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India is a rapidly urbanizing developing country with a population of 1.4 Billion. Indian governments have invested USD 50 Billion) in metro rail projects in 18 cities. Metro constructions are multi-stakeholder mega-projects and are prone to a variety of risks. The purpose of this paper is to analyze the risks involved in metro rail construction projects in a densely populated developing country for two types of systems and from two perspectives. Current literature lacks an understanding of similarities and differences in the risks involved in underground and elevated metro projects from clients' and contractors' perspectives, which the paper highlights.

A total of twenty-five risks were identified, categorized and assessed through experts' opinions about the impact and probability of occurrence of the risks through a questionnaire-based survey. The survey respondents included experts in metro rail construction from client and contractor sides. Paper uses a Fuzzy Inference System to calibrate risk magnitude from occurrence probability and impact.

A notable difference was observed in the views of clients and contractors, except for certain common risks. Both stakeholders had different risk perceptions for the underground and elevated metro rail systems.

This study contributes to the risk assessment for different types of metro systems. This research can help policymakers as well as consultants in prioritizing their risk management strategies in developing countries like India.

Highlighting the critical aspects of risks in metro projects in a developing country, this paper also provides system-based and stakeholder-based comparative aspects of risk analysis.

The purpose of this paper is to identify and analyze the interdependence of project complexity factors (PCFs) in metro rail projects using the Decision-Making Trial and Evaluation Laboratory (DEMATEL). The study provides qualitative and quantitative analysis of project complexities factors and their relationships. The results of the study facilitate effective project planning, proactive risk management and informed decision-making by stakeholders.

This study employs a case-based method for identifying PCFs and a DEMATEL method for analyzing the interdependence of complexity factors in metro rail projects. Initially, PCFs were identified through an extensive literature review. To validate and refine these factors, semi-structured interviews were conducted with thirty experienced professionals, each having 5–20 years of experience in roles such as project management, engineering, and planning. Further, elevated and underground metro rail projects were purposefully selected as cases, for identifying the similarities and differences in PCFs. A questionnaire survey was conducted with various technical experts in metro rail projects. These experts rated the impact of PCFs on a five-point Likert scale, for the evaluation of the interdependence of PCFs. The DEMATEL technique was used to analyze the interdependencies of the PCFs.

Metro rail projects are influenced by project complexity, which significantly impacts their performance. The analysis reveals that “design problems with existing structures,” “change in design or construction” and “land acquisition” are the key factors contributing to project complexity.

The study of project complexity in metro rail projects is limited because most of the studies have studies on examining complexity in mega projects. The existing literature lacks adequate attention in identifying project complexity and its effects on metro rail project performance. This research aims to bridge this gap by examining project complexity and interdependencies in metro rail projects.

Infrastructure projects play a vital role in the development of countries' economies. However, these projects, notably underground ones, are encountering growing claims as they are subject to many unknowns. Without having a clear insight into the causes of claims and their influence on one another, it is not possible to mitigate their adverse impacts on these projects' goals. To this aim, the main purpose of this study is to identify the critical paths leading to cost claims for underground metro projects.

First, causes of claims were identified through a literature review and then refined to 22 main causes according to the opinions of 148 Iranian experts. A qualitative system dynamics (SD) model was then provided to visualize how various causes interact with each other. The model was developed and validated by drawing on the expertise of industry-related experts, and the critical paths were finally recognized based on their frequency and severity indexes.

The findings revealed that each cause should be evaluated based on their connections with others as there are complex relations among the causes. It was also shown that the major claim paths among others were initiated due to ambiguous contract clauses, unforeseen physical conditions and land handover problems.

The findings of this study provide a better insight into how various causes of claims for underground metro projects are related to each other and can eventually assist project managers of different parties, even in other countries, to select proportional strategies to mitigate their adverse impacts.

The purpose of this research is to develop a project complexity index (PCI) model using the best and worst method (BWM) to quantitatively analyze the impact of project complexities on the performance of metro rail projects.

This study employed a two-phase research methodology. The first phase identifies complexities through a literature review and expert discussions and categorizes different types of complexities in metro rail projects. In the second phase, BWM, a robust multi-criteria decision-making (MCDM) technique, was used to prioritize key complexities, and a PCI model was developed. Further, the developed PCI was validated through case studies, and sensitivity analysis was performed to check the accuracy and applicability of the developed PCI model.

The analysis revealed that location complexity exerted the most substantial influence on project performance, followed by environmental, organizational, technological and contractual complexities. Sensitivity analysis revealed the varying impacts of complexity indices on the overall project complexity.

The study's findings offer a novel approach for measuring project complexity's impact on metro rail projects. This allows stakeholders to make informed decisions, allocate resources efficiently and plan strategically.

