research-article

Will You Come Back / Check-in Again?: Understanding Characteristics Leading to Urban Revisitation and Re-check-in

Authors:

Huangdong Wang,

Vassilis Kostakos,

Yong LiAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 4, Issue 3

Article No.: 76, Pages 1 - 27

https://doi.org/10.1145/3411812

Published: 04 September 2020 Publication History

Abstract

Recent years have witnessed much work unraveling human mobility patterns through urban visitation and location check-in data. Traditionally, user visitation and check-in have been assumed as the same behavior, yet this fundamental assumption can be questionable and lacks supporting evidence. In this paper, we seek to understand the similarities and differences of visitation and check-in by presenting a large-scale systematic analysis under the specific setting of urban revisitation and re-check-in, which demonstrate people's periodic behaviors and regularities. Leveraging a localization dataset to model urban revisitation and a Foursqaure dataset to delineate re-check-in, we identify features concerning POI visitation patterns, POI background information, user visitation patterns, user preference and users' behavioral characteristics to understand their effects on urban revisitation and re-check-in. We examine the relationship between revisitation/re-check-in rate and the features we identify, highlighting the similarities and differences between urban revisitation and re-check-in. We demonstrate the prediction effectiveness of the identified characteristics utilizing machine learning models, with an overall ROC AUC of 0.92 for urban revisitation and 0.82 for re-check-in, respectively. This study has important research implications, including improved modeling of human mobility and better understanding of human behavior, and sheds light on designing novel ubiquitous computing applications.

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Index Terms

Will You Come Back / Check-in Again?: Understanding Characteristics Leading to Urban Revisitation and Re-check-in
1. Information systems
  1. Information systems applications
    1. Data mining
2. Social and professional topics
  1. User characteristics
    1. Geographic characteristics

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 4, Issue 3

September 2020

1061 pages

EISSN:2474-9567

DOI:10.1145/3422862

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Copyright © 2020 ACM.

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Published: 04 September 2020

Published in IMWUT Volume 4, Issue 3

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National Key Research and Development Program of China
Beijing National Research Center for Information Science and Technology
research fund of Tsinghua University - Tencent Joint Laboratory for Internet Innovation Technology
Beijing Natural Science Foundation
National Nature Science Foundation of China

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Cited By

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https://dl.acm.org/doi/10.5555/3698900.3698917
Ahmad MSharma S(2024)From Screens to StreetsDecoding Tourist Behavior in the Digital Era10.4018/979-8-3693-3972-5.ch010(239-260)Online publication date: 20-Sep-2024
https://doi.org/10.4018/979-8-3693-3972-5.ch010
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https://dl.acm.org/doi/10.1145/3631700.3664867
Zhang BAnderson JSarkar DSoden R(2024)A Quantitative Approach to Identifying Emergent Editor Roles in Open Street MapProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641963(1-14)Online publication date: 11-May-2024
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Li MVardasbi AYates Ade Rijke MChen HDuh WHuang HKato MMothe JPoblete B(2023)Repetition and Exploration in Sequential RecommendationProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591914(2532-2541)Online publication date: 19-Jul-2023
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Tong WTong YXia CHua JLi QZhong S(2022)Understanding Location Privacy of the Point-of-Interest Aggregate Data via Practical Attacks and DefensesIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.3184279(1-17)Online publication date: 2022
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Tu EChen YLiu EKeng HLi C(2022)An Embarrassingly Simple Rule-based Visiting Circulation Approach to Trip Destination Prediction2022 IEEE International Conference on Big Data (Big Data)10.1109/BigData55660.2022.10020650(6565-6572)Online publication date: 17-Dec-2022
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Huang HYang XHe S(2021)Multi-Head Spatio-Temporal Attention Mechanism for Urban Anomaly Event PredictionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34780995:3(1-21)Online publication date: 14-Sep-2021
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