research-article

Discovery of booming and decaying point-of-interest with human mobility data

Authors:

Xinjiang Lu,

Zhiwen Yu,

He Du,

Fei Yi,

Bin GuoAuthors Info & Claims

UbiComp '17: 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

https://doi.org/10.1145/3123024.3123146

Published: 11 September 2017 Publication History

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Abstract

By observing the Point-Of-Interests (POIs) in cities over time, we can find that some of them disappear, new ones emerge and most of them just keep alive. In this paper, we name such evolutionary process of POI as POI lifetime and the stages of POI lifetime as POI lifetime status. Specifically, when we find a POI appears/disappears by observing the online maps over time, we may say that a POI is in booming/decaying lifetime status. How to discover the booming/decaying POIs is a challenging but valuable task. To address this problem, we propose a framework leveraging the human mobility data to discover the booming and decaying POIs in urban areas. We conduct the experiments on real-world data sets. The results demonstrate that the ensemble classifier can discover the booming/decaying POIs effectively, and the human mobility factors extracted are indicative for discovering the POI lifetime status.

References

[1]

Yongjiu Feng, Yan Liu, and Michael Batty. 2015. Modeling urban growth with GIS based cellular automata and least squares SVM rules: a case study in Qingpu-Songjiang area of Shanghai, China. Stochastic Environmental Research and Risk Assessment (2015), 1--14.

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[2]

Charles M Tiebout. 1956. A pure theory of local expenditures. Journal of political economy 64, 5 (1956), 416--424.

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[3]

Nicholas Jing Yuan, Yu Zheng, Xing Xie, Yingzi Wang, Kai Zheng, and Hui Xiong. 2015. Discovering urban functional zones using latent activity trajectories. TKDE 27, 3 (2015), 712--725.

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Kwon YChatzopoulos Dul Haq EWong RHui P(2019)GeoLifecycleProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33512503:3(1-29)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3351250
Cao HChen ZXu FLi YKostakos V(2018)Revisitation in Urban Space vs. OnlineProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32870342:4(1-24)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1145/3287034

Index Terms

Discovery of booming and decaying point-of-interest with human mobility data
1. Information systems
  1. Information systems applications
    1. Data mining

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UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

September 2017

1089 pages

ISBN:9781450351904

DOI:10.1145/3123024

General Chairs:
Seungyon "Claire" Lee
Google
,
Leila Takayama
UC Santa Cruz
,
Khai Truong
University of Toronto

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]

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Association for Computing Machinery

New York, NY, United States

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Published: 11 September 2017

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National Natural Science Foundation of China
National Basic Research Program of China

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UbiComp '17: The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 11 - 15, 2017

Hawaii, Maui

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Kwon YChatzopoulos Dul Haq EWong RHui P(2019)GeoLifecycleProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33512503:3(1-29)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3351250
Cao HChen ZXu FLi YKostakos V(2018)Revisitation in Urban Space vs. OnlineProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32870342:4(1-24)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1145/3287034

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Point-of-Interest Demand Modeling with Human Mobility Patterns

Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach

Characterizing the life cycle of point of interests using human mobility patterns

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