IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-02740-z.html
   My bibliography  Save this article

Safety of female ride-hailing passengers: Perception and prevention

Author

Listed:
  • Shixingyue Hu

    (Chongqing Jiaotong University)

  • Yazao Yang

    (Chongqing Jiaotong University)

Abstract

Ride-hailing, as part of wider transitions to smart city, has emerged as a beneficial complement to urban public transport. However, the frequent occurrence of ride-hailing safety accidents in multiple countries has raised concerns about passenger safety on an international scale. Within this context, this study aims to investigate female passengers’ safety perception and prevention action when using ride-hailing services, helping establish better management and protection mechanisms for passenger safety. Using objective data from 7898 ride-hailing criminal adjudications (674 passenger victimizations) and subjective data from 596 Chinese female respondents, the safety perception scale and prevention tendency scale, with six potential variables, are developed to further examine the heterogeneity of perception and prevention. Results reveal that driver’s words and actions directly influence female passengers’ safety judgments regarding ride-hailing services and that traveling with companions significantly enhances their perceived safety. The main preventative actions identified include relying on mobile phones for information and communication, as well as avoiding risky ride-hailing situations. Furthermore, the analysis of individual heterogeneity has uncovered perception and prevention differences based on factors such as age, education level, residence conditions, ride-hailing frequency, and victimization experiences. These differences are evident in perception biases towards driver attitudes and accompanying travel, as well as variations in risk avoidance behaviors. The insights inductively derived hold fundamental conceptual and empirical value for scholarship on safety evaluation and crime prevention in the context of shared mobility. Additionally, the countermeasures proposed in this study can serve as a theoretical reference for enhancing the safety supervision of ride-hailing services, contributing to the establishment of safer, more reliable and more sustainable shared travel environment.

