scholarly journals Mapping urban living standards in developing countries with energy consumption data

2021 ◽  
Author(s):  
Felix Agyemang ◽  
Sean Fox ◽  
Rashid Memon
Keyword(s):  
Developing Countries ◽  
Urban Areas ◽  
Urban Poverty ◽  
Universal Access ◽  
Electricity Consumption ◽  
Living Standards ◽  
Consumption Data ◽  
Residential Electricity ◽  
Block Level ◽  
Night Lights

Data deficits in developing countries impede evidence-based urban planning and policy, as well as fundamental research. We show that residential electricity consumption data can be used to partially address this challenge by serving as a proxy for relative living standards at the block or neighbourhood scale. We illustrate this potential by combining infrastructure and land use data from Open Street Map with georeferenced data from ~2 million residential electricity meters in the megacity of Karachi, Pakistan to map median electricity consumption at block level. Equivalent areal estimates of economic activity derived from high-resolution night lights data (VIIRS) are shown to be a poor predictor of intraurban variation in living standards by comparison. We argue that electricity data are an underutilised source of information that could be used to address empirical questions related to urban poverty and development at relatively high spatial and temporal resolution. Given near universal access to electricity in urban areas globally, this potential is significant

scholarly journals The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Changho Shin ◽  
Eunjung Lee ◽  
Jeongyun Han ◽  
Jaeryun Yim ◽  
Wonjong Rhee ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Sampling Rate ◽  
Electricity Consumption ◽  
Consumption Pattern ◽  
Additional Information ◽  
Consumption Data ◽  
Energy Disaggregation ◽  
Residential Electricity ◽  
Residential Electricity Consumption

Abstract AMI has been gradually replacing conventional meters because newer models can acquire more informative energy consumption data. The additional information has enabled significant advances in many fields, including energy disaggregation, energy consumption pattern analysis and prediction, demand response, and user segmentation. However, the quality of AMI data varies significantly across publicly available datasets, and low sampling rates and numbers of houses monitored seriously limit practical analyses. To address these challenges, we herein present the ENERTALK dataset, which contains both aggregate and per-appliance measurements sampled at 15 Hz from 22 houses. Among the publicly available datasets with both aggregate and per-appliance measurements, 15 Hz was the highest sampling rate. The number of houses (22) was the second-largest where the largest one had a sampling rate of 1 Hz. The ENERTALK dataset is also the first Korean open dataset on residential electricity consumption.

Are the Unemployed Part of the Urban Poverty Problem in Latin America?

1994 ◽  
Vol 26 (3) ◽  
pp. 713-736 ◽  
Author(s):  
John Humphrey
Keyword(s):  
Developing Countries ◽  
Puerto Rico ◽  
Urban Areas ◽  
Urban Poverty ◽  
The Philippines ◽  
Formal Sector ◽  
Unemployment Rates ◽  
Long Period ◽  
The Unemployed ◽  
The Needy

For a long period, the consensus in development studies argued that the unemployed in urban areas were not part of the poverty problem. It was argued in the 1970s that open unemployment in developing countries was not, in general, a serious social problem. This was not because rates of open unemployment were low in urban areas – Turnham cited open unemployment rates in urban areas of over ten per cent for countries as diverse as Ghana, Guyana, Panama, Puerto Rico, Ceylon (Sri Lanka), Korea and the Philippines. Rather, it was argued that the unemployed were not poor. They were predominantly the relatively well-educated young, who were waiting to find good jobs, or migrants ‘queuing’ for work in the formal sector, or people temporarily out of work as they moved from one job to another. The urban informal sector or agriculture would provide jobs for those really needing work. Therefore, the ‘needy’ would not remain in open unemployment for long. Long periods of open unemployment would be luxury, available only to the better-off.

scholarly journals Electricity consumption of Singaporean households reveals proactive community response to COVID-19 progression

2021 ◽  
Vol 118 (34) ◽  
pp. e2026596118
Author(s):  
Gururaghav Raman ◽  
Jimmy Chih-Hsien Peng
Keyword(s):  
Influencing Factor ◽  
Electricity Consumption ◽  
Community Response ◽  
Energy Meter ◽  
Consumption Data ◽  
Government Mandates ◽  
Residential Electricity ◽  
Residential Electricity Consumption ◽  
Positive Correlations ◽  
City State

