research-article

MobInsight: A Framework Using Semantic Neighborhood Features for Localized Interpretations of Urban Mobility

Authors:

Enrique Frias Martinez,

Nuria OliverAuthors Info & Claims

ACM Transactions on Interactive Intelligent Systems (TiiS), Volume 8, Issue 3

Article No.: 23, Pages 1 - 25

https://doi.org/10.1145/3158433

Published: 05 July 2018 Publication History

Abstract

Collective urban mobility embodies the residents’ local insights on the city. Mobility practices of the residents are produced from their spatial choices, which involve various considerations such as the atmosphere of destinations, distance, past experiences, and preferences. The advances in mobile computing and the rise of geo-social platforms have provided the means for capturing the mobility practices; however, interpreting the residents’ insights is challenging due to the scale and complexity of an urban environment and its unique context. In this article, we present MobInsight, a framework for making localized interpretations of urban mobility that reflect various aspects of the urbanism. MobInsight extracts a rich set of neighborhood features through holistic semantic aggregation, and models the mobility between all-pairs of neighborhoods. We evaluate MobInsight with the mobility data of Barcelona and demonstrate diverse localized and semantically rich interpretations.

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Cited By

Sun YChen TYin H(2023)Spatial-temporal meta-path guided explainable crime predictionWorld Wide Web10.1007/s11280-023-01137-326:4(2237-2263)Online publication date: 3-Feb-2023
https://doi.org/10.1007/s11280-023-01137-3
Yu YTang XYao HYi XLi Z(2021)Citywide Traffic Volume Inference with Surveillance Camera RecordsIEEE Transactions on Big Data10.1109/TBDATA.2019.29350577:6(900-912)Online publication date: 1-Dec-2021
https://doi.org/10.1109/TBDATA.2019.2935057

Index Terms

MobInsight: A Framework Using Semantic Neighborhood Features for Localized Interpretations of Urban Mobility
1. Human-centered computing
  1. Ubiquitous and mobile computing
2. Information systems
  1. Information systems applications
    1. Spatial-temporal systems

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Published In

cover image ACM Transactions on Interactive Intelligent Systems

ACM Transactions on Interactive Intelligent Systems Volume 8, Issue 3

September 2018

235 pages

ISSN:2160-6455

EISSN:2160-6463

DOI:10.1145/3236465

Editor:
Michelle X. Zhou
Juji, Inc., USA

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Copyright © 2018 ACM.

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Publication History

Published: 05 July 2018

Accepted: 01 February 2018

Revised: 01 January 2018

Received: 01 July 2017

Published in TIIS Volume 8, Issue 3

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Cited By

Sun YChen TYin H(2023)Spatial-temporal meta-path guided explainable crime predictionWorld Wide Web10.1007/s11280-023-01137-326:4(2237-2263)Online publication date: 3-Feb-2023
https://doi.org/10.1007/s11280-023-01137-3
Yu YTang XYao HYi XLi Z(2021)Citywide Traffic Volume Inference with Surveillance Camera RecordsIEEE Transactions on Big Data10.1109/TBDATA.2019.29350577:6(900-912)Online publication date: 1-Dec-2021
https://doi.org/10.1109/TBDATA.2019.2935057

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