IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i18p7522-d412505.html
   My bibliography  Save this article

Analysis and Prediction Model of Resident Travel Satisfaction

Author

Listed:
  • Zhenzhen Xu

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Chunfu Shao

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Shengyou Wang

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Chunjiao Dong

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

Abstract

To promote the sustainable development of urban traffic and improve resident travel satisfaction, the significant factors affecting resident travel satisfaction are analyzed in this paper. An evaluation and prediction model for travel satisfaction based on support vector machine (SVM) is constructed. First, a multinomial logit (MNL) model is constructed to reveal the impact of individual attributes, family attributes and safety hazards on resident travel satisfaction and to clarify the significant factors. Then, a travel satisfaction evaluation model based on the SVM is constructed by taking significant factors as independent variables. Finally, travel optimization measures are proposed and the SVM model is used to predict the effect. Futian Street in Futian District of Shenzhen is taken as the object to carry out specific research. The results show that the following factors have a significant effect on resident travel satisfaction: age, job, level of education, number of car, income, residential area and potential safety hazards of people, vehicles, roads, environment, etc. The model fitting accuracy is 87.76%. The implementation of travel optimization measures may increase travel satisfaction rate by 14.07%.

Suggested Citation

  • Zhenzhen Xu & Chunfu Shao & Shengyou Wang & Chunjiao Dong, 2020. "Analysis and Prediction Model of Resident Travel Satisfaction," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7522-:d:412505
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/18/7522/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/18/7522/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Fenglong & Mao, Zidan & Wang, Donggen, 2020. "Residential relocation and travel satisfaction change: An empirical study in Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 341-353.
    2. Natalia Casado-Sanz & Begoña Guirao & Maria Attard, 2020. "Analysis of the Risk Factors Affecting the Severity of Traffic Accidents on Spanish Crosstown Roads: The Driver’s Perspective," Sustainability, MDPI, vol. 12(6), pages 1-26, March.
    3. Jonas De Vos & Patricia L. Mokhtarian & Tim Schwanen & Veronique Van Acker & Frank Witlox, 2016. "Travel mode choice and travel satisfaction: bridging the gap between decision utility and experienced utility," Transportation, Springer, vol. 43(5), pages 771-796, September.
    4. Jesper Bláfoss Ingvardson & Sigal Kaplan & João de Abreu e Silva & Floridea Ciommo & Yoram Shiftan & Otto Anker Nielsen, 2020. "Existence, relatedness and growth needs as mediators between mode choice and travel satisfaction: evidence from Denmark," Transportation, Springer, vol. 47(1), pages 337-358, February.
    5. Yibin Ao & Chuan Chen & Dujuan Yang & Yan Wang, 2018. "Relationship between Rural Built Environment and Household Vehicle Ownership: An Empirical Analysis in Rural Sichuan, China," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    6. Zahra Zarabi & Philippe Gerber & Sébastien Lord, 2019. "Travel Satisfaction vs. Life Satisfaction: A Weighted Decision-Making Approach," Sustainability, MDPI, vol. 11(19), pages 1-28, September.
    7. Pai‐Hsuen Chen & Chih‐Jen Lin & Bernhard Schölkopf, 2005. "A tutorial on ν‐support vector machines," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 21(2), pages 111-136, March.
    8. Shuhong Ma & Yechao Zhou & Zhoulin Yu & Yan Zhang, 2019. "College Students’ Shared Bicycle Use Behavior Based on the NL Model and Factor Analysis," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    9. Roberto F. Abenoza & Oded Cats & Yusak O. Susilo, 2019. "How does travel satisfaction sum up? An exploratory analysis in decomposing the door-to-door experience for multimodal trips," Transportation, Springer, vol. 46(5), pages 1615-1642, October.
    10. Qingyou Yan & Guangyu Qin & Meijuan Zhang & Bowen Xiao, 2019. "Research on Real Purchasing Behavior Analysis of Electric Cars in Beijing Based on Structural Equation Modeling and Multinomial Logit Model," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
    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. Barbora Mazúrová & Ján Kollár & Gabriela Nedelová, 2021. "Travel Mode of Commuting in Context of Subjective Well-Being—Experience from Slovakia," Sustainability, MDPI, vol. 13(6), pages 1-17, March.