The existing studies on project complexity identification and quantification were limited to megaprojects other than metro rail projects. Efforts to quantitatively study and analyze the impact of project complexity on metro rail projects are left unattended. The developed PCI model and its validation contribute to the field by providing a definite method to measure and manage complexity in metro rail projects.

This study provides an integrated risk-based cost and time estimation approach for deep excavation projects. The purpose is to identify the best practices in recent advances of excavation risk analysis (RA) and integrate them with traditional cost and time estimation methods.

The implemented best practices in this research are as follows: (1) fault-tree analysis (FTA) for risk identification (RI); (2) Bayesian belief networks (BBNs), fuzzy comprehensive analysis and Monte Carlo simulation (MCS) for risk analysis; and (3) sensitivity analysis and root-cause analysis (RCA) for risk response planning (RRP). The proposed approach is applied in an actual deep excavation project in Tehran, Iran.

The results show that the framework proposes a practical approach for integrating the risk management (RM) best practices in the domain of excavation projects with traditional cost and time estimation approaches. The proposed approach can consider the interrelationships between risk events and identify their root causes. Further, the approach engages different stakeholders in the process of RM, which is beneficial for determining risk owners and responsibilities.

This research contributes to the project management body of knowledge by integrating recent RM best practices in deep excavation projects for probabilistic estimation of project time and cost.

The purpose of this paper is to apply the theory of sociomateriality to exhibit how the social and material are entangled and (re)configured over time and in practice in a particular organization of study.

The authors conduct an ethnographic case study of the North-South metro line project in Amsterdam and use the methods of participant-observation, in-depth interviewing and a desk study.

The authors showcase the process of sociomaterial entanglement by focussing on the history and context of the project, the agency and performativity of the material and sociomaterial (re)configuration via ritual performance. The authors found the notion of performativity not only concern the enactment of boundaries between the social and material, but also the blurring of such boundaries.

Sociomateriality theory remains difficult to grasp. The implication is the need to provide new lenses to engage this theory empirically.

The authors provide a multi-layered lens for organization researchers to engage sociomateriality theory at a contextual, organizational and practice level.

Insights from a historical and contextual perspective can help practitioners to become aware of the diverse and dynamic ways in which social and material entities are entangled and (re)configured over time and in practice.

The authors provide a unique empirical account to exhibit the entanglement and (re)configuration between the social and material in a particular organization of study. This paper studies a tangible organizational setting whereas prior research in sociomateriality mainly focussed on routines in IT and IS. Finally, the authors suggest the ethnographic method to study sociomaterial entanglement from a historical and contextual perspective.

New services design and development are difficult to plan, execute, measure and evaluate. Particularly, new services that are capital-intensive and involve a long gestation and development time are considered extremely risky. The purpose of this paper is to discuss a list of innovative practices in various managerial aspects in designing, planning and development of a large scale infrastructure intensive public transportation service. A contemporary new public transportation service development is discussed as evidence of proven and benchmarked criteria.

This is a technical paper, where theoretical foundations of best practices in new service development project are discussed and supported by practice-based evidences from a real-life urban transportation project. A case study approach is adopted with secondary data.

Worldwide during and after economic recession of 2008, several projects were stalled or abandoned. The inference through this work is that through efficient management practices, a large capital-intensive new service development project can be made successful even during a turbulent economy in a region marred by more challenges than elsewhere.

Several issues in large scale services development, such as urban transportation are domain specific. Some of the issues faced in urban transportation are common to several Gulf countries; therefore the policy guidelines, managerial practices and development strategies reported in this paper can be replicated in many of them. The commercial impact of the service project is a significant drive towards fuel conservation and to save huge amounts of productive time.

Public transportation with a high quality of networked service improves the quality of life to a large extent. Unless certain measurable demands are not met, an affluent society is less likely to endorse public transportation. In addition, endorsement of public transportation is been promoted in several parts of the world as a drive towards a green, energy efficient, low-carbon emission and sustainable environment.

To the best of the authors’ knowledge, new services planning and development is a key operations management topic, on which very little is written about. Particularly no other paper has presented a real-world large scale infrastructure intensive project development to this detail, and along with a theoretical background to benchmark performance and development practices.

This paper aimed to study the optimal way to implement and subsequently manage the new metropolitan lines in the Kuwait city as well as to justify them from a social and economic-financial viability standpoint and the most important aspects of transport infrastructure projects viability. The implementation of new modes of transport in an urban environment requires the study of several factors that allow their incorporation on the transport system in the most efficient method. These factors include reviewing the organization of the transport system. The concept of transport system organization, financing models and common trends was defined. Finally, the Public Transport Authority was created to define global objectives and establish specific policies to achieve them was suggested.

