Development of a smart city planning support tool using the cooperative method

作     者：Takeshi Kobayashi Shinji Ikaruga 

作者机构：Graduate School of Science and Engineering Yamaguchi University Yamaguchi-shi 753-8511 Japan 

出 版 物：《Frontiers of Architectural Research》 (建筑学研究前沿（英文版）)

年 卷 期：2015年第4卷第4期

页      面：277-284页

核心收录：

学科分类：12[管理学] 1204[管理学-公共管理] 08[工学] 081303[工学-城市规划与设计(含：风景园林规划与设计）] 0835[工学-软件工程] 0813[工学-建筑学] 0833[工学-城乡规划学] 083302[工学-城乡规划与设计] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Cooperative method Consensus buitding Smart city Renewabte energy Visual image Project evatuation 

摘      要：A reduction of environmental burdens is currently required. In particular, proposing a new approach for the construction of a smart city using renewable energy is important. The technological development of a smart city is founded building equipment and infrastructure. However, planning methods and their techniques using the collaboration approach with residents are only just developing. This study aimed to develop a support tool for the construction of a smart city using renewable energy while facilitating consensus-building efforts among residents using the method for a cooperative housing development. We organized the supporting methods for the construction of residential area using the cooperative method. Then, we developed supporting toots that interface the computer with these methods. We examined the support techniques for the construction of a residential area using renewable energy technology by analyzing Japanese cases of a smart city. Moreover, we developed a support toot for the construction of a smart city on a trial basis. We integrated the smart city construction toots and the cooperative housing construction support tool. This tool has a 3D modeling system that helps residents to easily understand the space image as a result of the examination. We also developed a professional supporting toot that residents can consider for cost-effectiveness in renewable energy and its environmental toad reduction rate for the planning of a smart city.