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Çelik, Ali Kemal, and Betül Tamer. "Household’s Fuel Type Choice for Space Heating in Türkiye: A Comparison of Multinomial Logit and Multinomial Probit Models." International Journal of Energy Economics and Policy 14, no. 6 (2024): 651–64. http://dx.doi.org/10.32479/ijeep.17253.

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Better understanding of households’ fuel type choice behaviour for residential heating, cooking, or lighting purposes would provide valuable information in estimating households’ energy use and in developing efficient fuel switching and energy saving policies; these solutions could include reducing consumption and utilising renewable energy sources. This paper aims to explore potential determinants of household’s fuel choice for residential heating in Türkiye. Using nineteenth wave of Household Budget Survey which was administered to 11,828 households and 40,688 individuals throughout the cou
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Estiri, Hossein, and Andy Krause. "A Cohort Location Model of household sorting in US metropolitan regions." Urban Studies 55, no. 1 (2016): 71–90. http://dx.doi.org/10.1177/0042098016668783.

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In this paper we propose a household sorting model for the 50 largest US metropolitan regions and evaluate the model using 2010 Census data. To approximate residential locations for household cohorts, we specify a Cohort Location Model (CLM) built upon two principle assumptions about housing consumption and metropolitan development/land use patterns. According to our model, the expected distance from the household’s residential location to the city centre(s) increases with the age of the householder (as a proxy for changes in housing career over life span). The CLM provides a flexible housing-
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Park, Hwan-Su, and Jae-Su Lee. "A Comparative Study of Residential Mobility Patterns and Characteristics of Households by Life Cycle Stage:Household Mobility between 2001 and 2020 in the Seoul Metropolitan Region." Korean Association of Urban Policies 13, no. 4 (2022): 5–31. http://dx.doi.org/10.21447/jusre.2022.13.4.5.

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This study compares and analyzes changes of housing movement patterns by stage of life cycle in the Seoul metropolitan region over the past 20 years. It also aims to understand the direction and the amount of movement by life cycle stage from the perspective of housing consumer. In addition, the reason for classifying residential mobility by stage of the life cycle is that the age of the householder, marital status, the relationship between the householder and the household member, and the age of the household member affected the change in residential mobility pattern. And the reasons for resi
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Marsh, Kris, and John Iceland. "The Racial Residential Segregation of Black Single Living Alone Households." City & Community 9, no. 3 (2010): 299–319. http://dx.doi.org/10.1111/j.1540-6040.2010.01338.x.

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While many studies have examined the intersection of race and class with residential segregation and residential preferences, little is known about the role played by household composition in shaping residential patterns. This article focuses on the residential patterns of a particular kind of household: those consisting of persons single and living alone (SALA). We compare the residential segregation of black SALA households—an important subset of nonfamily households and a rapidly growing segment of the population—from white SALA households and from both white and black married–couple househ
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Abdul Fattah, Hamizah, and Nurwati Badarulzaman. "RESIDENTIAL PREFERENCES IN RESIDENTIAL LOCATION CHOICE." Malaysian Journal of Sustainable Environment 5, no. 2 (2018): 41. http://dx.doi.org/10.24191/myse.v5i2.5616.

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Residential mobility attempts to address problems on households' life adjustments or the mismatch between residents' present needs and housing consumption. The desired preferences of each household may be complex to determine, but the trends or preferences in a residential area can be captured. Residential location choice stimulates residential mobility decision on the selection of a particular area. This study aims to identify residential preferences on relocation using a selected sample of 323 households in Penang who intend to move in the near future. Results show that residents prefer to m
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Narayana Palety, Badari, and C. Mahalakshmi. "Analysing the Residential Electricity Consumption using Smart Meter." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 2s (2022): 36–49. http://dx.doi.org/10.17762/ijritcc.v10i2s.5910.

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A massive amount of electricity usage may be accessed on an everyday and hourly basis due to the advancement of smart power measuring technology. Electricity demand management and utility load management are made easier by energy usage forecasts. The majority of earlier studies have concentrated on the power consumption of business clients or residential buildings, or they have experimented with individual household electricity usage using behavioral and occupant sensor information. This study used smart meters to examine energy usage at a single household level to enhance residential energy s
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Kim, Saehim, Joonwon Hwang, and Myeong-Hun Lee. "Effect of Housing Support Programs on Residential Satisfaction and the Housing Cost Burden: Analysis of the Effect of Housing Support Programs in Korea Based on Household Attributes." Land 11, no. 9 (2022): 1392. http://dx.doi.org/10.3390/land11091392.

