Hurried or Risk-adverse Travelers: who will Pay More for Multimodal Information?

Dantan, Sophie; Bulteau, Julie; Nicolaı̈, Isabelle

doi:10.1016/j.proeng.2015.07.355

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…Men in the habit of using pre-trip information are less willing to pay than those currently using en-route information • Women show a greater WTP for real-time information and women with high income are less interested in a service-locating option and multiple-itinerary proposal • Women WTP depends on children-related constraints [45] Gender characteristics are not significant to distinguish the groups; however, the idealists and the pragmatics are opposed in terms of age and gender: the first are females (72.7%) and have the lowest average age (41.3) while the second ones are the oldest group (average age 47.2), mainly males (66.2%). Percentage of people willing to pay for Optymod'Lyon was also low (21.4% of the total population).…”

Section: Real-time Transit Informationmentioning

confidence: 99%

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Towards Smarter Urban Mobility: Willingness to Pay for an Advanced Traveller Information System in Lyon

2017

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Advanced traveller information systems (ATIS) are meant to assist people in their daily travel decisions as well as to prompt a shift from cars to alternative and more environmentally-friendly transport strategies. Not many comprehensive studies have been undertaken so far in order to assess the willingness to pay (WTP) for ATIS, despite a development of these tools during the last two decades. This paper aims at analysing the WTP for Optymod'Lyon, a smartphone application which plans your journey travels using real-time information about all available transport modes. To this end, a quali-quantitative approach was adopted, administering a questionnaire to participants and organising focus groups before and after the test of the application. A sample of 42 people living in the metropolitan area of Lyon was involved. Results showed four clusters of participants: idealists, pragmatics, the ambiguous and opportunists. A strong majority of idealists and pragmatics were unwilling to pay, mainly for economic reasons and the availability on the market of free information. They record a lower share of trips to work and a higher share for leisure, shopping and study purposes. Those willing to pay (of which 37.8% were opportunists) report a low monthly charge level (0.2-3 €/month) and are mainly highly-educated car users, travelling for work.

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Section: Real-time Transit Informationmentioning

confidence: 99%

“…The results show that the WTP was higher for male drivers under 45 years old on business trips and for people with a good experience of variable message signs [29]. The second study assesses the WTP for services offered by a multimodal platform and shows gender differences in the rating of such a platform and its use [45].…”

Section: Introductionmentioning

confidence: 96%

Towards Smarter Urban Mobility: Willingness to Pay for an Advanced Traveller Information System in Lyon

2017

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“…While ride-hailing or private-hire companies like Uber or Lyft seem to respond to strong expectations from mobility users, for the moment they have only appeared in dense areas. A common feature of innovative mobility offers is their reliance on Intelligent Transportation Systems, which "early adopters" use via mobility applications on their smartphone (Dantan et al, 2015, Le Lab Chronos Ouishare, 2017.…”

Section: Introductionmentioning

confidence: 99%

Assessing 50 innovative mobility offers in low-density areas: A French application using a two-step decision-aid method

2019

Self Cite

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In this article we propose a decision-aid tool for local authorities to plan and implement their transport policies. We set out sustainable-mobility scenarios that depend on the geographical contexts of different areas based on 50 mobility offers, including active modes, car-sharing, public transport, etc. To do so we appeal to a multi-criteria decision analysis (MCDA), relying on an original two-step assessment method. We first use the diviz decision-aid tool to obtain a global score for each mobility offer, on the basis of 18 criteria covering the three pillars of sustainable development (economy, environment and society) and the concerns of the mobility actors themselves (historical actors, newcomers, public authorities and users). This step supports mobility management by local authorities, as it makes it possible to rank mobility offers by type of area. Second, we use the MICMAC decision-aid tool to construct the influence and dependency relationships between our 18 criteria. The aim of this step is to identify some relevant criteria that are determinant in a prospective or strategic analysis, in order to consider what could be a development scenario for the future of everyday mobility in various areas. As alternatives to personal car are rare, we apply this two-step method to the case of low-density areas, and find highlighting results concerning the role of carpooling combined with walking, both being assisted by a powerful mobility application.

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“…The utility of travel information provision becomes tangible in the users’ Willingness-To-Pay (WTP) for travel information, as demonstrated for example in Greece, the UK, and China ( 12 ). Users are willing to pay for information that provides added value compared with existing information services ( 13 ) and that the most valued feature is real-time provision ( 14 ).…”

mentioning

confidence: 99%

Ex-Ante and Ex-Post Evaluation of a New Transit Information App: Modeling Use Intentions and Actual Use

Velázquez

Kaplan

Monzón

2018

Transportation Research Record

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This study investigates the behavioral drivers underlying the adoption of a multimodal travel information mobile app. The hypothesized framework is validated empirically through the case-study of Madrid. Madrid’s Public Transport real-time information app (“Mi Transporte”) allows users to obtain customized and automated information. A three-wave survey containing questions aligned with the Theory of Planned Behavior was conducted in 2015 and 2016 with a representative sample of transit users. Data analysis includes a factor analysis and a structural equation model to validate the hypotheses. The model assumes that the intention to use the app can be explained as a function of attitudinal factors and respondent characteristics. Results show that the app adoption is correlated with the intention of the users to adopt it and with their willingness-to-pay; the users’ intentions can be explained by various factors like user’s expectations on the app, affinity for technology (technophilia) and the previous use of other transport apps. The roles of search functionalities, side-mode information, time saving skills and the importance of the Level of Service (LOS) are also analyzed in the model. Relations between user characteristics and latent variables are subsequently explained as well as the ex-post satisfaction and change in travel patterns to measure the impact on the transport behavior of the app users. The study provides a better understanding of app adoption based on traveler characteristics, the attributes of the app and the perception of its capabilities.

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Hurried or Risk-adverse Travelers: who will Pay More for Multimodal Information?

Cited by 4 publications

References 14 publications

Towards Smarter Urban Mobility: Willingness to Pay for an Advanced Traveller Information System in Lyon

Towards Smarter Urban Mobility: Willingness to Pay for an Advanced Traveller Information System in Lyon

Assessing 50 innovative mobility offers in low-density areas: A French application using a two-step decision-aid method

Ex-Ante and Ex-Post Evaluation of a New Transit Information App: Modeling Use Intentions and Actual Use

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