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  1. Article ; Online: Meet the authors: Yong Chen, Xiqun (Michael) Chen, and Ziyou Gao.

    Chen, Yong / Chen, Xiqun Michael / Gao, Ziyou

    Patterns (New York, N.Y.)

    2023  Volume 4, Issue 11, Page(s) 100877

    Abstract: In their recent publication ... ...

    Abstract In their recent publication in
    Language English
    Publishing date 2023-11-10
    Publishing country United States
    Document type News
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2023.100877
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A multi-scale unified model of human mobility in urban agglomerations.

    Chen, Yong / Xu, Haoge / Chen, Xiqun Michael / Gao, Ziyou

    Patterns (New York, N.Y.)

    2023  Volume 4, Issue 11, Page(s) 100862

    Abstract: Understanding human mobility patterns is vital for the coordinated development of cities in urban agglomerations. Existing mobility models can capture single-scale travel behavior within or between cities, but the unified modeling of multi-scale human ... ...

    Abstract Understanding human mobility patterns is vital for the coordinated development of cities in urban agglomerations. Existing mobility models can capture single-scale travel behavior within or between cities, but the unified modeling of multi-scale human mobility in urban agglomerations is still analytically and computationally intractable. In this study, by simulating people's mental representations of physical space, we decompose and model the human travel choice process as a cascaded multi-class classification problem. Our multi-scale unified model, built upon cascaded deep neural networks, can predict human mobility in world-class urban agglomerations with thousands of regions. By incorporating individual memory features and population attractiveness features extracted by a graph generative adversarial network, our model can simultaneously predict multi-scale individual and population mobility patterns within urban agglomerations. Our model serves as an exemplar framework for reproducing universal-scale laws of human mobility across various spatial scales, providing vital decision support for urban settings of urban agglomerations.
    Language English
    Publishing date 2023-10-17
    Publishing country United States
    Document type Journal Article
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2023.100862
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Inter-library loan at ZB MED

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  3. Article: Exploring impacts of COVID-19 on city-wide taxi and ride-sourcing markets: Evidence from Ningbo, China.

    Yu, Jingru / Xie, Ningke / Zhu, Jiangtao / Qian, Yiwei / Zheng, Sijing / Chen, Xiqun Michael

    Transport policy

    2021  Volume 115, Page(s) 220–238

    Abstract: The outbreak of the COVID-19 epidemic has brought enormous impacts and changes to human mobility. To better understand and quantify the impacts of COVID-19 on city-wide ride-sourcing and taxi markets, we present exploratory evidence on the factors such ... ...

    Abstract The outbreak of the COVID-19 epidemic has brought enormous impacts and changes to human mobility. To better understand and quantify the impacts of COVID-19 on city-wide ride-sourcing and taxi markets, we present exploratory evidence on the factors such as coronavirus cases related attributes, policy-related attributes, operational status of transportation, socio-economic status related variables, demographics related variables, and other factors. Based on 5-month real-world ride-sourcing and taxi datasets in Ningbo, China, including 37-million trips, we study the temporal variations of drivers' working characteristics and productivity of ride-sourcing and taxi fleets. The spatial heterogeneity of the impacts of COVID-19 on taxi and ride-sourcing trips is demonstrated in terms of traffic analysis zones (TAZs). Regression models are established to examine the impacts of a variety of explanatory variables, including COVID-19 related variables, on the district-level productivity of taxi and ride-sourcing services. The results show that the accumulated cured coronavirus cases, policy of closed management, operational status of mass transit, and average fee spent on transportation per capita significantly impact the productivity of the taxi and ride-sourcing fleets. This paper empirically reveals the influence of the epidemic on ride-sourcing and taxi markets and the temporal and spatial variations. The findings can support decision-making to restore the ride-sourcing and taxi markets and benefit other COVID-19 related research efforts.
    Language English
    Publishing date 2021-11-22
    Publishing country Netherlands
    Document type Journal Article
    ISSN 0967-070X
    ISSN 0967-070X
    DOI 10.1016/j.tranpol.2021.11.017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Understanding common human driving semantics for autonomous vehicles.

