IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v101y2023ics0739885923000902.html
   My bibliography  Save this article

Analysis of truckers’ intentions in choosing freeways or parallel national and provincial roads

Author

Listed:
  • Zhang, Ning
  • Wu, Yiping
  • Rong, Jian
  • Shao, Juan
  • Chen, Jiayuan
  • Zhou, Chenjing

Abstract

The traffic volumes of trucks on freeways and parallel national and provincial roads significantly vary; moreover, the utilization rate of freeways is markedly low at times. Implementing effective traffic volume guidance to change the travel route choice intentions of truckers is a critical approach to improving the utilization rate of freeways. Travel route choice intentions are influenced by numerous factors, such as personal and travel characteristics. In this study, based on structural equation modeling (SEM), 186 truckers on freeways and 522 truckers on parallel national and provincial roads were collected using structural equation modeling (SEM) based on a questionnaire survey in Guangxi, China. Relationship models of the influencing factors of travel route choice intentions for truckers on freeways and on their parallel roads are constructed separately by SEM to explore the direct and indirect effects of the personal characteristics, travel characteristics, economic factors, and travel choice habits of truckers on travel route choice intentions. The model results for truckers on freeways indicate that only travel characteristics significantly affected travel route choice intentions, and this effect was negative. For truckers on parallel national and provincial roads, travel characteristics exerted the most significant positive effect on travel route choice intention; by contrast, travel route choice intention was most negatively affected by economic factors. The results for the two models reveal that personal characteristics, and travel choice habits exert no significant effects on the travel route choice intentions of truckers on freeways and parallel roads. In addition, the results of the mediation analysis demonstrate that personal characteristics have a significant indirect effect on travel choice habits mediated by travel characteristics. Based on the study findings, several recommendations can be suggested as guidelines to facilitate the shifting of the traffic volume of trucks.