Understanding how populations’ daily behaviors change during the COVID-19 pandemic is critical to evaluating and adapting public health interventions. Here, we use residential electricity-consumption data to unravel behavioral changes within peoples’ homes in this period. Based on smart energy-meter data from 10,246 households in Singapore, we find strong positive correlations between the progression of the pandemic in the city-state and the residential electricity consumption. In particular, we find that the daily new COVID-19 cases constitute the most dominant influencing factor on the electricity demand in the early stages of the pandemic, before a lockdown. However, this influence wanes once the lockdown is implemented, signifying that residents have settled into their new lifestyles under lockdown. These observations point to a proactive response from Singaporean residents—who increasingly stayed in or performed more activities at home during the evenings, despite there being no government mandates—a finding that surprisingly extends across all demographics. Overall, our study enables policymakers to close the loop by utilizing residential electricity usage as a measure of community response during unprecedented and disruptive events, such as a pandemic.

scholarly journals Data analysis approach for characterizing residential energy consumption based on statistics of household appliances ownership

2021 ◽  
Author(s):  
J.P. Chavat ◽  
S. Nesmachnow
Keyword(s):  
Data Analysis ◽  
Census Data ◽  
Electricity Consumption ◽  
Least Square ◽  
Analysis Approach ◽  
Residential Energy ◽  
The West ◽  
Data Set ◽  
Consumption Data ◽  
Residential Electricity

Worldwide, residential electricity demand has increased constantly, expecting to double in 2050 the demand of 2010. Different policies have been proposed to achieve a smart use of electricity. This article presents a data-analysis approach to evaluate the potential household electricity consumption from statistical data. The main axis of the study are statistics of appliance ownership and information of the appliance characteristics, gathered from census surveys and local shops. An index to estimate the electricity consumption is performed. The validation of the proposed index is carried out using real consumption data from the Electricity Consumption Data set of Uruguay and Ordinary Least Square linear regressions. Jupyter notebooks, Python language and well-know libraries such as Pandas and Numpy were used during the implementation. The main results show that administrative regions located on the West/Southwest coastlines present the highest index scores. In turn, census sections/segments on the West/Southwest coastlines of Montevideo performed the highest scores while the lowest scores can be found at the outskirts of the city. The proposed methodology can be applied for electricity consumption estimation in other regions/countries where census data is publicly available.

scholarly journals Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa

2020 ◽  
Vol 32 (2) ◽  
Author(s):  
Wiebke Toussaint ◽  
Deshendran Moodley
Keyword(s):  
South Africa ◽  
Domain Knowledge ◽  
Expert Knowledge ◽  
External Validation ◽  
Electricity Consumption ◽  
Consumption Data ◽  
Residential Electricity ◽  
Energy Domain ◽  
Term Energy ◽  
Residential Electricity Consumption

Clustering is frequently used in the energy domain to identify dominant electricity consumption patterns of households, which can be used to construct customer archetypes for long term energy planning. Selecting a useful set of clusters however requires extensive experimentation and domain knowledge. While internal clustering validation measures are well established in the electricity domain, they are limited for selecting useful clusters. Based on an application case study in South Africa, we present an approach for formalising implicit expert knowledge as external evaluation measures to create customer archetypes that capture variability in residential electricity consumption behaviour. By combining internal and external validation measures in a structured manner, we were able to evaluate clustering structures based on the utility they present for our application. We validate the selected clusters in a use case where we successfully reconstruct customer archetypes previously developed by experts. Our approach shows promise for transparent and repeatable cluster ranking and selection by data scientists, even if they have limited domain knowledge.

‘Top-down’ planning for scalable sustainable sanitation in high-density low-income urban areas: is it more appropriate than ‘bottom-up’ planning?

2018 ◽  
Vol 8 (2) ◽  
pp. 165-175 ◽  
Author(s):  
Duncan Mara
Keyword(s):  
Developing Countries ◽  
Low Income ◽  
Urban Areas ◽  
Universal Access ◽  
Low Cost ◽  
High Density ◽  
Top Down ◽  
Bottom Up ◽  
The Sustainable Development ◽  
Sanitation Systems

