Integrating an urban green space typology into procedural 3D visualization for collaborative planning

作     者：Neuenschwander, N. Hayek, U. Wissen Gret-Regamey, A. 

作者机构：Swiss Fed Inst Technol Zurich Switzerland 

出 版 物：《COMPUTERS ENVIRONMENT AND URBAN SYSTEMS》 (计算机、环境与城市系统)

年 卷 期：2014年第48卷

页      面：99-110页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0705[理学-地理学] 0833[工学-城乡规划学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung  SNF 

主　　题：Ecosystem services Urban planning Procedural modeling 3D visualization Urban green space typology Generic pattern design 

摘      要：Urban green spaces offer multiple ecosystem services (ES), which provide a variety of benefits to human well-being. Yet in urban planning they are not taken into account systematically. Recently new tools have been developed integrating ES into procedural modeling and visualization to raise stakeholder awareness for the explicit ES trade-offs that have to be made. These tools yet do not allow fast and comprehensive integration of ES provision in urban environments. In this paper we show how urban green space typologies can be linked to ES provision for facilitating collaboration between stakeholders of different backgrounds. Based on a generic typology green spaces were mapped and linked with information on potentially provided ES and their parameters. Further, pattern designs of the green space types were described with a form-based code. Both the map of green space types and the pattern designs were integrated into the parametric modeling and visualization chain of Esri CityEngine resulting in 3D visualizations of the green space patterns and correlating ES indicators. The green space typology allows for integrating different kinds of knowledge from both science and practice communities. The procedural model enables rapid interactive visualization of urban patterns and calculation of simple indicator values on the provision of ES. The simple approach for mapping green space types with low data requirements and the generic green space design patterns allow for transferability to other places and application to large areas. The developed approach is simple and fast yet comprehensive to communicate the vital importance of all green space types within the urban environment. (C) 2014 Elsevier Ltd. All rights reserved.