A Study on Network Game Simulation of Urban Large Pak Re-development and Preference Characteristics of Park Planner

最古老的国家政府公园建于大约30年前。随着公园设施的老化和社会需求的变化，这样的城市大型公园失去了功能。因此，我们必须对这类老公园的更新设计进行规划，并进行改造。但我们没有公园再开发设计的方法。我们不可能在短期内制定很多更新计划。因此，很难选择一个在成本、功能和景观之间取得良好平衡的最佳或适当的方案。本研究项目旨在开发互动操作的网络游戏，作为公园改建规划决策支持系统的工具。作为案例研究，我们选择了冲绳政府园区(海洋博览会纪念区)，并收集了公园的设施、成本和景观的真实数据。我们设计了一个网络模拟游戏，并成功开发了一个原型系统。该游戏系统由三个部分组成。第一个组件是布局引擎(在计算机屏幕上布置公园设施和修改地貌)，第二个组件是参数引擎(设施规格和成本数据库)，第三个组件是可视化引擎(3D-CG景观可视化)。这些引擎是相互独立的，所以我们可以根据另一个园区的数据来更换每个引擎。各个公园规划师是相互独立的，因此我们可以根据其他公园的二次开发轻松地更换各个引擎，通过反复试错将公园设施剪切粘贴到计算机屏幕上。日志数据通过游戏的每个动作存储在服务器中，从而掌握每个玩家的偏好特征与公园功能的有效性、成本和景观、合理性之间的关系。但是，对这些日志的精确调查还没有进行，所以它是未来研究的主题。

The oldest National Government Park has constructed about 30 years ago. Such urban large park loses their function by ageing of park facilities and change of social needs. So we must plan the renewal design of such old parks and execute their reconstruction. But we don't have a method of park redevelopment designing. We can't make many plan of renewal in short period. So, it is difficult to choose the best or proper plan that has a good balance of cost, function and landscape. This research project aims to develop the network game of interactive operation as a tool of the planning decision support system of park redevelopment. For a case study, we chose The OKINAWA Government Park (Ocean Exposition Commemorative Area) and gathered real park data of facilities, costs and landscape. We designed a network simulation game and succeeded to develop a prototype system. This game system is composed by three components. First component is the arrangement engine (Arranging park facilities and modify landform in the computer screen), the second is the parameters engine (Database of facilities specifications and costs), and the third is the visualization engine (Landscape visualization by 3D-CG). Those engines are independent each other, so we can replace each engine according to the other park's data. The park planner are independent each other, so we can replace each engine according to the other park redevelopment easily to cut and paste the park facilities in computer screen by repetition of try and error. Log data are stored in server by every action of playing game, so we can grasp the relationships between preference characteristics of each player and effectiveness of park function, cost and landscape, rationality. But, the precise investigation of those logs is not executed yet, so it is the subject of future research.