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The study area location in Eastern Uganda. GIS generated map using UBOS 2014 shape files. (a) Uganda in Africa; (b) Mbale municipality in Uganda; (c) Mbale municipality.
Contexts in source publication
Context 1
... study was conducted in Mbale municipality in Eastern Uganda from July to August 2017 ( Figure 1). Mbale municipality comprises of three divisions i.e. ...
Context 2
... the UBOS census figures of the seven sampled wards were used to proportionately distribute the 389 households in order to derive the exact figures to be sampled in each ward or parish (Figure 1). Consequently, in Malukhu ward 46 households were sampled, in Namatala ward 129, in Nabuyonga ward 50, in Namakwekwe ward 79, in Nkoma ward 58, in Boma ward 11 and in Busamaga west 19 households. ...
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Citations
... Existing research has sought to develop index-based methods for measuring and analyzing the resilience of cities in the face of various challenges, from climate change to economic shocks [35]. These indices typically incorporate a range of indicators across different domains, such as infrastructure, governance, and social well-being, in order to provide a comprehensive assessment of a city's overall resilience [36]. For example, the City Resilience Index developed by the Rockefeller Foundation and Arup is a prominent example that aims to evaluate the strengths and weaknesses of urban resilience through a framework encompassing four key dimensions [37]: health and wellbeing, economy and society, infrastructure and ecosystems, as well as leadership and strategy [36]. ...
... These indices typically incorporate a range of indicators across different domains, such as infrastructure, governance, and social well-being, in order to provide a comprehensive assessment of a city's overall resilience [36]. For example, the City Resilience Index developed by the Rockefeller Foundation and Arup is a prominent example that aims to evaluate the strengths and weaknesses of urban resilience through a framework encompassing four key dimensions [37]: health and wellbeing, economy and society, infrastructure and ecosystems, as well as leadership and strategy [36]. ...
... Furthermore, the Climate Disaster Resilience Index has been proposed as a framework to assess the strength and weaknesses of a city's resilience [38] across key domains such as health and wellbeing, economy and society, infrastructure and ecosystem, as well as leadership and strategy [36]. Building on this, the Urban Resilience and Climate Change Index has taken a more holistic approach by operationalizing climate resilience through a framework that integrates urban systems [39], people, and institutions, in line with the definition put forth by the Asian Cities Climate Change Resilience Network [40]. ...
... In addition, a case study design was adopted to provide an in-depth, multifaceted understanding of socially constructed realities surrounding community-based adaptation strategies and environmental risks in the study area. The Mount Elgon region was purposively selected due to its high frequency of disasters, including flash floods, prolonged droughts, landslides, food insecurity, and rapid population growth [49]. To select study respondents, a stratified random sampling method was employed. ...
... Empirically, Jones, (2018) revealed that the climate resilience is influenced by age, marital status, gender, education, occupation status, status of the area, life satisfaction, climate shocks, and households' status. The evidence from Sub-Saharan African cities revealed that access to essential services such as water, electricity, health care, education, housing and transportation, soc ial networks, employment, the ownership of productive assets, and the building of flood-barriers influence the urban climate resilience (George, 2019). The characteristics such as age, gender, income, and health status of the urban population are also factors that influence the urban climate resilience (IPCC 2015). ...
... This means that men are less likely to be low resilient than the women. This is expected as women are more vulnerable, according to many studies, especially in African countries where women have traditionally less access to socioeconomic resources (Jones 2018, George, 2019. Concerning the work status, the results effectively show a positive and significant association between work status and climate resilience, but the coefficients decline across cut-points. ...
... From an empirical point of view, Oriangi et al. (2019) studied for Uganda in the commune of Mbale the socio-economicdemographic determinants that contribute to the resilience of households to climatic hazards. They found that the ability of households to cover their daily expenses, the size of the household, and the social network of households largely determine their ability to prepare for shocks, cope with them, and adapt specifically to risks such as drought and erratic rainfall. ...
