scholarly journals Geographical visualization: A participatory planning support tool for imagining landscape futures

Applied GIS ◽  
2006 ◽  
Vol 2 (3) ◽  
pp. 22.1-22.17 ◽  
Author(s):  
Christopher J Pettit ◽  
William Cartwright ◽  
Michael Berry
Keyword(s):  
Participatory Planning ◽  
Support Tool ◽  
Planning Support

scholarly journals Development of a Land Use Planning Support Tool in the Developing Countries

2006 ◽  
Vol 14 (2) ◽  
pp. 157-168 ◽  
Author(s):  
Hiroki NAGASAKI ◽  
Kojiro WATANABE ◽  
Akira OHGAI ◽  
Prasanna DIVIGALPITIYA ◽  
Akio KONDO
Keyword(s):  
Land Use ◽  
Developing Countries ◽  
Land Use Planning ◽  
Support Tool ◽  
Planning Support

scholarly journals A co-design prototyping approach for building a Precinct Planning Tool

2014 ◽  
Vol II-2 ◽  
pp. 47-53 ◽  
Author(s):  
C.J. Pettit ◽  
S. Glackin ◽  
R. Trubka ◽  
T. Ngo ◽  
O. Lade ◽  
...  
Keyword(s):  
Urban Design ◽  
Urban Growth ◽  
Best Practice ◽  
Decision Makers ◽  
Planning Tool ◽  
Support Tool ◽  
Planning Support ◽  
The World ◽  
Two Cities ◽  
Evidenced Based

As the world is becoming increasingly urbanized there is a need for more sustainability-oriented planning of our cities. Policy and decision-makers are interested in the use of evidenced based approaches and tools that will support collaborative planning. There are a number of tools in the domain of spatial planning and decision support systems that have been built over the last few decades but the uptake and use of these tools is somewhat limited. <br><br> In the context of Australia there is significant urban growth occurring across the major cities and a need to provision planners and developers with precinct planning tools to assist in managing infill and the densification of the existing urban fabric in a carbon constrained economy. In this paper we describe the development of a new precinct planning tool known as the Envision Scenario Planner (ESP), which is being applied initially in two cities, Melbourne and Perth to assist in the urban design and planning of Greyfield sites. <br><br> To set the scene in this paper we firstly provide a brief review of the existing state of play of visualization and modelling tools available to urban planners in Australia. The focus on the paper will be to introduce an iterative co-design prototyping approach for developing a best practice precinct planning support tool (ESP) from an earlier tool known as ENVISION. The first step of the approach is an exposure workshop with experts to refine the proposed tool workflow and its functionality. Subsequent iterations of the prototype are then exposed to larger audiences for validation and testing. In this paper we will describe the process and the preliminary findings in implementing the first phase of this iterative co-design prototype approach.

scholarly journals A Planning Support Tool for Layout Integral Optimization of Urban Blue–Green Infrastructure

2020 ◽  
Vol 12 (4) ◽  
pp. 1613 ◽  
Author(s):  
Conghui Zhou ◽  
Yun Wu
Keyword(s):  
Green Infrastructure ◽  
Layout Optimization ◽  
Integrated System ◽  
Land Supply ◽  
Support Tool ◽  
Service Demand ◽  
Planning Support ◽  
Service Patterns ◽  
Spatial Layouts

Urban blue infrastructure (UBI) and urban green infrastructure (UGI) can be seen as an integrated system in which services and spatial layouts complement each other. However, given its complexity, it is difficult to integrate and optimize the layout of urban blue and green infrastructure (UBGI) in the built environment. This study develops a planning support tool for the layout integral optimization (PSTLIO) of UBGI. Using Hekou City in China as a case study, service demands and the supply of suitable land for UBGI development are assessed and mapped on geographic information system (GIS). The potential areas for UBGI development are delineated after mapping assessments of service demand and land supply and suitability. Following discussions on the exact means for PSTLIO to support the layout optimization of UBGI, a PSTLIO-based solution is developed to structure the UBGI link network and hub system, define the functions and service patterns of single UBGI components, and provide guidance for determining the scale of UBGI components. The results show that PSTLIO is able to provide a quantifiable base for decision-making in UBGI layout optimization.

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