After the analysis of the “status quo” of transport systems organization, the financing and management schemes, both infrastructure projects and the provision of rail service were analysed. The characteristics of the PPP scheme (Public–Private Participation) contract, advantages and disadvantages, its structure, and the definition and share of risk (matrix of risk, rights and obligations of the parties) as a key element of the PPP contracts were defined. From this point onwards, the legal framework in force in Kuwait was analysed, particularly the administrative and commercial regulations applying to this project and the authors verified that the economic-financial viability analysis suggested before can be established under this framework.

For the viability of these alternatives, the authors developed a simulation economic-financial model that reflects Financial Statements for the “Society Vehicle Project” and are considered some minimum thresholds of profitability, both from the viewpoint of the partners sponsoring the project as from the standpoint of lenders, which make attractive participation of private initiative. Finally, there was a short socio-economic analysis to justify the project implementation from a social standpoint. It analyses and quantifies the reduction of operating expenses of other modes of transport, travelling times, accident rates, environmental pollution etc. All these factors affect the quality of life of the population of Kuwait and are the main reason to carry out this project. Several recommendations were raised that aimed at preparing the projects, bidding and selection of private partner and the articulation and implementation of projects.

This research contributes to the existing body of knowledge through setting the framework for metro projects in arid regions with the hottest temperature on Earth such as Kuwait where such projects are missing completely. This work will be very helpful to governments and municipalities in taking investment decisions. It sets the strategy for utilizing the best of decision-making theory, identifying the reliability advantages and finding the larger economic effects. This work identified, through the analysis of alternative management options generally used in underground and rail projects in different parts of the world, the most convenient alternative in developing countries. It also clearly showed, through the analysis carried out on governmental contributions, how to obtain economic viability for such types of projects. Finally, it helped drawing a roadmap for preparing the projects, bidding and selection of private partner and the articulation and implementation of projects in Kuwait and Gulf Cooperation Countries (GCC).

In shield tunneling projects, human, shield machine and underground environment are tightly coupled and interacted. Accidents often occur under dysfunctional interactions among them. Therefore, this paper aims to develop a multi-agent based safety computational experiment system (SCES) and use it to identify the main influential factors of various aspects of human, shield machine and underground environment.

The methods mainly comprised computational experiments and multi-agent technologies. First, a safety model with human-machine-environment interaction consideration is developed through the multi-agent technologies. On this basis, SCES is implemented. Then computational experiments are designed and performed on SCES for analyzing safety performance and identifying the main influential factors.

The main influential factors of two common accidents are identified. For surface settlement, the main influential factors are ranked as experience, soil density, soil cohesion, screw conveyor speed and thrust force in descending order of influence levels; for mud cake on cutter, they are ranked as soil cohesion, experience, cutter speed and screw conveyor speed. These results are consistent with intuition and previous studies and demonstrate the applicability of SCES.

The proposed SCES provides comprehensive risk factor identification for shield tunneling projects and also insights to support informed decisions for safety management.

A safety model with human-machine-environment interaction consideration is developed and computational experiments are used to analyze the safety performance. The novel method and model could contribute to system-based safety research and promote systematic understanding of the safety performance of shield tunneling projects.

The purpose of this paper is to initially evaluate the most current and important complications of sustainable mega rail transportation projects. This purpose is assisted by thoroughly reviewing the foremost uncertainties and challenging issues of STI. Once these factors are established, they will be the base of STI indicators. Finally, to consolidate such alignment, the Sydney Metro and Melbourne Metro are then compared and analyzed. The analysis would then create a platform to measure sustainability and relevant complexities in mega rail transportation projects.

To further consolidate such hypothesis, this research investigated two mega rail transportation projects in Australia. Both Sydney Metro and Melbourne Metro Rail were selected as the basis of case study, as both possess similar sustainability aspects.

As an outcome this research found that, complexities in both of these projects were based on future challenges and opportunities including imperfect equalization or not balancing all the four sustainability indicators; and where and how to emphasize the overlapping of these four indicators. In summary, these findings can assist the relevant planners, to better prepare and manage mega railway infrastructure and their operations.

While the sustainability for transportation infrastructure has been covered extensively by other authors, this paper strengthens the four specific and separate STI indicators – especially for mega rail infrastructure. Although, there are some crossover areas within these indicators, however, this research separately validates each as an independent entity. Commonly, there are three dimensions within the sustainability domain – environmental, economical and social. Nevertheless, for this research, a fourth dimension engineering which includes all the technical focus, has been separately developed. This is particularly important to effectively deal with all the complexities, particularly for mega projects, such as rail transportation infrastructure. Accordingly, separating the engineering dimension would thus reshape the triple bottom line factors to include a separate technical focus. To further evaluate this separation of the four specific areas, two mega Australian rail transportation projects are then reviewed as experiments.