research-article

Revisitation in Urban Space vs. Online: A Comparison across POIs, Websites, and Smartphone Apps

Authors:

Vassilis KostakosAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 2, Issue 4

Article No.: 156, Pages 1 - 24

https://doi.org/10.1145/3287034

Published: 27 December 2018 Publication History

Abstract

We present the first large-scale analysis of POI revisitation patterns, which aims to model the periodic behavior in human mobility. We apply the revisitation analysis technique, which has previously been used to understand website revisitation, and smartphone app revisitations. We analyze a 1.5-year-long Foursquare check-in dataset with 266,909 users in 415 cities around the globe, as well as a Chinese social networking dataset on continuous localization of 15,000 users in Beijing. Our analysis identifies four major POI revisitation patterns and four user revisitation patterns of distinct characteristics, and demonstrates the role of POI functions and geographic constraints in shaping these patterns. We compare our results to previous analysis on website and app revisitation, and highlight the similarities and differences between physical and cyber revisitation activities. These point to fundamental characteristics of human behavior.

References

[1]

Eytan Adar, Jaime Teevan, and Susan T. Dumais. Large scale analysis of web revisitation patterns. In Sigchi Conference on Human Factors in Computing Systems, pages 1197--1206, 2008.

Digital Library

[2]

Simon L. Jones, Denzil Ferreira, Simo Hosio, Jorge Goncalves, and Vassilis Kostakos. Revisitation analysis of smartphone app use. In ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 1197--1208, 2015.

Digital Library

[3]

Marta C Gonzalez, Cesar A Hidalgo, and Albert-Laszlo Barabasi. Understanding individual human mobility patterns. Nature, 453(7196):779, 2008.

[4]

Shan Jiang, Yingxiang Yang, Siddharth Gupta, Daniele Veneziano, Shounak Athavale, and Marta C González. The timegeo modeling framework for urban mobility without travel surveys. Proceedings of the National Academy of Sciences, 113(37):E5370--E5378, 2016.

[5]

Philipp Pushnyakov and Gleb Gusev. User profiles based on revisitation times. In Proceedings of the 23rd International Conference on World Wide Web, pages 359--360. ACM, 2014.

Digital Library

[6]

Jiawei Han, Hong Cheng, Dong Xin, and Xifeng Yan. Frequent pattern mining: current status and future directions. Data mining and knowledge discovery, 15(1):55--86, 2007.

Digital Library

[7]

Jae Gil Lee, Jiawei Han, and Kyu Young Whang. Trajectory clustering: a partition-and-group framework. In ACM SIGMOD International Conference on Management of Data, pages 593--604, 2007.

Digital Library

[8]

Nikos Mamoulis, Huiping Cao, George Kollios, Marios Hadjieleftheriou, Yufei Tao, and David W. Cheung. Mining, indexing, and querying historical spatiotemporal data. In Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, Usa, August, pages 236--245, 2004.

Digital Library

[9]

Hoyoung Jeung, Lung Yiu Man, and Christian S. Jensen. Trajectory pattern mining. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 330--339, 2007.

Digital Library

[10]

Yu Zheng, Lizhu Zhang, Xing Xie, and Wei Ying Ma. Mining interesting locations and travel sequences from gps trajectories. In International Conference on World Wide Web, WWW 2009, Madrid, Spain, April, pages 791--800, 2009.

Digital Library

[11]

Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, and Peter Nye. Mining periodic behaviors for moving objects. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 1099--1108. ACM, 2010.

Digital Library

[12]

Zhenhui Li, Jingjing Wang, and Jiawei Han. Mining event periodicity from incomplete observations. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 444--452. ACM, 2012.

Digital Library

[13]

Zhenhui Li, Jingjing Wang, and Jiawei Han. eperiodicity: Mining event periodicity from incomplete observations. IEEE Transactions on Knowledge and Data Engineering, 27(5):1219--1232, 2015.

Digital Library

[14]

Zhenhui Li and Jiawei Han. Mining periodicity from dynamic and incomplete spatio-temporal data. In Data Mining and Knowledge Discovery for Big Data, pages 41--81. Springer, 2014.

[15]

Quan Yuan, Wei Zhang, Chao Zhang, Xinhe Geng, Gao Cong, and Jiawei Han. Pred: Periodic region detection for mobility modeling of social media users. In Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, pages 263--272. ACM, 2017.

