IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2020i1p254-d470241.html
   My bibliography  Save this article

Extraction Method and Integration Framework for Perception Features of Public Opinion in Transportation

Author

Listed:
  • Shaojie Liu

    (College of Transportation Engineering, Tongji University, Shanghai 201804, China
    Key Laboratory of Road and Traffic Engineering of the State Ministry of Education, Tongji University, Shanghai 201804, China
    Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, Shanghai 201804, China)

  • Jing Teng

    (College of Transportation Engineering, Tongji University, Shanghai 201804, China
    Key Laboratory of Road and Traffic Engineering of the State Ministry of Education, Tongji University, Shanghai 201804, China
    Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, Shanghai 201804, China)

  • Yue Gong

    (China Mobile Communications Corporation, Shanghai 201206, China)

Abstract

To better facilitate government management and planning based on public opinion, it is essential to propose a method for extracting public opinion perception features in consideration of an integrated framework, which aims at industry monitoring and decision-making. Based on fundamental characteristics of ordinary traffic incidents, this paper develops a perception features system of public opinion consisting of four modules, where the construction methods have been elaborated. First, mining thematic features is realized via the similarity calculation of text vector. Second, based on summarized Chinese expression patterns, time extraction rules, and a five-layer tree-like spatial feature thesaurus are established to extract spatiotemporal features. Third, the modeling of the emotional features is achieved by a dictionary-based analysis model. Fourth, the evolutional features are extracted by the Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH). In view of the attributes of each module, an integrated framework is built to determine the collaboration relationship of feature indicators. Finally, a case study of Shenzhen public transport has been performed to illustrate the application of proposed methods. Results show that the strong odor in electric buses and a rumor that electric buses have great radiation are two main causes of the decrease in passenger satisfaction in the first quarter of 2017. In contrast, adding new bus lines, increasing service frequency, and guaranteeing the bus-lane right will improve passenger satisfaction, which is basically consistent with the official report. It should be noticed that the developed framework has been validated in the case study of passenger satisfaction analysis, while it can be extensively replicated in other fields. Furthermore, it is important for stakeholders to grasp the public perception of transportation services, in order to enhance public participation in transportation management and decision-making.

