Landslide Risk Management in Uganda: A Multi-level Policy Approach

Maes, Jan; Poesen, Jean; Parra, Constanza; Kabaseke, Clovis; Bwambale, Bosco; Mertens, Kewan; Jacobs, Liesbet; Dewitte, Olivier; Vranken, Liesbet; Hontheim, Astrid De; Kervyn, Matthieu

doi:10.1007/978-3-319-53487-9_46

Cited by 10 publications

(14 citation statements)

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“…For instance, the two measures that are consistent 571 least appropriate for all studied areas, are promoted as policy actions to reduce landslide risk in and practice which are quite common in the domain of disaster governance (e.g. Bang, 2014;598 Blackburn, 2014;Maes et al, 2017b). For example, in the Rwenzori Mountains case, disaster 599 management committees are split into a policy and technical unit in the national policy 600 (OPMRU, 2010) while combined in practice (Maes et al, 2017b).…”

Section: Applicability Of the Methodology 559mentioning

confidence: 99%

“…Bang, 2014;598 Blackburn, 2014;Maes et al, 2017b). For example, in the Rwenzori Mountains case, disaster 599 management committees are split into a policy and technical unit in the national policy 600 (OPMRU, 2010) while combined in practice (Maes et al, 2017b). The proposed methodology 601 also allows for a comparison between perceived implementation and actual implementation of 602 DRR measures.…”

Section: Applicability Of the Methodology 559mentioning

confidence: 99%

“…The focus of this 179 study was on the Rwenzori Mountains region in West Uganda. Although several districts in this 180 region suffer from landslides (Jacobs et al, 2016(Jacobs et al, , 2017Mertens et al, 2016), this area has been 181 largely neglected in national disaster governance efforts (Maes et al, 2017b) which makes it an 182 interesting case for identifying potential landslide risk reduction measures. Previous research 183 has illustrated that landslide risk management in this region is currently ineffective and the 184 landslide risk reduction measures that are implemented on the ground are scattered and limited 185 (Maes et al, 2017b).…”

Section: Study Area and Main Actors Involved In Landslide Risk Managementmentioning

confidence: 99%

“…The selection of the set of landslide risk reduction measures was based on a literature 250 review(Maes et al, 2017a) and previous field work(Maes et al, 2017b). During the 251 first phase, the members of the DMCs at district and sub-county levels were given theopportunity to suggest adaptations to the list of landslide risk reduction measures and 253 of evaluation criteria.…”

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confidence: 99%

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Social multi-criteria evaluation to identify appropriate disaster risk reduction measures: application to landslides in the Rwenzori Mountains, Uganda

et al. 2018

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Over the past decades the global exposure of persons and assets to natural hazards, like 5 landslides, has increased faster than that their vulnerability has decreased. Therefore the Sendai 6Framework for Disaster Risk Reduction (DRR) made a call in 2015 for more investment in 7 DRR. Recent studies exposed the lack of scientific evaluation data for selecting DRR measures. 8The objective of this article is to develop a participatory methodology for identifying 9 appropriate DRR measures based on stakeholder groups' perceptions. More specifically, we 10 propose a social multi-criteria evaluation which combines a two-phased participatory multi-11 criteria analysis with an institutional analysis for its design and a discourse analysis for 12 interpreting its outcomes. This method is then tested for a case study focusing on landslides in 13 the Rwenzori Mountains region (Uganda) to illustrate both its relevance and practical 14 challenges. The results from the case study highlight the perceived importance of the 15 acceptability of measures above cost, feasibility and effectiveness criteria, by district and 16 village stakeholder groups. Frequently recommended DRR actions, such as disaster risk 17 zonation or relocation, are shown to be perceived negatively by local decision-makers despite 18 being put forward in national policies. This article contributes to the DRR literature as it 19proposes a new method to support DRR-related decision-making. It also contributes to the 20 understanding of landslide risk reduction in the Rwenzori Mountains region as it presents the 21 first attempt to identify appropriate landslide risk reduction measures for the region.

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Section: Applicability Of the Methodology 559mentioning

confidence: 99%

Section: Applicability Of the Methodology 559mentioning

confidence: 99%

Section: Study Area and Main Actors Involved In Landslide Risk Managementmentioning

confidence: 99%

mentioning

confidence: 99%

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Social multi-criteria evaluation to identify appropriate disaster risk reduction measures: application to landslides in the Rwenzori Mountains, Uganda

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“…In the perspective of DRR, Circles of Dialogue are basically the three key categories that are recognized to have a stake in DRR as well as a mismatch: the CAR, policymakers, and scientists (Gaillard and Mercer, 2013). These categories are, in this case study, respectively represented by: the indigenous practitioners and specialists on flood DRR, representing CAR; the policymakers, i.e., politicians charged with the responsibility of developing and approving policies on DRR under the governmental platform called Disaster Management Committee; and the scientists as well as technocrats or scientific advisers, who inform the policy development and DRR implementation (Maes et al, 2017). The selection targeting representatives knowledgeable of the DRR perspectives within their circles was conducted through a triangulated institutional stakeholder analysis following the methods described in Maes et al (2019).…”

Section: Defining and Administration Of The Protocolmentioning

confidence: 99%

Testing Interscience in Understanding and Tackling Disaster Risk

Bwambale¹,

Kervyn²

2021

Front. Earth Sci.

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Efforts in Disaster Risk Reduction (DRR) are widely geared towards integrating indigenous knowledge and science. Several conceptual frameworks have thus evolved towards co-creating knowledge and co-designing DRR measures from the standpoint of the communities-at-risk. This is claimed to foster optimization and sustainability of measures. This study tests the effectiveness of this standpoint argument based on the case of floods in the Rwenzori, western Uganda, where a mismatch is noted between research, policy, and action. A protocol was developed to stimulate dialogue on knowledge co-creation and co-designing of DRR measures among participants from three stakeholder groups: scientists, policymakers, and communities-at-risk. Beyond convergence on some measures among participants, equitable deliberations were observed among the different stakeholders. This enabled three processes: coalescing some of the proposed measures, the emergence of hybrid worldviews, and co-design of alternative options. The co-designed options fall within the contemporary conceptualization of nature-based solutions and sustainability. This meant that they are adoptable and optimizable over time by communities-at-risk. This constructive knowledge integration and co-design of DRR options were favored by three attributes: coalescing overlaps in theorizations of processes, embracing diversity in ontological values, and self-critiques among policymakers. Lessons are drawn on how these attributes facilitate bridging gaps between science, policy, and action in DRR.

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Introduction: Landslide Disasters and Relief

Fathani

Arbanas

2017

Advancing Culture of Living With Landslides

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Landslide Risk Management in Uganda: A Multi-level Policy Approach

Cited by 10 publications

References 11 publications

Social multi-criteria evaluation to identify appropriate disaster risk reduction measures: application to landslides in the Rwenzori Mountains, Uganda

Social multi-criteria evaluation to identify appropriate disaster risk reduction measures: application to landslides in the Rwenzori Mountains, Uganda

Testing Interscience in Understanding and Tackling Disaster Risk

Introduction: Landslide Disasters and Relief

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