Digital Library

[16]

Tanvi Jindal, Prasanna Giridhar, Lu-An Tang, Jun Li, and Jiawei Han. Spatio-temporal periodical pattern mining in traffic data. In Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, page 11. ACM, 2013.

Digital Library

[17]

Nathan Eagle and Alex Sandy Pentland. Eigenbehaviors: identifying structure in routine. Behavioral Ecology and Sociobiology, 63(7):1057--1066, 2009.

[18]

Fengli Xu, Tong Xia, Hancheng Cao, Yong Li, Funing Sun, and Fanchao Meng. Detecting popular temporal modes in population-scale unlabelled trajectory data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(1):46, 2018.

Digital Library

[19]

Dingqi Yang, Daqing Zhang, Zhiyong Yu, and Zhiwen Yu. Fine-grained preference-aware location search leveraging crowdsourced digital footprints from lbsns. In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, pages 479--488. ACM, 2013.

Digital Library

[20]

Eunjoon Cho, Seth A Myers, and Jure Leskovec. Friendship and mobility: user movement in location-based social networks. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 1082--1090. ACM, 2011.

Digital Library

[21]

Jie Bao, Yu Zheng, David Wilkie, and Mohamed Mokbel. Recommendations in location-based social networks: a survey. GeoInformatica, 19(3):525--565, 2015.

Digital Library

[22]

Jinfeng Zhuang, Tao Mei, Steven CH Hoi, Ying-Qing Xu, and Shipeng Li. When recommendation meets mobile: contextual and personalized recommendation on the go. In Proceedings of the 13th international conference on Ubiquitous computing, pages 153--162. ACM, 2011.

Digital Library

[23]

Miao He, Weixi Gu, and Ying Kong. Group recommendation: by mining users' check-in behaviors. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, pages 65--68. ACM, 2017.

Digital Library

[24]

Jing Yuan, Yu Zheng, and Xing Xie. Discovering regions of different functions in a city using human mobility and pois. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 186--194. ACM, 2012.

Digital Library

[25]

Zipei Fan, Xuan Song, and Ryosuke Shibasaki. Cityspectrum: a non-negative tensor factorization approach. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 213--223. ACM, 2014.

Digital Library

[26]

Fabio Miranda, Harish Doraiswamy, Marcos Lage, Kai Zhao, Bruno Gonçalves, Luc Wilson, Mondrian Hsieh, and Cláudio T Silva. Urban pulse: Capturing the rhythm of cities. IEEE transactions on visualization and computer graphics, 23(1):791--800, 2017.

Digital Library

[27]

Chao Zhang, Keyang Zhang, Quan Yuan, Haoruo Peng, Yu Zheng, Tim Hanratty, Shaowen Wang, and Jiawei Han. Regions, periods, activities: Uncovering urban dynamics via cross-modal representation learning. In Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017, pages 361--370, 2017.

Digital Library

[28]

Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, and Hui Xiong. Point-of-interest demand modeling with human mobility patterns. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 947--955. ACM, 2017.

Digital Library

[29]

Xinjiang Lu, Zhiwen Yu, Leilei Sun, Chuanren Liu, Hui Xiong, and Chu Guan. Characterizing the life cycle of point of interests using human mobility patterns. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 1052--1063. ACM, 2016.

Digital Library

[30]

Xinjiang Lu, Zhiwen Yu, He Du, Fei Yi, and Bin Guo. Discovery of booming and decaying point-of-interest with human mobility data. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, pages 137--140. ACM, 2017.

Digital Library

[31]

Linda Tauscher and Saul Greenberg. Revisitation patterns in world wide web navigation. In Proceedings of the ACM SIGCHI Conference on Human factors in computing systems, pages 399--406. ACM, 1997.

Digital Library

[32]

Linda Tauscher and Saul Greenberg. How people revisit web pages: Empirical findings and implications for the design of history systems. International Journal of Human-Computer Studies, 47(1):97--137, 1997.

Digital Library

[33]

Andy Cockburn and Bruce McKenzie. What do web users do? an empirical analysis of web use. International Journal of human-computer studies, 54(6):903--922, 2001.

Digital Library

[34]

Hartmut Obendorf, Harald Weinreich, Eelco Herder, and Matthias Mayer. Web page revisitation revisited: implications of a long-term click-stream study of browser usage. In Proceedings of the SIGCHI conference on Human factors in computing systems, pages 597--606. ACM, 2007.

