Search results

This paper seeks to identify policy and regulatory bottlenecks that need to be overcome in order to stimulate private sector investment in backbone networks in selected African countries (Côte d'Ivoire, Ethiopia, Kenya, South Africa and Uganda).

It does so by exploring policy and regulatory frameworks and market structures that influence investment decisions on backbone infrastructure roll‐out; it investigates models and strategies adopted by the public sector to finance national backbone infrastructure; and it provides recommendations on how to stimulate private investment in backbone roll‐out by creating an enabling policy and regulatory environment.

Research findings show that the telecommunications sector in the selected African countries has witnessed the return of state‐led investment in the roll‐out of fibre backbones. The rationale for state‐led intervention has often been cited as market failure regarding investment in broadband backbone roll‐out. However, many of the policy and regulatory barriers to market entry remain, including protectionist legislation, which has limited private sector participation in investing in backbone.

The reality is that African governments are maintaining control over national backbones and, in some markets where the telecommunications infrastructure sector has been liberalised, the state‐owned operators may enter into direct competition with the private sector or may delay delivery by the private sector.

The value of the paper is that it provides evidence on how to improve the roll‐out and extension of national broadband backbone networks through the development of a policy and regulatory framework which facilitates private sector investment in this sector. The paper also makes recommendations to governments for the facilitation of private investment in backbone networks through the development of an enabling policy and regulatory environment.

Resource allocation is essential to infrastructure management. The purpose of this study is to develop a methodological framework for resource allocation that takes interdependencies among infrastructure systems into consideration to minimize the overall impact of infrastructure network disruptions due to extreme events.

Taking advantage of agent-based modeling techniques, the proposed methodology estimates the interdependent effects of a given infrastructure failure which are then used to optimize resource allocation such that the network-level resilience is maximized.

The findings of the study show that allocating resources with the proposed methodology, where optimal infrastructure reinforcement interventions are implemented, can improve the resilience of infrastructure networks with respect to both direct and interdependent risks of extreme events. These findings are also verified by the results of two case studies.

As the two case studies have shown, the proposed methodological framework can be applied to the resource allocation process in asset management practices.

The proposed methodology improves the resilience of the infrastructure network, which can alleviate the social and economic impact of extreme events on communities.

Capitalizing on the combination of agent-based modeling and simulation-based optimization techniques, this study fulfills a critical gap in infrastructure asset management by incorporating infrastructure interdependence and resilience concepts into the resource allocation process.

The purpose of this paper is to present a novel approach that examines the vulnerability and interdependency of critical infrastructures using the network theory in geographic information system (GIS) setting in combination with literature and government reports. Specifically, the objectives of this study were to generate the network models of critical infrastructure systems (CISs), particularly electricity, roads and sewerage networks; to characterize the CISs’ interdependencies; and to outline the climate adaptation (CA) and flood mitigation measures of CIS.

An integrated approach was undertaken in assessing the vulnerability and interdependency of critical infrastructures. A single system model and system-of-systems model were operationalized to examine the vulnerability and interdependency of the identified critical infrastructures in GIS environment. Existing CA and flood mitigation measures from government reports were integrated in the above-mentioned findings to better understand and gain focus in the implementation of natural disaster risk reduction (DRR) policies, particularly during the 2010/2011 floods in Queensland, Australia.

Using the results from the above-mentioned approach, the spatially explicit framework was developed with four key operational dimensions: conceiving the climate risk environment; understanding the critical infrastructures’ common cause and cascade failures; modeling individual infrastructure system and system-of-systems level within GIS setting; and integrating the above-mentioned results with the government reports to increase CA and resilience measures of flood-affected critical infrastructures.

While natural DRR measures include preparation, response and recovery, this study focused on flood mitigation. Temporal analysis and application to other natural disasters were also not considered in the analysis.

By providing this information, government-owned corporations, CISs managers and other concerned stakeholders will allow to identify infrastructure assets that are highly critical, identify vulnerable infrastructures within areas of very high flood risk, examine the interdependency of critical infrastructures and the effects of cascaded failures, identify ways of reducing flood risk and extreme climate events and prioritize DRR measures and CA strategies.