Suggested Citation

  • Shaojie Liu & Jing Teng & Yue Gong, 2020. "Extraction Method and Integration Framework for Perception Features of Public Opinion in Transportation," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:254-:d:470241
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/1/254/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/1/254/
    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. Behbahani, Hamid & Nazari, Sobhan & Jafari Kang, Masood & Litman, Todd, 2019. "A conceptual framework to formulate transportation network design problem considering social equity criteria," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 171-183.
    3. N. Nima Haghighi & Xiaoyue Cathy Liu & Ran Wei & Wenwen Li & Hu Shao, 2018. "Using Twitter data for transit performance assessment: a framework for evaluating transit riders’ opinions about quality of service," Public Transport, Springer, vol. 10(2), pages 363-377, August.
    4. Szabolcs Blazsek & Han-Chiang Ho & Su-Ping Liu, 2018. "Score-driven Markov-switching EGARCH models: an application to systematic risk analysis," Applied Economics, Taylor & Francis Journals, vol. 50(56), pages 6047-6060, December.
    5. Anik, Md Asif Hasan & Sadeek, Soumik Nafis & Hossain, Moinul & Kabir, Shafquat, 2020. "A framework for involving the young generation in transportation planning using social media and crowd sourcing," Transport Policy, Elsevier, vol. 97(C), pages 1-18.
    6. Ainhoa Serna & Tomas Ruiz & Jon Kepa Gerrikagoitia & Rosa Arroyo, 2019. "Identification of Enablers and Barriers for Public Bike Share System Adoption using Social Media and Statistical Models," Sustainability, MDPI, vol. 11(22), pages 1-21, November.
    7. Tiziana Campisi & Nurten Akgün & Dario Ticali & Giovanni Tesoriere, 2020. "Exploring Public Opinion on Personal Mobility Vehicle Use: A Case Study in Palermo, Italy," Sustainability, MDPI, vol. 12(13), pages 1-15, July.
    8. María Teresa Ballestar & Miguel Cuerdo-Mir & María Teresa Freire-Rubio, 2020. "The Concept of Sustainability on Social Media: A Social Listening Approach," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
    9. Tiziana Campisi & Socrates Basbas & Anastasios Skoufas & Nurten Akgün & Dario Ticali & Giovanni Tesoriere, 2020. "The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily," Sustainability, MDPI, vol. 12(21), pages 1-24, October.
    10. Enoch, M.P. & Cross, R. & Potter, N. & Davidson, C. & Taylor, S. & Brown, R. & Huang, H. & Parsons, J. & Tucker, S. & Wynne, E. & Grieg, D. & Campbell, G. & Jackson, A. & Potter, S., 2020. "Future local passenger transport system scenarios and implications for policy and practice," Transport Policy, Elsevier, vol. 90(C), pages 52-67.
    11. Smith, Göran & Sochor, Jana & Karlsson, I.C. MariAnne, 2018. "Mobility as a Service: Development scenarios and implications for public transport," Research in Transportation Economics, Elsevier, vol. 69(C), pages 592-599.
    12. Peters, Luke & MacKenzie, Don, 2019. "The death and rebirth of bikesharing in Seattle: Implications for policy and system design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 208-226.
    13. Cunningham, Mitchell L. & Regan, Michael A. & Horberry, Timothy & Weeratunga, Kamal & Dixit, Vinayak, 2019. "Public opinion about automated vehicles in Australia: Results from a large-scale national survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 1-18.
    14. Wael Alattyih & Husnain Haider & Halim Boussabaine, 2019. "Development of Value Creation Drivers for Sustainable Design of Green Buildings in Saudi Arabia," Sustainability, MDPI, vol. 11(20), pages 1-33, October.
    15. Erick Kauffmann & Jesús Peral & David Gil & Antonio Ferrández & Ricardo Sellers & Higinio Mora, 2019. "Managing Marketing Decision-Making with Sentiment Analysis: An Evaluation of the Main Product Features Using Text Data Mining," Sustainability, MDPI, vol. 11(15), pages 1-19, August.
    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. Luo, Shuli & He, Sylvia Y. & Grant-Muller, Susan & Song, Linqi, 2023. "Influential factors in customer satisfaction of transit services: Using crowdsourced data to capture the heterogeneity across individuals, space and time," Transport Policy, Elsevier, vol. 131(C), pages 173-183.
    2. Martin Zajac & Jiří Horák & Joaquín Osorio-Arjona & Pavel Kukuliač & James Haworth, 2022. "Public Transport Tweets in London, Madrid and Prague in the COVID-19 Period—Temporal and Spatial Differences in Activity Topics," Sustainability, MDPI, vol. 14(24), pages 1-25, December.
    3. Sławomir Dorocki & Dorota Wantuch-Matla, 2021. "Power Two-Wheelers as an Element of Sustainable Urban Mobility in Europe," Land, MDPI, vol. 10(6), pages 1-25, June.
    4. Enoch, Marcus & Potter, Stephen, 2023. "MaaS (Mobility as a Service) market futures explored," Transport Policy, Elsevier, vol. 134(C), pages 31-40.
    5. Yvonne Hail & Ronald McQuaid, 2021. "The Concept of Fairness in Relation to Women Transport Users," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    6. David Milesi-Gaches, 2021. "Did research address the pandemic, epidemic or infectious risk in public transport scenarios? A systematic review to rethink future environmental implications for mobility [La recherche a-t-elle ab," Working Papers hal-03494239, HAL.
    7. Irina Wedel & Michael Palk & Stefan Voß, 2022. "A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter," Information Systems Frontiers, Springer, vol. 24(5), pages 1635-1646, October.
    8. Humberto, Mateus & Moura, Filipe & Giannotti, Mariana, 2020. "Incorporating children's views and perceptions about urban mobility," OSF Preprints yjxfm, Center for Open Science.
    9. Wang, Song & Li, Zhixia & Wang, Yi & Wyatt, Daniel Aaron, 2024. "How effective is automated vehicle education? – A Kentucky case study revealing the dynamic nature of education effectiveness," Transport Policy, Elsevier, vol. 147(C), pages 140-157.
    10. Shrestha, Yash Raj & Krishna, Vaibhav & von Krogh, Georg, 2021. "Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges," Journal of Business Research, Elsevier, vol. 123(C), pages 588-603.
    11. Prelorentzos, Arsenios-Georgios N. & Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Xidonas, Panos & Goutte, Stephane & Thomakos, Dimitrios D., 2024. "Introducing the GVAR-GARCH model: Evidence from financial markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    12. Ulrike Gretzel & Matthias Fuchs & Rodolfo Baggio & Wolfram Hoepken & Rob Law & Julia Neidhardt & Juho Pesonen & Markus Zanker & Zheng Xiang, 2020. "e-Tourism beyond COVID-19: a call for transformative research," Information Technology & Tourism, Springer, vol. 22(2), pages 187-203, June.
    13. Lopez-Carreiro, Iria & Monzon, Andres & Lopez-Lambas, Maria E., 2021. "Comparison of the willingness to adopt MaaS in Madrid (Spain) and Randstad (The Netherlands) metropolitan areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 275-294.
    14. Pangbourne, Kate & Mladenović, Miloš N. & Stead, Dominic & Milakis, Dimitris, 2020. "Questioning mobility as a service: Unanticipated implications for society and governance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 35-49.
    15. Lorenzo Barbieri & Roberto D’Autilia & Paola Marrone & Ilaria Montella, 2023. "Graph Representation of the 15-Minute City: A Comparison between Rome, London, and Paris," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    16. Ospina, Juan P. & Duque, Juan C. & Botero-Fernández, Verónica & Montoya, Alejandro, 2022. "The maximal covering bicycle network design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 222-236.
    17. Haarstad, Håvard & Sareen, Siddharth & Kandt, Jens & Coenen, Lars & Cook, Matthew, 2022. "Beyond automobility? Lock-in of past failures in low-carbon urban mobility innovations," Energy Policy, Elsevier, vol. 166(C).
    18. Ester Guijarro & Cristina Santadreu-Mascarell & Beatriz Blasco-Gallego & Lourdes Canós-Darós & Eugenia Babiloni, 2021. "On the Identification of the Key Factors for a Successful Use of Twitter as a Medium from a Social Marketing Perspective," Sustainability, MDPI, vol. 13(12), pages 1-15, June.
    19. Weina Qu & Hongli Sun & Yan Ge, 2021. "The effects of trait anxiety and the big five personality traits on self-driving car acceptance," Transportation, Springer, vol. 48(5), pages 2663-2679, October.
    20. Roman Dostál & Josef Kocourek & Aneta Matysková & Karolína Moudrá & Vojtěch Nižňanský, 2021. "The Implementation of the Smart City Process—Researchers’ Knowledge in Detecting Transport System Defects," Sustainability, MDPI, vol. 13(6), pages 1-16, March.

    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:13:y:2020:i:1:p:254-:d:470241. 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.