2015
DOI: 10.1080/02723638.2015.1005921
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“Phasic” metropolitan settlers: a phase-based model for the distribution of households in US metropolitan regions

Abstract: In this article, we develop a model for explaining spatial patterns in the distribution of households across metropolitan regions in the United States. First, we use housing consumption and residential mobility theories to construct a hypothetical probability distribution function for the consumption of housing services across three phases of household life span. We then hypothesize a second probability distribution function for the offering of housing services based on the distance from city center(s) at the … Show more

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Cited by 11 publications
(19 citation statements)
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References 35 publications
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“…In other words, this perspective uses life-cycle changes and life course approaches to understand why household structures play a role in residential attainment. Households move due to changing housing needs created by different family composition throughout the life cycle [37,38]. …”
Section: Introductionmentioning
confidence: 99%
“…In other words, this perspective uses life-cycle changes and life course approaches to understand why household structures play a role in residential attainment. Households move due to changing housing needs created by different family composition throughout the life cycle [37,38]. …”
Section: Introductionmentioning
confidence: 99%
“…Notable examples include the work of Estiri et al (2015) and Estiri and Krause (2016), whose papers examine the relationships between residential location within metropolitan areas and the life course. In both papers, they find that younger households are more likely to reside near to the urban core, whereas older households are more prevalent on the fringes.…”
Section: Distance Profiles Of American Citiesmentioning
confidence: 99%
“…Previous research has shown that older [5,14,28,9,10,18], larger [19,29,12,9], detached housing units [12,18,16,7,28,3] consume more energy than newer, smaller, multifamily housing units. These physical factors, however, work in tandem with households' sociodemographic characteristics [8,9,11].…”
Section: Introductionmentioning
confidence: 99%
“…Like most other sociodemographic determinants of energy consumption, the effects of income and age on energy consumption are intertwined with other factors such as housing characteristics [19,30,26,1,9,11]. The elderly show different attitudes in the use of appliances and housing choices (e.g., they may live in old owned homes) than the younger households, and therefore their energy consumption is different [43].…”
Section: Introductionmentioning
confidence: 99%