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Korea is implementing housing support programs such as public rental housing and housing allowances to improve the housing welfare of low-income households. In this study, we empirically analyzed the effects of the public rental housing program and the housing allowance program on residential satisfaction and the housing cost burden of policy beneficiaries. In accordance with household attributes, we analyzed how the status of using these programs affected each group’s residential satisfaction and housing cost burden. We used the data from the 2020 Korea Housing Survey conducted by the Ministr
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Gomaa, Mohammed M. "Macro-Level Factors Shaping Residential Location Choices: Examining the Impacts of Density and Land-Use Mix." Land 12, no. 4 (2023): 748. http://dx.doi.org/10.3390/land12040748.

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Many published papers have delved into the factors affecting the residential location choices of households using various logit models. Nonetheless, only a few pieces of literature have attempted to examine those associative attributes from a macroscopic view. Thus, this article investigates the factors that influence households’ preference to reside in densely populated locations or regions with a wide variety of land-use types using ordered choice models (ORM). This study proposes three indicators that are reflective of residential areas, namely population density, housing density, and land-
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Romanach, Lygia, and Elisha Frederiks. "Understanding the Key Determinants of Residential Firewood Consumption in Australia: A Nationwide Household Survey." Energies 14, no. 20 (2021): 6777. http://dx.doi.org/10.3390/en14206777.

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A range of energy sources are used by households across the globe, including electricity, gas, solar, and wood. While there is a large body of international research aimed at understanding household energy use in general, very few studies have focused on the specific topic of residential firewood consumption. In Australia, empirical research to investigate and quantify residential firewood consumption is scarce and outdated, despite the importance of such research for better understanding overall household energy costs and carbon emissions. Unlike other power sources, such as electricity, gas
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Ruranga, Charles, and Scott Hacker. "The Determinants of Households Having Savings Accounts in Rwanda." Rwanda Journal of Social Sciences, Humanities and Business 1, no. 1 (2020): 6–19. http://dx.doi.org/10.4314/rjsshb.v1i1.2.

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This paper analyses the determinants of Rwandan households having savings accounts using Integrated Household Living Conditions Survey (IHLCS) data of 2010/11. After a background discussion and literature review an empirical analysis is presented with different variables adopted and analysed as determinants of household’s head having savings accounts. Poverty level, age, gender, residential area and level education of household head (literate or not) were considered as independent variables of the study. Findings from the estimations of logit models indicate the likelihood of a household havin
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Ali Ahmed, Huson. "INCOME EXPECTATIONS, CREDIT TO HOUSEHOLDS, AND PROPERTY PRICES: EVIDENCE FROM INDONESIA AND BRAZIL." Buletin Ekonomi Moneter dan Perbankan 23 (January 31, 2020): 33–60. http://dx.doi.org/10.21098/bemp.v23i0.1174.

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We investigate the long-term cointegration relation between residential property prices,household credit expansion, and household income expectations and identify thechannels through which income expectation impacts residential property prices in theshort term for Indonesia and Brazil. We find that improved income expectations raisethe demand for credit, impacting residential property prices. Similar improvementsin income expectations also serve as important indicators for credit policy decisions,making more funding available to the household sector against the backdrop of risingproperty price
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Leonard, Tammy, Amy E. Hughes, and Sandi L. Pruitt. "Understanding How Low–Socioeconomic Status Households Cope with Health Shocks." ANNALS of the American Academy of Political and Social Science 669, no. 1 (2016): 125–45. http://dx.doi.org/10.1177/0002716216680989.

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Low–socioeconomic status (SES) households have little income or wealth to buffer against the negative impacts of adverse health events among adult household members. This research project links data from a nonprofit food distribution center, electronic medical records from a safety-net healthcare system, and publicly available residential appraisals for more than 3,000 households to provide insight into how low-SES households cope with health shocks experienced by resident adults. Three broad types of strategies are examined: changes in household structure, residential mobility, and use of soc
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Morales Martínez, Daniel, and Alexandre Gori Maia. "The Effect of Social Behavior on Residential Water Consumption." Water 13, no. 9 (2021): 1184. http://dx.doi.org/10.3390/w13091184.

