Development of Spatial Decision Support Systems to Support Long-term, Integrated Planning

被引:0
|
作者
Rutledge, Daniel [1 ]
McDonald, Garry [2 ,3 ]
Cameron, Michael [4 ,5 ]
McBride, Graham
Poot, Jacques [4 ,5 ]
Scrimgeour, Frank [6 ]
Price, Robbie [1 ]
Phyn, Derek [7 ]
van Delden, Hedwig [8 ]
Huser, Beat [7 ]
Small, Bruce [9 ]
Wedderburn, Liz [9 ]
Fenton, Tony [10 ]
机构
[1] Manaaki Whenua Landcare Res NZ Ltd, Hamilton, New Zealand
[2] New Zealand Ctr Ecol Econ, Palmerston North, New Zealand
[3] Market Econ Ltd, Takapuna, New Zealand
[4] Univ Waikato, Ctr Populat Studies, Hamilton, New Zealand
[5] Natl Inst Water & Atmospher Res, Hamilton, New Zealand
[6] Univ Waikato, Sch Management, Hamilton, New Zealand
[7] Environm Waikato, Hamilton, New Zealand
[8] Res Inst Knowledge Syst, Maastricht, Netherlands
[9] AgResearch, Hamilton, New Zealand
[10] Alchemists Ltd, Hamilton, New Zealand
关键词
decision support system; integrated planning; long-term council community plan; resource management; systems modelling;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Spatial decisions support systems (SDSS) are integrated frameworks designed to help explore weakly-structured or unstructured problems characterised by many actors, many possibilities, and high uncertainty. In principle an SDSS represents an ideal tool to support long-term integrated planning for sustainable development In practice SDSS development requires addressing organisational, scientific, and technological challenges within typical project management constraints, i.e. limited time, limited resources, and to desired specifications. We discuss these challenges in the context of developing an SDSS for the Choosing Regional Futures project in New Zealand. The project aims to develop new methods and tools to support integrated, long-term planning by 1) developing processes to evaluate, deliberate, and choose futures through scenario analysis and multi-criteria evaluation frameworks and 2) developing an SDSS to support those deliberation processes. Together these tools will help councils evaluate links and trade-offs between economic, environmental and social/cultural outcomes and the cumulative effects of many decisions over space and time and help them achieve long-term outcomes desired by their community. Organisationally the project is a deliberate attempt on behalf of a key end user (a regional council) and several research organisations to actively co-develop an SDSS to support new council planning processes. Project development required the formation of new organisational networks that did not exist before. Scientifically the SDSS will consist of a spatially-explicit dynamic systems model incorporating different economic, environmental, and social aspects. Technically it will be based on a common software framework to facilitate use and uptake by the key end-user and possible transfer to other organisations in the future. Three key information sources have informed initial SDSS design: regional community outcomes and associated indicators, qualitative scenarios, and community outcomes from 4 other regions. The draft SDSS is a multi-scale, spatially explicit operating at four scales: New Zealand & Global (climate change, external drivers), regional (hydrology, water quality, economy-environment), district (zoning, demographics, dairying), and local (land use, biodiversity, spatial Indicators). Initial assessments indicate that the draft SDSS will best address economic and environmental themes and outcomes, some aspects of quality of life but will not address most outcomes related to participation and equity or culture and identify. Initial observations include 1) successful development requires active and on-going organisational commitment, 2) tension exists between design flexibility and prioritisation, 3) a spatially-explicit systems model approach can adequately unite different models, and 4) technical integration offers adaptive potential but generates additional overheads and requires willingness of researchers to relinquish some control.
引用
收藏
页码:308 / 314
页数:7
相关论文
共 50 条
  • [21] Intermodal travel planning and decision support integrated with transportation and energy systems
    Weng, Yuejuan
    Zhang, Jingzhu
    Yang, Chunling
    Ramzan, Muhammad
    HELIYON, 2024, 10 (11)
  • [22] An optimization-based decision support system for students' personalized long-term course planning
    Shakhsi-Niaei, Majid
    Abuei-Mehrizi, Hossein
    COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, 2020, 28 (05) : 1247 - 1264
  • [23] Using genetic algorithms and simulation as decision support in marketing strategies and long-term production planning
    Stoica, Florin
    Cacovean, Laura Florentina
    PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON SIMULATION, MODELLING AND OPTIMIZATION, 2009, : 435 - +
  • [24] Development and validation of a novel informational booklet for pediatric long-term ventilation decision support
    Edwards, Jeffrey D.
    Panitch, Howard B.
    George, Maureen
    Cirrilla, Anne-Marie
    Grunstein, Eli
    Wolfe, Joanne
    Nelson, Judith E.
    Miller, Rachel L.
    PEDIATRIC PULMONOLOGY, 2021, 56 (05) : 1198 - 1204
  • [25] Decision Support Systems in Transport Planning
    Ocalir-Akunal, Ebru Vesile
    WORLD MULTIDISCIPLINARY CIVIL ENGINEERING-ARCHITECTURE-URBAN PLANNING SYMPOSIUM 2016, WMCAUS 2016, 2016, 161 : 1119 - 1126
  • [26] PLANNING FOR STRATEGIC DECISION SUPPORT SYSTEMS
    KING, WR
    LONG RANGE PLANNING, 1983, 16 (05) : 73 - 78
  • [27] LONG-TERM DEVELOPMENT PLANNING OF DISTRIBUTION SYSTEMS
    OKADA, T
    UENOSONO, C
    ELECTRICAL ENGINEERING IN JAPAN, 1970, 90 (06) : 273 - +
  • [28] Development of an integrated artificial heart-lung device for long-term cardiopulmonary support
    Tatsumi, E
    Takewa, Y
    Akagi, H
    Taenaka, Y
    Eya, K
    Nakatani, T
    Baba, Y
    Masuzawa, T
    Wakisaka, Y
    Toda, K
    Miyazaki, K
    Nishimura, T
    Ohno, T
    Takano, H
    ASAIO JOURNAL, 1996, 42 (05) : M827 - M832
  • [29] SCENARIOS AND METHODS TO SUPPORT LONG-TERM HEALTH-PLANNING
    LAST, JM
    CANADIAN JOURNAL OF PUBLIC HEALTH-REVUE CANADIENNE DE SANTE PUBLIQUE, 1987, 78 (01): : 11 - 12
  • [30] Management decision support using long-term market simulation
    Clemens Czernohous
    Wolf Fichtner
    Daniel J. Veit
    Christof Weinhardt
    Information Systems and e-Business Management, 2003, 1 (4) : 405 - 423