IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i13p5405-d380208.html
   My bibliography  Save this article

Tweets on the Go: Gender Differences in Transport Perception and Its Discussion on Social Media

Author

Listed:
  • Paula Vasquez-Henriquez

    (Data Science Institute, Universidad del Desarrollo, Las Condes, Santiago 7610658, Chile)

  • Eduardo Graells-Garrido

    (Data Science Institute, Universidad del Desarrollo, Las Condes, Santiago 7610658, Chile
    Barcelona Supercomputing Center (BSC), 08034 Barcelona, Spain)

  • Diego Caro

    (Departamento de Ingeniería Informática, Universidad de Santiago de Chile, Estación Central, Santiago 9170002, Chile)

Abstract

People often base their mobility decisions on subjective aspects of travel experience, such as time perception, space usage, and safety. It is well recognized that different groups within a population will react differently to the same trip, however, current data collection methods might not consider the multi dimensional aspects of travel perception, which could lead to overlooking the needs of large population groups. In this paper, we propose to measure several aspects of the travel experience from the social media platform Twitter, with a focus on differences with respect to gender. We analyzed more than 400,000 tweets from 100,000 users about transportation from Santiago, Chile. Our main findings show that both genders express themselves differently, as women write about their emotions regarding travel (both, positive and negative feelings), that men express themselves using slang, making it difficult to interpret emotion. The strongest difference is related to harassment, not only on transportation, but also on the public space. Since these aspects are usually omitted from travel surveys, our work provides evidence on how Twitter allows the measurement of aspects of the transportation system in a city that have been studied in qualitative terms, complementing surveys with emotional and safety aspects that are as relevant as those traditionally measured.

