Car Sharers’ Interest in Integrated Multimodal Mobility Platforms: A Diffusion of Innovations Perspective

Keller, Anna; Aguilar, A. Benítez; Hanss, Daniel

doi:10.3390/su10124689

Cited by 20 publications

(4 citation statements)

References 34 publications

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“…Technology is expected to play an important role when the maturity of MaaS schemes reaches a level where multiple MaaS operators and mobility service provides need to collaborate in a single city. Data fusion [15], journey planning and ticketing applications [16] and integrated multimodal information platforms [17] are some of the technologies that need to be realised as enablers of MaaS. The above-named technologies and systems are present in most conceptual and prototype MaaS architectures proposed in the literature [10].…”

Section: Introductionmentioning

confidence: 99%

Heuristic-Based Journey Planner for Mobility as a Service (MaaS)

et al. 2020

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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.

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Section: Introductionmentioning

confidence: 99%

Heuristic-Based Journey Planner for Mobility as a Service (MaaS)

et al. 2020

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“…Recent traffic modeling systems addressed traffic management problems by integrating multiple modes of transport and considering eco-friendliness [44][45][46][47]. For example, a multi-agent decision support framework used the genetic algorithm to optimize transport graphs and recommend the best combination of transport modes to commuters [45].…”

Section: State-of-the-art Intelligent Transport Management Systemsmentioning

confidence: 99%

An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology

et al. 2021

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The use and coordination of multiple modes of travel efficiently, although beneficial, remains an overarching challenge for urban cities. This paper implements a distributed architecture of an eco-friendly transport guidance system by employing the agent-based paradigm. The paradigm uses software agents to model and represent the complex transport infrastructure of urban environments, including roads, buses, trolleybuses, metros, trams, bicycles, and walking. The system exploits live traffic data (e.g., traffic flow, density, and CO2 emissions) collected from multiple data sources (e.g., road sensors and SCOOT) to provide multimodal route recommendations for travelers through a dedicated application. Moreover, the proposed system empowers the transport management authorities to monitor the traffic flow and conditions of a city in real-time through a dedicated web visualization. We exhibit the advantages of using different types of agents to represent the versatile nature of transport networks and realize the concept of smart transportation. Commuters are supplied with multimodal routes that endeavor to reduce travel times and transport carbon footprint. A technical simulation was executed using various parameters to demonstrate the scalability of our multimodal traffic management architecture. Subsequently, two real user trials were carried out in Nottingham (United Kingdom) and Sofia (Bulgaria) to show the practicality and ease of use of our multimodal travel information system in providing eco-friendly route guidance. Our validation results demonstrate the effectiveness of personalized multimodal route guidance in inducing a positive travel behavior change and the ability of the agent-based route planning system to scale to satisfy the requirements of traffic infrastructure in diverse urban environments.

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“…As the number of inhabitants and the diversity of their jobs increased, new networks of social, economic, and cultural interrelationships and relationships emerged [10]. The use of shared infrastructure and participation in collective undertakings required creating legal regulations and establishing various units managing a given community [11,12]. Such communities could function well when everyone accepted the rules and followed them: the larger the community, the more complex the organization of its life.…”

Section: Need For New Ways To Use Available Means Of Transportmentioning

confidence: 99%

The Impact of Carsharing on Transport in the City. Case Study of Tri-City in Poland

Neumann

2021

Sustainability

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The work on the impact of innovative solutions in urban transport on the inhabitants’ quality of life was discussed. This paper presents the characteristics of the use of shared vehicles in the agglomeration, based on the example of the Tri-City. An analysis of vehicles’ use in given periods of time was performed, indicating the growing interest in using this type of transport in the city. The work was divided into four chapters. The first part concerns the history of travel and urban development. The second discusses all currently available communication solutions in cities. The third chapter contains the research part. It focuses on presenting changes in vehicle availability over a more extended period. The fourth chapter describes the functioning of cars “for minutes” and the operation and use of dedicated mobile applications. The work ended with a summary of theoretical and cognitive content. A significant contribution is a brief analysis of the shared car market in the Tri-City. The available options are characterized. Also, the degree of use has been analyzed. The study concluded with theses about the further rapid development of this industry in northern Poland.

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Car Sharers’ Interest in Integrated Multimodal Mobility Platforms: A Diffusion of Innovations Perspective

Cited by 20 publications

References 34 publications

Heuristic-Based Journey Planner for Mobility as a Service (MaaS)

Heuristic-Based Journey Planner for Mobility as a Service (MaaS)

An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology

The Impact of Carsharing on Transport in the City. Case Study of Tri-City in Poland

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