    2. De Vos, Jonas & Mouratidis, Kostas & Cheng, Long & Kamruzzaman, Md., 2021. "Does a residential relocation enable satisfying travel?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 188-201.
    3. Muhamad Rizki & Tri Basuki Joewono & Dimas B. E. Dharmowijoyo & Prawira Fajarindra Belgiawan, 2021. "Does multitasking improve the travel experience of public transport users? Investigating the activities during commuter travels in the Bandung Metropolitan Area, Indonesia," Public Transport, Springer, vol. 13(2), pages 429-454, June.
    4. Jesper Bláfoss Ingvardson & Mikkel Thorhauge & Sigal Kaplan & Otto Anker Nielsen & Sebastián Raveau, 2022. "Incorporating psychological needs in commute mode choice modelling: a hybrid choice framework," Transportation, Springer, vol. 49(6), pages 1861-1889, December.
    5. Khaleghi, Marjan & Kato, Hirokazu, 2023. "Children’s non-school trips, travel-related subjective well-being, and life satisfaction: Evidence from young adolescents in rural Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    6. Li, Shengxiao (Alex) & Guan, Xiaodong & Wang, Donggen, 2022. "How do constrained car ownership and car use influence travel and life satisfaction?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 202-218.
    7. De Vos, Jonas & Singleton, Patrick A., 2020. "Travel and cognitive dissonance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 525-536.
    8. Kamruzzaman, Md. & Giles-Corti, Billie & De Vos, Jonas & Witlox, Frank & Shatu, Farjana & Turrell, Gavin, 2021. "The life and death of residential dissonants in transit-oriented development: A discrete time survival analysis," Journal of Transport Geography, Elsevier, vol. 90(C).
    9. Alvaro Rodriguez-Valencia & Jose Agustin Vallejo-Borda & German A. Barrero & Hernan Alberto Ortiz-Ramirez, 2022. "Towards an enriched framework of service evaluation for pedestrian and bicyclist infrastructure: acknowledging the power of users’ perceptions," Transportation, Springer, vol. 49(3), pages 791-814, June.
    10. Roland Brown & Yingling Fan & Kirti Das & Julian Wolfson, 2021. "Iterated multisource exchangeability models for individualized inference with an application to mobile sensor data," Biometrics, The International Biometric Society, vol. 77(2), pages 401-412, June.
    11. Mouratidis, Kostas & Ettema, Dick & Næss, Petter, 2019. "Urban form, travel behavior, and travel satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 306-320.
    12. Zuoxian Gan & Tao Feng & Min Yang, 2018. "Exploring the Effects of Car Ownership and Commuting on Subjective Well-Being: A Nationwide Questionnaire Study," Sustainability, MDPI, vol. 11(1), pages 1-20, December.
    13. Rosa Arroyo & Lidón Mars & Tomás Ruiz, 2018. "Perceptions of Pedestrian and Cyclist Environments, Travel Behaviors, and Social Networks," Sustainability, MDPI, vol. 10(9), pages 1-21, September.
    14. Jaewoong Yun, 2023. "Strategies for Improving the Sustainability of Fare-Free Policy for the Elderly through Preferences by Travel Modes," Sustainability, MDPI, vol. 15(20), pages 1-14, October.
    15. Li, Qiaoru & Zhang, Zhe & Li, Kun & Chen, Liang & Wei, Zhenlin & Zhang, Jingchun, 2020. "Evolutionary dynamics of traveling behavior in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    16. Gao, Yanan & Rasouli, Soora & Timmermans, Harry & Wang, Yuanqing, 2018. "Trip stage satisfaction of public transport users: A reference-based model incorporating trip attributes, perceived service quality, psychological disposition and difference tolerance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 759-775.
    17. Sheng, Lu & Wu, Xiao & He, Yan, 2023. "Impact of residential relocation on activity-travel behaviors between household couples: A case study of Kunming, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    18. Jiankun Yang & Min He & Mingwei He, 2022. "Exploring the Group Difference in the Nonlinear Relationship between Commuting Satisfaction and Commuting Time," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    19. Vorapot Sapsirisavat & Wiriya Mahikul, 2021. "Drinking and Night-Time Driving May Increase the Risk of Severe Health Outcomes: A 5-Year Retrospective Study of Traffic Injuries among International Travelers at a University Hospital Emergency Cente," IJERPH, MDPI, vol. 18(18), pages 1-9, September.
    20. Mouratidis, Kostas, 2019. "Built environment and leisure satisfaction: The role of commute time, social interaction, and active travel," Journal of Transport Geography, Elsevier, vol. 80(C).

    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:18:p:7522-:d:412505. 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.