he resilience capacity of smallholder households is one of the main drivers of their ability to continue to farm and make investments in the fragile dryland regions. This paper aims to assess the resilience profile of smallholder farmers in the face of climate change and the factors influencing it in three dryland sub-regions of Senegal, namely, Louga, Kaffrine, and Thies. We developed a composite index of climate resilience (CICR) using data on farmers' perceptions of climate variability and their perceived ability to withstand, adapt, and bounce back in the event of climatic shocks. Drought, strong winds, and soil fertility decline because of climate change emerged as the main climate hazards impacting smallholder farming systems. The CICR value ranged from −2 for the most vulnerable households to +2 for the most resilient households. On average, all the households were found to be vulnerable, with an average CICR value of −0.2. The LOUGA region was the most vulnerable, with an average CICR value of −0.36, followed by THIES (-0.2). The KAFFRINE region was relatively less vulnerable, with a CICR value of −0.1. Ordered logit model estimates show that the chances of improving CICR decrease with the increase of the household head's age until 59 years. Access to training on climate-smart agricultural (CSA) practices and climate information appeared to have the potential to increase by 171% the chance of the household improving its resilience status. Analysis also shows that one more woman working off-farm or in-home gardening has the potential to multiply by four times the chances of households being more resilient. This highlights the importance of empowering women to enhance household resilience to climate change. The off-farm revenue increased the chance to improve the resilience status of the farm household by 62% and the receipt of transfer revenue by 50%. This study provides a robust method for quantifying resilience or wellbeing and its drivers and enriches our understanding of the resilience ability of farmers to climate change in a West African context. It can be useful in designing effective adaptation interventions and improving the overall wellbeing of smallholder farmers.
... From an empirical point of view, Oriangi et al. (2019) studied for Uganda in the commune of Mbale the socio-economicdemographic determinants that contribute to the resilience of households to climatic hazards. They found that the ability of households to cover their daily expenses, the size of the household, and the social network of households largely determine their ability to prepare for shocks, cope with them, and adapt specifically to risks such as drought and erratic rainfall. ...
The resilience capacity of the smallholder households is one of the main drivers of their ability to continue to farm and make investments in the fragile dryland regions. This paper aims to assess the resilience profile of smallholder farmers in the face of climate change and the factors influencing it in three dryland sub-regions of Senegal: Louga, Kaffrine and Thies. We developed a composite index of climate resilience (CICR) using data on farmers' perception of climate variability and their perceived ability to withstand, adapt and bounce back in the event of climatic shocks. Drought, strong winds and soil fertility decline because of climate change came out as the main climate hazards impacting the smallholder farming systems. The CICR value ranged from -2 for most vulnerable households to +2 for most resilient households. On average all the households were found to be vulnerable with an average CICR value of -0.2. LOUGA region was the most vulnerable with an average CICR value of -0.36; followed by THIES (-0.2). The KAFFRINE region was relatively less vulnerable with a CICR value of -0.1. Ordered logit model estimates show that the chances to improve CICR decrease with the increase of household’s head age until the age of 59. Access to training on climate-smart agricultural (CSA) practices and climate information appeared to have the potential to increase by 171% the chance of the household improving its resilience status. Analysis also shows that one more woman working off-farm or in home-gardening has the potential to multiply by 4 the chances of households to be more resilient Highlighting the importance of empowering women for enhancing household resilience to climate change. The off-farm revenue increased the chance to improve the resilience status of the farm household by 62% and receipt of transfer revenue by 50%. This study provides a robust method for quantifying the resilience or well-being and its drivers and enriches our understanding of the resilience ability of farmers to climate change in a West Africa context. It can be useful in designing effective adaptation interventions and improve the overall well-being of smallholder farmers.
... In Sub Saharan Africa, climate variability is evident indicated by variability in temperature, shifting rain patterns, sudden rain spells, heat waves, prolonged droughts, and sudden drought spells hitting regions when it is supposed to be a rainy season (McCathy et al., 2008;Ziervogel & Eriksen, 2010;Lobel et al., 2013;Makondo & Thomas, 2020). In the context of East African, changes in climate manifest in the form of decline in the long rainfall season, significant increase in temperatures, and dry seasons crossing into the rain seasons (Nicholson, 2017;Oriangi, 2019). According to IPCC (2001), climate change is the change in the state of climate identified using statistical tests by changes in the mean and/or the variability of its properties persisting for an extended period typically decades or longer while climate variability refers to the variations in the mean state and other statistics such as standard deviation or occurrence of extreme events of climate on all temporal and spatial scales beyond that of individual weather events. ...