Suggested Citation

  • Zhang, Ning & Wu, Yiping & Rong, Jian & Shao, Juan & Chen, Jiayuan & Zhou, Chenjing, 2023. "Analysis of truckers’ intentions in choosing freeways or parallel national and provincial roads," Research in Transportation Economics, Elsevier, vol. 101(C).
    • Handle: RePEc:eee:retrec:v:101:y:2023:i:c:s0739885923000902
    DOI: 10.1016/j.retrec.2023.101350
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885923000902
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2023.101350?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. Theo Arentze & Tao Feng & Harry Timmermans & Jops Robroeks, 2012. "Context-dependent influence of road attributes and pricing policies on route choice behavior of truck drivers: results of a conjoint choice experiment," Transportation, Springer, vol. 39(6), pages 1173-1188, November.
    2. Kiatkawsin, Kiattipoom & Han, Heesup, 2017. "Young travelers' intention to behave pro-environmentally: Merging the value-belief-norm theory and the expectancy theory," Tourism Management, Elsevier, vol. 59(C), pages 76-88.
    3. Burgdorf, Christian & Eisenkopf, Alexander, 2018. "Effects of road tolls for intercity buses on travel activities and the choice of means of transport in German long-distance passenger transport," Research in Transportation Economics, Elsevier, vol. 72(C), pages 92-105.
    4. Eran Ben-Elia & Ido Erev & Yoram Shiftan, 2008. "The combined effect of information and experience on drivers’ route-choice behavior," Transportation, Springer, vol. 35(2), pages 165-177, March.
    5. Feng Han & Rui Xie & Mingyong Lai, 2018. "Traffic density, congestion externalities, and urbanization in China," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(4), pages 400-421, October.
    6. Mai, Tien & Bastin, Fabian & Frejinger, Emma, 2017. "On the similarities between random regret minimization and mother logit: The case of recursive route choice models," Journal of choice modelling, Elsevier, vol. 23(C), pages 21-33.
    7. Zhou, Xiaolu & Wang, Mingshu & Li, Dongying, 2019. "Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    8. Ahmed, Usman & Roorda, Matthew J., 2022. "Modelling carrier type and vehicle type choice of small and medium size firms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    9. Jou, Rong-Chang & Chen, Ke-Hong, 2013. "An application of cumulative prospect theory to freeway drivers’ route choice behaviours," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 123-131.
    10. Jou, Rong-Chang & Yeh, Yi-Chun, 2013. "Freeway passenger car drivers' travel choice behaviour in a distance-based toll system," Transport Policy, Elsevier, vol. 27(C), pages 11-19.
    11. He, Sylvia Y. & Thøgersen, John, 2017. "The impact of attitudes and perceptions on travel mode choice and car ownership in a Chinese megacity: The case of Guangzhou," Research in Transportation Economics, Elsevier, vol. 62(C), pages 57-67.
    12. Di, Xuan & Liu, Henry X., 2016. "Boundedly rational route choice behavior: A review of models and methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 85(C), pages 142-179.
    13. Liu, Diyi & Du, Huibin & Southworth, Frank & Ma, Shoufeng, 2017. "The influence of social-psychological factors on the intention to choose low-carbon travel modes in Tianjin, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 42-53.
    14. Heesup Han & Amr Al-Ansi & Bee-Lia Chua & Beenish Tariq & Aleksandar Radic & Su-hyun Park, 2020. "The Post-Coronavirus World in the International Tourism Industry: Application of the Theory of Planned Behavior to Safer Destination Choices in the Case of US Outbound Tourism," IJERPH, MDPI, vol. 17(18), pages 1-15, September.
    15. Hao, Jingjing & Zhang, Ling & Ji, Xiaofeng & Tang, Jinjun, 2020. "Modeling and analyzing of family intention for the customized student routes: A case study in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    16. Cherry, Christopher R. & Adelakun, Adebola A., 2012. "Truck driver perceptions and preferences: Congestion and conflict, managed lanes, and tolls," Transport Policy, Elsevier, vol. 24(C), pages 1-9.
    17. Anil NP Koushik & M. Manoj & N. Nezamuddin, 2020. "Machine learning applications in activity-travel behaviour research: a review," Transport Reviews, Taylor & Francis Journals, vol. 40(3), pages 288-311, May.
    18. Hélène Bouscasse & Iragaël Joly & Patrick Bonnel, 2018. "How does environmental concern influence mode choice habits? A mediation analysis," Post-Print hal-01868333, HAL.
    19. Juan Gomez & Anestis Papanikolaou & José Manuel Vassallo, 2017. "Users’ perceptions and willingness to pay in interurban toll roads: identifying differences across regions from a nationwide survey in Spain," Transportation, Springer, vol. 44(3), pages 449-474, May.
    20. Romero, Fernando & Gomez, Juan & Paez, Antonio & Vassallo, José Manuel, 2020. "Toll roads vs. Public transportation: A study on the acceptance of congestion-calming measures in Madrid," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 319-342.
