Urban Households Research Articles

Analysis of urban households’ preparedness and municipal interventions to build flood resilience in Durban, South Africa: Implications for SDG 11

In Durban, South Africa, heavy rainfall leading to flooding has become more frequent over the past decade, resulting in devastating consequences for households. However, studies in South Africa have predominantly focused on understanding the impacts of flooding on rural livelihoods. With intense rainfall events that could result in localized flash flooding to be expected to increase in Durban in the near future, failure to understand how households prepare for flooding and the interventions implemented by local authorities could jeopardize the achievement of Sustainable Development Goal (SDG) 11 – resilient and sustainable cities. To address this gap, primary data were collected from purposively selected residents of the Amanzimtoti community in Durban using questionnaires that comprised both closed and open-ended questions. Additionally, secondary data were analyzed to determine the measures implemented by the eThekwini Municipality to mitigate the adverse effects of flooding. The findings indicate that flooding has triggered psychological trauma among residents. Regarding interventions to mitigate flooding impacts, some homeowners and business owners purchased insurance. Despite the municipality providing early warnings, a severe flood event in 2019 had a significant negative impact on households partly due to the municipality's failure to utilize preferred communication channels – such as X (formally known as Twitter) – that resonate with residents. The study also found that adoption of early warnings may be partly hinged on the extent to which they remember the last flood episode that resulted in disaster. The findings are discussed in terms of their implications for achieving SDG 11 in Durban.

Household characteristics and electric vehicle adoption: changes from 2017 to 2022

ABSTRACT State and federal agencies have set several ambitious goals regarding electric vehicle sales in the United States. For example, the Biden Administration has set a target that 50% of new vehicle sales be electric by 2030. California aims to have 100% of new vehicles be zero-emission by the 2035 model year. This paper uses data from the 2017 and 2022 National Household Travel Surveys to document the extent of progress achieved in pursuit of these goals. These nationally representative surveys indicate that electric vehicle ownership has increased for both homeowners and renters, across all income groups, in single- and multi-vehicle households, and for urban and rural households. The results also highlight a few areas that vehicle manufacturers and policymakers need to address to accelerate the transition to a vehicle fleet that is less dependent on fossil fuels.

Modeling tuberculosis transmission flow in China, 2010–2012

BackgroundChina has the third largest number of TB cases in the world, and the average annual floating population in China is more than 200 million, the increasing floating population across regions has a tremendous potential for spreading infectious diseases, however, the role of increasing massive floating population in tuberculosis transmission is yet unclear in China.Methods29,667 tuberculosis flow data were derived from the new smear-positive pulmonary tuberculosis cases in China. Spatial variation of TB transmission was measured by geodetector q-statistic and spatial interaction model was used to model the tuberculosis flow and the regional socioeconomic factors.ResultsTuberculosis transmission flow presented spatial heterogeneity. The Pearl River Delta in southern China and the Yangtze River Delta along China’s east coast presented as the largest destination and concentration areas of tuberculosis inflows. Socioeconomic factors were determinants of tuberculosis flow. Some impact factors showed different spatial associations with tuberculosis transmission flow. A 10% increase in per capita GDP was associated with 10.2% in 2010 or 2.1% in 2012 decrease in tuberculosis outflows from the provinces of origin, and 1.2% in 2010 or 0.5% increase in tuberculosis inflows to the destinations and 18.9% increase in intraprovincial flow in 2012. Per capita net income of rural households and per capita disposable income of urban households were positively associated with tuberculosis flows. A 10% increase in per capita net income corresponded to 14.0% in 2010 or 3.6% in 2012 increase in outflows from the origin, 44.2% in 2010 or 12.8% increase in inflows to the destinations and 47.9% increase in intraprovincial flows in 2012. Tuberculosis incidence had positive impacts on tuberculosis flows. A 10% increase in the number of tuberculosis cases corresponded to 2.2% in 2010 or 1.1% in 2012 increase in tuberculosis inflows to the destinations, 5.2% in 2010 or 2.0% in 2012 increase in outflows from the origins, 11.5% in 2010 or 2.2% in 2012 increase in intraprovincial flows.ConclusionsTuberculosis flows had clear spatial stratified heterogeneity and spatial autocorrelation, regional socio-economic characteristics had diverse and statistically significant effects on tuberculosis flows in the origin and destination, and income factor played an important role among the determinants.

