Transportation Research Part C Emerging Technologies· 2016Q1· Review
The promises of big data and small data for travel behavior (aka human mobility) analysis
- 568citations
- Q1SCImago
- 2016year
Short summary
This paper bridges the gap between traditional transportation research and newer data-driven approaches (e.g., from computer science) for analyzing human mobility.
AI-generated from the title and abstract; the full text is not read.
Key points
- Two distinct fields, transportation research and data science, analyze human mobility using different datasets and methods.
- Traditional transportation research has decades of experience in modeling movement.
- Newer fields, primarily computer science and physics, bring data-driven approaches and large datasets.
- The paper advocates for cross-discipline collaboration to leverage synergies between these fields.
AI-generated from the title and abstract; the full text is not read.
Abstract
The last decade has witnessed very active development in two broad, but separate fields, both involving understanding and modeling of how individuals move in time and space (hereafter called "travel behavior analysis" or "human mobility analysis"). One field comprises transportation researchers who have been working in the field for decades and the other involves new comers from a wide range of disciplines, but primarily computer scientists and physicists. Researchers in these two fields work with different datasets, apply different methodologies, and answer different but overlapping questions. It is our view that there is much, hidden synergy between the two fields that needs to be brought out. It is thus the purpose of this paper to introduce datasets, concepts, knowledge and methods used in these two fields, and most importantly raise cross-discipline ideas for conversations and collaborations between the two. It is our hope that this paper will stimulate many future cross-cutting studies that involve researchers from both fields.
The authors' abstract, as published at the source. Transportation Research Part C Emerging Technologies, 2016 · DOI ↗
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Field: Transportation
TransportationSocial Sciences