Variability and changes in climate are generally expected to occur. However, there remain gaps on dynamics of expected regional variations in climatic changes. This study assessed historic and projected climatic conditions up to the year 2033. The study hypothesized that temperature rather than rainfall significantly increased for the period 1980-2010 and rainfall rather than temperature is likely to decrease significantly by 2033 for Gulu District in northern Uganda. To determine historic climatic trends, rainfall and temperature data were obtained from Uganda National Meteorological Authority (UNMA) while for future climate, the PRECIS (Providing Regional Climates for Impact Studies) modelled data based on projected conditions at a 50 km spatial resolution was used. These data sets were subjected to trend analysis and the differences in means were detected at a 95% confidence level. Contrary to the evidences from other empirical studies, results generally indicated decreasing rainfall for the period 1980-2010. However, the decrease was not significant (P > 0.05) while both historic mean annual maximum and minimum temperature trends showed a statistically significant increase (P<0.05). Projections for 2033 reveal a significant decrease in rainfall (P < 0.05) while both maximum and minimum temperature will remain quasi uniform
... In each agro-ecological zone, one district (Table 1) was selected based on the level of vulnerability of agricultural systems to the main climate variation and change hazards in Uganda. These districts are particularly vulnerable to unpredictable shifts in rainfall patterns as well as uncertainty in the length and intensity of dry seasons, which in the recent past have been characterised by recurrent drought Mbogga 2012;Hisali, Birungi, and Buyinza 2011;Mfitumukiza et al. 2020;Namusoke and Atuhaire 2019;Okaka 2020;Okonya, Syndikus, and Kroschel 2013;Oriangi et al. 2019). A multistage purposive sampling method was used to select the districts and sub counties of study. ...
Climate change impacts threaten sustainable development efforts. The magnitude of the impacts, however, varies with socio-ecological characteristics of locations. This is the reason there is con-sensus on the necessity for climate change adaptive capacity building that is country driven, based on and responsive to local needs. However, information on context specific capacity building needs in developing countries is not readily available. The objective of this study was to establish location specific awareness, training, educational, research and technology capacity building needs for climate change adaptation among small-holder farmers in Uganda. Structured interviews were undertaken with 465 households from five agro-ecological zones selected based on the level of vulnerability of agricultural systems to the main climate variation and change hazards. Results reveal substantial capacity building needs in all the zones. Majority of the farmers needed capacity building for interventions on soil water conservation practices for adapting to drought and un-predictable rainfall. For all zones, education, research, and technology were perceived as key needs. However, the needs varied among zones. These results demonstrate the importance of context specificity in adaptation efforts. The study provides agro-ecological and social system specific in-formation for climate change adaptation planning and policy interventions for effective capacity building
... The cluster at the top of the figure majorly talks about the studies related to resilience assessment and quantification. It includes the major work which talks about the vulnerability and resilience to flooding hazards Kissi et al., (2015), resilience index for climate stress Oriangi et al., (2019), functional resilience for flood management through urban drainage Mugume & Butler, (2017), climate adaptation Mees et al., (2014), the neighbourhood-scale spatial decision support system for analysing urban resilience Balsells et al. (2013). The cluster on the left side focuses on the pluvial flood and environmental aspects with a significant focus on the tools for the resilience assessment using green infrastructure and ecosystem services (Simon & Duchhart, 2015), urban hydrological modelling and environmental informatics and the last cluster on the bottom of the figure majorly focus on impact assessment and risk factors (Fig. 6). ...
The discourse on urban flood resilience and the notions associated with the word has grown enormously and has been discovered to be in staggering form. This paper intends to provide a bibliometric analysis of nearly 30 years of urban flood resilience by mapping the knowledge domain, identifying evolving themes & trends over time, and extracting publications addressing urban flood resilience from the Scopus database. Trends, evolution, and mapping purpose of subject and field information analysis are undertaken using VOSviewer and SciMAT tools. The VOSviewer programme highlights the emphasis areas, whereas SciMAT traces the field’s intellectual evolution across time and the essential themes that drove the transition. The study period is divided into four segments: 1996–2005, 2006–2010, 2011–2015, and 2016–2022 based on the significant international policy milestones. The findings of the analysis highlight that the urban flood resilience field initially concentrated on a few themes and subsequently expanded to encompass the multi-dimensional characteristics of urban area resilience. In recent years, spatial planning approaches, nature-based and sustainable solutions, community-based and citizen science approaches, application of artificial intelligence, urban–rural relationship in resilience aspect, health services, and critical infrastructure networks have been the field's primary themes and concerns for achieving and assessing urban flood resilience. Despite a lack of emphasis on resilience assessment methods and approaches favouring conceptual framework and factors, it is observed that these themes are emerging in the developing scenario to solve the resilience concepts. The research may serve as a springboard for people's and policymakers' concerns about climate change and its effects, infrastructure development to improve the health and social well-being of societies, and a desire to learn more about resolving urban flooding problems in order to enhance flood management concepts pertaining to urban flood resilience and its history. Hence, a comprehensive list of themes and thematic areas concerning urban flood resilience with varying weights according to contexts is recommended, leading to the development of the urban flood resilient assessment tool and modifying the existing tools to reflect better the holistic understanding of sustainable and resilient cities/areas.
