2021
DOI: 10.3390/su13169324
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What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul

Abstract: Mobility as a Service (MaaS), which integrates public and shared transportation into a single service, is drawing attention as a travel demand management strategy aimed at reducing automobile dependency and encouraging public transit. In particular, there have been few studies that recognize traffic congestion during peak hours and identify related factors for practical application. The purpose of this study is to explore what factors affect Seoul commuters’ mode choice including MaaS. A web-based survey that … Show more

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Cited by 10 publications
(3 citation statements)
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“…Furthermore, the willingness to pay was much lower compared to the current daily limit (according to a subsequent case study located in Australia [30]), suggesting a careful segmentation of the market and the need for cross-subsidy strategies. Kim et al [31], who investigated the potential of the MaaS package in Seoul using a web-based interview, followed a similar approach and design. In their study, the binary choice task between the current travel pattern and a proposed mobility package was repeated five times.…”
Section: Sp Studies On Maas Bundlingmentioning
confidence: 99%
“…Furthermore, the willingness to pay was much lower compared to the current daily limit (according to a subsequent case study located in Australia [30]), suggesting a careful segmentation of the market and the need for cross-subsidy strategies. Kim et al [31], who investigated the potential of the MaaS package in Seoul using a web-based interview, followed a similar approach and design. In their study, the binary choice task between the current travel pattern and a proposed mobility package was repeated five times.…”
Section: Sp Studies On Maas Bundlingmentioning
confidence: 99%
“…They include variables related to (1) travel habits of respondents, such as frequency of use of travel modes, and their characteristics, such as income, and (2) attributes of the composition of the MaaS package, i.e., the presence of specific mobility options with defined characteristics, such as unlimited bike sharing. The latter were obtained from the first SP part, where an MaaS bundle was selected among those presented [29,30].…”
Section: Model For Maas Adoption Forecastingmentioning
confidence: 99%
“…On average, the walking distance between all households and the hub is approximately 160 feet. As the crucial role of the proximity between households and mobility hubs in promoting higher usage of the given mobility service [148], this output achieves a balanced performance in both access and equality.…”
Section: Block Scale Design Interpretationmentioning
confidence: 99%