Digital Library

[35]

Dingqi Yang, Daqing Zhang, and Bingqing Qu. Participatory cultural mapping based on collective behavior in location based social networks. ACM Transactions on Intelligent Systems and Technology, 2015. in press.

Digital Library

[36]

Dingqi Yang, Daqing Zhang, Longbiao Chen, and Bingqing Qu. Nationtelescope: Monitoring and visualizing large-scale collective behavior in lbsns. Journal of Network and Computer Applications, 55:170--180, 2015.

[37]

GaWC. The world according to gawc 2016. http://www.lboro.ac.uk/gawc/world2016.html, 2017.

[38]

Serdar Çolak, Lauren P Alexander, Bernardo G Alvim, Shomik R Mehndiratta, and Marta C González. Analyzing cell phone location data for urban travel: current methods, limitations, and opportunities. Transportation Research Record: Journal of the Transportation Research Board, (2526):126--135, 2015.

[39]

Francesco Calabrese, Francisco C Pereira, Giusy Di Lorenzo, Liang Liu, and Carlo Ratti. The geography of taste: analyzing cell-phone mobility and social events. In International conference on pervasive computing, pages 22--37. Springer, 2010.

Digital Library

[40]

Santi Phithakkitnukoon, Zbigniew Smoreda, and Patrick Olivier. Socio-geography of human mobility: A study using longitudinal mobile phone data. PloS one, 7(6):e39253, 2012.

[41]

Hancheng Cao, Jie Feng, Yong Li, and Vassilis Kostakos. Uniqueness in the city: Urban morphology and location privacy. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(2):62, 2018.

Digital Library

[42]

Rong Du, Zhiwen Yu, Tao Mei, Zhitao Wang, Zhu Wang, and Bin Guo. Predicting activity attendance in event-based social networks: content, context and social influence. In Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing, pages 425--434. ACM, 2014.

Digital Library

[43]

Yu Zheng, Tong Liu, Yilun Wang, Yanmin Zhu, Yanchi Liu, and Eric Chang. Diagnosing new york city's noises with ubiquitous data. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 715--725. ACM, 2014.

Digital Library

[44]

Julie Boesen, Jennifer A Rode, and Clara Mancini. The domestic panopticon: location tracking in families. In Proceedings of the 12th ACM international conference on Ubiquitous computing, pages 65--74. ACM, 2010.

Digital Library

[45]

Shion Guha and Stephen B Wicker. Spatial subterfuge: an experience sampling study to predict deceptive location disclosures. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 1131--1135. ACM, 2015.

Digital Library

[46]

Dingqi Yang, Daqing Zhang, Bingqing Qu, and Philippe Cudré-Mauroux. Privcheck: privacy-preserving check-in data publishing for personalized location based services. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 545--556. ACM, 2016.

Digital Library

[47]

Yong Liu, Jorge Goncalves, Denzil Ferreira, Simo Hosio, and Vassilis Kostakos. Identity crisis of ubicomp?: mapping 15 years of the field's development and paradigm change. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 75--86. ACM, 2014.

Digital Library

[48]

Yong Liu, Jorge Goncalves, Denzil Ferreira, Bei Xiao, Simo Hosio, and Vassilis Kostakos. Chi 1994-2013: mapping two decades of intellectual progress through co-word analysis. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 3553--3562. ACM, 2014.

Digital Library

[49]

Janne Lindqvist, Justin Cranshaw, Jason Wiese, Jason Hong, and John Zimmerman. I'm the mayor of my house: examining why people use foursquare-a social-driven location sharing application. In Proceedings of the SIGCHI conference on human factors in computing systems, pages 2409--2418. ACM, 2011.

Digital Library

[50]

Sameer Patil, Gregory Norcie, Apu Kapadia, and Adam Lee. Check out where i am!: location-sharing motivations, preferences, and practices. In CHI'12 Extended Abstracts on Human Factors in Computing Systems, pages 1997--2002. ACM, 2012.

