Challenges to mobilising resources for disaster recovery and reconstruction: perspectives of the Haitian diaspora

Diasporas and diaspora non‐governmental organisations (NGOs) are increasingly important as resource lifelines to their home countries, yet the resources that they mobilise, the types of challenges that they face, and their coping mechanisms are not well explored or understood in the context of disaster recovery. To fill this knowledge gap, this study employed an inductive qualitative methodological approach, using interviews to comprehend the role played by Haitian diaspora NGOs after the catastrophic earthquake in 2010. It found that resources take four common forms: event fundraisers; financial and material donations from supporters; remittances; and volunteer labour. Challenges include an overreliance on diaspora donors, competition among NGOs, and what is perceived as inequitable funding practices towards diaspora NGOs. The findings provide insights centred on better coordination among diaspora NGOs, as well as between diaspora NGOs and other local and international NGOs and local governments and international institutions, to ensure more efficient delivery of services to survivors.     

Using enhanced dasymetric mapping techniques to improve the spatial accuracy of sea level rise vulnerability assessments

This article reports on the application of dasymetric mapping techniques to interpolate and disaggregate block group population counts to smaller areal units (i.e., tax parcels) and derive surface population models with more realistic representations of population distributions in our residential study area in Miami-Dade, Florida. Three methods of dasymetric interpolation were tested: (i) binary, (ii) three-class, and (iii) limiting variable. Our enhanced limiting variable approach introduced an adjustment factor for parcel vacancy rates in the dasymetric calculations, and applied dasymetric mapping techniques to disaggregate future population projections to the tax lot level of analysis. The limiting variable interpolation generated the lowest coefficient of variation (0.188), followed by the three-class interpolation (0.645). We also found that population densities vary substantially within land use classes of single family, medium density and high density classes, and these variations also highlighted the importance of incorporating vacancy rates when interpolating population counts to categorical land use data. Overall, the enhanced dasymetric mapping technique is particularly useful for examining the impact of sea-level rise as its derivatives are compatible with high resolution LiDAR and orthoimagery data. Coastal counties can also benefit from such high resolution surface population models to enhance the accuracy of hazard-related vulnerability assessments and to guide the development of relevant shore zone conservation and adaptation strategies.     

Incremental evolution and devolution of Florida's Coastal High Hazard Area policy

Demarcation of Coastal High Hazard Areas (CHHAs) in Florida dates back to the passage of the landmark Growth Management Act (GMA) of 1985. There have been two subsequent legislative changes in 1994 and 2006. This paper draws on theories of policy implementation, policy framing and policy learning to shed light on this ‘natural experiment’ and to offer clues about factors that impact how and why policies evolve and devolve even after multiple revisions. Although the case study is focused on Florida, the lessons are transferable to land use and environmental policy makers seeking a balance between economic development, property rights and environmental risk.