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We analyze how residential water consumption is influenced by the consumption of households belonging to the same social group (peer effect). Analyses are based on household-level data provided by the Brazilian Household Budget Survey and use an innovative strategy that estimates the spatial dependence of water consumption while simultaneously controlling for potential sources of sample selectivity and endogeneity. The estimates of our quantile regression models highlight that, conditional on household characteristics, the greater the household water consumption, the greater the peer effect. I
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Usanga, I. N., R. K. Etim, and V. Umoren. "Estimation of trip generation rates for residential land use in Uyo, Nigeria." Nigerian Journal of Technology 39, no. 4 (2021): 972–80. http://dx.doi.org/10.4314/njt.v39i4.2.

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Change in trip rates affects a transportation system and could lead to the redesign of the transport infrastructure in order to satisfy the new demand. This study estimates trip generation rates for residential land use in Uyo using cross classification method. Five (5) residential estates were considered and household survey carried out to collect trip data from 500 households on purpose and mode of travel through household interview and their response recorded in questionnaire. Four independent variables (household size, household income, car ownership, number of employed persons) were used
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Gholami, Roya, Rohit Nishant, and Ali Emrouznejad. "Modeling Residential Energy Consumption." Journal of Global Information Management 29, no. 2 (2021): 166–93. http://dx.doi.org/10.4018/jgim.2021030109.

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Smart meters that allow information to flow between users and utility service providers are expected to foster intelligent energy consumption. Previous studies focusing on demand-side management have been predominantly restricted to factors that utilities can manage and manipulate, but have ignored factors specific to residential characteristics. They also often presume that households consume similar amounts of energy and electricity. To fill these gaps in literature, the authors investigate two research questions: (RQ1) Does a data mining approach outperform traditional statistical approache
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Mangsor, Nur Azzlin, and Low Sheau-Ting. "ENERGY KNOWLEDGE IN INFLUENCING HOUSEHOLD’S ENERGY CONSERVATION BEHAVIOUR." Journal of Tourism, Hospitality and Environment Management 6, no. 26 (2021): 215–22. http://dx.doi.org/10.35631/jthem.626019.

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Malaysia needs to ensure stable energy consumption to improve environmental quality and energy security. The increasing trend of the country’s population growth and economic development are parallel with the country’s overall energy demand. The building sector, commercial and residential sector has contributed to more than 12% of the country's final energy consumption in the year 2018. The energy demand from the household sector is on an increasing trend. The residential sector is responsible for the increasing trend of energy consumption with the improvement of lifestyle and living standards.
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Krizek, Kevin J., and Paul Waddell. "Analysis of Lifestyle Choices: Neighborhood Type, Travel Patterns, and Activity Participation." Transportation Research Record: Journal of the Transportation Research Board 1807, no. 1 (2002): 119–28. http://dx.doi.org/10.3141/1807-15.

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Activity-based travel modeling has begun to make significant progress toward a more behavioral framework for simulating household travel behavior. A significant challenge remains in the need to address the interaction of daily activity and travel patterns with longer-term household choices of vehicle ownership, residential location, and employment location. The choices often depend on one another and jointly define the lifestyle of the household. These choices are likely to evolve over the course of the life cycle as households are formed; as children are born, raised, and ultimately depart to
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Lee, Dae Wol, and yeol Choi. "Analyzing the Distance of Residential Mobility according to the Household and Residential Environment Characteristics: Focused on Busan Metropolitan City." Korea Real Estate Society 65 (September 30, 2022): 153–72. http://dx.doi.org/10.37407/kres.2022.40.3.153.

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The purpose of this study is to empirically analyze the impact of household and neighborhood characteristic on the distance of intra-urban mobility. For purpose of this study analysis is performed on residential mobility conducted in the city of Busan. Residential mobility is an important factor that relocates sociological and demographic capital, and it could sometimes lead to significant urban issues.
 A number of studies have focused on residential mobility, but most of them have concentrated on its relationship with household characteristic and they focus on how many people or househo
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Morency, Catherine, and Hubert Verreault. "Assessing the Efficiency of Household Residential Location Choices." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 11 (2020): 455–65. http://dx.doi.org/10.1177/0361198120946023.

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As part of strategic plans, we often see car dependency reduction vision along with strategies to reduce car use and vehicle-kilometers traveled while promoting alternatives such as transit and active modes. It is less common to see strategies to generate more structural changes, even if such change can have much more important and sustainable impacts. Whereas it is well known that home location is one of the key drivers of travel behaviors, it is much less frequent to have planners put forward strategies to encourage people to move and choose their locations more wisely with respect to their
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Auffhammer, Maximilian, and Catherine D. Wolfram. "Powering up China: Income Distributions and Residential Electricity Consumption." American Economic Review 104, no. 5 (2014): 575–80. http://dx.doi.org/10.1257/aer.104.5.575.