Suggested Citation

  • Paula Vasquez-Henriquez & Eduardo Graells-Garrido & Diego Caro, 2020. "Tweets on the Go: Gender Differences in Transport Perception and Its Discussion on Social Media," Sustainability, MDPI, vol. 12(13), pages 1-21, July.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5405-:d:380208
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/13/5405/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/13/5405/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dawei Li & Yujia Zhang & Cheng Li, 2019. "Mining Public Opinion on Transportation Systems Based on Social Media Data," Sustainability, MDPI, vol. 11(15), pages 1-15, July.
    2. Stradling, Stephen G. & Anable, Jillian & Carreno, Michael, 2007. "Performance, importance and user disgruntlement: A six-step method for measuring satisfaction with travel modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 98-106, January.
    3. Rositsa T. Ilieva & Timon McPhearson, 2018. "Social-media data for urban sustainability," Nature Sustainability, Nature, vol. 1(10), pages 553-565, October.
    4. Daniel D. Lee & H. Sebastian Seung, 1999. "Learning the parts of objects by non-negative matrix factorization," Nature, Nature, vol. 401(6755), pages 788-791, October.
    5. Marco Diana & Patricia Mokhtarian, 2009. "Grouping travelers on the basis of their different car and transit levels of use," Transportation, Springer, vol. 36(4), pages 455-467, July.
    6. Pronello, Cristina & Camusso, Cristian, 2011. "Travellers’ profiles definition using statistical multivariate analysis of attitudinal variables," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1294-1308.
    7. Allen, Jaime & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2018. "Modelling service-specific and global transit satisfaction under travel and user heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 509-528.
    8. dell'Olio, Luigi & Ibeas, Angel & Cecin, Patricia, 2011. "The quality of service desired by public transport users," Transport Policy, Elsevier, vol. 18(1), pages 217-227, January.
    9. Molin, Eric & Mokhtarian, Patricia & Kroesen, Maarten, 2016. "Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 14-29.
    10. Beirão, Gabriela & Sarsfield Cabral, J.A., 2007. "Understanding attitudes towards public transport and private car: A qualitative study," Transport Policy, Elsevier, vol. 14(6), pages 478-489, November.
    11. Eboli, Laura & Mazzulla, Gabriella, 2011. "A methodology for evaluating transit service quality based on subjective and objective measures from the passenger's point of view," Transport Policy, Elsevier, vol. 18(1), pages 172-181, January.
    12. Cristina Pronello & Cristian Camusso, 2011. "Travellers’ profiles definition using statistical multivariate analysis of attitudinal variables," Post-Print halshs-01084027, HAL.
    13. Tyrinopoulos, Yannis & Antoniou, Constantinos, 2008. "Public transit user satisfaction: Variability and policy implications," Transport Policy, Elsevier, vol. 15(4), pages 260-272, July.
    14. Ory, David T. & Mokhtarian, Patricia L., 2005. "When is getting there half the fun? Modeling the liking for travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 97-123.
    15. Yasasvi Popuri & Kimon Proussaloglou & Cemal Ayvalik & Frank Koppelman & Aimee Lee, 2011. "Importance of traveler attitudes in the choice of public transportation to work: findings from the Regional Transportation Authority Attitudinal Survey," Transportation, Springer, vol. 38(4), pages 643-661, July.
    16. Anable, Jillian, 2005. "'Complacent Car Addicts' or 'Aspiring Environmentalists'? Identifying travel behaviour segments using attitude theory," Transport Policy, Elsevier, vol. 12(1), pages 65-78, 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. Benedetto Barabino & Nicola Aldo Cabras & Claudio Conversano & Alessandro Olivo, 2020. "An Integrated Approach to Select Key Quality Indicators in Transit Services," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 1045-1080, June.
    2. Hickman, Robin & Chen, Chia-Lin & Chow, Andy & Saxena, Sharad, 2015. "Improving interchanges in China: the experiential phenomenon," Journal of Transport Geography, Elsevier, vol. 42(C), pages 175-186.
    3. Celik, Erkan & Aydin, Nezir & Gumus, Alev Taskin, 2014. "A multiattribute customer satisfaction evaluation approach for rail transit network: A real case study for Istanbul, Turkey," Transport Policy, Elsevier, vol. 36(C), pages 283-293.
    4. Carreira, Rui & Patrício, Lia & Natal Jorge, Renato & Magee, Chris & Van Eikema Hommes, Qi, 2013. "Towards a holistic approach to the travel experience: A qualitative study of bus transportation," Transport Policy, Elsevier, vol. 25(C), pages 233-243.
    5. Abenoza, Roberto F. & Cats, Oded & Susilo, Yusak O., 2017. "Travel satisfaction with public transport: Determinants, user classes, regional disparities and their evolution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 64-84.
    6. Echaniz, Eneko & Ho, Chinh Q. & Rodriguez, Andres & dell'Olio, Luigi, 2019. "Comparing best-worst and ordered logit approaches for user satisfaction in transit services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 752-769.
    7. De Vos, Jonas, 2018. "Do people travel with their preferred travel mode? Analysing the extent of travel mode dissonance and its effect on travel satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 261-274.
    8. Santoso, Djoen San & Yajima, Masaru & Sakamoto, Kunihiro & Kubota, Hisashi, 2012. "Opportunities and strategies for increasing bus ridership in rural Japan: A case study of Hidaka City," Transport Policy, Elsevier, vol. 24(C), pages 320-329.
    9. De Vos, Jonas & Witlox, Frank, 2017. "Travel satisfaction revisited. On the pivotal role of travel satisfaction in conceptualising a travel behaviour process," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 364-373.
    10. Wan, Dan & Kamga, Camille & Liu, Jun & Sugiura, Aaron & Beaton, Eric B., 2016. "Rider perception of a “light” Bus Rapid Transit system - The New York City Select Bus Service," Transport Policy, Elsevier, vol. 49(C), pages 41-55.
    11. Hernandez, Sara & Monzon, Andres & de Oña, Rocío, 2016. "Urban transport interchanges: A methodology for evaluating perceived quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 31-43.
    12. Ganji, S.S. & Ahangar, A.N. & Awasthi, Anjali & Jamshidi Bandari, Smaneh, 2021. "Psychological analysis of intercity bus passenger satisfaction using Q methodology," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 345-363.
    13. Shreya Das & Debapratim Pandit, 2013. "Importance of user perception in evaluating level of service for bus transit for a developing country like India: a review," Transport Reviews, Taylor & Francis Journals, vol. 33(4), pages 402-420, July.
    14. Mouwen, Arnoud & Rietveld, Piet, 2013. "Does competitive tendering improve customer satisfaction with public transport? A case study for the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 29-45.
    15. Aydin, Nezir & Celik, Erkan & Gumus, Alev Taskin, 2015. "A hierarchical customer satisfaction framework for evaluating rail transit systems of Istanbul," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 61-81.
    16. Grisé, Emily & El-Geneidy, Ahmed, 2017. "Evaluating the relationship between socially (dis)advantaged neighbourhoods and customer satisfaction of bus service in London, U.K," Journal of Transport Geography, Elsevier, vol. 58(C), pages 166-175.
    17. Abenoza, Roberto F. & Ettema, Dick F. & Susilo, Yusak O., 2018. "Do accessibility, vulnerability, opportunity, and travel characteristics have uniform impacts on the traveler’s experience?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 38-51.
    18. Laura Eboli & Gabriella Mazzulla, 2014. "Investigating the heterogeneity of bus users' preferences through discrete choice modelling," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(8), pages 695-710, December.
    19. Creemers, Lieve & Tormans, Hans & Bellemans, Tom & Janssens, Davy & Wets, Geert & Cools, Mario, 2015. "Knowledge of the concept Light Rail Transit: Exploring its relevance and identification of the determinants of various knowledge levels," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 31-43.
    20. Rong, Rui & Liu, Lishan & Jia, Ning & Ma, Shoufeng, 2022. "Impact analysis of actual traveling performance on bus passenger’s perception and satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 80-100.

    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:gam:jsusta:v:12:y:2020:i:13:p:5405-:d:380208. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.