Subcenters in the los angeles region
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In this article, the authors investigate employment subcenters in the Los Angeles region using 1980 Census journey-to-work data and find a surprising dominance of downtown Los Angeles and three large sub-centers with which it forms a nearly contiguous corridor.About:
This article is published in Regional Science and Urban Economics.The article was published on 1991-07-01 and is currently open access. It has received 779 citations till now.read more
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Urban spatial structure.
TL;DR: Anas et al. as discussed by the authors discuss the role that urban size and structure play in people's lives and how to understand the organization of cities, which yields insights about economy-wide growth processes and sheds light on economic concepts.
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Why do the poor live in cities? The role of public transportation ✩
TL;DR: More than 19 percent of people in American central cities are poor and just 7.5% of people live in poverty in suburban areas as discussed by the authors, and the urbanization of poverty comes mainly from better access to public transportation in central cities.
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Quantifying Urban Form: Compactness versus 'Sprawl'
TL;DR: The authors developed a set of quantitative variables to characterise urban forms at the metropolitan level and distinguish compactness from'sprawl' and developed a global Moran coefficient, which characterises the fourth dimension of urban form.
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Is the Journey to Work Explained by Urban Structure
Abstract: Basic to several key issues in current urban economic theory and public policy is a presumption that local imbalances between employment and residential sites strongly influence people's commuting patterns. We examine this presumption by finding the commuting pattern for the Los Angeles region in 1980 which would minimise average commuting time or distance, given the actual spatial distributions of job and housing locations. We find that the amount of commuting required by these distributions is far less than actual commuting, and that variations in required commuting across job locations only weakly explain variations in actual commuting. We conclude that other factors must be more important to location decisions than commuting cost, and that policies aimed at changing the jobs-housing balance will have only a minor effect on commuting.
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Nonparametric Employment Subcenter Identification
TL;DR: In this article, a two-stage procedure is proposed for identifying urban employment subcenters, where the first stage identifies candidate sub-centers as significant positive residuals in a smoothed employment density function.
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Cluster analysis
TL;DR: Cluster analysis is a multivariate procedure for detecting natural groupings in data that resembles discriminant analysis in one respect—the researcher seeks to classify a set of objects into subgroups although neither the number nor members of the subgroups are known.
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Cluster Analysis in Marketing Research: Review and Suggestions for Application:
Girish Punj,David W. Stewart +1 more
TL;DR: In this article, alternative methods of cluster analysis are presented and evaluated in terms of recent empirical work on their performance in marketing problems, and they are compared to the traditional methods of clustering.
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Multiple equilibria and structural transition of non-monocentric urban configurations☆
Masahisa Fujita,Hideaki Ogawa +1 more
TL;DR: In this paper, a model of non-monocentric urban land use is presented, which requires neither employment nor residential location to be specified a priori, and is capable of yielding multicentric pattern as well as monocentric and dispersed patterns, and generally yields multiple equilibria under each fixed set of parameter values.
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Metropolis: From the Division of Labor to Urban Form
TL;DR: The origins, dynamics, and internal order of the modern metropolis have been investigated in this article, where the authors show how the metropolis emerges out of the basic mechanisms of production and work in contemporary society, and how those mechanisms guide general patterns of urban development.
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The identification of urban employment subcenters
TL;DR: In this paper, the authors proposed empirical criteria for the identification of urban employment subcenters, and used gross employment density (employment divided by total land area) and the employment-population ratio as the best measures to identify an urban zone as an employment subcenter.