Near-Real-Time Analysis of Publicly Communicated Disaster Response Information

Analysis of a disaster event can identify strengths and weaknesses of the response implemented by the disaster management system; however, analysis does not typically occur until after the response phase is over. The result is that knowledge gained can only benefit future responses rather than the response under investigation. This article argues that there is an opportunity to conduct analysis while the response is operational due to the increasing availability of information within hours and days of a disaster event. Hence, this article introduces a methodology for analyzing publicly communicated disaster response information in near-real-time. A classification scheme for the disaster information needs of the public has been developed to facilitate analysis and has led to the establishment of best observed practice standards for content and timeliness. By comparing the information shared with the public within days of a disaster to these standards, information gaps are revealed that can be investigated further. The result is identification of potential deficiencies in communicating critical disaster response information to the public at a time when they can still be corrected

Disclosure, Apology, and Offer Programs: Stakeholders’ Views of Barriers to and Strategies for Broad Implementation

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/94445/1/j.1468-0009.2012.00679.x.pd

Bioenergy with Carbon Capture and Storage (BECCS) : Finding the win–wins for energy, negative emissions and ecosystem services—size matters

Funding information Natural Environment Research Council, Grant/Award Number: NE/M019764/1 ACKNOWLEDGEMENTS This work was supported by the NERC-funded UK Energy Research Centre, by the NERC project Addressing the Valuation of Energy and Nature Together (ADVENT, NE/M019764/1) and by The University of California, Davis with CD the recipient of a NERC PhD studentship (1790094). It also contributed to the NERC FAB-GGR project (NE/M019691/1).Peer reviewedPublisher PD

Fit for purpose and fit for the future? An evaluation of the UK’s new flood reinsurance pool

Flood Re is widely hailed as an innovative approach to disaster risk insurance. This paper offers a mixed-methods evaluation of the new pool, asking whether it is “fit for purpose” and “fit for the future”. The investigation considers the roles of the public and private sectors, risk modelling and risk communication, technical underwriting, distributional aspects and the behavioural implications of Flood Re, particularly with regards to risk reduction and prevention. The paper concludes that the new pool is a transitional reinsurance arrangement that supports the private insurance market and secures affordability of flood insurance in the UK through premium subsidies. However, this approach is likely to come under pressure in the face of rising flood risk as it fails to incentivize flood risk management and risk reduction efforts

The influence of crop insurance agents on coverage choices: The role of agent competition

We examine how competition among crop insurance agents affects coverage choice in the federal crop insurance program. Agents may influence producers’ insurance decisions to maximize their total compensation. We develop a theoretical model of producer–agent interaction to examine how loss potential, agent compensation mechanisms, and market competition affect the coverage level selected. Using crop insurance unit-level datasets from five states, we find evidence that agent market concentration and agents’ market share matter in the insurance coverage decisions of producers but that the economic significance of the influence is relatively small. Agent influence over coverage level, premium, and liability choice is generally positive but inconsistent across states, which may be attributable to differences in loss risk and agent compensation mechanisms