International Symposium on Location-Based Big Data 2019 (LocBigData 2019)

Updates: The special issue on “Geospatial Big Data Analytics for Smart Cities” in Computers, Environment and Urban Systems has been published on November 2021.

July 15, 2019, Tokyo, Japan, in conjunction with ICC 2019
Co-organized by The ICA Commission on Location-Based Services and The ICA Commission on Geospatial Analysis and Modelling

Symposium Preliminary Program (link) (version: 01.07.2019; subject to change)

Symposium Venue: Room Saturn, National Museum of Emerging Science and Innovation (Miraikan), Tokyo 135-0064, Japan

Deadline for the special issue has been extended to 31 January 2020.

Special Issue on “Geospatial Big Data Analytics for Smart Cities” in Computers, Environment and Urban Systems (link)

Registration: Please click here to register for the symposium (will open a new web page). Registration is free and required, regardless whether you have registered for the main conference ICC 2019 or not. Please note that at least one author of an accepted oral presentation should register for the symposium by May 15, 2019. We also prefer each presenter only gives one presentation. Participation without presentations is also welcome.

Invitation Letters for Visa Purposes: Invitation letters will be provided by the ICC 2019 organizers. If you need one, you will need to register for the conference (at least a one-day pass), and ask for an invitation letter to cover both the main conference and the symposium directly in their registration form.   

Call for papers as a PDF (download)


The increasing use of location-based services, as well as the growing ubiquity of location/activity sensing technologies have led to a huge amount of location-based big data, such as tracking or sensing data (e.g., massive GPS trajectories of people and vehicles, and georeferenced mobile phone data), social media data (e.g., twitter, flickr), and crowdsourced geographic information. The growing availability of such location-based big data have created unprecedented opportunities for researchers from various disciplines. At the same time, it also challenges us with new theoretical, technical, ethical and social questions. This symposium will offer a common ground for researchers from various fields and perspectives to share ideas and research findings, and to discuss the open challenges and future research direction on location-based big data.

This is a pre-conference symposium associated with ICC 2019, and a follow-up of the successful previous conferences of ICLSM 2015 and LSMTD 2017.


We invite contributions in the following areas (but not limited to):

Theories and foundations of location-based big data

  • Novel theoretical models for location-based big data in geographic, temporal, and semantic dimensions
  • Scalability issues with location-based big data
  • Data quality and representativeness of location-based big data
  • Privacy and ethical issues in location-based big data

Acquisition and management of location-based big data

  • Crowdsourcing
  • Internet of things
  • Big data management
  • Data cleaning and integration

Analytics for location-based big data

  • Spatio-temporal analysis of location-based big data
  • Big data analytics and machine learning
  • Geovisualization and visual analytics of location-based big data
  • Computational mobility and activity analysis

Applications of location-based big data

  • Modelling and predicting human spatial behavior and activity
  • Place modelling and understanding
  • Smart cities
  • Transportation
  • Healthcare
  • Location-based big data in the era of autonomous cars and artificial intelligence


You are invited to submit work-in-progress or position papers with a length of 600-1200 words in PDF format at EasyChair. All submissions should be prepared in English, single column, singled-spaced with figures and tables within the text. A submission should contain author affiliations and email addresses, a short abstract (up to 150 words), and keywords, in addition to the main text. The submission should include succinct and sufficient information about research objectives, significance, method, and preliminary or expected findings.

All submissions will be reviewed. If accepted, at least one of the authors must attend the symposium to present the work. 

Post-Conference Publication: special issue in CEUS

Authors of selected submissions will be invited to submit full papers for considerations for publications in the Special Issue on “Geospatial Big Data Analytics for Smart Cities” of Computers, Environment and Urban Systems (CEUS). Final decisions on full paper submissions will be made following the standard CEUS double-blind peer review process.

Submissions must conform to CEUS submission guidelines and should be submitted through the journal’s EVISE system. Please select “VSI: LocBigData” in the submission system to indicate that you are submitting for this special issue.

The submission deadline is November 15, 2019. Early submissions will be reviewed immediately after submission. Accepted manuscripts will go online (incl. a DOI) within few weeks after acceptance.


  • Short papers Due (extended): February 15, 2019 March 15, 2019 
  • Acceptance notification: March 30, 2019
  • Author registration deadline: May 15, 2019
  • Symposium: July 15, 2019
  • Full paper submission for the special issue: October 15, 2019


Haosheng Huang, University of Zurich, Switzerland,
Xiaobai Angela Yao, University of Georgia, USA,
Jukka Krisp, Augsburg University, Germany,
Bin Jiang, University of Gävle, Sweden,


More to come…
Tinghua Ai, Wuhan University, China
Martin Behnisch, IOER, Germany
Itzhak Benenson, Tel Aviv University, Israel
Dirk Burghardt, TU Dresden, Germany
Christophe Claramunt, Naval Academy Research Institute, France
Weihua Dong, Beijing Normal University, China
Tao Feng, Eindhoven University of Technology, The Netherlands
Cheng Fu, University of Zurich, Switzerland
Song Gao, University of Wisconsin-Madison, USA
Georg Gartner, TU Wien, Austria
Bo Huang, The Chinese University of Hong Kong, China
Ryong Lee, Korea Institute of Science and Technology Information, South Korea
Chun Liu, Tongji University, China
Yu Liu, Peking University, China
Ying Long, Tsinghua University, China
Lan Mu, University of Georgia, USA
Tomoki Nakaya, Tohoku University, Japan
Toshihiro Osaragi, Tokyo Institute of Technology, Japan
Ross Purves, University of Zurich, Switzerland
Yukio Sadahiro, The University of Tokyo, Japan
Shih-Lung Shaw, University of Tennessee, USA
Jie Shen, Nanjing Normal University, China
Zhenjiang Shen, Kanazawa university, Japan
Daniel Sui, The Ohio State University, USA
Kazutoshi Sumiya, Kwansei Gakuin University, Japan
Ming-Hsiang Tsou, San Diego State University, USA
Robert Weibel, University of Zurich, Switzerland
Stephan Winter, The University of Melbourne, Australia
Xinyue Ye, New Jersey Institute of Technology, USA
Alexander Zipf, University of Heidelberg, Germany