Abstract We argue that, if the sanitation target of the Sustainable Development Goals (universal access to ‘safely-managed’ sanitation by 2030) is to have any chance of success, then a community-sensitive top-down planning approach has to be adopted for sanitation provision in high-density low-income urban areas in developing countries, as ‘bottom-up’ planning is much more time-consuming and not yet successfully proven at scale. In high-density low-income urban areas, there is only a limited choice for safely-managed sanitation: (i) simplified/condominial sewerage (which becomes cheaper than on-site sanitation systems at the relatively low population densities of 160–200 people per ha), (ii) low-cost combined sewerage (if it is cheaper than separate simplified sewerage and stormwater drainage), (iii) community-managed sanitation blocks, and (iv) container-based sanitation (the last two of which are suitable, especially in slums, when neither simplified sewerage nor low-cost combined sewerage is affordable or technically feasible). These four sustainable sanitation options are as scalable in developing countries as conventional sewerage has been in industrialized countries.

scholarly journals Domestic Electricity Consumption in Mexican Metropolitan Areas under Climate Change Scenarios

2021 ◽  
Author(s):  
Adalberto Tejeda Martínez ◽  
Irving Rafael Méndez Pérez ◽  
Daniela Alejandra Cruz Pastrana
Keyword(s):  
Climate Change ◽  
Urban Areas ◽  
Metropolitan Areas ◽  
Electricity Consumption ◽  
The United States ◽  
Urban Heat Islands ◽  
Climate Change Scenarios ◽  
Heat Islands ◽  
Residential Electricity ◽  
Bioclimatic Conditions

The following estimates analyse human bioclimatic conditions due to climate change in three time horizons, as suggested by Article 2 of the Paris Agreement. Each scenario corresponds to an increase in the global average temperature (∆T) of 1 ºC, 1.5 ºC and 2 ºC, respectively. The measurements of residential electricity consumption for air conditioning were made in 30 metropolitan areas of Mexico with at least half a million inhabitants in 2010. Bioclimatic conditions also included estimates of the effects of urban heat islands (UHI). Use of heating will decrease and, in some cases, disappear, while the need for cooling will increase. Electricity consumption due to cooling is expected to increase in Mexicali, Reynosa-Río Bravo (on the border with the United States), Cancún, Villahermosa, and Veracruz (on the shores of the Caribbean Sea and the Gulf of Mexico). Urban areas like Toluca, Pachuca, Xalapa, San Luis Potosí, and Puebla-Tlaxcala used little or no energy for cooling in the second decade of the 21st century but will need to do so halfway through the century.

PERAN MASYARAKAT TERHADAP PEMBAYARAN RETRIBUSI SAMPAH DI KOTA SAMARINDA

2018 ◽  
Vol 2 (1) ◽  
pp. 33
Author(s):  
Abd Rachim AF,
Keyword(s):  
Waste Management ◽  
Population Growth ◽  
Frequency Analysis ◽  
Urban Areas ◽  
Relative Frequency ◽  
Environmental Problems ◽  
Living Standards ◽  
The Public ◽  
And Behavior

One of the environmental problems in urban areas is the pollution caused by garbage. The waste problem is caused by various factors such as population growth, living standards changes, lifestyles and behavior, as well as how the waste management system. This study aims to determine how the role of society to levy payments garbage in Samarinda. This research was descriptive; where the data is collected then compiled, described and analyzed used relative frequency analysis. The participation of the public to pay a "levy junk", which stated to pay 96.67%, for each month and the rates stated society cheap, moderate and fairly, respectively 46.08%, 21.21%, 21.04%. Base on the data , the role of the community to pay "levy junk" quite high.

The Status of Livelihood Vulnerability and Its CopingCapacities of Urban Squatters in Kathmandu Metropolitan City, Nepal

Patan Pragya ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 19-32
Author(s):  
Chhabi Ram Baral
Keyword(s):  
Data Collection ◽  
Urban Area ◽  
Urban Areas ◽  
Quantitative Methods ◽  
Urban Poverty ◽  
Rural Poverty ◽  
Poor People ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
The Status

Urban poverty is one of multidimensional issue in Nepal. Increasing immigration from the outer parts of Kathmandu due to rural poverty, unemployment and weak security of the lives and the properties are core causes pushing people into urban areas. In this context how squatter urban area people sustain their livelihoods is major concern. The objectives of the study are to find out livelihood assets and capacities squatters coping with their livelihood vulnerability in adverse situation. Both qualitative and quantitative methods are applied for data collection. It is found that squatters social security is weak, victimized by severe health problems earning is not regular with lack of physical facilities and overall livelihood is critical. This study helps to understand what the changes that have occurred in livelihood patterns and how poor people survive in urban area.

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