Ex Post Assessment Of Transport Investments And Policy Interventions

Ex-post evaluation is important to improving the delivery of transport policy objectives. It can be used for multiple purposes at the core of which is the improvement of ex-ante assessment. A small number of jurisdictions employ ex-post evaluation systematically and leading experience is reviewed in this report. One reason ex-post analysis is not more widely employed is a number of methodological and data challenges. Several approaches have been developed to tackle these, including advanced statistical approaches, establishment of transport observatories to retain data that would otherwise be lost and a case study approach to compare similar locations subject to different investment and policy treatments. This report examines examples of best practice, discussing the potential of different approaches and how they can be used to complement each other.

Ex-post evaluation is important to improving the delivery of transport policy objectives. It can be used for multiple purposes at the core of which is the improvement of ex-ante assessment. A small number of jurisdictions employ ex-post evaluation systematically and leading experience is ...

This report describes evaluation methods for transport infrastructure investments to ensure that scarce resources are allocated in a way that maximises their net return to society.

This report sets out several of the recent advances, and suggests the most promising approaches, to the quantification and valuation of some of the wider economic benefits that flow from transport-related development. Economic appraisal can offer decision-makers important insights into the ...

This thoroughly updated second edition incorporates key ideas and discussions on issues such as wider economic impacts, the treatment of risk, and the importance of institutional arrangements in ensuring the correct use of technique. Ginés de Rus considers whether public decisions, such as investing in high-speed rail links, privatizing a public enterprise or protecting a natural area, may improve social welfare.

"Policy-makers often call for expanding public spending on infrastructure, which includes a broad range of investments from roads and bridges to digital networks that will expand access to high-speed broadband. Some point to near-term macro-economic benefits and job creation, others focus on long-term effects on productivity and economic growth. This volume explores the links between infrastructure spending and economic outcomes, as well as key economic issues in the funding and management of infrastructure projects. It draws together research studies that describe the short-run stimulus effects of infrastructure spending, develop new estimates of the stock of U.S. infrastructure capital, and explore the incentive aspects of public-private partnerships (PPPs). A salient issue is the treatment of risk in evaluating publicly-funded infrastructure projects and in connection with PPPs. The goal of the volume is to provide a reference for researchers seeking to expand research on infrastructure issues, and for policy-makers tasked with determining the appropriate level of infrastructure spending"--

Recent technological advancements and other related factors and trends are contributing to the production of an astoundingly large and rapidly accelerating collection of data, or ‘Big Data’. This data now allows us to examine urban and regional phenomena in ways that were previously not possible. Despite the tremendous potential of big data for regional science, its use and application in this context is fraught with issues and challenges. This book brings together leading contributors to present an interdisciplinary, agenda-setting and action-oriented platform for research and practice in the urban and regional community. This book provides a comprehensive, multidisciplinary and cutting-edge perspective on big data for regional science. Chapters contain a collection of research notes contributed by experts from all over the world with a wide array of disciplinary backgrounds. The content is organized along four themes: sources of big data; integration, processing and management of big data; analytics for big data; and, higher level policy and programmatic considerations. As well as concisely and comprehensively synthesising work done to date, the book also considers future challenges and prospects for the use of big data in regional science. Big Data for Regional Science provides a seminal contribution to the field of regional science and will appeal to a broad audience, including those at all levels of academia, industry, and government.