Our cities, our farm lands: The socioeconomic determinants of urban households participation in urban agricultural production under climatic stressors

In Africa, urban agriculture is critical in addressing food security issues, economic and environmental sustainability in rapidly urbanizing regions such as urban Ghana. However, the factors that influence urban residents' participation in urban agricultural production under climate change adaptation has little space in the extant literature. Recognizing the increasing challenges posed by climate change, this study aims to understand the socio-economic factors influencing urban households' participation in agricultural activities and its implications for climate change adaptation and to draw urban households' socio-economic characteristics and their association with participating in urban agricultural production in the era of climate change effects in urban areas of Ghana. A quantitative approach is employed, involving a sample size of 362 urban households' across diverse neighbourhoods. Statistical analyses, including descriptive statistics—frequencies and percentages, inferential statistics—chi-square test and binary regression models, are employed to quantify the relationships between demographic factors and participation levels. The data suggests correlations between demographic variables, such as household size and income are significant at an alpha 0.05 in determining an urban household's participation in urban agricultural production under climatic stressors. Meanwhile, more urban households' in middle and high-class areas participate in urban agriculture than the lower class. Land acquisition is basically through purchasing which is a challenge in urban agriculture production. The study concluded that urban household size and monthly income are influential factors in urban households' participation in urban agricultural production even though land acquisition plays a factor. The study suggests that policymakers and stakeholders should harness the potential of urban agriculture for sustainable development in the era of climate change. This should be done through rolling out pro-poor urban development policies like pro-poor rights and legislation in urban areas; poor access to financial markets; and land tenure reforms that include flexible land holding and access by the poor.

Did COVID-19 discriminate in the global South? Revealing heterogeneity of urban households’ livelihood resilience based on evidence from Bangladesh, China, India and Philippines

“Lives or livelihoods” is a hard trade-off when confronting COVID-19, especially for cities in the Global South. Countermeasures to protect people's lives may exert negative impacts on urban households and test their livelihood resilience. Did COVID-19 discriminate? Did livelihood resilience vary among different urban households within and across different countries and cities? Established studies focused on rural households' livelihood resilience under climate change or natural hazard based on single country context. Little is known about the variety of urban households' livelihood resilience under COVID-19 across countries and cities. This study aims to fill this gap by revealing heterogeneity of livelihood resilience at both individual urban household level and country level. First-hand questionnaire survey data (N ​= ​4374) were collected from seven cities from Bangladesh, China, India, and Philippines. Using a combination of quantitative and qualitative analytical methods, it's found that: COVID-19 did discriminate. Urban households with larger household size, no home ownership, no financial assets, and household heads with low education level, informal employed and no flexibility to transfer to work from home, were vulnerable groups. COVID-19 also discriminated across cities. Cities with a high ratio of informal workers, no effective economic relief policies and long stringent mobility restriction measures performed worse.

Health at Home: Investigating Low-Income Housing Quality on Colfax Avenue

Abstract: Addressing housing insecurity contributes to health care programs as stable housing has positive health benefits. Home environmental hazards may reduce these potential health benefits and could increase morbidity for conditions such as asthma. This study examined housing and indoor air quality among urban low-income households in Colorado to inform housing-insecurity interventions. We conducted a community-engaged study among residents of motels, mobile homes, apartments, and single-family homes that included a survey on the home environment, health, and sociodemographic factors, spirometry, and indoor air quality measurement. We enrolled 60 households: 50% single-family homes, 37% apartments, and 13% residential motels. Perceived stress and depression were higher among motel residents compared with other housing types. We did not find differences in lung function by housing type. Indoor fine particulate matter (PM2.5) and black carbon concentrations were higher in motels than in other housing types. The differential health impacts of housing type support housing programs that jointly address security and quality.