    Xia, Yingji / Geng, Maosi / Chen, Yong / Sun, Sudan / Liao, Chenlei / Zhu, Zheng / Li, Zhihui / Ochieng, Washington Yotto / Angeloudis, Panagiotis / Elhajj, Mireille / Zhang, Lei / Zeng, Zhenyu / Zhang, Bing / Gao, Ziyou / Chen, Xiqun Michael

    Patterns (New York, N.Y.)

    2023  Volume 4, Issue 7, Page(s) 100730

    Abstract: Autonomous vehicles will share roads with human-driven vehicles until the transition to fully autonomous transport systems is complete. The critical challenge of improving mutual understanding between both vehicle types cannot be addressed only by ... ...

    Abstract Autonomous vehicles will share roads with human-driven vehicles until the transition to fully autonomous transport systems is complete. The critical challenge of improving mutual understanding between both vehicle types cannot be addressed only by feeding extensive driving data into data-driven models but by enabling autonomous vehicles to understand and apply common driving behaviors analogous to human drivers. Therefore, we designed and conducted two electroencephalography experiments for comparing the cerebral activities of human linguistics and driving understanding. The results showed that driving activates hierarchical neural functions in the auditory cortex, which is analogous to abstraction in linguistic understanding. Subsequently, we proposed a neural-informed, semantics-driven framework to understand common human driving behavior in a brain-inspired manner. This study highlights the pathway of fusing neuroscience into complex human behavior understanding tasks and provides a computational neural model to understand human driving behaviors, which will enable autonomous vehicles to perceive and think like human drivers.
    Language English
    Publishing date 2023-04-18
    Publishing country United States
    Document type Journal Article
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2023.100730
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Stochastic Evolutions of Dynamic Traffic Flow

    Chen, Xiqun (Michael) / Li, Li / Shi, Qixin

    Modeling and Applications

    2015  

    Abstract: This book reveals the underlying mechanisms of complexity and stochastic evolutions of traffic flows. Using Eulerian and Lagrangian measurements, the authors propose lognormal headway/spacing/velocity distributions and subsequently develop a Markov car- ... ...

    Author's details by Xiqun (Michael) Chen, Li Li, Qixin Shi
    Abstract This book reveals the underlying mechanisms of complexity and stochastic evolutions of traffic flows. Using Eulerian and Lagrangian measurements, the authors propose lognormal headway/spacing/velocity distributions and subsequently develop a Markov car-following model to describe drivers’ random choices concerning headways/spacings, putting forward a stochastic fundamental diagram model for wide scattering flow-density points. In the context of highway onramp bottlenecks, the authors present a traffic flow breakdown probability model and spatial-temporal queuing model to improve the stability and reliability of road traffic flows. This book is intended for researchers and graduate students in the fields of transportation engineering and civil engineering
    Keywords Civil engineering ; Engineering ; Physics
    Language English
    Size Online-Ressource (XIX, 193 p. 65 illus., 56 illus. in color), online resource
    Publisher Springer Berlin Heidelberg
    Publishing place Berlin, Heidelberg ;s.l
    Document type Book ; Online
    Note Includes bibliographical references and index
    ISBN 9783662445716 ; 9783662445723 ; 3662445719 ; 3662445727
    DOI 10.1007/978-3-662-44572-3
    Database Former special subject collection: coastal and deep sea fishing

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  6. Article: A traffic breakdown model based on queueing theory

    Chen, Xiqun Michael / Li, Li / Li, Zhiheng / Shi, Qixin

    Networks and spatial economics : a journal of infrastructure modeling and computation Vol. 14, No. 3/4 , p. 485-504

    2014  Volume 14, Issue 3, Page(s) 485–504

    Author's details Xiqun (Michael) Chen; Zhiheng Li; Li Li; Qixin Shi
    Keywords Traffic breakdown ; Queueing theory ; Newell's simplified model ; Headway
    Language English
    Size graph. Darst.
    Publisher Kluwer Academic Publ ; Springer
    Publishing place Norwell, Mass ; New York, NY
    Document type Article
    ZDB-ID 2079789-8 ; 2037373-9
    ISSN 1572-9427 ; 1566-113X
    ISSN (online) 1572-9427
    ISSN 1566-113X
    Database ECONomics Information System

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