Ex Ante Cost Benefit Analyses of Community-Based DRR Interventions in the Caribbean

This report presents a study on the cost benefit analyses (CBA) and cost effectiveness analysis (CEA) of community-based disaster risk reduction (DRR) interventions in the Caribbean. The DRR interventions, implemented by the International Federation of Red Cross (IFRC), Port of Spain, in three Caribbean countries, Jamaica, Antigua & Barbuda, and Suriname, comprised the pilot phase of the Red Cross (RC) Project, Improving Climate Change Resilience of Caribbean Communities. This study is part of the endeavor by the DRR Program of Florida International University (FIU) and the United States Agency for International Development’s Office of the U.S. Foreign Disaster Assistance (USAID/OFDA) to develop and foster DRR measures in the Latin American and Caribbean region since 2008.

Optimization of pavement maintenance and rehabilitation programming using shuffled complex evolution algorithm

The major barrier to practical optimization of pavement preservation programming has always been that for formulations where the identity of individual projects is preserved, the solution space grows exponentially with the problem size to an extent where it can become unmanageable by the traditional analytical optimization techniques within reasonable limit. This has been attributed to the problem of combinatorial explosion that is, exponential growth of the number of combinations. The relatively large number of constraints often presents in a real-life pavement preservation programming problems and the trade-off considerations required between preventive maintenance, rehabilitation and reconstruction, present yet another factor that contributes to the solution complexity. In this research study, a new integrated multi-year optimization procedure was developed to solve network level pavement preservation programming problems, through cost-effectiveness based evolutionary programming analysis, using the Shuffled Complex Evolution (SCE) algorithm.^ A case study problem was analyzed to illustrate the robustness and consistency of the SCE technique in solving network level pavement preservation problems. The output from this program is a list of maintenance and rehabilitation treatment (M&R) strategies for each identified segment of the network in each programming year, and the impact on the overall performance of the network, in terms of the performance levels of the recommended optimal M&R strategy. ^ The results show that the SCE is very efficient and consistent in the simultaneous consideration of the trade-off between various pavement preservation strategies, while preserving the identity of the individual network segments. The flexibility of the technique is also demonstrated, in the sense that, by suitably coding the problem parameters, it can be used to solve several forms of pavement management programming problems. It is recommended that for large networks, some sort of decomposition technique should be applied to aggregate sections, which exhibit similar performance characteristics into links, such that whatever M&R alternative is recommended for a link can be applied to all the sections connected to it. In this way the problem size, and hence the solution time, can be greatly reduced to a more manageable solution space. ^ The study concludes that the robust search characteristics of SCE are well suited for solving the combinatorial problems in long-term network level pavement M&R programming and provides a rich area for future research. ^

A Look at Restaurant Commissaries

Restaurant commissaries range the full spectrum from simple storage of food and supplies to multi-million-dollar processing plants. The author discusses the cost effectiveness of commissary units, including their operating costs, quality control, and scope.