Modeling & Simulation-Based Problem Solving Process in Sustainable Living Lab

Changbeom Choi, Seungho Yang, Seon Han Choi and Sooyoung Jang
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Changbeom Choi: Department of Computer Engineering, College of Information Technology, Hanbat National University, Daejeon 34158, Korea
Seungho Yang: Department of Urban Engineering, College of Construction, Environment & Design, Hanbat National University, Daejeon 34158, Korea
Seon Han Choi: Department of IT Convergence and Application Engineering, College of Engineering, Pukyong National University, Busan 48513, Korea
Sooyoung Jang: Electronics and Telecommunications Research Institute, Daejeon 34129, Korea

Sustainability, 2021, vol. 13, issue 7, 1-13

Abstract: Modern society consists of various groups according to their respective interests. The importance of the citizen participation decision-making process in which such various groups get involved in the numerous decision-making of the society has been emerging. The living lab (LL) can be a sustainable approach in such a modern society because all stakeholders can participate in the problem-solving process. In LL, every group communicates, defines their problems, and discusses with experts to find the best solution. For this process to work effectively, the discussions should be based on clear scientific evidence instead of vague words. This study introduces the modeling and simulation (M&S) process to establish a theoretical basis to help the participants in LL identify problematic situations and analyze the solutions. This process involves discrete event system formalism with a set-theoretical modular form among various modeling and simulation theories and the execution environments. Based on them, participants can reuse or extend the existing simulation model to accelerate the problem-solving process of LL. The case study for multi-modal transit station analysis demonstrates the effectiveness of M&S in LL.

Keywords: modeling & simulation; Sustainable Living Lab; decision-making; policy assessments (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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