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    Natural Risks Exposure and Hazard Avoidance Strategies: Learning from Vesuvius

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    One of the major corroborations related to catastrophic events originated by geological, hydrological and atmospheric phenomena is that global population growth and its concentration in large urban areas has been increasing risk exposure exponentially. For this reason, working strategically towards a more aware and intelligent location of residential buildings should be a priority in order to reduce the effects of natural disasters. After introducing hazard avoidance strategies in general, the essay describes the two most common approaches: the land use regulatory approach based on building constraints and bans; the incentive approach based on managed retreat and relocation programs. Subsequently, the essay introduces the subject of volcanic risk in Italy and expressly the case of the Mount Vesuvius hinterland, an extremely hazardous and highly populated area where local authorities have prepared innovative and detailed ‘housing decompression’ plans and projects. In conclusion the essay discusses the inefficacy of these experiments because of social and political infeasibility connected to (overlooked) risk perception issues and cultural biases

    Introduction

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    This book presents and discusses methodological approaches and operational tools aimed at increasing the awareness and skills necessary to face the social, economic and environmental challenges usually encountered in spatial planning. In addition, it deals with the concepts of risk and resilience from both a theoretical and operational point of view. The book promotes a better understanding of risk, resilience, and related notions such as vulnerability, fragility and anti-fragility in urban and landscape studies, while also analyzing new planning policies. Accordingly, it will benefit all researchers and public decision-makers looking for an interdisciplinary approach to risk and resilience

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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