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Current forecasts suggest that the vast majority of growth in energy demand will come from the developing world, and that China will play a major part in that growth. This paper presents evidence suggesting that the shape of the income distribution, which is typically omitted from forecasting models, plays a major role in driving household acquisition of energy-using durable goods in rural China. We use province-level data for rural households to show that the share of the population living above the poverty line is an important determinant of household appliance holdings even controlling for
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Kimutai, Stephen K., Zachary O. Siagi, and Paul M. Wambua. "Determinants of Household Energy Utilization and Changing Behaviour in Kenya: Structural Equation Modelling Approach." European Journal of Energy Research 2, no. 4 (2022): 1–9. http://dx.doi.org/10.24018/ejenergy.2022.2.4.19.

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Knowing the determinants of household utilization and changing behaviour is an important element in understanding the pathways towards clean, sustainable and modern household energy sources. This study, therefore, examines the drivers of household energy usage and choices in Western Kenya using structural equation modelling from 560 sampled households. The research was carried out in Western Kenya (Uasin Gishu and Bungoma counties) from a target household of 663,000. Data was collected using a structured questionnaire and were analyzed to find standard estimate (path coefficients), standard er
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Goyette, Kimberly, John Iceland, and Elliot Weininger. "Moving for the Kids: Examining the Influence of Children on White Residential Segregation." City & Community 13, no. 2 (2014): 158–78. http://dx.doi.org/10.1111/cico.12058.

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White households with children are the least likely of all household types to live in integrated neighborhoods, yet few researchers have questioned whether children themselves influence residential decision–making. Children may affect both residential preferences and constraints and in turn, household mobility decisions that shape patterns of segregation and integration. Following a cohort of household heads in the Panel Study of Income Dynamics, we find that white households whose oldest child is younger than six are more likely to move when the percentage of black residents and diversity in
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Alyasa, Faisal Madjid, Ahmad Komarulzaman, and Harlan Dimas Isjwara. "Who emits more emission? the association between CO2 emissions and socio-economics characteristics of Indonesian household." Jurnal Ekonomi & Studi Pembangunan 25, no. 1 (2024): 167–87. http://dx.doi.org/10.18196/jesp.v25i1.20326.

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Much research has been done on identifying socio-economic household links in developed countries. However, the study of household carbon emission (HCE) levels and related variables still needs to be examined, especially in developing countries. The study uses an ordinary least squares model to pinpoint the socio-economic elements that affect a household's carbon emission levels. SUSENAS (National Socio-economic Survey) data from March 2019 and 2021, covering 655,694 households, were used. This study used ordinary least squares (OLS) for the regression and dominance analyses (DA) to determine t
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Perez, Rafael, and Benjamin Widner. "Measures of Residential Energy Access in Mexico, 2008–2014." Economics and Business 35, no. 1 (2021): 30–56. http://dx.doi.org/10.2478/eb-2021-0003.

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Abstract The concept of energy access in developing countries, such as Mexico, encompasses the accessibility to reliable fuels for heating, cooking, and lighting purposes while reducing coal and firewood consumption. This paper suggests residential energy access indicators by applying accessibility theory and estimating demand equations for electricity, natural gas, propane, firewood, and coal using Mexican households’ survey data from 2008 to 2014. Sprawl measures, gravity model, and central place theory are the accessibility theories supporting the accessibility indicators. The suggested ene
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Borenstein, Severin. "Energy Hogs and Energy Angels: What Does Residential Electricity Use Really Tell Us about Profligate Consumption?" AEA Papers and Proceedings 115 (May 1, 2025): 357–62. https://doi.org/10.1257/pandp.20251111.

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High residential volumetric electricity prices are partially justified as placing more of the cost burden on less prudent households, so-called “energy hogs.” I show that the difference in means between above-median and below-median household consumption declines by 60-90 percent after adjusting for three factors: number of household occupants, local climate variation, and adoption of rooftop solar. Failure to make these adjustments disproportionately hurts low-income households. Focusing on residential electricity is especially problematic because nationally it accounts for less than 15 perce
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Hengzhou, Xu, and Liu Yuexi. "Policy implications and impact of household registration system on Peasants’ Willingness to return rural residential lands: Evidence from household survey in rural China." Panoeconomicus 63, no. 1 (2016): 135–46. http://dx.doi.org/10.2298/pan1601135h.