    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. Poulopoulou, Maria & Spyropoulou, Ioanna, 2019. "Active traffic management in urban areas: Is it effective for professional drivers? The case of variable message signs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 412-423.
    2. Yousefzadeh Barri, Elnaz & Farber, Steven & Jahanshahi, Hadi & Beyazit, Eda, 2022. "Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms," Journal of Transport Geography, Elsevier, vol. 105(C).
    3. Ciyun Lin & Kang Wang & Dayong Wu & Bowen Gong, 2020. "Research on Residents’ Travel Behavior under Sudden Fire Disaster Based on Prospect Theory," Sustainability, MDPI, vol. 12(2), pages 1-21, January.
    4. Timmer, Sebastian & Bösehans, Gustav & Henkel, Sven, 2023. "Behavioural norms or personal gains? – An empirical analysis of commuters‘ intention to switch to multimodal mobility behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    5. Gomez, Juan & Vassallo, José Manuel, 2015. "Evolution over time of heavy vehicle volume in toll roads: A dynamic panel data to identify key explanatory variables in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 282-297.
    6. Matthew Wigginton Bhagat-Conway & Laura Mirtich & Deborah Salon & Nathan Harness & Alexis Consalvo & Shuyao Hong, 2024. "Subjective variables in travel behavior models: a critical review and Standardized Transport Attitude Measurement Protocol (STAMP)," Transportation, Springer, vol. 51(1), pages 155-191, February.
    7. Mansoor, Umer & Jamal, Arshad & Su, Junbiao & Sze, N.N. & Chen, Anthony, 2023. "Investigating the risk factors of motorcycle crash injury severity in Pakistan: Insights and policy recommendations," Transport Policy, Elsevier, vol. 139(C), pages 21-38.
    8. Garfield Wayne Hunter & Gideon Sagoe & Daniele Vettorato & Ding Jiayu, 2019. "Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review," Sustainability, MDPI, vol. 11(16), pages 1-37, August.
    9. Zhou, Yuyang & Wang, Peiyu & Zheng, Shuyan & Zhao, Minhe & Lam, William H.K. & Chen, Anthony & Sze, N.N. & Chen, Yanyan, 2024. "Modeling dynamic travel mode choices using cumulative prospect theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    10. Liu, Jixiang & Xiao, Longzhu, 2023. "Non-linear relationships between built environment and commuting duration of migrants and locals," Journal of Transport Geography, Elsevier, vol. 106(C).
    11. Talwar, Shalini & Kaur, Puneet & Escobar, Octavio & Lan, Sai, 2022. "Virtual reality tourism to satisfy wanderlust without wandering: An unconventional innovation to promote sustainability," Journal of Business Research, Elsevier, vol. 152(C), pages 128-143.
    12. Kurmankhojayev, Daniyar & Li, Guoyuan & Chen, Anthony, 2024. "Link criticality index: Refinement, framework extension, and a case study," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    13. Usman Ahmed & Matthew J. Roorda, 2023. "Joint and sequential models for freight vehicle type and shipment size choice," Transportation, Springer, vol. 50(5), pages 1613-1629, October.
    14. Huang, Guobin & Zhang, Jie & Yu, Jian & Shi, Xunpeng, 2020. "Impact of transportation infrastructure on industrial pollution in Chinese cities: A spatial econometric analysis," Energy Economics, Elsevier, vol. 92(C).
    15. He, Sylvia Y. & Tao, Sui & Sun, Ka Kit, 2024. "Attitudes towards public transport under extended disruptions and massive-scale transit dysfunction: A Hong Kong case study," Transport Policy, Elsevier, vol. 149(C), pages 247-258.
    16. Jennifer Heiny & Icek Ajzen & Ingrid-Ute Leonhäuser & Peter Schmidt, 2019. "Intentions to Enhance Tourism in Private Households: Explanation and Mediated Effects of Entrepreneurial Experience," Journal of Entrepreneurship and Innovation in Emerging Economies, Entrepreneurship Development Institute of India, vol. 5(2), pages 128-148, July.
    17. Mahdi Takalloo & Changhyun Kwon, 2019. "On the Price of Satisficing in Network User Equilibria," Papers 1911.07914, arXiv.org.
    18. Bowen Zhou & Jieling Jin & Helai Huang & Yuanchang Deng, 2023. "Exploring the Macro Economic and Transport Influencing Factors of Urban Public Transport Mode Share: A Bayesian Structural Equation Model Approach," Sustainability, MDPI, vol. 15(3), pages 1-11, January.
    19. Chaojun Li & Xinjia Huang, 2022. "How Does COVID-19 Risk Perception Affect Wellness Tourist Intention: Findings on Chinese Generation Z," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    20. Li, Zhitao & Tang, Jinjun & Zhao, Chuyun & Gao, Fan, 2023. "Improved centrality measure based on the adapted PageRank algorithm for urban transportation multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).

    More about this item

    Keywords

    Travel route choice intentions; Trucks; Structural equation model; Freeway; Parallel national and provincial roads;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

    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:eee:retrec:v:101:y:2023:i:c:s0739885923000902. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    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.