The impact of new transportation modes on population distribution in Jing-Jin-Ji region of China

被引:0
|
作者
Lizhe Wang
Lajiao Chen
机构
[1] China University of Geosciences,
[2] School of Computer Sciences,undefined
[3] Chinese Academy of Sciences,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
This paper conducts a novel study in China’s Jing-Jin-Ji region to investigate the determinants of population distribution and short-term migration based on a comprehensive dataset including traditional census data, earth observation data, and emerging Internet data. Our results show that due to the high level of urbanization in this region, natural conditions are no longer the strongest determinants of population distribution. New transportation modes, such as high-speed rail, have arisen as a significant determinant of population distribution and short-term migration, particularly in large cities. Socio-economic factors such as GDP, investment, urbanization level, and technology, which are traditionally assumed to govern population distribution and short-term migration, have less influence although education still remains an important factor affecting population distribution. These findings will contribute valuable information to regional planning decision-making in the Jing-Jin-Ji region.
引用
下载
收藏
相关论文
共 50 条
  • [31] Spatio-temporal variation of potential evapotranspiration and climatic drivers in the Jing-Jin-Ji region, North China
    Han, Jingyan
    Wang, Jianhua
    Zhao, Yong
    Wang, Qingming
    Zhang, Bing
    Li, Haihong
    Zhai, Jiaqi
    AGRICULTURAL AND FOREST METEOROLOGY, 2018, 256 : 75 - 83
  • [32] Spatiotemporal Variability of Surface Wind Speed during 1961-2017 in the Jing-Jin-Ji Region, China
    Diao, Weijie
    Zhao, Yong
    Dong, Yiyang
    Zhai, Jiaqi
    Wang, Qingming
    Gui, Yunpeng
    JOURNAL OF METEOROLOGICAL RESEARCH, 2020, 34 (03) : 621 - 632
  • [33] Water security evaluation based on comprehensive index in Jing-Jin-Ji district, China
    Huang, Ze
    Liu, Jiahong
    Mei, Chao
    Wang, Hao
    Shao, Weiwei
    WATER SUPPLY, 2020, 20 (07) : 2698 - 2714
  • [34] Carbon emissions of urban power grid in Jing-Jin-Ji region: Characteristics and influential factors
    Wei, Wendong
    Wang, Xibo
    Zhu, He
    Li, Ji
    Zhou, Sili
    Zou, Zhiyi
    Li, J. S.
    JOURNAL OF CLEANER PRODUCTION, 2017, 168 : 428 - 440
  • [35] Evaluation of sustainable development coordinated ability in Jing-Jin-Ji region based on fuzzy information
    Dou, Lichen
    Zhao, Cui
    Cheng, Guirong
    Dou, Lichen, 1600, Transport and Telecommunication Institute, Lomonosova street 1, Riga, LV-1019, Latvia (18): : 673 - 677
  • [36] The pollution haven strikes back?-Evidence from air quality daily variation in the Jing-Jin-Ji region of China
    Xu, Jintao
    Dong, Yingwei
    Xie, Lunyu
    Chen, Shuai
    ENVIRONMENTAL SCIENCE & POLICY, 2022, 138 : 105 - 121
  • [37] Could smog pollution lead to the migration of local skilled workers? Evidence from the Jing-Jin-Ji region in China
    Lu, Hui
    Yue, Ailing
    Chen, Hong
    Long, Ruyin
    RESOURCES CONSERVATION AND RECYCLING, 2018, 130 : 177 - 187
  • [38] Spatiotemporal differentiation characteristics of flood risk based on spatial statistical analysis: a study of Jing-Jin-Ji region in China
    Gao, Lei
    Liu, Xiaoxue
    Liu, Hao
    NATURAL HAZARDS, 2024, : 1711 - 1736
  • [39] Reconstruction of cropland change over the past 300 years in the Jing-Jin-Ji area, China
    Wei, Xueqiong
    Ye, Yu
    Zhang, Qian
    Fang, Xiuqi
    REGIONAL ENVIRONMENTAL CHANGE, 2016, 16 (07) : 2097 - 2109
  • [40] A RESEARCH ON TERRESTRIAL WATER STORAGE VARIATIONS WITH GRACE SATELLITE DATA IN THE JING-JIN-JI REGION
    Li, Le
    Chen, Lajiao
    Wang, Lizhe
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 6225 - 6228