Let's Connect
Follow Us
Watch Us
(+385) 1 2380 262
journal.prometfpz.unizg.hr
Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

PUBLISHED
13.06.2014
LICENSE
Copyright (c) 2024 Danwen Bao, Tangyi Guo, Hongshan Xia

Impacts of spatial mismatch on commuting time of urban residents in China

Authors:Danwen Bao, Tangyi Guo, Hongshan Xia

Abstract

In much of studies on spatial mismatch between residential and employer locations, job accessibility has been measured. However, the apparent disadvantages of the traditional measurement methods on the studies of Chinese cities have been noted.  This paper proposed an optimized method for job accessibility measurement by introducing the weigh coefficient of job opportunity, which quantifies the degree of uneven distribution of job opportunity in the Chinese cities. Take Nanjing city for example, this new method was used to measure the spatial distribution of job opportunity, investigate the spatial patterns and analyze the influences of job accessibility on commuting behavior. The results show that the distribution of job accessibility in Nanjing exhibits the different spatial patterns and mechanisms compared with US cases.

Keywords:spatial mismatch, job accessibility, commuting time, MNL model

References

  1. Kain JF. Housing segregation, Negro unemployment and metropolitan segregation. Quarterly Journal of Economics. 1968;82(2):175-197.

    Wilson WJ. The Truly Disadvantaged: The Inner City, the Underclass, and Public Policy. Chicago, IL: University of Chicago Press; 1987. p. 3-10.

    McLafferty S, Preston V. Spatial mismatch and employment in a decade of restructuring. Professional Geographer. 1996;48(4):420-431.

    Taylor BD, Ong PM. Spatial mismatch or automobile mismatch: An examination of race, residence and commuting in US metropolitan areas. Urban Studies. 1995;32(9):1453-1473.

    Song J, Wang E, Zhang W, Peng P. Housing suburbanization and employment spatial mismatch in Beijing. Acta Geographica Sinica. 2007;62(4):387-396.

    Meng B. The spatial organization of the separation between jobs and residential locations in Beijing. Acta Geographica Sinica. 2009;64(12):1457-1466.

    Li Q, Li X. Characteristics of commuting travel of residents in suburban communities in Beijing. Urban Problems. 2007;7:55-59.

    Wang D, Chai Y. The job-housing relationship and commuting in Beijing, China: The legacy of Danwei. Journal of Transport Geography. 2009;17(1):38-38.

    Liu Z, Zhang Y, Chai Y. Home-work separation in the context of institutional and spatial transformation in urban China: Evidence from Beijing household survey data. Urban Studies. 2009;16(9):123-130.

    Wang M, Song G, Xu J. Data mining on commuting distance mode of urban residents based on the analysis of decision tree. Geographical Research. 2009;28(6):1516-1527.

    Gordon P, Kumar A, Richardson HW. The spatial mismatch hypothesis: Some new evidence. Urban Studies. 1989;26(3):315-326.

    Wyly EK. Race, gender, and spatial segmentation in the twin cities. Professional Geographer. 1996;48(4):431-444.

    DeRango K. Can commutes be used to test the spatial mismatch hypothesis?. Urban Studies. 2001;38(9):1521-1529.

    Ong P, Blumenberg E. Job access, commute and travel burden among welfare recipients. Urban Studies. 1998;35(1):77-93.

    Shen Q. Location characteristics of inner-city neighborhoods and employment accessibility of low-wage workers. Environment and Planning B. 1998;25(3):345-365.

    Hansen WG. How Accessibility Shapes Land Use. Journal of the American Institute of Planners. 1959;25(2):73-76.

Show more


Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal