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Fangye Du

Biographic Data

ID4805318
NAMEFangye Du
GIVEN NAMESFangye
FAMILY NAMEDu
SIGNATUREDU F
AFFILIATIONSShandong Normal University
ORCID0000-0003-0170-0431
VERIFIEDYes
TOTAL WORKS12
TOTAL CITATIONS21
WORKS AS AUTHOR12
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX3
  • Quantifying the impact of extreme weather event on intercity mobility in urban agglomerations

    Open Access•Tao Li, Shanshan Wei et al.•ARTICLE•Transport Policy•2026

  • Role of computing power infrastructure in shaping the geographic landscape AI enterprise in China

    Open Access•Fangye Du, Jiaoe Wang et al.•ARTICLE•Applied Geography•2026

  • Profiling virtual cross-regional patient mobility in China

    Open Access•Jinmeng Song, Jiaoe Wang et al.•ARTICLE•Habitat International•2026•References: 38

  • Daily rhythm of urban space usage

    Open Access•Fangye Du, Jiaoe Wang et al.•ARTICLE•Humanities and Social Sciences…•2024

    As urban density increases, it becomes increasingly common for multiple functions to coexist within the same space, intensifying the complexity of human activity dynamics. However, traditional urban zoning, which relies on the spatial distribution of urban functions and human activities, focuses on the spatial heterogeneity of urban space and fails to capture the temporal dynamics of urban space usage. This paper aims to investigate the daily rhy…

  • Spatial equity in healthcare access

    Open Access•Fangye Du, Jiaoe Wang et al.•ARTICLE•Cities•2024•Cited by: 1•References: 34

  • 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…

  • Determinants of travel mode choice for seeking healthcare

    Open Access•Fangye Du, Liang Mao et al.•ARTICLE•Journal of Transport Geography•2021•Cited by: 4•References: 6

  • 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

  • Access to hospitals

    Open Access•Jiaoe Wang, Fangye Du et al.•ARTICLE•Cities•2020•Cited by: 10•References: 42

  • Estimating spatial patterns of commute mode preference in Beijing

    Open Access•Jiaoe Wang, Jie Huang et al.•ARTICLE•Regional Studies Regional Science•2020•Cited by: 2

    In the era of big data, multiple data sources have been employed in the study of land use and transportation for urban and regional planning purposes. This paper offers an example of how multiple data sources (e.g., mobile signalling data, taxi trips and transit trips from smartcard data) can be used to estimate the spatial pattern of commute mode preference in Beijing, China. The comparative analysis investigates the spatial pattern of commute m…

  • Access to hospitals

    Open Access•Jiaoe Wang, Fangye Du et al.•ARTICLE•Cities•2020•Cited by: 10•References: 42

  • Determinants of travel mode choice for seeking healthcare

    Open Access•Fangye Du, Liang Mao et al.•ARTICLE•Journal of Transport Geography•2021•Cited by: 4•References: 6

  • 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

  • Estimating spatial patterns of commute mode preference in Beijing

    Open Access•Jiaoe Wang, Jie Huang et al.•ARTICLE•Regional Studies Regional Science•2020•Cited by: 2

    In the era of big data, multiple data sources have been employed in the study of land use and transportation for urban and regional planning purposes. This paper offers an example of how multiple data sources (e.g., mobile signalling data, taxi trips and transit trips from smartcard data) can be used to estimate the spatial pattern of commute mode preference in Beijing, China. The comparative analysis investigates the spatial pattern of commute m…

  • Spatial equity in healthcare access

    Open Access•Fangye Du, Jiaoe Wang et al.•ARTICLE•Cities•2024•Cited by: 1•References: 34

  • 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

  • Access to hospitals

    Open Access•Jiaoe Wang, Fangye Du et al.•ARTICLE•Cities•2020•Cited by: 10•References: 42

  • Estimating spatial patterns of commute mode preference in Beijing

    Open Access•Jiaoe Wang, Jie Huang et al.•ARTICLE•Regional Studies Regional Science•2020•Cited by: 2

    In the era of big data, multiple data sources have been employed in the study of land use and transportation for urban and regional planning purposes. This paper offers an example of how multiple data sources (e.g., mobile signalling data, taxi trips and transit trips from smartcard data) can be used to estimate the spatial pattern of commute mode preference in Beijing, China. The comparative analysis investigates the spatial pattern of commute m…

  • 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…

  • Determinants of travel mode choice for seeking healthcare

    Open Access•Fangye Du, Liang Mao et al.•ARTICLE•Journal of Transport Geography•2021•Cited by: 4•References: 6

  • 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…

  • Daily rhythm of urban space usage

    Open Access•Fangye Du, Jiaoe Wang et al.•ARTICLE•Humanities and Social Sciences…•2024

    As urban density increases, it becomes increasingly common for multiple functions to coexist within the same space, intensifying the complexity of human activity dynamics. However, traditional urban zoning, which relies on the spatial distribution of urban functions and human activities, focuses on the spatial heterogeneity of urban space and fails to capture the temporal dynamics of urban space usage. This paper aims to investigate the daily rhy…

  • Spatial equity in healthcare access

    Open Access•Fangye Du, Jiaoe Wang et al.•ARTICLE•Cities•2024•Cited by: 1•References: 34

  • Quantifying the impact of extreme weather event on intercity mobility in urban agglomerations

    Open Access•Tao Li, Shanshan Wei et al.•ARTICLE•Transport Policy•2026

  • Role of computing power infrastructure in shaping the geographic landscape AI enterprise in China

    Open Access•Fangye Du, Jiaoe Wang et al.•ARTICLE•Applied Geography•2026

  • Profiling virtual cross-regional patient mobility in China

    Open Access•Jinmeng Song, Jiaoe Wang et al.•ARTICLE•Habitat International•2026•References: 38

Urban Transport and Accessibility (10 works) · Geography (7 works) · Beijing (6 works) · Economics (6 works) · Business (5 works) · Computer Science (5 works) · China (4 works) · Engineering (4 works) · Health care (4 works) · Human Mobility and Location-Based Analysis (4 works)

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