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Understanding tourism travel behavior by combining revealed preference survey and mobile phone data

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  • Li, Yigang
  • Yao, Enjian
  • Yang, Yang
  • Li, Binbin

Abstract

Tourism transportation is an indispensable element in tourism activities, serving as the premise for the emergence and development of tourism. Understanding the travel modes and path choice behaviors of tourists is the first step toward enhancing tourism transportation. An increasing amount of mobile phone (MP) data containing abundant information has been widely accumulated with the aid of information and communication technology. However, its limitations in capturing the travel modes of tourists and factors affecting their travel behavior (e.g., travel attitudes of travelers) restrict its further application. By contrast, revealed preference (RP) survey data collected through questionnaires include these factors. Nevertheless, from the perspective of dataset size, passive data sources such as MP data provide larger datasets than conventional questionnaire surveys (e.g., RP surveys). Therefore, this study proposes a set of new approaches for estimating the travel modes and path choices of tourists by combining the RP survey and MP data. The joint estimation of the two datasets based on a nested model structure with balanced parameters can adapt to different scales of the two datasets. Furthermore, we investigated tourists’ concerns regarding comfort and environmental protection and constructed a hybrid choice model (HCM) to quantify their impact. The travel process of tourists was more accurately reflected by introducing the stochastic transfer waiting time extracted from the MP data, and the performance of the estimation method was improved. The proposed model, findings, and discussion provide a basis for establishing policy measures, thereby contributing to improving the service quality and modal share of public transportation.

Suggested Citation

  • Li, Yigang & Yao, Enjian & Yang, Yang & Li, Binbin, 2025. "Understanding tourism travel behavior by combining revealed preference survey and mobile phone data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 194(C).
    • Handle: RePEc:eee:transa:v:194:y:2025:i:c:s0965856425000369
    DOI: 10.1016/j.tra.2025.104408
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    1. Nour, Akram & Hellinga, Bruce & Casello, Jeffrey, 2016. "Classification of automobile and transit trips from Smartphone data: Enhancing accuracy using spatial statistics and GIS," Journal of Transport Geography, Elsevier, vol. 51(C), pages 36-44.
    2. Arenoe, Bjorn & van der Rest, Jean-Pierre I. & Kattuman, Paul, 2015. "Game theoretic pricing models in hotel revenue management: An equilibrium choice-based conjoint analysis approach," Tourism Management, Elsevier, vol. 51(C), pages 96-102.
    3. Jones, Stewart & Hensher, David A., 2007. "Modelling corporate failure: A multinomial nested logit analysis for unordered outcomes," The British Accounting Review, Elsevier, vol. 39(1), pages 89-107.
    4. Zhenghong Peng & Guikai Bai & Hao Wu & Lingbo Liu & Yang Yu, 2021. "Travel mode recognition of urban residents using mobile phone data and MapAPI," Environment and Planning B, , vol. 48(9), pages 2574-2589, November.
    5. Jiang, Shixiong & Cai, Canhuang, 2022. "Unraveling the dynamic impacts of COVID-19 on metro ridership: An empirical analysis of Beijing and Shanghai, China," Transport Policy, Elsevier, vol. 127(C), pages 158-170.
    6. Abdelwahab, Walid M., 1998. "Elasticities of mode choice probabilities and market elasticities of demand: Evidence from a simultaneous mode choice/shipment-size freight transport model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 34(4), pages 257-266, December.
    7. Deenihan, Gerard & Caulfield, Brian, 2015. "Do tourists value different levels of cycling infrastructure?," Tourism Management, Elsevier, vol. 46(C), pages 92-101.
    8. Su, Lujun & Swanson, Scott R., 2017. "The effect of destination social responsibility on tourist environmentally responsible behavior: Compared analysis of first-time and repeat tourists," Tourism Management, Elsevier, vol. 60(C), pages 308-321.
    9. Carlo Giacomo Prato & Shlomo Bekhor & Cristina Pronello, 2012. "Latent variables and route choice behavior," Post-Print halshs-00733464, HAL.
    10. Maria Kamargianni & Moshe Ben-Akiva & Amalia Polydoropoulou, 2014. "Incorporating social interaction into hybrid choice models," Transportation, Springer, vol. 41(6), pages 1263-1285, November.
    11. Pagliara, Francesca & La Pietra, Andrea & Gomez, Juan & Manuel Vassallo, José, 2015. "High Speed Rail and the tourism market: Evidence from the Madrid case study," Transport Policy, Elsevier, vol. 37(C), pages 187-194.
    12. Zhenbo Lu & Zhen Long & Jingxin Xia & Chengchuan An, 2019. "A Random Forest Model for Travel Mode Identification Based on Mobile Phone Signaling Data," Sustainability, MDPI, vol. 11(21), pages 1-21, October.
    13. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    14. Chen, Lin & Yao, Enjian & Yang, Yang & Pan, Long & Liu, ShaSha, 2024. "Understanding passengers' intermodal travel behavior to improve air-rail service: A case study of Beijing-Tianjin-Hebei urban agglomeration," Journal of Air Transport Management, Elsevier, vol. 118(C).
    15. Kemperman, Astrid, 2021. "A review of research into discrete choice experiments in tourism: Launching the Annals of Tourism Research Curated Collection on Discrete Choice Experiments in Tourism," Annals of Tourism Research, Elsevier, vol. 87(C).
    16. Oppewal, Harmen & Huybers, Twan & Crouch, Geoffrey I., 2015. "Tourist destination and experience choice: A choice experimental analysis of decision sequence effects," Tourism Management, Elsevier, vol. 48(C), pages 467-476.
    17. van Cranenburgh, S. & Chorus, C.G. & van Wee, B., 2014. "Vacation behaviour under high travel cost conditions – A stated preference of revealed preference approach," Tourism Management, Elsevier, vol. 43(C), pages 105-118.
    18. Grigolon, Anna B. & Kemperman, Astrid D.A.M. & Timmermans, Harry J.P., 2012. "The influence of low-fare airlines on vacation choices of students: Results of a stated portfolio choice experiment," Tourism Management, Elsevier, vol. 33(5), pages 1174-1184.
    19. Frank Schlosser & Benjamin F. Maier & Olivia Jack & David Hinrichs & Adrian Zachariae & Dirk Brockmann, 2020. "COVID-19 lockdown induces disease-mitigating structural changes in mobility networks," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(52), pages 32883-32890, December.
    20. Ben-Akiva, Moshe & McFadden, Daniel & Train, Kenneth & Börsch-Supan, Axel, 2002. "Hybrid Choice Models: Progress and Challenges," Sonderforschungsbereich 504 Publications 02-29, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    21. Juan Li & Jing Ye & Qinglian He & Chunfu Shao, 2016. "A Novel Scheme to Relieve Parking Pressure at Tourist Attractions on Holidays," Sustainability, MDPI, vol. 8(2), pages 1-11, February.
    22. Carlo Prato & Shlomo Bekhor & Cristina Pronello, 2012. "Latent variables and route choice behavior," Transportation, Springer, vol. 39(2), pages 299-319, March.
    23. repec:xrs:meawpa:02009 is not listed on IDEAS
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