Infrastructure Development of Railway in Cambodia: A Long Term Strategy

Infrastructure development means for the making of living environment, transport and communications, disaster prevention and national land conservation, agriculture, forestry and fisheries, and energy production and supply. Transport infrastructure development in Cambodia involved with (1) road, (2) railway, (3) port, inland-water way and (4) aviation. All model of transport infrastructure have special different kinds of importance. Railway is different from other base important of railways are transport passengers and traffic freight especially transport for heavy goods in huge capacity and in long distance by safer and faster. Transport in Cambodia for traffic freight export import base from Thailand and other via Sisophon and Shihanoukvill port. Traffic is increasing rapidly during nowadays railway condition in adequate of demand required. This is why Railway is selected as the topic of this paper to prevent monopoly of road transport. This paper, does review about infrastructure development plan for Railway in Cambodia as a long term strategy by review and analysis forecast on the previous performance of Royal Railways of Cambodia (RRC) transport traffic involved with condition of infrastructure development of railway in Cambodia. And also review the plan of development RRC but just only detail a plan of rehabilitation that is immediately needed. Suggest some recommendation at the last part. As Cambodia is a member country of ASEAN and also Mekong sub-region. For make sure that transport networks work effectively with a progress of economic integration, we make clear what is important for infrastructure development of railway in Cambodia from the standpoint of the development plan of Mekong sub-region. This paper is organized by 4 sections. Section 1 review about Infrastructure Development of Railway in Cambodia (IDRC) Historical Background, Follow by Section 2 will review the Current Situation of IDRC and some analysis of transport performance from previous years, Then Section 3 review of the focusing on traffic transport of RRC in the future, Section 4 review Infrastructure Development of Railway in Cambodia Future plans in long term; at last conclusion and recommendation. In section 1 does review history background of RRC from the rail first begun. But why is needed to review? Because of history background is involved infrastructure development of RRC in present time. History background made big gaps constraint and obstacle for socioeconomic development and poverty reduction, also left Cambodia with tragedy and left developed behind. After that remain infrastructure development needs huge fund and long time for restoration, reconstruction, rehabilitation and development into new technology as most of world practice.

Infrastructure (Rural Road) Development and Poverty Alleviation in Lao PDR

Rural road in Lao PDR defined as connecting road from village to main road, where it will lead them to market and access to other economic and social service facilities. However, due to mostly rural people accustom with subsistence farming, connecting road seems less important for rural people as their main farming produce is for own consumption rather than markets. After the introduction and implementation of New Economic Mechanism (NEM) since 1986, many rural villages have gradually developed and integrated into market system where people have significantly changed their livelihood with a better system. This progress has significantly contributed in improving income earning of people, better living standard and reduce poverty. The paper aims to illustrate the significant of rural road as connecting road from village to markets or a market access approach of farm produces. It also demonstrates through which approach, rural farmers/people could improve their income earning, develop their farming system, living standard and reduce poverty.

The IDE geographical simulation model : predicting long-term effects of infrastructure development projects

It is important to be able to predict changes in the location of populations and industries in regions that are in the process of economic integration. The IDE Geographical Simulation Model (IDE-GSM) has been developed with two major objectives: (1) to determine the dynamics of locations of populations and industries in East Asia in the long-term, and (2) to analyze the impact of specific infrastructure projects on the regional economy at sub-national levels. The basic structure of the IDE-GSM is introduced in this article and accompanied with results of test analyses on the effects of the East West Economic Corridor on regions in Continental South East Asia. Results indicate that border costs appear to play a big role in the location choice of populations and industries, often a more important role than physical infrastructures themselves.

Infrastructure development and economic growth in China

China is the fastest growing country in the world for last few decades and one of the defining features of China's growth has been investment-led growth. China's sustained high economic growth and increased competitiveness in manufacturing has been underpinned by a massive development of physical infrastructure. In this context, we investigate the role of infrastructure in promoting economic growth in China for the period 1975 to 2007. Overall, the results reveal that infrastructure stock, labour force, public and private investments have played an important role in economic growth in China. More importantly, we find that Infrastructure development in China has significant positive contribution to growth than both private and public investment. Further, there is unidirectional causality from infrastructure development to output growth justifying China's high spending on infrastructure development since the early nineties. The experience from China suggests that it is necessary to design an economic policy that improves the physical infrastructure as well as human capital formation for sustainable economic growth in developing countries.

Commercialization of agriculture in the Himalayas

Increased market integration and commercialization of traditional agriculture in the Himalayas is part of a development strategy towards growth and better standard of living. More than 97 percent households depend upon agricultural and allied activities for livelihood which constitutes 30 percent of the household income. Given the importance of commercialization of agriculture to improve the productivity, per capita income and thereby the standard of living in the Himalayas, we examine the factors affecting the commercialization of agriculture on the basis of primary survey data. The results reveal that the land size, gender of the household head, livestock assets, ethnicity, education and location are important determinants of commercialization. Although commercialization of agriculture is considered as stimulated private-sector activity, public policy is essential to facilitate driving forces viz., trade and market reforms, rural infrastructure, and the institutional framework for legal and contractual arrangements between farmers and processors.

Impacts of tertiary canal irrigation -- impact evaluation of an infrastructure project

We estimate the economic impacts of irrigation using the panel data set from rural Thailand. We employed difference-in-differences estimation and showed that tertiary irrigation has unexpected impacts. Contrary to the local experts predicitions that it should have substantial productivity impacts as it allows better water controls for farmers, we found largely zero profitability impacts. Another unexpected finding is that, while profitability is not affected, we see an increase in cultivation probability with the construction of tertiary canals. This is observed in both wet and dry seasons. This finding suggests that Thai farmers are willing to expand operation scale once they get water.

Geoprocesamiento como Herramienta de Cálculo y Comunicación de Afecciones por Obras Lineales: Líneas Eléctricas de Alta Tensión

Los proyectos de infraestructuras lineales son implantados en el territorio, y la información geográfica de estos proyectos tiene la capacidad de representar la forma, dimensiones y ubicación de estas infraestructuras, así como los límites de las diferentes propiedades que atraviesa. Esta información geográfica ayuda al entendimiento de la afección de la instalación sobre las diferentes propiedades inmuebles, y por otro lado permite cuantificar automáticamente, la magnitud de cada tipo de afección y así utilizarse como mecanismo de notificación formal a los propietarios de las parcelas afectadas. En este trabajo se presenta cómo se ha integrado en el flujo de trabajo de Red Eléctrica de España (REE), las tareas relacionadas con el cálculo de afecciones de las nuevas instalaciones de Alta Tensión, permitiendo visualizar los proyectos mediante: un visor WMS, un globo 3D mediante KML, o como un conjunto de reseñas gráficas de cada parcela. Estas soluciones han permitido optimizar los procesos de cálculo de afecciones y la generación de las Relaciones de Bienes y Derechos (RBD) afectados en distintos formatos: gráficos o alfanuméricos e interactivos 2D y 3D, multiplicándose las posibilidades de automatización y visualización, y produciendo un acercamiento entre el mundo real y el mundo virtual. Linear infrastructure projects are implemented in the territory, and geographic information of these projects has the ability to represent the shape, size and location of these infrastructures, and the limits of the different properties it crosses. This geographic information helps understanding the affection of the installation on different properties, and to automatically quantifies the magnitude of each type of affection and well used as a mechanism to formally notify owners of affected parcels. In this paper we present how the tasks related to the affection calculation of new high-voltage installations is integrated into the workflow of Red Eléctrica de España (REE), allowing to publish and then to see the projects over internet in a standardized way by: WMS viewer, a 3D globe using KML, or review a set of graphs of each parcel. These solutions have allowed us to optimize the processes of calculation of affection and the generation of the Assets and Rights (RBD) affected document across different formats or alphanumeric graphics and interactive 2D and 3D, multiplying the possibilities of automation and visualization, and producing an approach between the real and the virtual world.

