Strengthening resilience in the Caribbean region through the Spatial Data Infrastructures

Gómez, Paloma Merodio; García, Efrain Limones; Santiago, Andrea Ramírez

doi:10.1080/23729333.2020.1830467

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…In the context of DRM in SIDS, Gómez et al (2020) [30] work is on the assessment of SDI development and its ability to strengthen the resilience of Caribbean states. More recently, Rosario et al (2022) [11] worked on the identification of critical factors to enhance SDI performance to facilitate disaster risk management in SIDS.…”

Section: Spatial Data Infrastructure (Sdi)mentioning

confidence: 99%

Assessing SDI Implementation Scenarios to Facilitate Emergency Mapping Operations in the Dominican Republic

Michel

Gonzalez-Campos

Aybar

et al. 2023

IJGI

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The Dominican Republic (DR) is a small island developing state (SIDS) highly exposed to disaster-risk phenomena, such as earthquakes, hurricanes, etc. The Spatial Data Infrastructure (SDI) enables coordination and sharing of spatial information and services from multiple sources, while emergency mapping operations (EMO) help decision-makers build a common operational picture (COP) of impacted communities. Assessment of future scenarios for SDI implementation to meet emergency mapping goals requires the consideration of a wide range of stakeholders with different objectives. We make use of multi-actor multi-criteria analysis (MAMCA) in the case study of DR to evaluate government, private sector, emergency mapping team (EMT), and academia perspectives of three governance scenarios (Going-Concern, Increasing-Hierarchy, and Increasing-Network) for SDI implementation. Our findings suggest that the ‘Increasing Network’ scenario is the most suitable for SDI implementation. A well-coordinated inter-organizational network through a SDI should empower more stakeholders to participate in EMO. This work highlighted the increase of public-private partnerships as a key criterion to share costs and efforts to effectively support emergency mapping tasks. Findings reported herein could assist decision-makers in designing roadmaps to enhance SDI implementation in the DR. This knowledge will also support future studies/practices in other SIDS, which share similar natural hazards and development issues.

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Section: Spatial Data Infrastructure (Sdi)mentioning

confidence: 99%

Assessing SDI Implementation Scenarios to Facilitate Emergency Mapping Operations in the Dominican Republic

Michel

Gonzalez-Campos

Aybar

et al. 2023

IJGI

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“…Flooding in the Caribbean is predicted to intensify exponentially due to unregulated urbanization of floodplains, catchment degradation because of anthropogenic activity, lack of preparedness and resilience for emergency response, poverty, lack of implementation of public policies and infrastructural problems [6]. Unfortunately, most Caribbean SIDS also do not have the internal human capacity to undertake much of the work needed to support mitigation efforts [7].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Weighting Methods in Geospatial Flood Risk Assessment: A Trinidad Case Study

Roopnarine

Ramlal

Roopnarine

2022

Land

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The Republic of Trinidad and Tobago is an archipelagic Small Island Developing State (SIDS), situated on the southern end of the chain of Caribbean islands. Several factors such as climate, topography, and hydrological characteristics increase its susceptibility and vulnerability to flooding which results in adverse socio-economic impacts. Many Caribbean islands, including Trinidad and Tobago lack a flood risk assessment tool which is essential for a proactive mitigation approach to floods, specifically in the Caribbean due to the incommensurate flooding events that occur because of the inherent characteristics of SIDS. This research focuses on the problem of flooding using susceptibility analysis, vulnerability analysis and risk assessment for the island of Trinidad, whilst also presenting a repeatable and appropriate methodology to assess these risks in regions that have similar characteristics to Trinidad. This is especially useful in Caribbean countries because of a lack of internal human capacity to support such efforts. Flood hazard indexes (FHI) and vulnerability indexes (VI) were generated for this study using subjective and objective weighting technique models to identify regions that are affected by flooding. These models were Analytical Hierarchy Process (AHP), Frequency Ratio (FR) and Shannon’s Entropy (SE). Comparative analyses of the three models were conducted to assess the efficacy and accuracy of each to determine which is most suitable. These were used to conduct a risk assessment to identify risks associated with each Regional Corporation of Trinidad. Results indicate that FR is the most accurate weighting technique model to assess flood susceptibility and risk assessment in Trinidad, with an Area Under the Curve (AUC) of 0.76 and 0.64 respectively. This study provides an understanding of the most appropriate weighting techniques that can be used in regions where there are challenges in accessing comprehensive data sets and limitations as it relates to access to advanced technology and technical expertise. The results also provide reasonably accurate outcomes that can assist in identifying priority areas where further quantitative assessments may be required and where mitigation and management efforts should be focused. This is critical for SIDS where vulnerability to flooding is high while access to financial and human resources is limited.

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Identifying critical factors to enhance SDI performance for facilitating disaster risk management in small island developing states

Michel

Gonzalez-Campos

Aybar³

et al. 2022

Survey Review

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Strengthening resilience in the Caribbean region through the Spatial Data Infrastructures

Cited by 3 publications

References 4 publications

Assessing SDI Implementation Scenarios to Facilitate Emergency Mapping Operations in the Dominican Republic

Assessing SDI Implementation Scenarios to Facilitate Emergency Mapping Operations in the Dominican Republic

A Comparative Analysis of Weighting Methods in Geospatial Flood Risk Assessment: A Trinidad Case Study

Identifying critical factors to enhance SDI performance for facilitating disaster risk management in small island developing states

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