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Benchmarking has become a key tool in the water industry to promote and achieve performance targets for utilities. The use of this tool for performance improvement through systematic search and adaptation of leading practices, has expanded globally during the past decade. Many ongoing projects worldwide aim to address different needs and objectives, in varying contexts, with outstanding results and impact. Benchmarking Water Services provides valuable information to everyone interested in benchmarking in the water industry. The text is aimed at utilities considering joining a benchmarking project, experienced practitioners in charge of organizing a benchmarking exercise, consultants, regulators and researchers. The document is presented with a clear practice oriented approach and can be used as a how-to-benchmark guide presented from different perspectives (participants, organizers, supervising bodies). Readers will gain practical insight on real life benchmarking practices and will benefit from the experiences gained in some of the leading benchmarking projects of the water industry (including the IWA-WSAA benchmarking efforts, the European Benchmarking Co-operation and the several benchmarking projects carried out in Austria and Central Europe). The manual also presents the new IWA Benchmarking Framework, which aims to harmonize the terms used to describe benchmarking and performance indicators practices in the water industry, guaranteeing a more fluent and efficient communication. This Manual of Best Practice is edited by the IWA Specialist Group on Benchmarking and Performance Assessment, and co-published by AWWA and IWA Publishing. Praise for Benchmarking Water Services: "The continual trend of conceptual to specifics throughout the book provides for an educational experience each time the book is either casually perused or carefully studied." "The authors (Cabrera, Haskins and Fritiz) diligently pursue the focus of improvement." "Benchmarking Water Services is an in depth and practical ‘must have’ guide for any utility currently engaged in or planning to develop a benchmarking process" - Gregory M. Baird (2012) Benchmarking: An International Journal 19:2. More information about the book can be found on the Water Wiki in an article written by the author: http://www.iwawaterwiki.org/xwiki/bin/view/Articles/TheNewIWABenchmarkingFramework A Spanish language version of this book is available as a free eBook: http://www.iwawaterwiki.org/xwiki/bin/view/Articles/eBookTitlesfromIWAPublishingFreetoDownload-Volume2#HBenchmarkingParaServiciosdeAgua
This book addresses two significant research areas in an interdependent fashion. It is first of all a comprehensive but concise text that covers the recently developed and widely applicable methods of qualitative choice analysis, illustrating the general theory through simulation models of automobile demand and use. It is also a detailed study of automobile demand and use, presenting forecasts based on these powerful new techniques. The book develops the general principles that underlie qualitative choice models that are now being applied in numerous fields in addition to transportation, such as housing, labor, energy, communications, and criminology. The general form, derivation, and estimation of qualitative choice models are explained, and the major models - logit, probit, and GEV - are discussed in detail. And continuous/discrete models are introduced. In these, qualitative choice methods and standard regression techniques are combined to analyze situations that neither alone can accurately forecast. Summarizing previous research on auto demand, the book shows how qualitative choice methods can be used by applying them to specific auto-related decisions as the aggregate of individuals' choices. The simulation model that is constructed is a significant improvement over older models, and should prove more useful to agencies and organizations requiring accurate forecasting of auto demand and use for planning and policy development. The book concludes with an actual case study based on a model designed for the investigations of the California Energy Commission. Kenneth Train is Visiting Associate Professor in Economics at the University of California, Berkeley, and Director of Economic Research at Cambridge Systematics, Inc., also in Berkeley. Qualitative Choice Analysisis included in The MIT Press Transportation Studies Series, edited by Marvin L. Manheim.