Abstract
Understanding the complex dynamics of human navigation and spatial behavior is essential for advancing location-based services, public health, and related fields. This paper investigates the multifaceted relationship between individuals and their environments (e.g. location and places they visit), acknowledging the distinct influences of personal preferences, experiences, and social connections. While certain locations hold sentimental value and are frequently visited, others function as mere transitory points. To the best of our knowledge, this paper is the first to exploit visitation patterns and dwell times to characterize an individual’s relationship with specific locations. We identify seven key types of spatial relationships and analyze the discrepancies among these visit types across semantic, spatial, and temporal dimensions. Our analysis highlights key findings, such as the prevalence of anchored-like visits (e.g. home, work) in both real-world Singapore and Beijing datasets, with unique associations in each city -Singapore’s anchored-liked visits include recreational spaces, while Beijing’s are limited to residential, business, and educational sites. These findings emphasize the importance of geographic and cultural context in shaping mobility and their potential in benefiting the precision and personalization of location-based services.
| Original language | English |
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| Title of host publication | LocalRec 2024 - Proceedings of the 8th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising |
| Editors | Clio Andris, Panagiotis Bouros, Yaron Kanza, Matthias Renz, Dimitris Sacharidis |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 20-29 |
| Number of pages | 10 |
| ISBN (Electronic) | 9798400711527 |
| DOIs | |
| State | Published - Mar 13 2025 |
| Event | 8th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, LocalRec 2024 - Atlanta, United States Duration: Oct 29 2024 → … |
Publication series
| Name | LocalRec 2024 - Proceedings of the 8th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising |
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Conference
| Conference | 8th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, LocalRec 2024 |
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| Country/Territory | United States |
| City | Atlanta |
| Period | 10/29/24 → … |
Funding
This work is supported by the Intelligence Advanced Research Projects Activity (IARPA). Notice: This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paidup, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (https://www.energy.gov/doe-public-access-plan). The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DOE, or the U.S. Government. We would like to thank Nie Xiuling, Bentley Joseph, and Morath Michael for their invaluable support.
Keywords
- Clustering
- Human Mobility
- Patterns of Life
- Semantic trajectory