The visible and invisible network of a self-organizing town: Agent-based simulation for investigating urban development process

Jisun Lee; Hyunsoo Lee

The visible and invisible network of a self-organizing town: Agent-based simulation for investigating urban development process

Jisun Lee, Hyunsoo Lee

Department of Interior Architecture and Built Environment

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This study applies self-organization as a methodology to understand the complex process of city networks caused by interactions between spatial structures and individual behaviors. The agent-based simulations have been conducted to investigate the visible and invisible networks understanding the self-organized aspects of city development processes. To develop optimal future networks providing connectivity and accessibility this study investigates spatial network configurations from internal individual behavior and movement. As results, it was found that the spatial configurations of the agent movement trails match to the current district boundaries and the similar network patterns were seen in various control values of agent behavior settings. This study contributes to searching out the hierarchy of network structures which is an important factor for re-planning of the way system.

Original language	English
Title of host publication	CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia
Subtitle of host publication	Learning, Prototyping and Adapting
Editors	Suleiman Alhadidi, Tomohiro Fukuda, Weixin Huang, Patrick Janssen, Kristof Crolla
Publisher	The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
Pages	411-420
Number of pages	10
ISBN (Electronic)	9789887891703
Publication status	Published - 2018
Event	23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018 - Beijing, China Duration: 2018 May 17 → 2018 May 19

Publication series

Name	CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting
Volume	2

Other

Other	23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018
Country/Territory	China
City	Beijing
Period	18/5/17 → 18/5/19

Bibliographical note

Funding Information:
This work was supported by the BK 21 Plus funded by the Ministry of Education of Korea.

Publisher Copyright:
© 2018 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) in Hong Kong.

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Building and Construction

Cite this

Lee, J., & Lee, H. (2018). The visible and invisible network of a self-organizing town: Agent-based simulation for investigating urban development process. In S. Alhadidi, T. Fukuda, W. Huang, P. Janssen, & K. Crolla (Eds.), CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting (pp. 411-420). (CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting; Vol. 2). The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).

Lee, Jisun ; Lee, Hyunsoo. / The visible and invisible network of a self-organizing town : Agent-based simulation for investigating urban development process. CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting. editor / Suleiman Alhadidi ; Tomohiro Fukuda ; Weixin Huang ; Patrick Janssen ; Kristof Crolla. The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 2018. pp. 411-420 (CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting).

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title = "The visible and invisible network of a self-organizing town: Agent-based simulation for investigating urban development process",

abstract = "This study applies self-organization as a methodology to understand the complex process of city networks caused by interactions between spatial structures and individual behaviors. The agent-based simulations have been conducted to investigate the visible and invisible networks understanding the self-organized aspects of city development processes. To develop optimal future networks providing connectivity and accessibility this study investigates spatial network configurations from internal individual behavior and movement. As results, it was found that the spatial configurations of the agent movement trails match to the current district boundaries and the similar network patterns were seen in various control values of agent behavior settings. This study contributes to searching out the hierarchy of network structures which is an important factor for re-planning of the way system.",

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note = "Funding Information: This work was supported by the BK 21 Plus funded by the Ministry of Education of Korea. Publisher Copyright: {\textcopyright} 2018 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) in Hong Kong.; 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018 ; Conference date: 17-05-2018 Through 19-05-2018",

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Lee, J & Lee, H 2018, The visible and invisible network of a self-organizing town: Agent-based simulation for investigating urban development process. in S Alhadidi, T Fukuda, W Huang, P Janssen & K Crolla (eds), CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting. CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, vol. 2, The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), pp. 411-420, 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018, Beijing, China, 18/5/17.

The visible and invisible network of a self-organizing town : Agent-based simulation for investigating urban development process. / Lee, Jisun; Lee, Hyunsoo.

CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting. ed. / Suleiman Alhadidi; Tomohiro Fukuda; Weixin Huang; Patrick Janssen; Kristof Crolla. The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 2018. p. 411-420 (CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - The visible and invisible network of a self-organizing town

T2 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018

AU - Lee, Jisun

AU - Lee, Hyunsoo

N1 - Funding Information: This work was supported by the BK 21 Plus funded by the Ministry of Education of Korea. Publisher Copyright: © 2018 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) in Hong Kong.

PY - 2018

Y1 - 2018

N2 - This study applies self-organization as a methodology to understand the complex process of city networks caused by interactions between spatial structures and individual behaviors. The agent-based simulations have been conducted to investigate the visible and invisible networks understanding the self-organized aspects of city development processes. To develop optimal future networks providing connectivity and accessibility this study investigates spatial network configurations from internal individual behavior and movement. As results, it was found that the spatial configurations of the agent movement trails match to the current district boundaries and the similar network patterns were seen in various control values of agent behavior settings. This study contributes to searching out the hierarchy of network structures which is an important factor for re-planning of the way system.

AB - This study applies self-organization as a methodology to understand the complex process of city networks caused by interactions between spatial structures and individual behaviors. The agent-based simulations have been conducted to investigate the visible and invisible networks understanding the self-organized aspects of city development processes. To develop optimal future networks providing connectivity and accessibility this study investigates spatial network configurations from internal individual behavior and movement. As results, it was found that the spatial configurations of the agent movement trails match to the current district boundaries and the similar network patterns were seen in various control values of agent behavior settings. This study contributes to searching out the hierarchy of network structures which is an important factor for re-planning of the way system.

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A2 - Alhadidi, Suleiman

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ER -

Lee J, Lee H. The visible and invisible network of a self-organizing town: Agent-based simulation for investigating urban development process. In Alhadidi S, Fukuda T, Huang W, Janssen P, Crolla K, editors, CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting. The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA). 2018. p. 411-420. (CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting).

The visible and invisible network of a self-organizing town: Agent-based simulation for investigating urban development process

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

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