An Open Extensible Platform for Intermodal Mobility Assistance

Masuch, Nils; Lützenberger, Marco; Keiser, Jan

doi:10.1016/j.procs.2013.06.054

Cited by 16 publications

(6 citation statements)

References 8 publications

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“…Currently, it is mainly approached applying concepts from the realm of graph theory and constraint-satisfaction-problems (Masuch, Marco, & Keiser, 2013), but available research on this topic is still limited.…”

Section: Supply-side Modellingmentioning

confidence: 99%

“…The integrated and realtime multimodal information provided to the traveler can update a traveller's perception of the travel alternatives dynamically (Chorus, Molin, & Van Wee, 2006) and challenge the perceptions of their perceived utility related to non-car modes (Kenyon & Lyons, 2003), inducing modal shift. This information is acquired from unifying very different types and sources of the data, and the data aggregation is still one of the main technical challenges when dealing with intermodal algorithms (Masuch et al, 2013). The integration of information is of vital importance and a pillar in MaaS: it is what the end user receives and upon which the whole supply network builds upon.…”

Section: Supply-side Modellingmentioning

confidence: 99%

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Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges

et al. 2017

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Mobility as a Service (MaaS) is a recent innovative transport concept, anticipated to induce significant changes in the current transport practices. However, there is ambiguity surrounding the concept; it is uncertain what are the core characteristics of MaaS and in which way they can be addressed. Further, there is a lack of an assessment framework to classify their unique characteristics in a systematic manner, even though several MaaS schemes have been implemented around the world. In this study, we define this set of attributes through a literature review, which is then used to describe selected MaaS schemes and existing applications. We also examine the potential implications of the identified core characteristics of the service on the following three areas of transport practices: travel demand modelling, supply-side analysis and business model design. Finally, we propose the necessary enhancements needed to deliver such an innovative service like MaaS, by establishing the state of art in those fields.

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Section: Supply-side Modellingmentioning

confidence: 99%

Section: Supply-side Modellingmentioning

confidence: 99%

Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges

et al. 2017

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“…Apart from car sharing, another mobility model in the sharing economy is ride hailing, with Uber, Sidecar or Lyft as prominent providers (Clewlow & Mishra, 2017; McPeak, 2016). Masuch et al (2013) describe the future mobility landscape as a smart as well as a time‐ and cost‐efficient combination of buses, trains, and ride or bike sharing as alternative modes of transportation. Overall, the increasing number of sharing services implies a downward trend for vehicle ownership (e.g., Elliot & Shaheen, 2011; Martin, Shaheen, & Lidicker, 2010).…”

Section: Major Trends and The Future Of Mobilitymentioning

confidence: 99%

The future of mobility and its impact on the automobile insurance industry

Gatzert

Osterrieder

2020

Risk Manage Insurance Review

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Among the trends impacting most industries are new mobility concepts, digitalization, urbanization, rising environmental awareness, and demographic change. The automobile insurance industry, in particular, is strongly affected by new mobility concepts, including autonomous, shared, and electric vehicles, which are expected to increasingly impact the risk exposure and insurance demand in the future. Identifying and assessing the resulting risk and opportunity landscape from these trends thus becomes a major strategic challenge for insurers. The aim of this paper is to analyze the trends that impact the field of mobility and thus automobile insurers. Based on this, we derive a set of strategic response measures for insurers to enable them to be prepared for the future of mobility.

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“…More than 60% of all travel is made within urban environments, whereas the total sum of urban kilometres is expected to triple by the end of the year 2050 [11]. Masuch, Lützenberger, and Keiser [12] reported that people think mobility is one of the fundamental elements that play a crucial role in the quality of life.…”

Section: Introductionmentioning

confidence: 99%

The Holistic Approach to Urban Mobility Planning with a Modified Focus Group, SWOT, and Fuzzy Analytical Hierarchical Process

2019

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The urban mobility system is an important factor in social development and must, therefore, be tackled in a way that enables balanced, sustainable development. The purpose of the present work was to introduce a new holistic approach to urban mobility system (UMS) planning, which involves a strategic decision-making process with a broad involvement of various stakeholders. For this purpose, an innovative model was created by synthesizing the focus group (FG) method with the nominal group technique (NGT), SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis, and the fuzzy analytical hierarchical process (FAHP) method. The fuzzy approach was chosen for its ability to incorporate imprecise and vague information and make a decision-making UMS process more realistic. Accordingly, the objective of the paper was to propose a newly developed model that will (considering the integration of various urban mobility subsystems) enable the detection, identification, and ranking of key priorities required for a more holistic approach to UMS planning. The results revealed that the developed integrated model enables acquired areas to be ranked according to priorities, which further allows the development of scenarios. Moreover, the model allows a better understanding of how to search for compromises when one is faced with multi-criteria decision-making and coordination of frequently contradictory goals. A new integrated urban mobility model, as proposed herein, was also successfully tested in a real-life application, which proves its potential for use in sustainable urban mobility planning in a holistic way.

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An Open Extensible Platform for Intermodal Mobility Assistance

Cited by 16 publications

References 8 publications

Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges

Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges

The future of mobility and its impact on the automobile insurance industry

The Holistic Approach to Urban Mobility Planning with a Modified Focus Group, SWOT, and Fuzzy Analytical Hierarchical Process

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