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

  • Danwen Bao Nanjing University of Aeronautics and Astronautics
  • Tangyi Guo Nanjing University of Science and Technology
  • Hongshan Xia
Keywords: spatial mismatch, job accessibility, commuting time, MNL model

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.

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Danwen Bao, Nanjing University of Aeronautics and Astronautics
Collage of Civil Aviation
Tangyi Guo, Nanjing University of Science and Technology
School of Automation

References

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.

Published
2014-06-13
How to Cite
1.
Bao D, Guo T, Xia H. Impacts of spatial mismatch on commuting time of urban residents in China. Promet [Internet]. 2014Jun.13 [cited 2024Nov.21];26(3):227-33. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/1385
Section
Articles