Analysis of house prices to assess economic impacts of new public transport infrastructure: Madrid metro line 12.

Transportation infrastructure is known to affect the value of real estate property by virtue of changes in accessibility. The impact of transportation facilities is highly localized as well, and it is possible that spillover effects result from the capitalization of accessibility. The objective of this study was to review the theoretical background related to spatial hedonic models and the opportunities that they provided to evaluate the effect of new transportation infrastructure. An empirical case study is presented: the Madrid Metro Line 12, known as Metrosur, in the region of Madrid, Spain. The effect of proximity to metro stations on housing prices was evaluated. The analysis took into account a host of variables, including structure, location, and neighborhood and made use of three modeling approaches: linear regression estimation with ordinary least squares, spatial error, and spatial lag. The results indicated that better accessibility to Metrosur stations had a positive impact on real estate values and that the effect was marked in cases in which a house was for sale. The results also showed the presence of submarkets, which were well defined by geographic boundaries, and transport fares, which implied that the economic benefits differed across municipalities.

Dynamic Model-based Management of Service-Oriented Infrastructure.

Models are an effective tool for systems and software design. They allow software architects to abstract from the non-relevant details. Those qualities are also useful for the technical management of networks, systems and software, such as those that compose service oriented architectures. Models can provide a set of well-defined abstractions over the distributed heterogeneous service infrastructure that enable its automated management. We propose to use the managed system as a source of dynamically generated runtime models, and decompose management processes into a composition of model transformations. We have created an autonomic service deployment and configuration architecture that obtains, analyzes, and transforms system models to apply the required actions, while being oblivious to the low-level details. An instrumentation layer automatically builds these models and interprets the planned management actions to the system. We illustrate these concepts with a distributed service update operation.

The value of cultural assets. Maintenance Costs and economic sustainability at heritage

Under the 12th International Conference on Building Materials and Components is inserted this communication related to the field of management of those assets that constitute the Spanish Cultural Heritage and maintenance. This work is related to the field of management of those assets that constitute the Spanish Cultural Heritage which share an artistic or historical background. The conservation and maintenance become a social demand necessary for the preservation of public values, requiring the investment of necessary resources. The legal protection involves a number of obligations and rights to ensure the conservation and heritage protection. The duty of maintenance and upkeep exceeds the useful life the property that must endure more for their cultural value for its usability. The establishment of the necessary conditions to prevent deterioration and precise in order to fulfill its social function, seeking to prolong the life of the asset, preserving their physical integrity and its ability to convey the values protected. This obligation implies a substantial financial effort to the holder of the property, either public or private entity, addressing a problem of economic sustainability. Economic exploitation, with the aim of contributing to their well-maintained, is sometimes the best way to get resources. The work will include different lines of research with the following objectives. - Establishment of processes for assessing total costs over the building life cycle (LCC), during the planning stages or maintenance budgets to determine the most advantageous operating system. - Relationship between the value of property and maintenance costs, and establishing a sensitivity analysis.

PEPSI: Privacy-Enhanced Participatory Sensing Infrastructure.

Participatory Sensing combines the ubiquity of mobile phones with sensing capabilities of Wireless Sensor Networks. It targets pervasive collection of information, e.g., temperature, traffic conditions, or health-related data. As users produce measurements from their mobile devices, voluntary participation becomes essential. However, a number of privacy concerns -- due to the personal information conveyed by data reports -- hinder large-scale deployment of participatory sensing applications. Prior work on privacy protection, for participatory sensing, has often relayed on unrealistic assumptions and with no provably-secure guarantees. The goal of this project is to introduce PEPSI: a Privacy-Enhanced Participatory Sensing Infrastructure. We explore realistic architectural assumptions and a minimal set of (formal) privacy requirements, aiming at protecting privacy of both data producers and consumers. We design a solution that attains privacy guarantees with provable security at very low additional computational cost and almost no extra communication overhead.

