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Authors: Yihong Yuan and Maël Le Noc

Affiliation: Department of Geography, Texas State University, San Marcos, TX and U.S.A.

Keyword(s): Taxi Trajectories, Time Series Analysis, Urban Dynamics, Big Geodata.

Abstract: Identifying urban mobility patterns is a crucial research topic in geographic information science, transportation planning, and behavior modeling. Understanding the dynamics of daily mobility patterns is essential for the management and planning of urban facilities and services. Previous studies have utilized taxi trajectories collected from the Global Positioning System (GPS) to model various types of urban patterns, such as identifying urban functional regions and hot spots. However, there is limited research on how the results of these studies can be used to inform real-world problems in urban planning. This research examines the development of sub-centers in Nanjing, China based on Taxi GPS trajectories. The results indicate a clear separation between the urban center and the sub-centers. In addition, we also clustered the time series of taxi pick-up locations to model dynamic urban movement and identify outlier patterns. The results demonstrate the importance of considering huma n mobility patterns in identifying urban functional regions, which provides valuable input for urban planners and policy makers. (More)

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Paper citation in several formats:
Yuan, Y. and Le Noc, M. (2018). Exploring Urban Mobility from Taxi Trajectories: A Case Study of Nanjing, China. In Proceedings of the 7th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-318-6; ISSN 2184-285X, SciTePress, pages 302-307. DOI: 10.5220/0006891203020307

@conference{data18,
author={Yihong Yuan. and Maël {Le Noc}.},
title={Exploring Urban Mobility from Taxi Trajectories: A Case Study of Nanjing, China},
booktitle={Proceedings of the 7th International Conference on Data Science, Technology and Applications - DATA},
year={2018},
pages={302-307},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006891203020307},
isbn={978-989-758-318-6},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Data Science, Technology and Applications - DATA
TI - Exploring Urban Mobility from Taxi Trajectories: A Case Study of Nanjing, China
SN - 978-989-758-318-6
IS - 2184-285X
AU - Yuan, Y.
AU - Le Noc, M.
PY - 2018
SP - 302
EP - 307
DO - 10.5220/0006891203020307
PB - SciTePress

- Science and Technology Publications, Lda.
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