Exploring job centers by accessibility using fuzzy set approach: the case study of the Columbus MSA

Kim, Chang-Joo; Sang, Sunhee; Ban, Hyowon

doi:10.1007/s10708-013-9501-2

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…When analyzing the relationship between urban structures and commuting, a critical part is how to delineate urban structures. Several studies delineate urban structures at micro levels, employing street connectivity, walkability, mixed land use, and residential density (Ewing, Pendall, and Chen 2003; Handy 1996; Scholossberg et al 2006; Zegras 2004; Zhang 2004), while other studies focus on macrolevels in light of distribution of population, job centers, distance from central business district (CBD), job-to-resident ratios, job proximity, excess commuting, and percentage of employees working in urban cores (Cervero 1996; Giuliano and Small 1991; Hu and Wang 2016; Kim, Sang, and Ban 2014; Ma and Banister 2007; Sohn 2005; F. Wang 2000; Yang et al 2012).…”

Section: Introductionmentioning

confidence: 99%

The Changes of Urban Structure and Commuting: An Application to Metropolitan Statistical Areas in the United States

Yao

Kim

2017

International Regional Science Review

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While urban structures have been delineated at the regional level, few works have explored the impact of urban structures on commuting at this same level. This article studies how urban structures affect commuting from 2000 to 2010. It applies a spatial statistical tool, standard deviation ellipses, to capture spatial patterns of jobs and residential workers for metropolitan statistical areas (MSAs). Two urban structure indexes are constructed to illustrate different decentralization levels of employment with reference to the distribution of residential workers; one illustrates the spatial decentralization of high job density nodes, while the other shows the spatial decentralization of moderate job density nodes. Commuting times of two modes by private cars and public transit are analyzed along with the number of commuters. The results highlight three findings: (1) MSAs become more compact in terms of employment distribution, (2) more decentralized high-density nodes lead to less total commuting times, and on the other hand, more decentralized moderate job density nodes contribute to longer commuting times, and (3) the decentralization of high job density nodes is associated with less commuting time of private cars, while they have insignificant effect on commuting time of public transit.

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