... Perumahan dan kawasan permukiman merupakan kesatuan sistem yang terdiri dari pembinaan, penyelenggaraan perumahan, penyelenggaraan kawasan permukiman, pemeliharaan perbaikan, pencegahan dan peningkatan kualitas terhadap perumahan permukiman kumuh, penyediaan tanah, pendanaan dan sistem pembiayaan, serta peran masyarakat, yang terdapat dalam Undang-Undang Nomor 1 Tahun Dalam bidang studi ketahanan pengurangan risiko bencana, ketahanan secara umum didefinisikan sebagai kemampuan masyarakat atau komunitas untuk mengantisipasi, merespon dan pulih dari guncangan dan tekanan, berinovasi dan mengubah fungsinya (Oriangi, et al., 2019). Resilience menurut Christophe Bene merupakan kemampuan untuk menghadapi perubahan dan guncangan yang merugikan. ...
Rajabasa sub-district is one of areas prone to flooding due to the overflow of Way Kandis River. However, there are still many people who live in the flood-prone area for various reasons. This study aims to determine the motivation of people living in flood-prone areas located in Rajabasa sub-district, Bandar Lampung City. The method used is inductive qualitative. The data in the study were obtained by semi-structured interviews with the people of Rajabasa Village who were directly affected by the flood disaster. The data analyzed using induction resulted in a concept related to the motivation of the people to live. Based on the findings of the concepts generated from the research, the motivations of the dweller in flood-prone areas in the Rajabasa sub-district are 1) The lack of options to live in urban areas due to family legacy and nothing land ownership elsewhwere, resulting the acceptance of flooding by the residents; 2) A sense of security with the community that they do not feel threatened and are used to flood disasters; 3) Affordable accessibility of the area which reached by public transportation and connects with schools and workplaces; 4) A sense of comfortable since they have been settled for a long time in the area.
... SM, R code). The variable and pillar selection was built on insights of the RIMA models [22,24,25,62], urban resilience models [34,36,37,63], statistical relationships (principal component analysis, PCA), and the criteria of only including variables with factor loading scores higher than 0.65 (cf. SM, model). ...
Urbanization proceeds globally and is often driven by migration. Simultaneously, cities face severe exposure to environmental hazards such as floods and heatwaves posing threats to millions of urban households. Consequently, fostering urban households’ resilience is imperative, yet often impeded by the lack of its accurate assessment. We developed a structural equation model to quantify households’ resilience, considering their assets, housing, and health properties. Based on a household survey (n = 1872), we calculate the resilience of households in Pune, India with and without migration biography and compare different sub-groups. We further analyze how households are exposed to and affected by floods and heatwaves. Our results show that not migration as such but the type of migration, particularly, the residence zone at the migration destination (formal urban or slum) and migration origin (urban or rural) provide insights into households’ resilience and affectedness by extreme weather events. While on average, migrants in our study have higher resilience than non-migrants, the sub-group of rural migrants living in slums score significantly lower than the respective non-migrant cohort. Further characteristics of the migration biography such as migration distance, time since arrival at the destination, and the reasons for migration contribute to households’ resilience. Consequently, the opposing generalized notions in literature of migrants either as the least resilient group or as high performers, need to be overcome as our study shows that within one city, migrants are found both at the top and the bottom of the resilience range. Thus, we recommend that policymakers include migrants’ biographies when assessing their resilience and when designing resilience improvement interventions to help the least resilient migrant groups more effectively.
