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Complete Trip: A Linked Multimodal Human Mobility Dataset
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Abstract
About the research
The paper introduces Complete Trip as a linked, multimodal human-mobility dataset built from passively collected location observations. It addresses the limitations of datasets that describe isolated travel segments by connecting segments into journey-level records, providing network route representations, distinguishing car, bus, rail, and active travel, and supporting population-level analysis through calibrated weights. The first implementation covers six Utah counties during 2020 and is intended to support reproducible work across transportation, public health, urban science, disaster resilience, and related fields.
Citation
BibTeX
@misc{li2026completetrip,
title = {Complete Trip: A Linked Multimodal Human Mobility Dataset},
author = {Li, Ruohan and Luo, Weiyu and Wu, Xin and Xiong, Chenfeng},
year = {2026},
eprint = {2607.15436},
archivePrefix= {arXiv},
primaryClass = {cs.CY},
url = {https://arxiv.org/abs/2607.15436}
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