Digital Library

Cited By

Bannis APan SRuiz CShen JNoh HZhang P(2023)IDIoT: Multimodal Framework for Ubiquitous Identification and Assignment of Human-carried Wearable DevicesACM Transactions on Internet of Things10.1145/35798324:2(1-25)Online publication date: 13-Apr-2023
https://dl.acm.org/doi/10.1145/3579832
Yan JZhou XYang XShang ZLuo XGuan X(2023)Joint Design of Channel Estimation and Flocking Control for Multi-AUV-Based Maritime Transportation SystemsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.329296724:12(14520-14535)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1109/TITS.2023.3292967
Liu QLiu RZhang YYuan YWang ZYang HYe LGuizani MThompson J(2023)Management of Positioning Functions in Cellular Networks for Time-Sensitive Transportation ApplicationsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.323453224:11(13260-13275)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TITS.2023.3234532
Show More Cited By

Index Terms

Revisitation in Urban Space vs. Online: A Comparison across POIs, Websites, and Smartphone Apps
1. Information systems
  1. Information systems applications
    1. Data mining
2. Social and professional topics
  1. User characteristics
    1. Geographic characteristics

Recommendations

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

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 ...
Large scale analysis of web revisitation patterns
CHI '08: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Our work examines Web revisitation patterns. Everybody revisits Web pages, but their reasons for doing so can differ depending on the particular Web page, their topic of interest, and their intent. To characterize how people revisit Web content, we ...
Web page revisitation revisited: implications of a long-term click-stream study of browser usage
CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

This paper presents results of an extensive long-term click-stream study of Web browser usage. Focusing on character and challenges of page revisitation, previous findings from seven to thirteen years ago are updated. The term page re-visit had to be ...

Comments

Information & Contributors

Information

Published In

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 2, Issue 4

December 2018

1169 pages

EISSN:2474-9567

DOI:10.1145/3301777

Issue’s Table of Contents

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 December 2018

Accepted: 01 October 2018

Revised: 01 August 2018

Received: 01 May 2018

Published in IMWUT Volume 2, Issue 4

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Funding Sources

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

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

36
Total Citations
View Citations
506
Total Downloads

Downloads (Last 12 months)33
Downloads (Last 6 weeks)3

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Bannis APan SRuiz CShen JNoh HZhang P(2023)IDIoT: Multimodal Framework for Ubiquitous Identification and Assignment of Human-carried Wearable DevicesACM Transactions on Internet of Things10.1145/35798324:2(1-25)Online publication date: 13-Apr-2023
https://dl.acm.org/doi/10.1145/3579832
Yan JZhou XYang XShang ZLuo XGuan X(2023)Joint Design of Channel Estimation and Flocking Control for Multi-AUV-Based Maritime Transportation SystemsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.329296724:12(14520-14535)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1109/TITS.2023.3292967
Liu QLiu RZhang YYuan YWang ZYang HYe LGuizani MThompson J(2023)Management of Positioning Functions in Cellular Networks for Time-Sensitive Transportation ApplicationsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.323453224:11(13260-13275)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TITS.2023.3234532
Liao CChen CGuo SWang LGu FLuo JXu K(2023)Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding FrameworkIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2022.320346424:11(13228-13239)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TITS.2022.3203464
Gupta VBedathur S(2023)Modeling Spatial Trajectories Using Coarse-Grained Smartphone LogsIEEE Transactions on Big Data10.1109/TBDATA.2022.32047599:2(608-620)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TBDATA.2022.3204759
Cao DLiu RLi HWang SJiang WLu C(2022)Cross Vision-RF Gait Re-identification with Low-cost RGB-D Cameras and mmWave RadarsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503256:3(1-25)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3550325
Amon MMattingly SNecaise AMark GChawla NDey AD'mello S(2022)Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information WorkersACM Transactions on Computing for Healthcare10.1145/35142593:3(1-27)Online publication date: 5-Jul-2022
https://dl.acm.org/doi/10.1145/3514259
Hu SLi YLiu XLi QWu ZHe B(2022)The OARF Benchmark Suite: Characterization and Implications for Federated Learning SystemsACM Transactions on Intelligent Systems and Technology10.1145/351054013:4(1-32)Online publication date: 28-Jun-2022
https://dl.acm.org/doi/10.1145/3510540
Ren ZYang LChen K(2022)Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping DataACM Transactions on Intelligent Systems and Technology10.1145/350181713:4(1-20)Online publication date: 28-Jun-2022
https://dl.acm.org/doi/10.1145/3501817
Alam MHussain S(2022)Roman-Urdu-Parl: Roman-Urdu and Urdu Parallel Corpus for Urdu Language UnderstandingACM Transactions on Asian and Low-Resource Language Information Processing10.1145/346442421:1(1-20)Online publication date: 18-Jan-2022
https://dl.acm.org/doi/10.1145/3464424
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Issue’s Table of Contents