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Despite a growing body of literature on China?s household registration system and rural land transfer, few studies have examined the impact of the household registration system on peasants? willingness to return rural residential land. This paper aims to fill this gap and uses household survey data to measure the impacts of household registration system on peasants? willingness to return rural residential land. The results show that the household registration system reduced the farmers? enthusiasm to exit the rural residential land, that is, household registration system had a significant nega
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Heres, David R., and Rafael Dávila Bugarín. "The impact of urban form on vehicle fuel consumption in Mexican metropolitan areas." Ekonomiaz. Revista vasca de Economía 97, no. 1 (2020): 240–63. https://doi.org/10.69810/ekz.1347.

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In this study we analyze the impact that two measures of the urban form – residential density and the land use diversity index – have on gasoline consumption in households located in metropolitan areas of Mexico. The econometric specification implemented is a modified two-part model that fits the distribution of gasoline consumption, while mitigating the endogeneity bias resulting from residential self-selection. The results from the instrumental variables specification, suggest that after controlling for household characteristics increasing residential density in the vicinity of the household
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Yao, Mingzhu, and Donggen Wang. "Modeling household relocation choice: An egalitarian bargaining approach and a comparative study." Journal of Transport and Land Use 14, no. 1 (2021): 625–45. http://dx.doi.org/10.5198/jtlu.2021.1733.

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Accompanying the rapid urban expansion and fast population growth is a progressive trend of residential relocation in developing countries, which necessitates a thorough understanding of households’ relocation decisions. Previous studies generally treated home relocation as an individual or unitary household decision, ignoring the interactive and collaborative decision-making mechanisms that household members may adopt when making group decisions. In view of this research gap, this study examines the feasibility of applying the egalitarian bargaining approach to simulating households’ group de
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Pan, Wenxiang, Baodeng Hou, Ruixiang Yang, et al. "Conceptual Framework and Computational Research of Hierarchical Residential Household Water Demand." Water 10, no. 6 (2018): 696. http://dx.doi.org/10.3390/w10060696.

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Although the quantity of household water consumption does not account for a huge proportion of the total water consumption amidst socioeconomic development, there has been a steadily increasing trend due to population growth and improved urbanization standards. As such, mastering the mechanisms of household water demand, scientifically predicting trends of household water demand, and implementing reasonable control measures are key focuses of current urban water management. Based on the categorization and characteristic analysis of household water, this paper used Maslow’s Hierarchy of Needs t
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Fathy, Yasmin, Mona Jaber, and Zunaira Nadeem. "Digital Twin-Driven Decision Making and Planning for Energy Consumption." Journal of Sensor and Actuator Networks 10, no. 2 (2021): 37. http://dx.doi.org/10.3390/jsan10020037.

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The Internet of Things (IoT) is revolutionising how energy is delivered from energy producers and used throughout residential households. Optimising the residential energy consumption is a crucial step toward having greener and sustainable energy production. Such optimisation requires a household-centric energy management system as opposed to a one-rule-fits all approach. In this paper, we propose a data-driven multi-layer digital twin of the energy system that aims to mirror households’ actual energy consumption in the form of a household digital twin (HDT). When linked to the energy producti
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Kim, Hyoung-jum, and Mun-su Park. "A Study on the Determinants of Household Characteristics by Generation." Residential Environment Institute Of Korea 21, no. 2 (2023): 29–42. http://dx.doi.org/10.22313/reik.2023.21.2.29.

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The purpose of this study is to investigate the determinants based on the current household characteristics for the correct asset composition and selection according to the household characteristics of each generation. This study analyzed the determinants that reveal statistical differences according to the characteristics of each generation divided into the younger generation, the middle-aged generation, and the older generation. In the case of determinant function 1, it appeared in the form of occupation, and the household characteristics of determinant function 2 were total assets, total de
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Xie, Yixuan, and Azlin Iryani Mohd Noor. "Factors Affecting Residential End-Use Energy: Multiple Regression Analysis Based on Buildings, Households, Lifestyles, and Equipment." Buildings 12, no. 5 (2022): 538. http://dx.doi.org/10.3390/buildings12050538.

