네트워크 분석방식 선택에 따른 복잡계 모형과 공간구문론의 상호검증 = Mutual Verification of an Analytic Model of a Complex System and Space Syntax Using Network Analyses

다국어 초록 (Multilingual Abstract)

A social phenomenon that occurs in a physical space is said to be a complex system. However, space syntax, which is commonly employed by researchers to identify such social phenomena, has various limitations in interpreting their complexity. On the other hand, agent-based modeling considers a variety of factors including the personality of the agent, objective-oriented work flows, estimation according to time flows and better prediction of space use through diverse parameters depending the situation, as well as the characteristics of the space. The agent-based method thus has the potentials to be developed as an alternative to space syntax techniques. In particular, discrete event driven simulation(DEVS), which is part of the agent-based modeling method, embraces the concept of networks just like space syntax, which allows a possible theoretical linkage in the future. This study suggests a procedural model of agent-based DEVS reflecting two different connection methods, i.e. connections between adjacent areas and those of the entire space, and attempts to identify the relationship between the local and regional indices of space syntax. A number of spaces were selected as examples—one for a preliminary experiment and eight modified for the main experiment—and space syntax and DEVS were applied to each of them. The comparative analysis of the results led to the conclusions as follows: 1) Adjacent connections were closely related to local indices, while the whole-space approach to regional indices. Local integration shows both characteristics. 2) Observation of the time flow model indicated a faster convergence with the range of 1 to 3-fold of the total time of one lap, with the error of less than 10%. 3) The heat map analysis showed more obvious characteristics of using the space for the entire space rather than adjacent connections. 4) Space syntax shows higher eligibility than ABM.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 공간구문론과 행위자기반모형
• 3. 예비공간 시뮬레이션 및 시간유동분석
• 4. 변형모델의 적용과 이론간 비교
• 5. 결론
• 참고문헌

참고문헌 (Reference)

1 오성진, "행위자기반모형을 적용한 공간구조분석 기초연구" 대한건축학회지회연합회 16 (16): 75-83, 2014

2 윤소희, "이산사건 시뮬레이션을 이용한 공간구조론의 검증 및 평가" 한국멀티미디어학회 19 (19): 2000-2013, 2016

3 조성권, "복잡계 이론을 적용한 도시계획 및 설계 프로젝트의 특징에 관한 연구 - yo2 그룹의 도시계획 프로젝트를 중심으로" 한국도시설계학회 14 (14): 5-16, 2013

4 최재필, "공간분석 통합 소프트웨어 개발 연구" 대한건축학회 21 (21): 155-162, 2005

5 B,Hillier, "Space syntax" 3 (3): 1976

6 Hans J. (Jochen) Scholl, "Agent-based and System Dynamics Modeling : A Call for Cross Study and Joint Research" 2001