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A Conceptual Framework for Mobility Data Science
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DOI：10.1109/ACCESS.2024.3445166.png)
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Abstract
En 中文
The rapid digitalization of the mobility and transport ecosystem generates an escalating volume of data as a by-product, presenting an invaluable resource for various stakeholders. This mobility and transport data can fuel data-driven services, ushering in a new era of possibilities. To facilitate the development of these digitalized mobility services, we propose a novel conceptual framework for Mobility Data Science. Our approach seamlessly merges two distinct research domains: 1) mobility and transport science, and 2) data science. Mobility Data Science serves as a connective tissue, bridging the digital layers of physical mobility and transport artefacts such as people, goods, transport means, and infrastructure with the digital layer of data-driven services. In this paper, we introduce our conceptual framework, shaped by insights from domain experts deeply immersed in the mobility and transport ecosystem. We present a practical application of our framework in guiding the implementation of a driving style detection service, demonstrating its effectiveness in translating theoretical concepts into real-world solutions. Furthermore, we validate our framework's versatility by applying it to various real-world cases from the scientific literature. Our demonstration showcases the framework's adaptability and its potential to unlock value by harnessing mobility and transport data, enabling the creation of impactful data-driven services. We believe our framework offers valuable insights for researchers and practitioners: It provides a structured approach to comprehend and leverage the potential of mobility and transport data for developing impactful data-driven services, which we refer to as digitalized mobility services.
Keywords:
Data science
Ecosystems
Technological innovation
Automobiles
Sensors
Arrays
Mobility models
Digital systems
Transport protocols
Telecommunication traffic
Mobility data science
mobility and transport
data science
digitalized mobility services
digitalization
digital innovation
conceptual framework
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W