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

Yigang Li, Enjian Yao, Yang Yang and Binbin Li

Transportation Research Part A: Policy and Practice, 2025, vol. 194, issue C

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.

Keywords: Tourism transportation; Mode choice; Path choice; Data fusion; Nested logit model; Stochastic transfer waiting time (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0965856425000369
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:194:y:2025:i:c:s0965856425000369

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.tra.2025.104408

Access Statistics for this article

Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose

More articles in Transportation Research Part A: Policy and Practice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().