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Kaixi Li

Biographic Data

ID6310939
NAMEKaixi Li
GIVEN NAMESKaixi
FAMILY NAMELi
SIGNATURELI K
AFFILIATIONSSmart Steps Digital Technology Co., Ltd, Beijing, China
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS4
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Using mobile phone big data to discover the spatial patterns of rural migrant workers’ return to work in China’s three urban agglomerations in the post-Covid-19 era

    Open Access•Kai Liu, Pengjun Zhao et al.•ARTICLE•Environment and Planning B Urban…•2023

    Knowing how workers return to work is a key policymaking issue for economic recovery in the post-COVID-19 era. This paper uses country-wide time-series mobile phone big data (comparing monthly and annual figures), obtained between February 2019 and October 2019 and between February 2020 and October 2020, to discover the spatial patterns of rural migrant workers’ (RMWs’) return to work in China’s three urban agglomerations (UAs): the Beijing–Tianj…

  • Analysis of changes in population's cross-city travel patterns in the pre- and post-pandemic era: A case study of China

    Open Access•Xuyang Wang, Tao Pei et al.•ARTICLE•Cities•2022•Cited by: 4•References: 2

  • Analysis of changes in population's cross-city travel patterns in the pre- and post-pandemic era: A case study of China

    Open Access•Xuyang Wang, Tao Pei et al.•ARTICLE•Cities•2022•Cited by: 4•References: 2

  • Analysis of changes in population's cross-city travel patterns in the pre- and post-pandemic era: A case study of China

    Open Access•Xuyang Wang, Tao Pei et al.•ARTICLE•Cities•2022•Cited by: 4•References: 2

  • Using mobile phone big data to discover the spatial patterns of rural migrant workers’ return to work in China’s three urban agglomerations in the post-Covid-19 era

    Open Access•Kai Liu, Pengjun Zhao et al.•ARTICLE•Environment and Planning B Urban…•2023

    Knowing how workers return to work is a key policymaking issue for economic recovery in the post-COVID-19 era. This paper uses country-wide time-series mobile phone big data (comparing monthly and annual figures), obtained between February 2019 and October 2019 and between February 2020 and October 2020, to discover the spatial patterns of rural migrant workers’ (RMWs’) return to work in China’s three urban agglomerations (UAs): the Beijing–Tianj…

China (2 works) · Demographic economics (2 works) · Demography (2 works) · Economic growth (2 works) · Economics (2 works) · Engineering (2 works) · Geography (2 works) · Human Mobility and Location-Based Analysis (2 works) · Population (2 works) · Sociology (2 works)

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