Machine learning methods in evaluating the impact of economic factors on the consumer price index in Albania

The Consumer Price Index (CPI) in Albania is a measure of inflation that tracks changes in the prices of a basket of goods and services typically purchased by urban households in the country. It is a vital economic indicator used to assess changes in the cost of living and the overall price level in Albania. There are several factors that affect the levels and progress of the CPI, among them we have chosen: Euro/Lek and USD/Lek exchange rates, import levels, the monetary base, and salary data, from January 2007 to September 2023. In this paper, we investigate the efficiency of machine learning methods in determining the factors that have the greatest impact on the CPI. In our analysis, we assess the effectiveness of decision-tree models, Random Forest and XGBoost algorithms, in predicting the CPI behavior in Albania. Based on our empirical findings, we conclude that the monetary base and wages play a crucial role in influencing the CPI, with imports and exchange rates following closely in significance. Additionally, our results indicate that the Random Forest model demonstrates superior accuracy and demands less parameter tuning time compared to the alternatives. This research underscores the critical role of model selection in achieving precision and dependability in CPI forecasting. It underscores the immense potential of machine learning models in enhancing forecasting accuracy. The implications of this study are significant, as they can foster the creation of more precise and dependable forecasting models, equipping policymakers with a deeper understanding of economic stability.

Determinants of adoption of urban agriculture (UA) as climate-smart agriculture (CSA) practices and its impact on food security: evidence from Wolaita Sodo city, South Ethiopia

BackgroundClimate change is one of humanity's biggest problems. CSA offers a once-in-a-lifetime chance to adapt to global climate change and reduce greenhouse gas emissions. UA can improve food security by providing affordable, nutritious alternatives to commercially produced food, especially for economically disadvantaged people. This study examined the factors influencing the adoption of UA as CSA practices, as well as their effects on food security in Wolaita Sodo City, South Ethiopia.MethodsData was collected from primary and secondary sources, both qualitative and quantitative form. A structured and semi-structured questionnaire was used to gather data from 384 randomly chosen urban households through surveys/interviews, focus group conversations, and observation. The percentage and mean differences between UA adopters and non-adopters were calculated using the chi-square test and t-test. A propensity score matching (PSM) model assessed UA's impact on food security. A binary logistic regression model was used to determine factors influencing adoption of UA as CSA practice in the study area.ResultsThe descriptive analysis showed that 53.53% of respondents used UA. Statistics showed the existence of a significant mean differences between adopters and non-adopters in employment level, UA attitudes, and household size. Logit model computations showed that family size, home ownership, the household head's occupation, perceptions of UA, market demand, and access to training and support influenced UA adoption as a climate-smart farming practice.ConclusionsAs per the study's findings, there could be a correlation between specific factors and the adoption of UA as CSA in the studied area. The PSM study confirmed that UA deployment significantly improves food security. UA adoption increased food security by 0.685-fold. The report recommends that municipal education offices, UA offices, and cooperative offices create an integrated functional adult education programme for urbanites. Since UA is vital to fighting food insecurity, it suggests increasing support for cooperative entities.

Rural-urban disparity in community-based health insurance enrollment in Ethiopia: a multivariate decomposition analysis using Ethiopian Mini Demographic Health Survey 2019.

In sub-Saharan Africa, achieving universal health coverage (UHC) and protecting populations from health-related financial hardship remain challenging goals. Subsequently, community-based health insurance (CBHI) has gained interest in low and middle-income countries, such as Ethiopia. However, the rural-urban disparity in CBHI enrollment has not been properly investigated using multivariate decomposition analysis. Therefore, this study aimed to assess the rural-urban disparity of CBHI enrollment in Ethiopia using the Ethiopian Mini Demographic Health Survey 2019 (EMDHS 2019). This study used the latest EMDHS 2019 dataset. STATA version 17.0 software was used for analyses. The chi-square test was used to assess the association between CBHI enrollment and the explanatory variables. The rural-urban disparity of CBHI enrollment was assessed using the logit-based multivariate decomposition analysis. A p-value of <0.05 with a 95% confidence interval was used to determine the statistical significance. The study found that there was a significant disparity in CBHI enrollment between urban and rural households (p < 0.001). Approximately 36.98% of CBHI enrollment disparities were attributed to the compositional (endowment) differences of household characteristics between urban and rural households, and 63.02% of the disparities were due to the effect of these characteristics (coefficients). The study identified that the age and education of the household head, family size, number of under-five children, administrative regions, and wealth status were significant contributing factors for the disparities due to compositional differences between urban and rural households. The region was the significant factor that contributed to the rural-urban disparity of CBHI enrollment due to the effect of household characteristics. There were significant urban-rural disparities in CBHI enrollment in Ethiopia. Factors such as age and education of the household head, family size, number of under-five children, region of the household, and wealth status of the household contributed to the disparities attributed to the endowment, and region of the household was the contributing factor for the disparities due to the effect of household characteristics. Therefore, the concerned body should design strategies to enhance equitable CBHI enrollment in urban and rural households.