Suggested Citation

  • Shixingyue Hu & Yazao Yang, 2024. "Safety of female ride-hailing passengers: Perception and prevention," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02740-z
    DOI: 10.1057/s41599-024-02740-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-02740-z
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-024-02740-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. María Flor & Armando Ortuño & Begoña Guirao & Jairo Casares, 2021. "Analysis of the Impact of Ride-Hailing Services on Motor Vehicles Crashes in Madrid," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    2. N. Craig Smith & Erin McCormick, 2019. "Uber and the Ethics of Sharing: Exploring the Societal Promises and Responsibilities of the Sharing Economy," Springer Books, in: Gilbert G. Lenssen & N. Craig Smith (ed.), Managing Sustainable Business, chapter 27, pages 575-607, Springer.
    3. Goodspeed, Robert & Xie, Tian & Dillahunt, Tawanna R. & Lustig, Josh, 2019. "An alternative to slow transit, drunk driving, and walking in bad weather: An exploratory study of ridesourcing mode choice and demand," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    4. Adeyinka Peter Ajayi, 2020. "Uber: examination of socio-economic situation of its clienteles and security components in Lagos," Journal of Transportation Security, Springer, vol. 13(1), pages 117-131, June.
    5. Laila Ait Bihi Ouali & Daniel J. Graham & Alexander Barron & Mark Trompet, 2020. "Gender differences in the perception of safety in public transport," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 737-769, June.
    6. Chen, Aihui & Lu, Yaobin, 2021. "Protective behavior in ride-sharing through the lens of protection motivation theory and usage situation theory," International Journal of Information Management, Elsevier, vol. 61(C).
    7. Pierluigi Coppola & Fulvio Silvestri, 2021. "Gender Inequality in Safety and Security Perceptions in Railway Stations," Sustainability, MDPI, vol. 13(7), pages 1-15, April.
    8. Yanli Tang & Pengfei Guo & Christopher S. Tang & Yulan Wang, 2021. "Gender‐Related Operational Issues Arising from On‐Demand Ride‐Hailing Platforms: Safety Concerns and System Configuration," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3481-3496, October.
    9. Yanwei Li & Araz Taeihagh & Martin De Jong, 2018. "The Governance of Risks in Ridesharing: A Revelatory Case from Singapore," Energies, MDPI, vol. 11(5), pages 1-21, May.
    10. Balapour, Ali & Nikkhah, Hamid Reza & Sabherwal, Rajiv, 2020. "Mobile application security: Role of perceived privacy as the predictor of security perceptions," International Journal of Information Management, Elsevier, vol. 52(C).
    11. Oded Cats & Rafal Kucharski & Santosh Rao Danda & Menno Yap, 2022. "Beyond the dichotomy: How ride-hailing competes with and complements public transport," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pierluigi Coppola & Fulvio Silvestri, 2021. "Gender Inequality in Safety and Security Perceptions in Railway Stations," Sustainability, MDPI, vol. 13(7), pages 1-15, April.
    2. Ting Wang & Yong Zhang & Meiye Li & Lei Liu, 2019. "How Do Passengers with Different Using Frequencies Choose between Traditional Taxi Service and Online Car-Hailing Service? A Case Study of Nanjing, China," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    3. Tiziana Campisi & Anastasios Skoufas & Alexandros Kaltsidis & Socrates Basbas, 2021. "Gender Equality and E-Scooters: Mind the Gap! A Statistical Analysis of the Sicily Region, Italy," Social Sciences, MDPI, vol. 10(10), pages 1-24, October.
    4. Charles David A. Icasiano & Araz Taeihagh, 2021. "Governance of the Risks of Ridesharing in Southeast Asia: An In-Depth Analysis," Sustainability, MDPI, vol. 13(11), pages 1-32, June.
    5. Hossain, Mokter & Mozahem, Najib Ali, 2022. "Drivers’ perceptions of the sharing economy for transport services," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    6. Yanwei Li & Genea Canelles, 2021. "Governing Airbnb in Amsterdam and Singapore: A Comparative Study on Governance Strategies and Styles," SAGE Open, , vol. 11(4), pages 21582440211, October.
    7. Gallen, Yana & Wasserman, Melanie, 2023. "Does information affect homophily?," Journal of Public Economics, Elsevier, vol. 222(C).
    8. Isabella Yunfei Zeng & Jingrui Chen & Ziheng Niu & Qingfei Liu & Tian Wu, 2022. "The GHG Emissions Assessment of Online Car-Hailing Development under the Intervention of Evaluation Policies in China," Sustainability, MDPI, vol. 14(3), pages 1-25, February.
    9. Alejandro Ortega Hortelano & Monica Grosso & Gary Haq & Anastasios Tsakalidis, 2021. "Women in Transport Research and Innovation: A European Perspective," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    10. Claudia Burlando & Enrico Ivaldi & Andrea Ciacci, 2021. "Seniors’ Mobility and Perceptions in Different Urban Neighbourhoods: A Non-Aggregative Approach," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    11. Araz Taeihagh, 2021. "Governance of artificial intelligence [Application of artificial intelligence for development of intelligent transport system in smart cities]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 137-157.
    12. Soltani, Ali & Allan, Andrew & Khalaj, Fahimeh & Pojani, Dorina & Mehdizadeh, Milad, 2021. "Ridesharing in Adelaide: Segmentation of users," Journal of Transport Geography, Elsevier, vol. 92(C).
    13. de Oliveira, Gisliany L.A. & Silva, Ivanovitch & Lima, Luciana & Costa, Daniel G., 2023. "A composite indicator of liveability based on sociodemographic and Uber quality service dimensions: A data-driven approach," Transport Policy, Elsevier, vol. 141(C), pages 97-115.
    14. Aarthi Raghavan & Mehmet Akif Demircioglu & Araz Taeihagh, 2021. "Public Health Innovation through Cloud Adoption: A Comparative Analysis of Drivers and Barriers in Japan, South Korea, and Singapore," IJERPH, MDPI, vol. 18(1), pages 1-30, January.
    15. Ke, Jintao & Li, Xinwei & Yang, Hai & Yin, Yafeng, 2021. "Pareto-efficient solutions and regulations of congested ride-sourcing markets with heterogeneous demand and supply," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    16. AitBihiOuali, Laila & Graham, Daniel J., 2021. "The impact of the MeToo scandal on women’s perceptions of security," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 269-283.
    17. Marcus Cardoso & Tálita Santos & Luiza Gagno Azolin Tessarolo & Vicente Aprigliano & Antônio Nélson Rodrigues da Silva & Marcelino Aurélio Vieira da Silva, 2023. "Exploring the Resilience of Public Transport Trips in the Face of Urban Violence from a Gender Perspective," Sustainability, MDPI, vol. 15(24), pages 1-24, December.
    18. Azman Ong, Mohd Hanafi & Yusri, Muhammad Yassar & Ibrahim, Nur Syafikah, 2023. "Use and behavioural intention using digital payment systems among rural residents: Extending the UTAUT-2 model," Technology in Society, Elsevier, vol. 74(C).
    19. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.
    20. Sun, Mingyao & Ng, Chi To & Wu, Feng & Cheng, T.C.E., 2022. "Optimization of after-sales services with spare parts consumption and repairman travel," International Journal of Production Economics, Elsevier, vol. 244(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02740-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.