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Haitao Jin

Biographic Data

ID6310455
NAMEHaitao Jin
GIVEN NAMESHaitao
FAMILY NAMEJin
SIGNATUREJIN H
AFFILIATIONSBeijing Information Science & Technology University
ORCID0000-0002-2955-626X
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS8
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2023
H-INDEX2
  • Bus ridership and its determinants in Beijing

    Open Access•Jiaoe Wang, Yanan Li et al.•ARTICLE•Transportation•2023

    Understanding the temporal and spatial dynamics and determinants of public transport ridership play an important role in urban planning. Previous studies have focused on exploring the determinants at the station level using global models, or a local model, geographically weighted regression (GWR), which cannot reveal spatial autocorrelation at the global level. This study explores the factors affecting bus ridership considering spatial autocorrel…

  • Equity in Health-Seeking Behavior of Groups Using Different Transportations

    Open Access•Fangye Du, Jiaoe Wang et al.•ARTICLE•International Journal of…•2022

    The equity of health-seeking behaviors of groups using different transportations is an important metric for health outcome disparities among them. Recently, smart card data and taxi trajectory data have been used extensively but separately to quantify the spatiotemporal patterns of health-seeking behavior and healthcare accessibility. However, the differences in health-seeking behavior among groups by different transportations have hitherto recei…

  • Whether Public Hospital Reform Affects the Hospital Choices of Patients in Urban Areas

    Open Access•Fangye Du, Jiaoe Wang et al.•ARTICLE•International Journal of…•2021

    The effects of public hospital reforms on spatial and temporal patterns of health-seeking behavior have received little attention due to small sample sizes and low spatiotemporal resolution of survey data. Without such information, however, health planners might be unable to adjust interventions in a timely manner, and they devise less-effective interventions. Recently, massive electronic trip records have been widely used to infer people's healt…

  • Inferring transit-based health seeking patterns from smart card data – A case study in Beijing, China

    Open Access•Fangye Du, Liang Mao et al.•ARTICLE•Health & Place•2020•Cited by: 4•References: 6

  • Job-worker spatial dynamics in Beijing

    Open Access•Jie Huang, David Levinson et al.•ARTICLE•Cities•2019•Cited by: 4•References: 37

  • Inferring transit-based health seeking patterns from smart card data – A case study in Beijing, China

    Open Access•Fangye Du, Liang Mao et al.•ARTICLE•Health & Place•2020•Cited by: 4•References: 6

  • Job-worker spatial dynamics in Beijing

    Open Access•Jie Huang, David Levinson et al.•ARTICLE•Cities•2019•Cited by: 4•References: 37

  • Job-worker spatial dynamics in Beijing

    Open Access•Jie Huang, David Levinson et al.•ARTICLE•Cities•2019•Cited by: 4•References: 37

  • Inferring transit-based health seeking patterns from smart card data – A case study in Beijing, China

    Open Access•Fangye Du, Liang Mao et al.•ARTICLE•Health & Place•2020•Cited by: 4•References: 6

  • Whether Public Hospital Reform Affects the Hospital Choices of Patients in Urban Areas

    Open Access•Fangye Du, Jiaoe Wang et al.•ARTICLE•International Journal of…•2021

    The effects of public hospital reforms on spatial and temporal patterns of health-seeking behavior have received little attention due to small sample sizes and low spatiotemporal resolution of survey data. Without such information, however, health planners might be unable to adjust interventions in a timely manner, and they devise less-effective interventions. Recently, massive electronic trip records have been widely used to infer people's healt…

  • Equity in Health-Seeking Behavior of Groups Using Different Transportations

    Open Access•Fangye Du, Jiaoe Wang et al.•ARTICLE•International Journal of…•2022

    The equity of health-seeking behaviors of groups using different transportations is an important metric for health outcome disparities among them. Recently, smart card data and taxi trajectory data have been used extensively but separately to quantify the spatiotemporal patterns of health-seeking behavior and healthcare accessibility. However, the differences in health-seeking behavior among groups by different transportations have hitherto recei…

  • Bus ridership and its determinants in Beijing

    Open Access•Jiaoe Wang, Yanan Li et al.•ARTICLE•Transportation•2023

    Understanding the temporal and spatial dynamics and determinants of public transport ridership play an important role in urban planning. Previous studies have focused on exploring the determinants at the station level using global models, or a local model, geographically weighted regression (GWR), which cannot reveal spatial autocorrelation at the global level. This study explores the factors affecting bus ridership considering spatial autocorrel…

Beijing (5 works) · Economics (5 works) · Geography (5 works) · Urban Transport and Accessibility (5 works) · Business (4 works) · Engineering (4 works) · Transport engineering (4 works) · Computer Science (3 works) · Human Mobility and Location-Based Analysis (3 works) · China (2 works)

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