Infrastructure and Workflow for the Formal Evaluation of Semantic Search Technologies

This paper describes an infrastructure for the automated evaluation of semantic technologies and, in particular, semantic search technologies. For this purpose, we present an evaluation framework which follows a service-oriented approach for evaluating semantic technologies and uses the Business Process Execution Language (BPEL) to define evaluation workflows that can be executed by process engines. This framework supports a variety of evaluations, from different semantic areas, including search, and is extendible to new evaluations. We show how BPEL addresses this diversity as well as how it is used to solve specific challenges such as heterogeneity, error handling and reuse

Infrastructure (Resilience-oriented) Modelling Language: I®ML A proposal for modelling infrastructures and their connections

The modelling of critical infrastructures (CIs) is an important issue that needs to be properly addressed, for several reasons. It is a basic support for making decisions about operation and risk reduction. It might help in understanding high-level states at the system-of-systems layer, which are not ready evident to the organisations that manage the lower level technical systems. Moreover, it is also indispensable for setting a common reference between operator and authorities, for agreeing on the incident scenarios that might affect those infrastructures. So far, critical infrastructures have been modelled ad-hoc, on the basis of knowledge and practice derived from less complex systems. As there is no theoretical framework, most of these efforts proceed without clear guides and goals and using informally defined schemas based mostly on boxes and arrows. Different CIs (electricity grid, telecommunications networks, emergency support, etc) have been modelled using particular schemas that were not directly translatable from one CI to another. If there is a desire to build a science of CIs it is because there are some observable commonalities that different CIs share. Up until now, however, those commonalities were not adequately compiled or categorized, so building models of CIs that are rooted on such commonalities was not possible. This report explores the issue of which elements underlie every CI and how those elements can be used to develop a modelling language that will enable CI modelling and, subsequently, analysis of CI interactions, with a special focus on resilience

Risk sharing with Multilateral Financial Institutions in infrastructure and energy project financing : effect on capital relief for commercial banks

