- Huang, Jie, David Levinson, Jiaoe Wang, Haitao Jin (2019) Job-worker spatial dynamics in Beijing: Insights from Smart Card Data. Cities 86 89-93 [doi]
- We evaluated the ratio of jobs to workers from Smart Card Data at the transit station level in Beijing.
- A year-to-year evolutionary analysis of job to worker ratios was conducted at the transit station level.
- We classify general cases of steepening and flattening job-worker dynamics.
- The paper finds that only temporary balance appears around a few stations in Beijing.
- Job-worker ratios tend to be steepening rather than flattening from 2011 to 2015.
As a megacity, Beijing has experienced traffic congestion, unaffordable housing issues and jobs-housing imbalance. Recent decades have seen policies and projects aiming at decentralizing urban structure and job-worker patterns, such as subway network expansion, the suburbanization of housing and firms. But it is unclear whether these changes produced a more balanced spatial configuration of jobs and workers. To answer this question, this paper evaluated the ratio of jobs to workers from Smart Card Data at the transit station level and offered a longitudinal study for regular transit commuters. The method identifies the most preferred station around each commuter’s workpalce and home location from individual smart datasets according to their travel regularity, then the amounts of jobs and workers around each station are estimated. A year-to-year evolution of job to worker ratios at the station level is conducted. We classify general cases of steepening and flattening job-worker dynamics, and they can be used in the study of other cities. The paper finds that (1) only temporary balance appears around a few stations; (2) job-worker ratios tend to be steepening rather than flattening, influencing commute patterns; (3) the polycentric configuration of Beijing can be seen from the spatial pattern of job centers identified.
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