2013
DOI: 10.1016/j.compenvurbsys.2012.09.001
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The linkage between the lifestyle of knowledge-workers and their intra-metropolitan residential choice: A clustering approach based on self-organizing maps

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Cited by 41 publications
(28 citation statements)
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References 37 publications
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“…3 and 4 reflects location selectivity: the central districts of fewer than a dozen cities are represented in the upper quintile tracts, while suburban, peri-urban, and rural areas are predominantly represented in the lower quintile. This spatial distribution, along with the associations revealed in this study, lends support to certain well-known phenomena, such as likeminded individuals' tendency to gather in places with particular attributes (Atkinson 2006;Frenkel et al 2013). Even with Millennials' aptitude with communication technologies that reduce the need for geographic propinquity (Rainer and Rainer 2011;Burstein 2013), the clustering of older Millennials in urban and central locations in the Bay Area suggests that "place" remains important.…”
Section: Model Resultssupporting
confidence: 74%
See 1 more Smart Citation
“…3 and 4 reflects location selectivity: the central districts of fewer than a dozen cities are represented in the upper quintile tracts, while suburban, peri-urban, and rural areas are predominantly represented in the lower quintile. This spatial distribution, along with the associations revealed in this study, lends support to certain well-known phenomena, such as likeminded individuals' tendency to gather in places with particular attributes (Atkinson 2006;Frenkel et al 2013). Even with Millennials' aptitude with communication technologies that reduce the need for geographic propinquity (Rainer and Rainer 2011;Burstein 2013), the clustering of older Millennials in urban and central locations in the Bay Area suggests that "place" remains important.…”
Section: Model Resultssupporting
confidence: 74%
“…This could be examined indirectly through residence factors such as housing costs or householder incomes. Household composition, for example, may be important in identifying the types of people living in Census tracts with high numbers of Gen Y residents, since the composition of the household and the life roles of household members play a role in the kind of housing desired (Frenkel et al 2013). A closer look at the local labor market as a driver of geographic relocation is also warranted, given the Bay Area's unique role in the global economy.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, SOMs have been used in the biological sciences (Tamayo et al 1999), in the financial sector (Deboeck and Kohonen 1998), in the human sciences (Frenkel et al 2012) and in the sport sciences (Grunz et al 2012). SOMs have been used to forecast exchange rates (Khashei and Bijari 2012), time series (Simon et al 2005;Hsu et al 2010) and traffic flows (Van der Voort et al 1996).…”
Section: Self-organising Mapsmentioning
confidence: 99%
“…Yet, it is interesting that the average household size among CCDs (mean = 1.65), did not vary significantly between 2000 and 2010, suggesting that family structure -particularly the enduring pattern of fewer and smaller families within central urban neighbourhoods -did not change appreciably over the decade. Clearly, there still exists a strong life cycle element, with families generally preferring suburban locations with child-oriented amenities such as large yards and parks, shopping centres, quiet residential subdivisions, and highachieving schools (Frenkel, Bendit, & Kaplan, 2013;Lawton et al, 2013;van Oort, Weterings, & Verlinde, 2003). However, as more people live alone and have fewer children (US Census Bureau, 2013), the convenience of proximity -especially to work and to entertainment -inherent in urban environments is likely to become increasingly advantageous for those in their middle years and at the peak of their professional careers.…”
Section: Demographic Indicatorsmentioning
confidence: 99%
“…While CCDs are clearly a magnet for human capital as measured by educational attainment, analyses using occupation-based measures (including the examination herein of workers with creative-knowledge occupations) have likewise indicated that highly skilled workers are particularly attracted to central urban neighbourhoods, as well as low-density suburban and exurban areas, depending on life style preferences and life cycle stage (Florida, 2013;Frenkel et al, 2013;Lawton et al, 2013;McGranahan & Wojan, 2007). This polarization of human and creative capital in gentrified older neighbourhoods and new suburban enclaves in metropolitan America has paralleled a rise in income inequality and residential segregation by income in recent decades (Fry & Taylor, 2012;Watson, 2009).…”
Section: Economic Indicatorsmentioning
confidence: 99%