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Building characteristics, household compositions, lifestyles, and home equipment are recognized as the main factors influencing residential energy consumption, which has been a subject of extensive exploration for many years now. However, the quantitative correlation models between the above factors and residential end-use energy have not been fully studied. This paper aims to explore the determinants of residential end-use energy consumption by a comprehensive analysis based on the factors of building characteristics, household compositions, lifestyles, and home equipment. For this purpose, w
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Kebede, Adane, Magnus Jirström, Alemayehu Worku, et al. "Residential Food Environment, Household Wealth and Maternal Education Association to Preschoolers’ Consumption of Plant-Based Vitamin A-Rich Foods: The EAT Addis Survey in Addis Ababa." Nutrients 14, no. 2 (2022): 296. http://dx.doi.org/10.3390/nu14020296.

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Vitamin A deficiency is common among preschoolers in low-income settings and a serious public health concern due to its association to increased morbidity and mortality. The limited consumption of vitamin A-rich food is contributing to the problem. Many factors may influence children’s diet, including residential food environment, household wealth, and maternal education. However, very few studies in low-income settings have examined the relationship of these factors to children’s diet together. This study aimed to assess the importance of residential food availability of three plant-based gro
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Yang, Feiyang, and Yufang Xian. "Building an Energy Efficiency System for Residential Households in the Context of Quantitative Feedback." Scientific and Social Research 4, no. 5 (2022): 12–19. http://dx.doi.org/10.26689/ssr.v4i5.3868.

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The way in which households consumed electricity largely influences the total amount of energy used. This paper uses questionnaires to obtain information on the daily electricity consumption behavior of 1,140 households. A comprehensive analysis was used to determine the residential electricity consumption pattern. The study showed that, the traditional residential household electricity consumption patten has some effect on the energy saving strategies, however, it did not provide any scientific or rational information loop system overall. The quantitative feedback platform can be used to impr
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Wong, Zun Yuan, Suhal Kusairi, and Zairihan Abdul Halim. "Household consumption and indebtedness: Are there disparities between genders, rural–urban areas, and among income groups?" Economics & Sociology 16, no. 3 (2023): 30–43. http://dx.doi.org/10.14254/2071-789x.2023/16-3/2.

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Recently, household debt has been steadily increasing across the globe. Household consumption is an essential factor in household debt, along with households' characteristics, such as their location, the gender of the household head, and their income group. Therefore, this research investigates the disparities in the impacts of households' characteristics on their indebtedness and consumption. The study utilizes the Household Expenditure and Income Survey conducted in 2019 by the Department of Statistics of Malaysia, which included a simple random sample of 4,730 households. A simultaneous equ
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Sutanto, Wiliyanti, Mayumi Sakaguchi, Eka Rastiyanto Amrullah, Aris Rusyiana, and Akira Ishida. "Accurate targeting in the Indonesian RASKIN program." International Journal of Social Economics 47, no. 11 (2020): 1363–79. http://dx.doi.org/10.1108/ijse-03-2020-0124.

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PurposeUsing nationally representative data, this study estimated the probability of a household receiving RASKIN rice in general as well as the rate of excluding poor households and including nonpoor households in relation to the targeting accuracy of the RASKIN program.Design/methodology/approachThe data came from the National Socioeconomic Survey conducted by the Central Bureau of Statistics in March 2015. Several independent variables were included, such as the head of household's age, gender and marital status, in addition to highest educational level among family members, household size,
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Lee, Dalbyul. "Effect of Local Fire Risks and Preventive Measures on the Installation of Residential Firefighting Systems in Detached House." Journal of the Korean Society of Hazard Mitigation 24, no. 5 (2024): 173–82. http://dx.doi.org/10.9798/kosham.2024.24.5.173.

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This study analyzes the major factors affecting the installation of residential firefighting systems in detached houses. In particular, it investigates the dependence of local fire risk and local government prevention efforts, along with housing and household characteristics, on the type of installation. This study used data from the 2020 Population and Housing Census, the first nationwide survey on residential firefighter system installation, and employed multinomial logistic regression analysis. The analysis results revealed that less than half of households had installed all firefighting sy
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Pei, Yiming. "Research on the Impact of Digital Technology Application on Households Calculation Based on Household Digital Penetration Index." Advances in Economics, Management and Political Sciences 74, no. 1 (2024): 98–112. http://dx.doi.org/10.54254/2754-1169/74/20241521.

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With the widespread popularization of digital technology and its continuous penetration into family life, the impact of digital technology on the national economy and residents' lives has gradually emerged. Based on the CFPS database, this article uses the A-F model to measure the household digital penetration index, explores the popularity and application of digital technology in households, and uses an empirical model to analyze the impact of the household digital penetration index on household income, consumption and income gaps. Research results show that digital technology has increasingl
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Sari, Nilam Anggar, and Raudatul Adawiyah. "The Impact of 900VA Electricity Tariff Adjustment on Household Consumption." Economics Development Analysis Journal 8, no. 2 (2019): 200–214. http://dx.doi.org/10.15294/edaj.v8i2.31124.

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The aim of this study was to analyze the impact of 900 VA electricity tariff adjustments on household consumption patterns in East Borneo. This policy potentially increased the poverty, considering that in the last few years, East Borneo had experienced a contraction in economic growth. The analysis of this study used the Linear Approximation of Almost Ideal Demand System (LA/ AIDS), and the concept of elasticity to reach the objectives of this study using Susenas in 2016 and 2017. The results of the analysis showed that the policy indirectly had more impact on all residential electricity cust
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ADERIBIGBE, Oluwayemi-Oniya, and Trynos GUMBO. "MODELLING THE VARIATION IN THE MOBILITY PATTERN OF HOUSEHOLDS IN THE URBAN AND RURAL AREAS OF NIGERIA." Scientific Journal of Silesian University of Technology. Series Transport 117 (December 1, 2022): 5–21. http://dx.doi.org/10.20858/sjsutst.2022.117.1.

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There is evidence that rural areas are disadvantaged in mobility compared to urban areas. Hence, this study examined spatial variation in the travel pattern of households in urban and rural areas of Nigeria. This study used primary data obtained through questionnaire administration on household heads in the residential zones of both urban and rural areas studied, using the multi-stage sampling technique. Findings revealed that variations exist for age, education level, income level, and occupation in urban and rural areas, and household's average daily mean trip frequency showed a level of few
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Zhou, Jianyu, and Tingju Zhu. "Optimization of the Water–Energy–Carbon Nexus in the Residential Water Uses of Shanghai, China." Sustainability 16, no. 9 (2024): 3529. http://dx.doi.org/10.3390/su16093529.

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Residential water use in urban areas directly affects household energy consumption and associated carbon emissions. Reducing residential water use through water saving can lead to substantial energy saving and lower carbon emissions. Household choices in water appliances and fixtures and water-use behaviors shape water consumption patterns. This paper presents a study in Shanghai, China, where the water consumption structure of households was analyzed through a comprehensive survey. In addition, a season-differentiated water–energy–carbon nexus optimization model with Monte Carlo simulation wa
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Teymoori, Narjes, and Mahta Mirmoghtadaee. "The impacts of demographic transition on embodied energy consumption and typology of residential buildings: the case study of Tehran’s Region 5." Journal of Sustainable Architecture and Civil Engineering 31, no. 2 (2022): 125–37. http://dx.doi.org/10.5755/j01.sace.31.2.31194.

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Changes in the structural characteristics of the population, such as age structure, household size, and number of households indicate shifts in the population age structure, moving from the younger towards the older populations and result in the reduction of household size. Former extended families have turned into a nuclear and even one-person household. Shifts in household status, both household composition, and household size lead to the formation of a new housing typology. It can affect the type, number, and floor area of ​​residential units as well as the amount of embodied energy used in
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Johnson, Rhodri D., Lucy J. Griffiths, Joe P. Hollinghurst, et al. "Deriving household composition using population-scale electronic health record data—A reproducible methodology." PLOS ONE 16, no. 3 (2021): e0248195. http://dx.doi.org/10.1371/journal.pone.0248195.

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Background Physical housing and household composition have an important role in the lives of individuals and drive health and social outcomes, and inequalities. Most methods to understand housing composition are based on survey or census data, and there is currently no reproducible methodology for creating population-level household composition measures using linked administrative data. Methods Using existing, and more recent enhancements to the address-data linkage methods in the SAIL Databank using Residential Anonymised Linking Fields we linked individuals to properties using the anonymised
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Ferreyra, Maria Marta. "Estimating the Effects of Private School Vouchers in Multidistrict Economies." American Economic Review 97, no. 3 (2007): 789–817. http://dx.doi.org/10.1257/aer.97.3.789.

