Search Results - "Yang, Yuanxuan"

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  1. 1

    Who, Where, Why and When? Using Smart Card and Social Media Data to Understand Urban Mobility by Yang, Yuanxuan, Heppenstall, Alison, Turner, Andy, Comber, Alexis

    “…This study describes the integration and analysis of travel smart card data (SCD) with points of interest (POIs) from social media for a case study in…”
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    Journal Article
  2. 2

    Ageing in Place Classification: Creating a geodemographic classification for the ageing population in England by Yang, Yuanxuan, Dolega, Les, Darlington-Pollock, Fran

    “…Population ageing is one of the most significant demographic changes underway in many countries. Far from being a homogenous group, older people and their…”
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    Journal Article
  3. 3

    A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile by Yang, Yuanxuan, Heppenstall, Alison, Turner, Andy, Comber, Alexis

    Published in Computers, environment and urban systems (01-09-2019)
    “…The recent emergence of dockless bike sharing systems has resulted in new patterns of urban transport. Users can begin and end trips from their origin and…”
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    Journal Article
  4. 4

    Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems by Yang, Yuanxuan, Heppenstall, Alison, Turner, Andy, Comber, Alexis

    Published in Computers, environment and urban systems (01-09-2020)
    “…Short-term demand prediction is important for managing transportation infrastructure, particularly in times of disruption, or around new developments. Many…”
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    Journal Article
  5. 5

    Understanding the impacts of public transit disruptions on bikeshare schemes and cycling behaviours using spatiotemporal and graph-based analysis: A case study of four London Tube strikes by Yang, Yuanxuan, Beecham, Roger, Heppenstall, Alison, Turner, Andy, Comber, Alexis

    Published in Journal of transport geography (01-01-2022)
    “…Understanding the interactions between different travel modes is crucial for improving urban transport resilience, especially during times of disruption and…”
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    Journal Article
  6. 6

    A data-driven framework for natural feature profile of public transport ridership: Insights from Suzhou and Lianyungang, China by Tang, Tianli, Gu, Ziyuan, Yang, Yuanxuan, Sun, Haobo, Chen, Siyuan, Chen, Yuting

    “…•Novel data-driven natural feature profile framework for urban transport analysis.•Systematic three-layer structure and four-level feature tagging system…”
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    Journal Article
  7. 7

    Water inrush sources monitoring and identification based on mine IoT by Yan, Zhigang, Han, Jiazheng, Yu, Jieqing, Yang, Yuanxuan

    Published in Concurrency and computation (25-05-2019)
    “…Summary Internet of things (IoT) is applied to water inrush source monitoring network for overcoming complexity and uncertainty of coal mines in monitoring…”
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    Journal Article
  8. 8

    McMatcher: A symbolic representation for matching random BLE MAC addresses by Boussad, Yanis, Yang, Yuanxuan, Tomlinson, Andrew, Grant-Muller, Susan

    “…Bluetooth Low Energy (BLE) is a widely used wireless technology which offers a wide range of applications. However, the introduction of MAC address…”
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    Conference Proceeding
  9. 9

    Connected bikeability in London: Which localities are better connected by bike and does this matter? by Beecham, Roger, Yang, Yuanxuan, Tait, Caroline, Lovelace, Robin

    “…Bikeability, the extent to which a route network enables cycling for everyday travel, is a frequently cited theme for increasing and diversifying cycling…”
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    Journal Article
  10. 10

    Investigating Objective and Subjective Factors Influencing the Frequency and Purpose of E-Scooter Trips by Kothawala, Alimurtaza, Haddad, Angela, Ozbilen, Basar, Circella, Giovanni, Saridakis, Charalampos, Wadud, Zia, Yang, Yuanxuan, Grant-Muller, Susan, Castellanos, Sebastian, Bhat, Chandra R.

    Published in Transportation research record (01-10-2024)
    “…In this study, for the first time in the literature as far as we are aware, we model e-scooter use frequency and use purpose jointly, allowing for multiple use…”
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    Journal Article
  11. 11

    Does the Use of E-Scooters Bring Well-Being Outcomes for the User?: A Study Based on UK Shared E-Scooter Trials by Grant-Muller, Susan, Yang, Yuanxuan, Panter, Jenna, Woodcock, James

    Published in Active travel studies (12-05-2023)
    “…E-scooters are a relatively new mode of travel in the UK and their impacts on physical and mental health are uncertain. Although their use does not involve…”
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    Journal Article
  12. 12

    A novel adaptive differential evolution SVM model for predicting coal and gas outbursts by Yan, Zhigang, Yao, Kan, Yang, Yuanxuan

    “…Parameter selection is a key factor affecting the performance of support vector machines (SVMs). To further improve the classification accuracy and…”
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    Journal Article
  13. 13

    Understanding Urban Dynamics Using Graph-Based Analysis of Public Bike-Sharing Schemes by Yang, Yuanxuan

    Published 01-01-2020
    “…Urbanisation has contributed to more dense and diverse travel flows and interaction between people and urban spaces. In recent years, mobility systems have…”
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    Dissertation
  14. 14

    Is the London Cycle Hire Scheme becoming more inclusive? An evaluation of the shifting spatial distribution of uptake based on 70 million trips by Lovelace, Robin, Beecham, Roger, Heinen, Eva, Vidal Tortosa, Eugeni, Yang, Yuanxuan, Slade, Chris, Roberts, Antonia

    “…•New analysis of 8 years of data from the London Cycle Hire Scheme (LCHS).•73.4 million trips analysed, showing spatial pattern of growth.•Expansion of the…”
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    Journal Article
  15. 15

    Influencing transport-health interactions through incentivised mode switch using new data and models by Harrison, Gillian, Yang, Yuanxuan, Suchak, Keiran, Grant-Muller, Susan M., Shepherd, Simon, Hodgson, Frances C.

    Published in Journal of transport & health (01-07-2024)
    “…In this study we present a ‘proof-of-concept’ model using novel model integration and new forms of data that addresses the research question, How does…”
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    Journal Article
  16. 16

    Application of ECOC SVMS in Remote Sensing Image Classification by Yan, Z., Yang, Y.

    “…Image processing has been one of the efficient technologies for GIS data requisition. Support Vector Machines (SVMs) have peculiar advantages in handling…”
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    Journal Article Conference Proceeding