SARS-CoV-2 correlates of protection from infection against variants of concern.

Serum neutralizing antibodies (nAbs) induced by vaccination have been linked to protection against symptomatic and severe coronavirus disease 2019. However, much less is known about the efficacy of nAbs in preventing the acquisition of infection, especially in the context of natural immunity and against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immune-escape variants. Here we conducted mediation analysis to assess serum nAbs induced by prior SARS-CoV-2 infections as potential correlates of protection against Delta and Omicron infections, in rural and urban household cohorts in South Africa. We find that, in the Delta wave, D614G nAbs mediate 37% (95% confidence interval: 34-40%) of the total protection against infection conferred by prior exposure to SARS-CoV-2, and that protection decreases with waning immunity. In contrast, Omicron BA.1 nAbs mediate 11% (95% confidence interval: 9-12%) of the total protection against Omicron BA.1 or BA.2 infections, due to Omicron's neutralization escape. These findings underscore that correlates of protection mediated through nAbs are variant specific, and that boosting of nAbs against circulating variants might restore or confer immune protection lost due to nAb waning and/or immune escape. However, the majority of immune protection against SARS-CoV-2 conferred by natural infection cannot be fully explained by serum nAbs alone. Measuring these and other immune markers including T cell responses, both in the serum and in other compartments such as the nasal mucosa, may be required to comprehensively understand and predict immune protection against SARS-CoV-2.

Ownership, Patterns of Use and Electricity Consumption of Domestic Appliances in Urban Households of the West African Monetary and Economic Union: A Case Study of Ouagadougou in Burkina Faso

Ownership, Patterns of Use and Electricity Consumption of Domestic Appliances in Urban Households of the West African Monetary and Economic Union: A Case Study of Ouagadougou in Burkina Faso

Sectoral impacts of climate change in Iran: A dynamic analysis with emphasis on agriculture

Iranian agriculture, the largest consumer of water, is highly vulnerable to sever climate change-induced droughts. This study aimed to analyze the impact of climate change on various sectors, with a focus on agricultural output and gross domestic product (GDP). To achieve this, a dynamic Computable General Equilibrium (CGE) model incorporating a climate damage function was utilized to project the consequences of climate change on various sectors of Iran's economy. The damage function is based on the temperature anomaly. This study simulated the impact of shocks caused by climate scenarios by 2060. The modified Social Accounting Matrix served as the primary dataset for CGE modeling. By simulating climate scenarios up to 2060, the findings indicated that certain agricultural products, such as cereals and livestock, have the potential for an annual output expansion of 2–3.5 % under the most severe climatic scenarios. This expansion is attributed to their lower reliance on capital inputs and their increased final demand for agricultural commodities. Conversely, the growth rates of output expansion and final demand for services products are lower than those for agricultural products. With climate change options, there may be a shift in output composition, favoring crops, agricultural industries, and energy products, while the growth of services output remains comparatively lower. The GDP growth path also deviates from the current path of 1.8 %, reaching rates of 1.5–1.7 %. In the most restrictive scenario, the GDP is projected to decline in the mid-2050s. Similarly, the range for consumption growth is estimated to be 1.8–2.1 %. Climate change does not significantly alter the income distribution within rural and urban income groups. However, it exacerbates rural-urban inequality by favoring urban households with higher consumption levels. The current state of the Iranian economy, especially the agricultural sector, faces increased vulnerability due to climate change. Nevertheless, certain agricultural activities may experience a relatively greater increase in output because of the growing demand for these products.

Analysis of energy supply, energy policies, and the final energy end-use consumption of the residential sector in Ethiopia

The residential sector in Ethiopia heavily relies on biomass for cooking, using inefficient cookstoves. In order to assess energy policies and decision-making for better economic development, it is essential to have final energy consumption by end-use. However, there is a lack of readily accessible data on residential energy end-use. Our study fills this gap by using data collected from surveys of 590 urban households in Ethiopia, estimating their energy end-use consumption, and analyzing their determinants. The annual final energy consumption per household is about 7.2 MWh, where 90 % is for cooking, baking, tea/coffee boiling end-uses, and only 2.3 % for lighting. The analysis reveals that income has the strongest effect on energy consumption for Injera baking and on miscellaneous end-uses, both directly and partly indirectly as a mediating variable. The study highlights the importance of end-use consumption data to plan energy efficiency, mix technology options, and make suitable policy interventions.

