Mobility as a Resource (MaaR) for Resilient Human-Centric Automation – A Vision Paper

Abstract With technological advances, mobility has been moving from a product (i.e., traditional modes and vehicles), to a service (i.e., Mobility as a Service, MaaS). However, as observed in other fields (e.g., cloud computing resource management) we argue that mobility will evolve from a service to a resource (i.e., “Mobility as a Resource”, MaaR). Further, due to increasing scarcity of shared-mobility spaces across traditional and emerging modes, the transition must be viewed within the critical need for ethical and equitable solutions for the traveling public (i.e., research is needed to avoid hyper-market driven outcomes for society). The evolution of mobility into a resource requires novel conceptual frameworks, technologies, processes and perspectives of analysis. A key component of the future MaaR system is the technological capacity to observe, allocate and manage (in real-time) the smallest envisionable units of mobility (i.e., atomic units of mobility capacity) while providing prioritized attention to human movement and ethical metrics related to access, consumption and impact. To facilitate research into the envisioned future system, this paper proposes initial frameworks which synthesize and advance methodologies relating to highly dynamic capacity reservation systems. Future research requires synthesis across transport network management, demand behavior, mixed-mode usage, and equitable mobility.

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Publication Details

Journal
Data Science for Transportation
Published
2024-12-18
DOI
https://doi.org/10.1007/s42421-024-00115-z
Citations
2
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.41

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article

Mobility as a Resource (MaaR) for Resilient Human-Centric Automation – A Vision Paper

S. Travis Waller, Susann Wagenknecht, Leandros Tassiulas, Satish V. Ukkusuri et al.
2 citations
Data Science for Transportation
Transportation and Mobility Innovations
0.41
article

Mobility as a Resource (MaaR) for Resilient Human-Centric Automation – A Vision Paper

S. Travis Waller, Susann Wagenknecht, Leandros Tassiulas, Satish V. Ukkusuri, Sisi Jian, Amalia Polydoropoulou, Tomasz Bednarz, Athanasios Ziliaskopoulos, Gitakrishnan Ramadurai, Georg Hirte
article en
2 citations

Abstract

Abstract With technological advances, mobility has been moving from a product (i.e., traditional modes and vehicles), to a service (i.e., Mobility as a Service, MaaS). However, as observed in other fields (e.g., cloud computing resource management) we argue that mobility will evolve from a service to a resource (i.e., “Mobility as a Resource”, MaaR). Further, due to increasing scarcity of shared-mobility spaces across traditional and emerging modes, the transition must be viewed within the critical need for ethical and equitable solutions for the traveling public (i.e., research is needed to avoid hyper-market driven outcomes for society). The evolution of mobility into a resource requires novel conceptual frameworks, technologies, processes and perspectives of analysis. A key component of the future MaaR system is the technological capacity to observe, allocate and manage (in real-time) the smallest envisionable units of mobility (i.e., atomic units of mobility capacity) while providing prioritized attention to human movement and ethical metrics related to access, consumption and impact. To facilitate research into the envisioned future system, this paper proposes initial frameworks which synthesize and advance methodologies relating to highly dynamic capacity reservation systems. Future research requires synthesis across transport network management, demand behavior, mixed-mode usage, and equitable mobility.

Data Science for TransportationVol. 7(1)
Nvidia (United Kingdom) (GB), University of Thessaly (GR), Hong Kong University of Science and Technology (HK), Purdue University West Lafayette (US), Indian Institute of Technology Madras (IN), Yale University (US), Nvidia (United States) (US), Technische Universität Dresden (DE), University of the Aegean (GR)
Technische Universität Dresden
Openalex Percentile: Top 38%
Transportation and Mobility Innovations
0.41
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