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The Impacts of Low-Carbon Incentives and Carbon-Reduction Awareness on Airport Ground Access Mode Choice under Travel Time Uncertainty: A Hybrid CPT-MNL Model

Author

Listed:
  • Mengru Shao

    (Urban Planning and Transportation, Department of the Built Environment, Eindhoven University of Technology, 5600MB Eindhoven, The Netherlands)

  • Chao Chen

    (State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China)

  • Qingchang Lu

    (School of Electronics and Control Engineering, Chang’an University, Xi’an 710064, China)

  • Xinyu Zuo

    (School of Electronics and Control Engineering, Chang’an University, Xi’an 710064, China)

  • Xueling Liu

    (Don School, International Education College, Shandong Jiaotong University, Jinan 250357, China)

  • Xiaoning Gu

    (State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China)

Abstract

Developing strategies to incentivize travelers towards adopting sustainable mobility options is one of the effective approaches to mitigate carbon emissions. Using Xi’an Xianyang International Airport as a case study, this study aims to explore the effects of low-carbon incentives and carbon-reduction awareness on airport ground access mode choices. In addition, to account for the complex road environment, an innovative stated preference choice experiment was designed, integrating the factor of travel time uncertainty. Then, a hybrid cumulative prospect theory–Multinomial Logit (CPT-MNL) model was also developed. The estimated results revealed that travelers increasingly prioritize emissions reduction and consciously prefer sustainable mobility options to reach the airport. Furthermore, the potential of low-carbon incentives to encourage public transport usage over private vehicles has been highlighted. Notably, travel time uncertainty had a significant impact on the choice of private cars. When the travel time to the airport is uncertain, travelers exhibit a greater inclination towards selecting public transport. The findings of this study offer nuanced insights for transportation authorities, aiding them in fostering the adoption of sustainable mobility options and achieving carbon reduction objectives.

Suggested Citation

  • Mengru Shao & Chao Chen & Qingchang Lu & Xinyu Zuo & Xueling Liu & Xiaoning Gu, 2023. "The Impacts of Low-Carbon Incentives and Carbon-Reduction Awareness on Airport Ground Access Mode Choice under Travel Time Uncertainty: A Hybrid CPT-MNL Model," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12610-:d:1221169
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    References listed on IDEAS

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    1. Alhussein, Saad N., 2011. "Analysis of ground access modes choice King Khaled International Airport, Riyadh, Saudi Arabia," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1361-1367.
    2. Gokasar, Ilgin & Gunay, Gurkan, 2017. "Mode choice behavior modeling of ground access to airports: A case study in Istanbul, Turkey," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 1-7.
    3. Hensher, David A., 2017. "Future bus transport contracts under a mobility as a service (MaaS) regime in the digital age: Are they likely to change?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 86-96.
    4. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    5. Chang, Yu-Chun, 2013. "Factors affecting airport access mode choice for elderly air passengers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 57(C), pages 105-112.
    6. Fanyuan Deng & Zhaofeng Lv & Lijuan Qi & Xiaotong Wang & Mengshuang Shi & Huan Liu, 2020. "A big data approach to improving the vehicle emission inventory in China," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    7. 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.
    8. Jia Guo & Tao Feng & Harry J. P. Timmermans, 2020. "Modeling co-dependent choice of workplace, residence and commuting mode using an error component mixed logit model," Transportation, Springer, vol. 47(2), pages 911-933, April.
    9. Aleksandra Colovic & Salvatore Gabriele Pilone & Katarina Kukić & Milica Kalić & Slavica Dožić & Danica Babić & Michele Ottomanelli, 2022. "Airport Access Mode Choice: Analysis of Passengers’ Behavior in European Countries," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    10. Satoshi Fujii & Ryuichi Kitamura, 2003. "What does a one-month free bus ticket do to habitual drivers? An experimental analysis of habit and attitude change," Transportation, Springer, vol. 30(1), pages 81-95, February.
    11. Geng, Jichao & Long, Ruyin & Chen, Hong, 2016. "Impact of information intervention on travel mode choice of urban residents with different goal frames: A controlled trial in Xuzhou, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 134-147.
    12. Brand, Christian & Anable, Jillian & Tran, Martino, 2013. "Accelerating the transformation to a low carbon passenger transport system: The role of car purchase taxes, feebates, road taxes and scrappage incentives in the UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 132-148.
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