Households’ access and expenditure on water services: Examining intra-urban differences in the Accra metropolis, Ghana

Despite years of investment into the water sector in Ghana, access to and expenditure on potable water for drinking and domestic use remain a challenge for most urban households. However, within the urban context, the severity of water challenges varies from one residential community to another, with less research attention often given to such intra-urban differences. To address this gap, this study examines differences in household access and expenditure on pipe-borne water in three varying socio-economic residential communities in Accra. The study used a convergent mixed method design and drew on secondary literature, to examine the differences in households' access to and expenditure on water. The findings revealed that Jamestown, a low-income residential community, had the lowest connection to the Ghana Water Company Limited (GWCL) grid, with many respondents depending on pipe-borne water outside dwellings operated by private water retailers. While the findings showed no significant differences in the regularity of flow and expenditure on water among the three varying socio-economic communities, the paper argues that low-income communities such as Jamestown are likely to be more affected due to existing socio-economic deprivation and vulnerability contexts. Based on the study findings, we recommend that efforts be made to increase investment in water infrastructure to enable households to connect to the GWCL grid. Attention should also be given to low-income households, who often lack the means to pay for services that will enable them to connect to the GWCL grid. Further, we recommend improved collaboration between local communities and GWCL as a way of fostering strategies that address the peculiar water challenges in local communities.

The Driving Factors of Food Waste in Chinese Urban Households: A Qualitative Study Based on Grounded Theory

Food waste has become an increasingly common and serious global problem, affecting the guarantee of food security in China and the sustainable development of the national agricultural and food system. Urban households are the main source of food waste on the consumer side. Given China’s unique culture, economy, and social environment, the drivers of food waste in urban households need to consider broader social, psychological, and situational factors in order to provide a basis for formulating and implementing targeted policy measures. This article conducts a grounded theoretical analysis of semi-structured interview data from 56 urban households in China and constructs a driving factor model for food waste in urban households in the Chinese context. Research has found that the influencing factor system of food waste in Chinese urban households includes seven interrelated main categories. Among them, risk perception has a direct effect on responsibility awareness and behavioral tendencies, responsibility awareness and environmental pressure have a direct effect on behavioral tendencies, behavioral tendencies have a direct effect on behavioral choices, perception barriers play a moderating role in the impact of risk perception on responsibility awareness and behavioral tendencies, and behavioral constraints play a moderating role in the impact of behavioral tendencies on behavioral choices. This study enriches the research on the mechanism of food waste behavior in Chinese households, providing scientific basis for the formulation of intervention strategies for food waste in Chinese households, and also providing reference for revealing the mechanism of food waste behavior in other countries with similar cultural backgrounds.

Will the miniaturization of household size promote household carbon emissions in China? Analysis based on CFPS data

As the proportion of household carbon emissions to global carbon emissions continues to increase, reducing carbon emissions from household consumption has become an important way to achieve the goals of carbon peaking and carbon neutrality. How the trend of miniaturization of household size will affect household carbon emissions is a matter of concern. This paper uses a sample of 9,090 households from the China Family Panel Studies (CFPS) database in 2018 to empirically study the impact of changes in household size on household carbon emissions, from the perspective of household consumption structure and urban-rural areas. The research results indicate that the miniaturization of household size will increase household carbon emissions, the impact of household size on indirect HCEs is greater than on direct HCEs. The impact of household size on indirect HCEs is heterogeneous in consumption structure and the impact of household size on indirect HCEs from housing, transportation is greater than that of other consumption items. The impact of household size on urban household carbon emissions is greater than that in rural areas. The upgrading of household consumption structure and the miniaturization of household size promote the increase of HCEs jointly. Therefore, this paper proposes that under the trend of household miniaturization, energy-saving and emission reduction policies should focus on reducing indirect households carbon emissions, optimizing household structure and household consumption structure, enhancing environmental awareness among family members, establishing and improving the green consumption system, and building environment-friendly households.

