation, and sustainability of BIM ecosystems for emerging economy firms.