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Water Consumption, Tariffs and Regulation aims to provide a statistical overview about water abstraction, consumption, tariffs and data on sewage and wastewater treatment at an international level. It is mainly based on the statistical information provided by IWA Specialist Group on Statistics and Economics. The book is structured in three main parts. Part I presents tables and figures relative to water consumption and sanitation status and focuses on water abstraction, water delivered, water consumption and the evolution of sewer connection and wastewater treatment. Part II focuses on the analysis of water tariffs by investigating the structure of water tariffs by analysing the importance of the variable and fixed charge. It presents drinking water tariffs and illustrates the relationship between tariffs and GDP and also the size of the cities. Finally, charges in wastewater are dealt with country by country. Part III analyses the main aspects relative to water regulation and describes the importance of private operators in the management of the water cycle. Information relative to the principles used to fix drinking water prices is presented with an assessment of access to public water services.
Understanding the dynamics of railway vehicles, and indeed of the entire vehicle-track system, is critical to ensuring safe and economical operation of modern railways. As the challenges of higher speed and higher loads with very high levels of safety require ever more innovative engineering solutions, better understanding of the technical issues a
Nearly three years ago, world leaders agreed to the United Nations 2030 Agenda for Sustainable Development and its 17 Sustainable Development Goals (SDGs) – the central framework for guiding development policies throughout the world. This edition of The State of the World’s Forests is aimed at enhancing our understanding of how forests and their sustainable management contribute to achieving several of the SDGs. Time is running out for the world’s forests: we need to work across sectors, bring stakeholders together, and take urgent action. The State of the World’s Forests 2018 identifies actions that can be taken to increase the contributions of forests and trees that are necessary to accelerate progress towards the SDGs. It is now critical that steps be taken to work more effectively with the private sector, and the informal forest sector must be transformed in order to bring broader economic, social and environmental benefits. Seventy years ago, when FAO completed its first assessment of the world’s forest resources, the major concern was whether there would be enough timber to supply global demand; now we recognize the greater global relevance of our forests and trees. For the first time, The State of the World’s Forests 2018 provides an assessment of the contribution of forests and trees to our landscapes and livelihoods. The purpose of this publication is to provide a much wider audience with an understanding of why forests and trees matter for people, the planet and posterity.
Printed collection on 78 full-length, peer-reviewed technical papers. Topics include: Electrification; Energy Efficiency and Sustainability; Planning and Development; Rail Equipment Engineering; Railroad Infrastructure Engineering; Safety and Security; Service Quality and Operations Research; Signal and Train Control Engineering; Vehicle Track Interaction.
This report provides an assessment of how governments can generate inclusive economic growth in the short term, while making progress towards climate goals to secure sustainable long-term growth. It describes the development pathways required to meet the Paris Agreement objectives.
A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering addresses common issues with the implementation of big data applications while exploring the limitations, advantages, and disadvantages of more conventional methods. In addition, the book provides a unifying approach to analyzing large volumes of data in railway track engineering using an array of proven methods and software technologies. Dr. Attoh-Okine considers some of today’s most notable applications and implementations and highlights when a particular method or algorithm is most appropriate. Throughout, the book presents numerous real-world examples to illustrate the latest railway engineering big data applications of predictive analytics, such as the Union Pacific Railroad’s use of big data to reduce train derailments, increase the velocity of shipments, and reduce emissions. In addition to providing an overview of the latest software tools used to analyze the large amount of data obtained by railways, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering: • Features a unified framework for handling large volumes of data in railway track engineering using predictive analytics, machine learning, and data mining • Explores issues of big data and differential privacy and discusses the various advantages and disadvantages of more conventional data analysis techniques • Implements big data applications while addressing common issues in railway track maintenance • Explores the advantages and pitfalls of data analysis software such as R and Spark, as well as the ApacheTM Hadoop® data collection database and its popular implementation MapReduce Big Data and Differential Privacy is a valuable resource for researchers and professionals in transportation science, railway track engineering, design engineering, operations research, and railway planning and management. The book is also appropriate for graduate courses on data analysis and data mining, transportation science, operations research, and infrastructure management. NII ATTOH-OKINE, PhD, PE is Professor in the Department of Civil and Environmental Engineering at the University of Delaware. The author of over 70 journal articles, his main areas of research include big data and data science; computational intelligence; graphical models and belief functions; civil infrastructure systems; image and signal processing; resilience engineering; and railway track analysis. Dr. Attoh-Okine has edited five books in the areas of computational intelligence, infrastructure systems and has served as an Associate Editor of various ASCE and IEEE journals.