论文
arXiv
Trajectory
Mobility
中文标题
基于简历数据的大尺度空间中人类迁移模式研究
English Title
Human migration patterns in large scale spatial with the resume data
Qi Nie, Jian-Jun Wu, Xiao-Yong Yan, Jin-Hu Liu, Jun Wang
发布时间
2018/8/27 17:02:33
来源类型
preprint
语言
en
摘要
中文对照

人类移动性研究已在多个方面取得显著进展,但由于难以获取家庭层面数据,对长期、长距离迁移行为的深入而广泛的研究仍显不足。本文利用简历数据探究大尺度空间下的人类迁移行为。研究发现,城市间吸引力差异导致人口流动结构呈现不对称性,反映出人口竞争的影响;该流动结构可近似由空间经济学中的引力模型描述。此外,引力模型中距离函数的标度指数值小于短期出行行为对应的值,表明相较于短期出行行为,长期人类迁移行为对距离的敏感性更低。本文还考察了引力模型中各变量的标度系数,结果表明经济水平是影响迁移的主要因素。

English Original

Researches on the human mobility have made great progress in many aspects, but the long-term and long-distance migration behavior is lack of in-depth and extensive research because of the difficult in accessing to household data. In this paper, we use the resume data to discover the human migration behavior on the large scale scope. It is found that the asymmetry in the flow structure which reflects the influence of population competition is caused by the difference of attractiveness among cities. This flow structure can be approximately described by the gravity model of spatial economics. Besides, the value of scaling exponent of distance function in the gravity model is less than the value of short-term travel behavior. It means that, compared with the short-term travel behavior, the long-term human migration behavior is less sensitive. Moreover, the scaling coefficients of each variable in the gravity model are investigated. The result shows that the economic level is a mainly factor on the migration.

元数据
arXiv1808.08741v1
来源arXiv
类型论文
抽取状态raw
关键词
Trajectory
Mobility
physics.soc-ph
physics.data-an