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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.

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.

Despite the fact that extensive studies on public-private partnerships have focused on risk identification and classification, research still lacks concentration on studying the latent structure of risks in build operate transfer (BOT) transportation projects, especially in developing countries. The research was carried out in Vietnam and this paper aims to explore the underlying relationships among risks in the context of BOT transportation projects.

A questionnaire survey was conducted to investigate the perception of stakeholders regarding the probability of occurrence and the severity of the impact of risks related to BOT transportation projects. Factor analysis was performed based on a total of 40 risks.

Seven risk groups were formed as a result of factor analysis, namely, “projects’ viability and political-regulatory risks”, “macroeconomic risks”, “projects’ feasibility study and market risks”, “financial risks”, “organization/coordination and force majeure risks”, “tolling, contractual, approvals risks” and “media and land expropriation risks”.

The research contributes to the current body of knowledge by providing deep insight into the structure of risks in BOT transportation projects in Vietnam through exploring the underlying relationships among risks, to form a latent risk structure from practical viewpoints. The findings are beneficial for involved stakeholders and policymakers to set up and propose suitable management strategies and related policies.

This research presents a multiproject scheduling and resource management (MPSRM) model that includes an M/M/c/n queue system, a p-hub median model, a parallel machine scheduling and a hub location problem solution method. This research aims to design a project network and then sequence raw materials delivery to hub factories.

This research is implemented as a case study in construction and industrial company. It considers several mines to supply raw materials for production in hub factories. In the sequencing phase, a parallel mine scheduling problem specifies the delivery of raw materials to hub factories. Furthermore, a multisource project scheduling model is studied and designed for building project-oriented companies.

The results suggest that the proposed MPSRM model in this study significantly reduces project transportation costs. Therefore, creating accurate planning in projects, especially in construction projects where transportation plays an important role, can help reduce time and costs. Researchers, project managers and those dealing with projects can use this model to exploit their projects.

When the number of construction projects in a construction company increases in a region, choosing an appropriate strategy to supply resources and raw materials becomes very important in terms of profit and loss and project completion as scheduled. An increase in transportation demands alongside the economic development on the one hand and providing competitive transportation services, on the other hand, have increasingly spotlighted the significance of hub networks in transportation systems. In addition, in this research, there is no suitable access road from the mines to the project sites, and considering the workload, if any of the projects become a hub, a proper road should be built.

To the best of the knowledge, there is no outstanding research in which a p-hub median location problem by considering queuing model and different transportation modes and a parallel machine scheduling problem are studied simultaneously.

This paper explores the impact of both government subsidies and decision makers' loss-averse behavior on the determination of transportation build-operate-transfer (BOT) concession periods based on cumulative prospect theory (CPT). The prospect value of a transportation project under traffic risk can be formulated according to the value function for gains and losses and the decision weight for gains and losses. As an extra income for investors, government subsidy is designed for highly risky aspects of BOT transportation projects: uncertain initial traffic volumes and fluctuating growth rates.

A decision-making model determining the concession period of a transportation BOT project is proposed by using the Monte-Carlo simulation method based on CPT, and the effects of risky behaviors of private investors on concession period decision making are analyzed. A subsidy method related to the internal rate-of-return (IRR) corresponding to a specific initial traffic volume and growth rate is proposed. The case of an actual BOT highway project is examined to illustrate how the method proposed can be used to determine the concession period of a transportation BOT project considering decision makers' loss-averse behavior and government subsidy. Contingency analysis is discussed to cope with possible misestimating of key factors such as initial traffic volume and cost coefficients. Sensitivity analysis is employed to investigate the impact of CPT parameters on the concession period decisions. An actual BOT case which failed to attract private capital is introduced to show the practical application. The results are then interpreted to conclude this paper.

Based on comparisons drawn between a concession period decision-making model considering the psychological behaviors of decision makers and a model not considering them, the authors conclude that the concession period based on CPT is distinctly different from that of the loss-neutral model. The concession period based on CPT is longer than the loss-neutral concession period. That is, loss-averse private investors tend to ask for long concession periods to make up for losses they will face in the future. Government subsidies serve as extra income for investors, allowing appointed profits to be secured sooner. For the benefit side of contingency variables, the normal state of initial traffic volume, average annual traffic growth rate and bias degree and the government subsidy need to be paid close attention during the project life span. For the cost side of contingency variables, the annual operating cost variable has a significant impact on the length of predicted concession period, while the large-scale cost variable has minor impact.

With an actual BOT highway project, the determination of transportation BOT concession periods based on the psychological behaviors of decision makers is analyzed in this paper. As the psychological behaviors of decision makers heavily impact the decision-making process, the authors analyze their impacts on concession period decision making. Government subsidy is specifically designed for various states of initial traffic volume and fluctuating growth rates to cope with corresponding high risks and mitigate private investors' loss-averse behaviors. Contingency analysis and sensitivity analysis are discussed as the estimated values of parameters may not be authentic in actual situations.

The Built Operate Transfer (BOT) model has been increasingly used in transportation investments in Vietnam. However, there is still an inadequacy of risk management applications in these projects and lack of research in this area. The study aims to improve the success of projects implemented through the BOT model in Vietnam.