The individualist or “pigeon-hole” approach has been the common method of analyzing infrastructures’ exposure to flood hazards and tends to separately examine the risk for different types of infrastructure (e.g. electricity, water, sewerage, roads and rails and stormwater). This study introduced an integrated approach of analyzing infrastructure risk to damage and cascade failure due to flooding. Aside from introducing the integrated approach, this study operationalized GIS-based vulnerability assessment and interdependency of critical infrastructures which had been unsubstantially considered in the past analytical frameworks. The authors considered this study of high significance, considering that floodplain planning schemes often lack the consideration of critical infrastructure interdependency.

The internet of things (IoT) is becoming an increasingly inescapable part of society. IoT paradigm cannot function without the networking infrastructure. High-speed data networks are essential to enable the IoT future. Thus, the purpose of this study is on the identification of risks that influence the development, installation and operation of information and communication technology (ICT) infrastructure network project cost outcomes. So far, there has been little attention has been paid to risks problems in these types of IoT enabling projects.

This research follows a quantitative analysis approach. Data for this study were collected by a survey from 209 professionals. Multiple regression analysis was used to model the relationship between risks and outturn cost of infrastructure needed to enable the operation of IoT technologies.

The main risk factors that were identified were planning and development, people and management, operations, technology and hardware.

This research has expanded the existing literature by documenting and clustering ICT infrastructure network project risks into themes, and has developed a scale (risk statements) for measuring such risks. Further, the research has advanced the understanding by identifying the most likely risks that will contribute to the overrun of these projects.

This research establishes a reliable regression method for the assessment of the risks that influence the development, installation and operation of ICT infrastructure network projects outturn cost. No other research has measured or studied the risks in this type of project.

In recent years, many municipalities have made investments in fiber to the home/building (FTTH/B) infrastructures to enhance the digital future of their local communities. This paper aims to propose a business model for managing these municipal FTTH/B networks. The paper also seeks to form a part of the discussion on the business, social and policy implications of municipal involvement in physical broadband infrastructures.

The paper reviews the international experience in municipal FTTH projects and identifies the best practices. Greece is then used as a case study due to the country's strategic plans to create efficient broadband infrastructures in the periphery of the country. Finally, the municipal business model is examined on three premises: the extent of horizontal integration; the degree of vertical integration; and the appropriate form of ownership.

The passive infrastructure model applied within the model presented has strong potentials to ensure fair and open competition. The proposed business model exhibits substantial benefits for the telecommunications industry, the local communities and the managing company. It could become an effective policy tool for future regulation, broadband universal service framework, socially optimal investments and social inclusion.

The paper contributes to the international debates regarding the adoption of the “highway” model (“open access”) versus “vertical integration” and the suitability of public‐private partnership (PPP) as a method for developing and operating FTTH/B networks. It also contributes to the discussion about the implications of the public sector's involvement in broadband infrastructure development.

The purpose of this paper is to develop a novel risk analysis method named fuzzy critical risk analysis (FCRA) for assessing the infrastructure risks from a risk-community network perspective. The basis of this new FCRA method is the integration of existing risk magnitude analysis with the novel risk impact propagation analysis performed in specific infrastructure systems to assess the criticality of risk within specific social-infrastructure interrelated network boundary.

The FCRA uses a number of scientific methods such as failure mode effect and criticality analysis (FMECA), social network analysis (SNA) and fuzzy-set theory to facilitate the building of risk evaluation associated with the infrastructure and the community. The proposed FCRA approach has been developed by integrating the fuzzy-based social network analysis (FSNA) method with conventional fuzzy FMECA method to analyse the most critical risk based on risk decision factors and risk impact propagation generated by various stakeholder perceptions.

The application of FSNA is considered to be highly relevant for investigating the risk impact propagation mechanism based on various stakeholder perceptions within the infrastructure risk interrelation and community networks. Although conventional FMECA methods have the potential for resulting in a reasonable risk ranking based on its magnitude value within the traditional risk assessment method, the lack of considering the domino effect of the infrastructure risk impact, the various degrees of community dependencies and the uncertainty of various stakeholder perceptions made such methods grossly ineffective in the decision-making of risk prevention (and mitigation) and resilience context.

The validation of the model is currently based on a hypothetical case which in the future should be applied empirically based on a real case study.

Effective functioning of the infrastructure systems for seamless operation of the society is highly crucial. Yet, extreme events resulted in failure scenarios often undermine the efficient operations and consequently affect the community at multiple levels. Current risk analysis methodologies lack to address issues related to diverse impacts on communities and propagation of risks impact within the infrastructure system based on multi-stakeholders’ perspectives. The FCRA developed in this research has been validated in a hypothetical case of infrastructure context. The proposed method will potentially assist the decision-making regarding risk governance, managing the vulnerability of the infrastructure and increasing both the infrastructure and community resilience.

