Reporting on the Performance and Usability of Planning Support Systems—Towards a Common Understanding

被引:0
作者
Haozhi Pan
Brian Deal
机构
[1] University of Illinois at Urbana-Champaign,Regional Economics Applications Laboratory
[2] University of Illinois at Urbana-Champaign,Department of Landscape Architecture
来源
Applied Spatial Analysis and Policy | 2020年 / 13卷
关键词
Planning support systems; Model performance; Usefulness; Scenario planning; Spatial analytics; Land-use;
D O I
暂无
中图分类号
学科分类号
摘要
To assess the implementation of Planning Support Systems (PSSs) and scenario planning strategies, a common understanding of model goals, performance, and usability are among several issues that need to be addressed. Without a common understanding, resulting policies that are drawn from model outcomes could be compromised. Reporting methods of PSS results should be objective, reasonable, understandable, and useful. We describe a process including several methods of reporting PSS results that allows for minor variation and understandably communicating the results to PSS users. This approach includes finding meaningful resolution and probability matching of PSS model results. We show that our approach is a theoretically reasonable and objective method for reporting PSS results in planning practice. We test our approach using the LEAM PSS in an application in northern Illinois. In this case, our model results inform planners using an easily comprehensible spatial resolution over which the simulation provides useful information for future land-use scenarios. We also apply our reporting methods to compare a preferred scenario to a business-as-usual scenario. The result prompts local planners and stakeholders to rethink their plan implementation strategy for preferred scenario implementation. We conclude that next steps for PSS model development will require both technical and practical focuses in the model reporting and implementation arena.
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页码:137 / 159
页数:22
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  • [1] Al-Ahmadi K(2009)Calibration of a fuzzy cellular automata model of urban dynamics in Saudi Arabia Ecological Complexity 6 80-101
  • [2] See L(2008)Fuzzy inference guided cellular automata urban-growth modelling using multi- temporal satellite images International Journal of Geographical Information Science 22 1271-1293
  • [3] Heppenstall A(2005)GIS and remote sensing as tools for the simulation of urban land-use change International Journal of Geographical Information Science 26 759-774
  • [4] Hogg J(2011)Planning support systems in a multi-dualistic spatial planning context Journal of Urban Technology 18 5-37
  • [5] Al-kheder S(2005)Exploring a spatio-dynamic neighbourhood-based model of residential behaviour in the Brussels periurban area International Journal of Geographical Information Science 19 103-123
  • [6] Wang S(2011)Robust plans and contingent plans Journal of the American Planning Association 77 251-266
  • [7] Shan J(2018)Tables, Tablets and Flexibility: Evaluating Planning Support System Performance under Different Conditions of Use Applied Spatial Analysis and Policy 12 467-491
  • [8] Almeida CM(2014)Temporal accuracy in urban growth forecasting: a study using the SLEUTH model Transactions in GIS 18 302-320
  • [9] Monteiro AMV(1998)Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore International Journal of Geographical Information Science 12 699-714
  • [10] Camara G(1989)Model goodness of fit: a multiple resolution procedure Ecological Modelling 47 199-215