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Rendering transport behaviours more sustainable is a pressing issue of our times. In this paper, we rely on the deep penetration of mobile phones in order to influence citizens’ behavior through data-driven mobility and persuasive profiles. Our proposed approach aims to nudge users on a personalized level in order to change their mobility behavior and make more sustainable choices. To achieve our goal, first we leverage pervasive mobile sensing to uncover users’ mobility patterns and use of transportation modes. Second, we construct users’ persuadability profiles by considering their personality and mobility behavior. With the use of the aforementioned information we generate personalized interventions that nudge users to adopt sustainable transportation habits. These interventions rely on persuasive technologies and are embedded in a route planning application for smartphones. A pilot study with 30 participants using the system for 6 weeks provided fairly positive evaluation results in terms of the acceptance of our approach and revealed instances of behavioural change.

The mobility landscape has changed over the last years with the advent of innovative transportation solutions which are being constantly deployed whereas more are set to emerge in the near future such as autonomous vehicles and flying taxis. In this landscape a new mobility paradigm has come to the forefront during the last years through Mobility as a Service (MaaS). This refers to a seamless integration of various forms of transport services accessible through one single digital platform. The concept of MaaS is aligned with Smart mobility, one of main Smart City components which refers to smart manners of people and goods mobility through the integration of all transport modes, ICT solutions, zero pollution and congestions and so on [1]. A key enabler for MaaS is technology that can provide the means for complex mobility ecosystems to be integrated, while allowing diverse service providers and related stakeholders (e.g. payment management organizations) to perform transactions between each other (for booking, invoicing, payment, etc.) as well as interact with the traveler, acquire and exchange operational data, and process it into information that can be used to support MaaS related business processes. Such an ecosystem can be centrally coordinated when all participants in the value chain have the same understanding of what needs to be delivered and accept to follow a common approach, which can be proprietary, customized and aligned to vendor specific guidelines. As the MaaS ecosystem expands and the coordination of an increasing number of mobility solutions comes into play, the complexity can be such that new decentralized solutions are required. In this work in progress paper we discuss the role of blockchain technology for enabling seamless mobility for MaaS.

In this paper, we study the effectiveness of personalized persuasive interventions to change urban travelers’ mobility behavior and nudge them towards more sustainable transport choices. More specifically, we embed a set of persuasive design elements in a route planning application and investigate how they affect users’ travel choices. The design elements take into consideration the style, the intensity, the target of persuasive interventions as well as users’ characteristics and the trip purpose. Our results show evidence that our proposed approach motivates users on a personal level to change their mobility behavior and make more sustainable choices. Furthermore, by personalizing the persuasive interventions while considering combinations of interventions styles (in our case messages and visualizations) as well as adjusting the intensity of persuasive interventions according to the trip purpose and the transport modes of the routes which the user is nudged to follow, the effects of the persuasive interventions can be increased.

Sustainable mobility has received significant attention over the recent years due to the negative impact of peoples’ transportation habits on the environment and the society, especially in congested urban areas. In this paper, we present our approach for personalized persuasion aiming to nudge travelers to opt for sustainable mode choices. Our approach leverages persuadability profiles comprising of users’ personality and mobility type in order to identify the persuasive strategy that fits best to the user’s profile, and supports transportation decisions towards more environmental friendly routes, by providing targeted interventions in the form of persuasive messages integrated in a route planning application. A pilot study in the city of Vienna showed evidence that the application affects users’ mobility choices.

Current transportation practices are not sustainable as greenhouse gas (GHG) emissions from the transport sector are increasing at a faster rate than any other energy using sector, especially in urban environments. Technology based behavioural change interventions towards adopting transportation habits that rely more on the use of public transportation, bicycles and walking and less on private cars can provide the means to reduce GHG emissions, mitigate the effects on the environment and improve the quality of life in urban areas. In this paper, we present our approach to support sustainable transportation decisions and nudge users to select more environmental friendly routes through a set of personalized persuasion services which are embedded in route planning applications. The proposed services leverage a multitude of relevant information elements including user profile characteristics and contextual information in order to nudge users to follow green transportation routes.

Recent approaches on tackling the problem of sustainable transportation involve persuasive systems and applications. These systems focus on changing citizens’ behavior towards adopting transportation habits that rely more on the use of public transportation, bicycles and walking and less on private cars. A main drawback of existing applications is the limited use or lack of personalization aspects that consider differences in users’ susceptibility to persuasive strategies. In this paper, we explore two user traits that can be used for personalizing the persuasive strategies applied to end users: personality and mobility type. More specifically, we present the results of a study where we examined the perceived persuadability of eight persuasive strategies on users of five personality types and three mobility types.

We implemented a recommendation system that presents persuasive messages to commuters using a route planning application. Our aim is to nudge users towards following routes that are environmentally friendly with lower CO2 emissions than those they usually take. Our implementation leverages contextual information and transportation user profiles while the messages are defined based on a set of persuasive strategies. The recommender is integrated in a route planning application for android based smartphones and was used in a trial in the cities of Vienna and Dublin. Users' qualitative feedback showed that the feature was found interesting and provided insights for future improvements.

Part 6: Innovative Technologies; International audience; Participatory governance entails converting citizens from passive users of administrative decisions into active participants of political procedures. Public institutions and organizations can benefit from methods and tools able to aggregate and interpret information dispersed among citizens. In this paper we explore the use of Information Aggregation Markets (IAMs) for citizen engagement. We identify the benefits of IAMs and explain how markets can be used to aggregate citizens’ opinions and views on policy issues. Furthermore we report on two real life cases where we deployed IAMs to assist the decision making processes of public organizations. The positive feedback from participants and decision makers provides empirical evidence on the benefits of IAMs as a method for engaging citizens in public policy decision making.

The continuing growth of urbanisation poses a real threat to the operation of transportation services in large metropolitan areas around the world. As a response, several initiatives that promote public transport and active travelling have emerged in the last few years. Mobility as a Service (MaaS) is one such initiative with the main goal being the provision of a holistic urban mobility solution through a single interface, the MaaS operator. The successful implementation of MaaS requires the support of a technology platform for travellers to fully benefit from the offered transport services. A central component of such a platform is a journey planner with the ability to provide trip options that efficiently integrate the different modes included in a MaaS scheme. This paper presents a heuristic that implements a scenario-based journey planner for users of MaaS. The proposed heuristic provides routes composed of different modes including private cars, public transport, bike-sharing, car-sharing and ride-hailing. The methodological approach for the generation of journeys is explained and its implementation using a microservices architecture is presented. The implemented system was trialled in two European cities and the analysis of user satisfaction results reveal good overall performance.