The strategies pursued by urban households to cope with food insecurity: Insights from selected towns in Southern Ethiopia.

Food security has become a major global concern, particularly in urban areas where households are struggling to address the issue of basic necessities mainly food that crucially dictates human health. Overcoming these challenges will require effective management mechanisms to inform policy interventions and enhance resilience at both local and global levels. This study aimed to explore the coping strategies (CS) pursued by urban households in the Southern Ethiopia. Furthermore, the focus is on how households to cope with food insecurity and how using these strategies varies within households. A household survey questionnaire was conducted using a cross-sectional design, combining both qualitative and quantitative methods to collect data. A total of 310 household heads were targeted for the required data acquisition with: The coping strategy index (CSI) to capture how people perceive and cope with food insecurity that threatens human health. The results indicate that households used the top seven CS to address the problem of food insecurity: limiting the size of portions at mealtimes (83.9%), depending on less expensive or seasonal foods (68.1%), reducing adult consumption (66.1%), reducing the amount of food consumed (65.8%), purchasing food on credit (60.3%), renting household assets (54.8%), and migrating household members for wage labor (53.5%). Moreover, the finding shows that the frequency of CS used by urban households in response to food insecurity is rated differently as never, rarely, sometimes, and more than 4 times per week. Therefore, targeted support programs for vulnerable groups should be implemented to ensure they receive adequate food during times of food insecurity wherein the victims' health status is imperatively to be bettered.

Food safety concerns and purchase choices among poor households in the urbanising global south: the case of Dhaka, Bangladesh

This article looks into the daily food shopping practices of poor urban households in Dhaka, Bangladesh. A practice theory-based approach is used to explore their coping strategies in response to food safety concerns. By applying an exploratory sequential mixed-method approach, two groups of shoppers are compared: recently arrived migrants and established residents, as recently arrived migrants are expected to face an unfamiliar food shopping environment and therefore need to reconsider their daily food shopping practices. The results describe the elements of food shopping practices: food items, retail outlets, affordability, social networks, and relations to work. We identified the absence of freshness, undesirable substances, and the need for more information about the production process as the primary food safety concerns. Among both shopper groups, the harmful consequence of applying the chemical 'formalin' to food is considered the most prominent food safety concern. Major coping strategies include identifying (un)safe food, proactive selection, and establishing and maintaining social relationships. The two groups have similarities and differences in using skills and competencies to mitigate their food safety concerns in everyday shopping practices. Recently arrived migrants have to adapt to urban lifestyles and reconfigure their food safety concerns into their daily food shopping practices.

The household, the citizen and the city: towards a social history of urban politics in the late Middle Ages

ABSTRACT Histories of politics in the late medieval European town present a struggle between town oligarchs and town citizens. While the conclusions that historians draw differ, the stakes of politics are the same: exclusion, participation and representation in town government. Politics is the ‘public’ domain of officeholding, elections and voting, its actors exclusively male, its locations the council chamber, the craft guild, the workshop. Starting and ending with the evidence of a 1532 ‘insurrection of women’ in the English city of Norwich, this article seeks to reconceptualise town politics in the late Middle Ages. Its premise is that urban citizenship was a social and performative practice as much as a formal legal and political status. It argues that the relationship between home, household and family was fundamental to the lived experience of citizenship. The urban household was a complex source of political agency, where the official separation between citizen and non-citizen was difficult to sustain. The 1532 insurrection of women allows us to connect the politics of the household to the politics of the town hall and to write a social history of town politics, in which women were political actors.

Research on the impact and heterogeneity of housing on the allocation of financial assets of households: Evidence from China

This paper investigates the impact of housing with both consumption and investment attributes on the risky financial asset allocation of households, constructs Probit and Tobit models using 2019 China Household Finance Survey (CHFS) data, and proceeds to the mediation effect test and heterogeneity analysis. Results indicate that owning only one house exhibits a crowding-out effect on the risky financial asset allocation of urban households, with the degree of risk preference as the mediating effect mechanism, while owning multiple houses exhibits an asset allocation effect. Housing borrowing other than bank loans inhibits urban households from making risky financial asset allocations. The effect of housing on risky financial asset allocation is heterogeneous by income, age, and region.