The new approach developed in this research addresses several infrastructure risks assessment challenges by taking into consideration of not only the risk events associated with the infrastructure systems but also the dependencies of various type communities and cascading effect of risks within the specific risk-community networks. Such a risk-community network analysis provides a good basis for community-based risk management in the context of mitigation of disaster risks and building better community resilient.

The novelty of proposed FCRA method is realized due to its ability for improving the estimation accuracy and decision-making based on multi-stakeholder perceptions. The process of assessment of the most critical risks in the hypothetical case project demonstrated an eminent performance of FCRA method as compared to the results in conventional risk analysis method. This research contributes to the literature in several ways. First, based on a comprehensive literature review, this work established a benchmark for development of a new risk analysis method within the infrastructure and community networks. Second, this study validates the effectiveness of the model by integrating fuzzy-based FMECA with FSNA. The approach is considered useful from a methodological advancement when prioritizing similar or competing risk criticality values.

Shows that some national governments’ policy to promote specific market structures have either proved ineffective (France) or increased entry barriers, likely to raise industry cost (Spain). Argues high‐speed cable modems are the way forward for the future. Concludes, in order to achieve long‐term efficiency, the regulator should promote a mix of infrastructure and service competition to enable viability in the long term.

Business process redesign (BPR) is a management technique to radically transform organizations for dramatic improvement. Information technology (IT) plays a critical role in BPR. The present study examines the links between IT infrastructure and BPR. The moderating effects of industry type, and information intensity of the firm are also analyzed. Data for the study were gathered through a survey of Fortune 500 US firms at divisional levels. Out of 1,200 questionnaires mailed to Fortune500 firm‐divisions, 124 responses were received. Out of 124 firm‐divisions 73 firm‐divisions were found to be adopting BPR techniques; 39 firm‐divisions were found to be adopting incremental improvement approaches. The rest of the responses were incomplete and could not be used. For data analysis, therefore, only 73 firm‐divisions were considered. The results of the study support the hypotheses that network infrastructure affects the dimensions of BPR (process improvement thrust, and customer focus), but data integration was not found to be significantly affecting the BPR dimensions. The moderating effect of industry type was found to be significantly affecting the relationship between network infrastructure and BPR dimensions. Other relationships were not found to be significant.

Public policy requires effective identification of the current and emerging issues being faced in industry and beyond. This paper aims to identify a set of key issues currently facing digital communications and reviews their relevance for the strategic provision of infrastructure, particularly within the UK context.

The methodology focusses on taking a horizon-scanning approach to obtaining current information from a range of authoritative decision makers across industry, government and academia. After structuring the issues identified, these areas are explored by a multi-disciplinary research team covering engineering, economics and computer science.

Five key categories were identified including future demand; coverage and capacity; policy and regulation; economics and business models; and technology. The results are reported for both fixed and wireless networks. Shared issues affecting the wider digital ecosystem are also identified including Brexit, connecting remote areas and the degree to which the economics of infrastructure allows for building multiple overlapping infrastructures. The authors find that future demand uncertainty is one of the major issues affecting the digital communications sector driven by rigid willingness-to-pay, weak revenue and an increasing shift from fixed to wireless technologies. Policy must create the market conditions that encourage the entry of new competitors with innovative thinking and disruptive business models.

A limitation of the analysis is that it is quite UK-focussed; hence, further research could broaden this analysis to assessing issues at a continental or global scale.

The value of this paper originates from the breadth of the expert elicitation exercise carried out to gather the initial set of issues, followed by the analysis of this data by a multi-disciplinary team of researchers. The results direct a future research agenda, as many issues are indicative of a lack of existing evidence to support effective decision-making.

The purpose of this paper is to investigate the current development of public information infrastructure in eastern USA. It proposes discussing lessons learned from four case studies of public information infrastructure projects to gain a better understanding of the challenges and implications of open access for broadband services and to provide a foundation for evaluating the advisability of mandatory open access policies.

Four cases were selected for in‐depth study in the eastern area of the USA. Multiple data collection methods were used – in‐depth face‐to‐face and telephone interviews with people associated directly with the projects.

The study recommends appropriate policy measures that can promote open access.

The case studies shed light on how future public information infrastructures may evolve within the larger context of national and global information infrastructure.