(Matsukawa and Habeck, 2007) analyse the main instruments for risk mitigation in infrastructure financing with Multilateral Financial Institutions (MFIs). Their review coincided with the global financial crisis of 2007-08, and is highly relevant in current times considering the sovereign debt crisis, the lack of available capital and the increases in bank regulation in Western economies. The current macroeconomic environment has seen a slowdown in the level of finance for infrastructure projects, as they pose a higher credit risk given their requirements for long term investments. The rationale for this work is to look for innovative solutions that are focused on the credit risk mitigation of infrastructure and energy projects whilst optimizing the economic capital allocation for commercial banks. This objective is achieved through risk-sharing with MFIs and looking for capital relief in project finance transactions. This research finds out the answer to the main question: "What is the impact of risk-sharing with MFIs on project finance transactions to increase their efficiency and viability?", and is developed from the perspective of a commercial bank assessing the economic capital used and analysing the relevant variables for it: Probability of Default, Loss Given Default and Recovery Rates, (Altman, 2010). An overview of project finance for the infrastructure and energy sectors in terms of the volume of transactions worldwide is outlined, along with a summary of risk-sharing financing with MFIs. A review of the current regulatory framework beneath risk-sharing in structured finance with MFIs is also analysed. From here, the impact of risk-sharing and the diversification effect in infrastructure and energy projects is assessed, from the perspective of economic capital allocation for a commercial bank. CreditMetrics (J. P. Morgan, 1997) is applied over an existing well diversified portfolio of project finance infrastructure and energy investments, working with the main risk capital measures: economic capital, RAROC, and EVA. The conclusions of this research show that economic capital allocation on a portfolio of project finance along with risk-sharing with MFIs have a huge impact on capital relief whilst increasing performance profitability for commercial banks. There is an outstanding diversification effect due to the portfolio, which is combined with risk mitigation and an improvement in recovery rates through Partial Credit Guarantees issued by MFIs. A stress test scenario analysis is applied to the current assumptions and credit risk model, considering a downgrade in the rating for the commercial bank (lender) and an increase of default in emerging countries, presenting a direct impact on economic capital, through an increase in expected loss and a decrease in performance profitability. Getting capital relief through risk-sharing makes it more viable for commercial banks to finance infrastructure and energy projects, with the beneficial effect of a direct impact of these investments on GDP growth and employment. The main contribution of this work is to promote a strategic economic capital allocation in infrastructure and energy financing through innovative risk-sharing with MFIs and economic pricing to create economic value added for banks, and to allow the financing of more infrastructure and energy projects. This work suggests several topics for further research in relation to issues analysed. (Matsukawa and Habeck, 2007) analizan los principales instrumentos de mitigación de riesgos en las Instituciones Financieras Multilaterales (IFMs) para la financiación de infraestructuras. Su presentación coincidió con el inicio de la crisis financiera en Agosto de 2007, y sus consecuencias persisten en la actualidad, destacando la deuda soberana en economías desarrolladas y los problemas capitalización de los bancos. Este entorno macroeconómico ha ralentizado la financiación de proyectos de infraestructuras. El actual trabajo de investigación tiene su motivación en la búsqueda de soluciones para la financiación de proyectos de infraestructuras y de energía, mitigando los riesgos inherentes, con el objeto de reducir el consumo de capital económico en los bancos financiadores. Este objetivo se alcanza compartiendo el riesgo de la financiación con IFMs, a través de estructuras de risk-sharing. La investigación responde la pregunta: "Cuál es el impacto de risk-sharing con IFMs, en la financiación de proyectos para aumentar su eficiencia y viabilidad?". El trabajo se desarrolla desde el enfoque de un banco comercial, estimando el consumo de capital económico en la financiación de proyectos y analizando las principales variables del riesgo de crédito, Probability of Default, Loss Given Default and Recovery Rates, (Altman, 2010). La investigación presenta las cifras globales de Project Finance en los sectores de infraestructuras y de energía, y analiza el marco regulatorio internacional en relación al consumo de capital económico en la financiación de proyectos en los que participan IFMs. A continuación, el trabajo modeliza una cartera real, bien diversificada, de Project Finance de infraestructuras y de energía, aplicando la metodología CreditMet- rics (J. P. Morgan, 1997). Su objeto es estimar el consumo de capital económico y la rentabilidad de la cartera de proyectos a través del RAROC y EVA. La modelización permite estimar el efecto diversificación y la liberación de capital económico consecuencia del risk-sharing. Los resultados muestran el enorme impacto del efecto diversificación de la cartera, así como de las garantías parciales de las IFMs que mitigan riesgos, mejoran el recovery rate de los proyectos y reducen el consumo de capital económico para el banco comercial, mientras aumentan la rentabilidad, RAROC, y crean valor económico, EVA. En escenarios económicos de inestabilidad, empeoramiento del rating de los bancos, aumentos de default en los proyectos y de correlación en las carteras, hay un impacto directo en el capital económico y en la pérdida de rentabilidad. La liberación de capital económico, como se plantea en la presente investigación, permitirá financiar más proyectos de infraestructuras y de energía, lo que repercutirá en un mayor crecimiento económico y creación de empleo. La principal contribución de este trabajo es promover la gestión activa del capital económico en la financiación de infraestructuras y de proyectos energéticos, a través de estructuras innovadoras de risk-sharing con IFMs y de creación de valor económico en los bancos comerciales, lo que mejoraría su eficiencia y capitalización. La aportación metodológica del trabajo se convierte por su originalidad en una contribución, que sugiere y facilita nuevas líneas de investigación académica en las principales variables del riesgo de crédito que afectan al capital económico en la financiación de proyectos.