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This paper estimates a general equilibrium model of school quality and household residential and school choice for economies with multiple public school districts and private (religious and nonsectarian) schools. The estimates, obtained through full-solution methods, are used to simulate two large-scale private school voucher programs in the Chicago metropolitan area: universal vouchers and vouchers restricted to nonsectarian schools. In the simulations, both programs increase private school enrollment and affect household residential choice. Under nonsectarian vouchers, however, private schoo
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Baharudin, Fauzi, Nurin Aqilah Mokhtar, Nurhidayah Hamzah, Siti Nurulhuda Mohd Imran, and Auni Hamimi Idris. "Quantifying Urban Carbon Footprints: Analyzing the Impact of Residential Lifestyles in Shah Alam, Selangor." PaperASIA 41, no. 2b (2025): 14–23. https://doi.org/10.59953/paperasia.v41i2b.251.

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In recent decades, there have been significant changes in the residents' lifestyle and the composition of their consumption. Consumption in urban households is increasingly important, contributing to an increase in carbon emissions. This study employed questionnaires to analyze CO2 emissions based on the daily activities of urban households and to estimate the total CO2 emissions per household in Shah Alam. A web-based carbon footprint calculator was used to determine the amount of carbon emissions produced as a result of direct and indirect residential consumption, which included the househol
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Ali, Muhammad, Krishneel Prakash, Carlos Macana, et al. "Modeling Residential Electricity Consumption from Public Demographic Data for Sustainable Cities." Energies 15, no. 6 (2022): 2163. http://dx.doi.org/10.3390/en15062163.

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Demographic factors, statistical information, and technological innovation are prominent factors shaping energy transitions in the residential sector. Explaining these energy transitions requires combining insights from the disciplines investigating these factors. The existing literature is not consistent in identifying these factors, nor in proposing how they can be combined. In this paper, three contributions are made by combining the key demographic factors of households to estimate household energy consumption. Firstly, a mathematical formula is developed by considering the demographic det
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Hou, Tingting, Rengcun Fang, Jinrui Tang, et al. "A Novel Short-Term Residential Electric Load Forecasting Method Based on Adaptive Load Aggregation and Deep Learning Algorithms." Energies 14, no. 22 (2021): 7820. http://dx.doi.org/10.3390/en14227820.

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Short-term residential load forecasting is the precondition of the day-ahead and intra-day scheduling strategy of the household microgrid. Existing short-term electric load forecasting methods are mainly used to obtain regional power load for system-level power dispatch. Due to the high volatility, strong randomness, and weak regularity of the residential load of a single household, the mean absolute percentage error (MAPE) of the traditional methods forecasting results would be too big to be used for home energy management. With the increase in the total number of households, the aggregated l
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Ismail, Y. "Study of Household Willingness to Pay to Improve Solid Waste Management at Residential." IOP Conference Series: Earth and Environmental Science 940, no. 1 (2021): 012049. http://dx.doi.org/10.1088/1755-1315/940/1/012049.

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Abstract Households at residential paid for the facilities of solid waste, but usually unsatisfied service. This study aimed to evaluate the household willingness to pay for solid waste management facilities and analyze the model of willingness to pay for solid waste management facilities at Cikarang residential. Quantitative research with a survey using a questionnaire to collect the data. The population used was housewife live at Cikarang residential at least recent five years and manage the solid waste from her house. Data analysis using multiple regression to find that the household willin
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Zhao, Linlin, Zhansheng Liu, and Jasper Mbachu. "Energy Management through Cost Forecasting for Residential Buildings in New Zealand." Energies 12, no. 15 (2019): 2888. http://dx.doi.org/10.3390/en12152888.

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Over the last two decades, the residential building sector has been one of the largest energy consumption sectors in New Zealand. The relationship between that sector and household energy consumption should be carefully studied in order to optimize the energy consumption structure and satisfy energy demands. Researchers have made efforts in this field; however, few have concentrated on the association between household energy use and the cost of residential buildings. This study examined the correlation between household energy use and residential building cost. Analysis of the data indicates
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Zapata, Oscar. "More Water Please, It's Getting Hot! The Effect of Climate on Residential Water Demand." Water Economics and Policy 01, no. 03 (2015): 1550007. http://dx.doi.org/10.1142/s2382624x15500071.

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Climate change is expected to alter the supply and demand for water in the residential sector. Existing studies exploit the differences in climate across seasons mostly in North America and Europe, and identify changes in consumption levels attributed only to households' short-term responses. The results from models that simulate household consumption of water are sensitive to the parameters that govern the behavior of climate variables and household responses in the upcoming decades, and fail to consider short-term determinants of water consumption. The findings in the literature suggest an i
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