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CityScope Andorra: A Multi-level Interactive and Tangible Agent-based Visualization

Published: 09 July 2018 Publication History

Abstract

This study proposes a novel information visualization approach developed and deployed in the state of Andorra. We present a framework to analyze and represent the flow of people through a multi-level interactive and tangible agent-based visualization. The presented framework, developed to understand Andorra visitor behavior, is embedded in the MIT CityScope framework used for civic engagement, urban development, and decision making.

References

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Juli�n Candia, Marta C Gonz�lez, Pu Wang, Timothy Schoenharl, Greg Madey, and Albert-L�szl� Barab�si. 2008. Uncovering individual and collective human dynamics from mobile phone records. Journal of physics A: mathematical and theoretical, Vol. 41, 22 (2008), 224015.
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Andrew Crooks, Christian Castle, and Michael Batty. 2008. Key challenges in agent-based modelling for geo-spatial simulation. Computers, Environment and Urban Systems Vol. 32, 6 (2008), 417--430.
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Arnaud Grignard. 2015. Mod�les de visualisation � base d'agents. Ph.D. Dissertation. Paris 6.
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Arnaud Grignard, Patrick Taillandier, Benoit Gaudou, Duc An Vo, Nghi Quang Huynh, and Alexis Drogoul. 2013. GAMA 1.6: Advancing the art of complex agent-based modeling and simulation International Conference on Principles and Practice of Multi-Agent Systems. Springer, 117--131.
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Mohammad Hadhrawi and Kent Larson. 2016. Illuminating LEGOs with Digital Information to Create Urban Data Observatory and Intervention Simulator. In Proceedings of the 2016 ACM Conference Companion Publication on Designing Interactive Systems. ACM, 105--108.
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Ariel Noyman, Tobias Holtz, Johannes Kr�ger, J�rg Rainer Noennig, and Kent Larson. 2017. Finding Places: HCI Platform for Public Participation in Refugees Accommodation Process. Procedia Computer Science Vol. 112 (2017), 2463--2472.
[7]
Casey Reas and Ben Fry. 2007. Processing: a programming handbook for visual designers and artists. Number 6812. Mit Press.
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Yan Zhang. 2017. CityMatrix - An Urban Decision Support System Augmented by Artificial Intelligence. Master's thesis. Massachusetts Institute of Technology.

Cited By

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  • (2019)Building, composing and experimenting complex spatial models with the GAMA platformGeoinformatica10.1007/s10707-018-00339-623:2(299-322)Online publication date: 1-Apr-2019

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Published In

cover image ACM Conferences
AAMAS '18: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems
July 2018
2312 pages

Sponsors

In-Cooperation

Publisher

International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 09 July 2018

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Author Tags

  1. agent-based modelling
  2. civic engagement
  3. infoviz
  4. tangible user interface

Qualifiers

  • Research-article

Funding Sources

  • MIT Media Lab - Changing Places

Conference

AAMAS '18
Sponsor:
AAMAS '18: Autonomous Agents and MultiAgent Systems
July 10 - 15, 2018
Stockholm, Sweden

Acceptance Rates

AAMAS '18 Paper Acceptance Rate 149 of 607 submissions, 25%;
Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

View all
  • (2019)Building, composing and experimenting complex spatial models with the GAMA platformGeoinformatica10.1007/s10707-018-00339-623:2(299-322)Online publication date: 1-Apr-2019

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