The study followed a sequential design including interviews and a questionnaire survey to investigate the perception of stakeholders from public and private sector regarding the probability of occurrence and the severity of impact of risks in BOT transportation projects in Vietnam. Quantitative data from the survey was subjected to descriptive and inferential statistics to explore the priority of risks as well as the differences in the perception between the public and private sectors.

The results showed that the top five most significant risks in BOT transportation projects in Vietnam are: (1) problems with land acquisition and compensation, (2) inappropriate location of toll booths, (3) public resistance to pay, (4) high toll rate and (5) lack of cash flow. With the exception of “lack of cash flow,” there were no statistically significant differences in the rankings of individual risks between the public and private sector. In addition, there is a significant positive correlation in the overall rankings of all risks for both sectors.

This study contributes to the body of knowledge by exploring the probability of occurrence and the severity of the impact of risks in BOT transportation projects in a developing country like Vietnam which has not been extensively explored yet. Second, it provides an insight into the perception of stakeholders from the public and private sector regarding the level of risks which is very useful for potential stakeholders in making decisions when they intend to participate in such partnerships. Third, it enables the Vietnamese government to establish suitable policies related to such projects. These contributions are very important in improving risk management in PPPs in developing countries.

In build-operate-transfer (BOT) transportation projects, design and construction phases are critical in terms of their effect on time and cost overruns. The purpose of this paper is to identify the role of risk factors affecting these phases and their significance level for BOT transportation projects.

Design and construction risks were determined and then validated by focus group discussions. Afterwards, an illustrated case study was presented to better understand the effects of determined risks in a BOT mega transportation project. As the last step of the study, the fuzzy analytical hierarchy process method was used to prioritize risk factors.

The prominent risk factors were found out as occupational accidents, integration between design and construction phases and excessive design variations.

Different kinds of BOT transportation projects in different countries might be executed very differently considering specific social, political, economic and other factors. However, the results of the study are important in terms of the specific lessons learned from the case study that can be used as a foundation for developing possible risk mitigation measures.

Though the risk management of BOT projects has been investigated frequently in the literature, there is a knowledge gap in the quantitative evaluation of risk significance specific to design and construction risks. The prioritization of determined risks with an associated case from a mega transportation project will contribute to the BOT project practitioners about possible challenges in design and construction phases in BOT mega transportation projects.

According to the Federal Highway Administration (FHWA), and based on its professional judgment, it typically takes from 9 to 19 years to plan, gain approval for, and construct a new, major federally funded highway project that has significant environmental impacts. However, these projects constitute only 3 percent of all federally funded projects, according to FHWA. Officials in federal and state agencies and other knowledgeable organizations indicate that delivering larger, more complex or controversial projects may take longer to complete than is typical for most highway projects. In addition to needing more time because of their size and complexity, they often take longer to complete because they must comply with more federal and state requirements and because of the public interest that they may generate. Federal and state agencies have undertaken several initiatives to improve completion times for highway construction projects. Most of these initiatives address opportunities for reducing the time required to obtain environmental approvals.

The purpose of this paper is to explore the benefits of visual management (VM) systems in transportation construction projects in England.

Following a comprehensive literature review, the benefits of VM were investigated through action and case study research executed within two construction projects in England.

The main findings are: VM can contribute to increased self-management, better team coordination, better promises or an increasing plan percent complete, easier control for the management and improved workplace conditions in the transportation sector. It is important for the management to obtain the engagement of their workforce for VM through increased participation and show the actual benefits. However, managerial monitoring and control on the systems should not be underestimated.

The transportation sector in England has been systematically deploying Lean construction techniques in its operations for a while. One of those Lean techniques is a close-range visual communication strategy called VM. The literature on the VM implementation in construction is scarce and generally limited to the building construction context. This paper documents the benefits of VM systems for the transportation sector by using data captured through both qualitative and quantitative data collection methods. The paper also identifies a set of recommendations for similar research efforts in the transportation context in the future.

In the aftermath of hurricanes, the damage levied on transportation infrastructures increases the timeliness of emergency responses and recovery procedures, making it essential that they are reconstructed as quickly as possible – on time and within budget. The aim of this study was to determine significant performance indicators (PIs) that considerably affect cost and schedule performance as well as reworks in post–hurricane reconstruction of transportation infrastructure including highways, bridges, roadways, etc. Additionally, the determined PIs were clustered to investigate key components.

The root causes of reconstruction projects' poor performance were identified through the existing literature, and 30 transportation infrastructure case studies were analyzed to determine the significant PIs that corresponded to cost, schedule performance and reworks. The factor analysis method was used to cluster the significant PIs and determine the key components affecting them.

Eight key components were found for cost, eight for schedule performance and six for reworks. The key components of cost performance are shortage of resources, information management, coordination, safety, location, quality of materials, quality of resources and project complexity. The key components of reconstruction schedule performance are human resources, risk management, work suspension, material resources, productivity, on-site inspections, geometrical characteristics and level of reconstruction complexity. The six key components of reconstruction reworks are logistic management, pace of decision-making, accommodation for staff, environmental issues, available temporary paths and volume of debris.

The outcomes of this research will assist authorities and decision makers in identifying and evaluating the critical root causes of poor cost performance, poor schedule performance and reworks and will enable them to facilitate the timely and effective allocation of resources.