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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data
ترجمه فارسی عنوان مقاله:
تنوع فضایی خودباوری و تعادل شغل-مسکن در شنژن با استفاده از داده های بزرگ سیار
منبع:
Sciencedirect - Elsevier - Journal of Transport Geography, 68 (2018) 102-108: doi:10:1016/j:jtrangeo:2017:12:006
نویسنده:
Xingang Zhoua,b, Anthony G.O. Yehb,⁎, Yang Yuec
چکیده انگلیسی:
Self-containment of employment and jobs-housing balance have been used to examine commuting patterns from
different perspectives. Appropriate jobs-housing ratio may achieve high self-containment. However, self-con
tainment may be affected by other factors. In this study, the spatial variation of self-containment of employment
and jobs–housing balance is examined with job types, location, and housing prices using the cellphone data in
Shenzhen, China. Jobs–housing balance is found to be more important in self-containment of employment for
secondary-sector workers compared with that for tertiary-sector workers. Secondary-sector workers tend to
reside near their workplaces because of relatively balanced jobs and housing, whereas tertiary-sector workers
tend to reside farther away from their workplaces to save housing cost. The study enhances our understanding of
self-containment of employment and jobs-housing balance which is primarily based on Western cities.
Keywords: Self-containment of employment ، Jobs–housing balance ، Spatial variation ، Cellphone data
قیمت: رایگان
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