Abstract
This study explores a tourists’ preference for tour mode bundle, defined as a set of preferable travel modes for multiple trips in a tour, under Mobility-as-a-Service (MaaS). In the context of tourism, MaaS could improve transportation sustainability by providing integrated information about sustainable transportation modes. To develop a systematic understanding of tourists’ preference for tour mode bundle, we design a tour-based stated preference (SP) choice experiment based on bundle configuration of travel modes in MaaS including a shared van as a paratransit mode in combination with the existing bus and taxi services. A web-based SP survey is conducted for 331 individuals who visited Jeju Island in Korea. Two mixed logit models are estimated to reveal differences between the trip- and tour-based mode choice situations. The estimation results reveal that the trip sequence significantly influences the preference for travel mode in a tour mode bundle, which has significant cross effects with individual and travel context attributes. A shared van is the most preferred in both a trip and a tour. Persistence to using the same mode and synergy of using different modes are captured through significant cross effects of sequence-specific travel modes in a tour mode bundle. Based on these findings that can only be identified through tour-based choice situations, MaaS can be more effectively designed in tourism.
| Original language | English |
|---|---|
| Pages (from-to) | 236-255 |
| Number of pages | 20 |
| Journal | Transportation Research Part A: Policy and Practice |
| Volume | 150 |
| DOIs | |
| Publication status | Published - Aug 2021 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Combination of travel modes
- Mobility-as-a-Service
- Tour-based mode choice model
- Tourists’ preference
- Transportation sustainability
- Trip sequence
ASJC Scopus subject areas
- Civil and Structural Engineering
- Transportation
- Management Science and Operations Research
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