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Yuliang Guo

Biographic Data

ID6926719
NAMEYuliang Guo
GIVEN NAMESYuliang
FAMILY NAMEGuo
SIGNATUREGUO Y
AFFILIATIONSLas Positas College
ORCID0000-0002-8929-0416
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Do nearby activities result in short trips? Examining the relationship between spatial accessibility and travel behaviour in 15-minute neighbourhoods

    Open Access•Cong Qi, Jonas De Vos et al.•ARTICLE•Journal of Transport Geography•2026

    Creating 15-minute (15-min) neighbourhoods is crucial for achieving mobility justice, promoting urban vitality, and reducing traffic congestion, air pollution, and energy consumption. However, limited research has examined whether these goals align with current travel behaviour. This paper presents a comprehensive framework for evaluating travel behaviour within 15-min neighbourhoods using mobile phone signalling data and point of interest (POI) …

  • Methane emissions from landfills differentially underestimated worldwide

    Open Access•Yao Wang, Mingliang Fang et al.•ARTICLE•Nature Sustainability•2024•References: 1

  • Impact of quantitative safety targets on road fatality reduction

    Open Access•Haizhou Cui, Yuliang Guo et al.•ARTICLE•Frontiers in Public Health•2023

    Introduction: The role of quantitative target setting has become an important topic in debates on the improvement of road safety performance. Specifically, there are questions regarding the relationship between quantitative safety targets and their actual effects. Although previous studies have provided important insights into this subject, their empirical findings have largely been equivocal, and research on this topic remains inadequate. Method…

  • Research on the detection model of mental illness of online forum users based on convolutional network

    Open Access•Yuliang Guo, Zheng Zhang et al.•ARTICLE•BMC Psychology•2023

    Recently, there will be more than 4.62 billion social media users worldwide. A large number of users tend to publish personal emotional dynamics or express opinions on social media. These massive user data provide data support for the development of mental illness detection research and have achieved good results. However, it is difficult for current mental illness detection models to accurately identify key emotional features from a large number…

No prominent works on this page.

  • Impact of quantitative safety targets on road fatality reduction

    Open Access•Haizhou Cui, Yuliang Guo et al.•ARTICLE•Frontiers in Public Health•2023

    Introduction: The role of quantitative target setting has become an important topic in debates on the improvement of road safety performance. Specifically, there are questions regarding the relationship between quantitative safety targets and their actual effects. Although previous studies have provided important insights into this subject, their empirical findings have largely been equivocal, and research on this topic remains inadequate. Method…

  • Research on the detection model of mental illness of online forum users based on convolutional network

    Open Access•Yuliang Guo, Zheng Zhang et al.•ARTICLE•BMC Psychology•2023

    Recently, there will be more than 4.62 billion social media users worldwide. A large number of users tend to publish personal emotional dynamics or express opinions on social media. These massive user data provide data support for the development of mental illness detection research and have achieved good results. However, it is difficult for current mental illness detection models to accurately identify key emotional features from a large number…

  • Methane emissions from landfills differentially underestimated worldwide

    Open Access•Yao Wang, Mingliang Fang et al.•ARTICLE•Nature Sustainability•2024•References: 1

  • Do nearby activities result in short trips? Examining the relationship between spatial accessibility and travel behaviour in 15-minute neighbourhoods

    Open Access•Cong Qi, Jonas De Vos et al.•ARTICLE•Journal of Transport Geography•2026

    Creating 15-minute (15-min) neighbourhoods is crucial for achieving mobility justice, promoting urban vitality, and reducing traffic congestion, air pollution, and energy consumption. However, limited research has examined whether these goals align with current travel behaviour. This paper presents a comprehensive framework for evaluating travel behaviour within 15-min neighbourhoods using mobile phone signalling data and point of interest (POI) …

Engineering (2 works) · Urban Transport and Accessibility (2 works) · Air travel (1 work) · Artificial Intelligence (1 work) · Atmospheric and Environmental Gas Dynamics (1 work) · Biology (1 work) · Business (1 work) · Case fatality rate (1 work) · Channel (broadcasting (1 work) · Computer Science (1 work)

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