Improving transport systems to increase women's access to social opportunities and essential facilities has been key to reducing genderGender inequality. Studies have examined the gendered nature of travel from the perspective of a mismatch between women’s needs and availability of transport services, including fragmentized activity space, low affordability, and sensitization to safety. However, minimal attention has been given to the gender gap in the age of ride-hailingRide-hailing. Thus, this paper examines the nexus between gender and ride-hailing usage from the aspect of activity space and affordability. Two key questions are explored: (a) Are women dependent on ride-hailingRide-hailing? (b) If ride-hailing serves women differentially, how does this genderGender difference in the use of ride-hailing services occur? An innovative integration of big data and a travel survey is developed to examine such questions in Chengdu, China. Survey results and modelling analysis indicate that gender gaps in mobility is relatively mitigated by ride-hailingRide-hailing.


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    Titel :

    Integrating Big Data and a Travel Survey to Understand the Gender Gap in Ride-Hailing Usage: Evidence from Chengdu, China


    Weitere Titelangaben:

    The Urban Book Series


    Beteiligte:
    Goodspeed, Robert (Herausgeber:in) / Sengupta, Raja (Herausgeber:in) / Kyttä, Marketta (Herausgeber:in) / Pettit, Christopher (Herausgeber:in) / Qiao, Si (Autor:in) / Yeh, Anthony Gar-On (Autor:in) / Zhang, Mengzhu (Autor:in)

    Kongress:

    International Conference on Computers in Urban Planning and Urban Management ; 2023 ; Montreal, QC, Canada June 20, 2023 - June 22, 2023


    Erschienen in:

    Intelligence for Future Cities ; Kapitel : 10 ; 173-192


    Erscheinungsdatum :

    2023-06-02


    Format / Umfang :

    20 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Variation in ride-hailing trips in Chengdu, China

    Wang, Sicheng / Noland, Robert B. | Elsevier | 2020


    Usage Characteristics and Mode Choice Transitions of Ride-hailing Users in Chengdu, China

    Zhai, Guocong / Yang, Hongtai / Pan, Renbin et al. | IEEE | 2019



    Fusing Multiple Sources of Data to Understand Ride-Hailing Use

    Dias, Felipe F. / Lavieri, Patrícia S. / Kim, Taehooie et al. | Transportation Research Record | 2019


    RIDE-HAILING SYSTEM AND RIDE-HAILING METHOD

    KAMATA NOBUHIDE / UEHARA YASUO / TANIMORI SHUNSUKE et al. | Europäisches Patentamt | 2020

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