| 研究生: |
何錦杭 Ho, Chin-Hang |
|---|---|
| 論文名稱: |
一個以CA為基礎之永續城鄉土地劃設支援模式 A CA-based supporting model delimiting the sustainable urban-rural area |
| 指導教授: |
鄒克萬
Tsou, Ko-Wan |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 都市計劃學系 Department of Urban Planning |
| 論文出版年: | 2006 |
| 畢業學年度: | 94 |
| 語文別: | 中文 |
| 論文頁數: | 103 |
| 中文關鍵詞: | SLEUTH模型 、土地適宜性分析 、永續城鄉土地 、細胞自動機 |
| 外文關鍵詞: | land suitability analysis, SLEUTH model, cellular automata, sustainable urban-rural area |
| 相關次數: | 點閱:113 下載:11 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
摘 要
土地空間變遷之模擬,在都市研究的領域中,一直是相當重要且複雜的課題,在都市計畫的領域中,許多研究學者皆試圖以土地使用規劃模式來定義土地發展的規則,進而推斷未來土地的空間結構,因此有關土地變遷模擬的研究方法在近幾年裡日益激增,隨著土地發展的多樣性與複雜化,研究方法從過去「由上而下」轉移至「由下而上」的探討,而細胞自動機理論(Cellular Automata)為近年來快速發展的一種「由下而上」之模式,由於它能夠以最簡單的模式,來探討土地空間複雜系統中「局部-整體」的互動關係。因此在土地使用變遷的相關研究中被廣泛地應用。
在城鄉土地規劃過程中,若能對空間中土地使用的發展變遷狀況能多加掌握,則對於城鄉土地的劃設工作,可提供重要且直接的幫助,本研究便是基於這樣的立場,嘗試在土地使用模擬系統中,結合複雜科學中「細胞自動機」之理論,作為模式架構運算的基礎理論。
本研究以細胞自動機理論為基礎,結合土地適宜性分析方法與SLEUTH模型,架構出一套新的永續城鄉土地劃設支援模式,配合自我發展條件以及鄰近的土地使用狀況,模擬出未來都市發展土地的空間分佈情形,以作為劃設相對適合城鄉土地發展的土地區位,並以台南市為進行實證模擬的研究對象。
Abstract
Simulation of land space changes, in the field of urban studies, it has been a quite important and complicated subject all the time. Lots of researchers attempt to define the rules of land development by model of land use planning, and then infer the space structure of the land in the future. So the research approach about land changes simulation increases sharply day by day in recent years. With variety and complicate of land development, research approach shift from the past “Top-down” to “Bottom-up” discussion. And cellular automata theory is the most fast-developing “Bottom-up” model in recent years. Because it can discuss the “some-whole” relation in complicated system of land space by a simplest model. So it widely applied among relevant research of land use changes.
While planning in the urban-rural area, if we can take more understand on development changes states of land use in the space, can offer important and direct help on the work of delimiting the urban-rural areas. Because of such a position, this research is to try it in the simulation system of land use, combining the theory of “cellular automata” in complicated science as the basic theory of operation of the model structure.
This research is based on cellular automata theory, combining the land suitability analysis method and SLEUTH model, constructing a set of new supporting model delimiting the sustainable urban-rural area. Cooperated with the self-development condition and neighborhood land use state, simulating space distribution situation of future developing land, for it to delimit suitable land location of relative development in urban-rural area, and regard Tainan area as the research object of carrying on real example simulation.
參考文獻
【中文文獻】
1.林士弘(2002),”結合宮格自動機與地理資訊系統在台北盆地土地使用變遷模擬之研究”,台灣大學土木工程學研究所碩士論文。
2.林峰田等(2002),”宮格自動機於土地利用變遷模擬之結合機制”,中華地理資訊學會年會暨學術研討會光碟片:共10 頁。
3.林漢彬(2004),”國土計畫法下城鄉發展區劃設之研究—以台中地區為例”,國立成功大學都市計劃研究所論文。
4.汪禮國(1997),”細胞自動體模式(Cellular Automata)與都市空間演化”,國立中興大學法商學院都市計畫研究所碩士論文。
5.孫志鴻(2000),”土地適宜性分析決策支援系統之先驅研究”,國立台灣大學地理學報,第十五期,頁15-23。
6.施鴻志、周士雄(1996),”都市計畫”,建都文化事業有限公司。
7.孫志鴻(2000),”國土規劃與土地區位之研究—以台北都會區為例”,行政院國家科學委員會專題研究計畫成果報告。
8.高宏軒(1997),”都市複雜空間系演化自我組織臨界性之探索—有限理性典範的應用”,國立台北大學都市計劃研究所碩士論文。
9.張永葵(2006),” 應用SLEUTH 模式於都市擴張模擬適宜性之探討”,2006年全國地理系論文聯合發表會。
10.陳宥任(2000),”都市土地使用與運輸網路動態關係—以細胞自動體(Cellular Automata)為基礎之探索”,國立台北大學都市計畫研究所碩士論文。
11.鄒克萬(1994),”區域土地發展規劃支援技術之研究(一) —地理資訊系統與多準則評估方法之整合應用”,第四屆ESRI暨ERDAS USER CONFERENCE論文集。
12.張學聖、鄒克萬(2001),”案例式規劃支援系統案例尋回機制之研究”,都市與計劃,第28卷第3期,頁253-271。
13.蔡宜鴻(1999),”以GIS 及CA 為基礎的土地使用發展預測模擬方法”,國立成功大學都市計畫研究所碩士論文。
14.賴進貴(2000),”細胞自動化理論與地理資訊系統結合之初探研究”,中國地理學會會刊28:109-126。
15.賴進貴(2002),”學術時髦或創新?”— 細胞自動機本質之探討,2002 中華地理資訊學會年會暨學術研討會光碟片:共11 頁。
【英文文獻】
1.Batty, M., Couclelis, H. and Eichen, M. (1997) Urban systems as cellular automata, Environment and Planning B: Planning and Design, 24(2):159-305.
2.Batty, M. and Xie, Y. (1994) Modelling inside GIS. part 1 :model strutures, exploratory data analysis and aggregation , International Journal of GIS, 8 :291-307.
3.Batty, M. Xie, Y. (2005) Urban growth using cellular automata, GIS, Spatial Analysis and Modeling Eds D Macguire, M Batty, M Goodchild (ESRI Press, Redlands ,CA) in press.
4.Brail R. K. (2005) Planning support systems evolving: when the rubber hits the road, Complex Artificial Environments Ed. J Portugali (Springer, New York) in press.
5.Cecchini, A. (1996) Urban modeling by means of cellular automata: generalism urban automata with the help on-line (AUGH) model, Environment and Planning B, 23, 721-732.
6.Clarke, K. C., Gaydos, L. J. and Hoppen, S. (1997) A self-modifying cellular automation model of historical urbanization in the San Francisco Bay area, Environment and Planning B, 24, 247-261.
7.Couclelis, H. (1988) Of mice and men: what rodent populations can teach us about complex spatial dynamics, Environment and Planning A, 20, 99-109.
8.Couclelis, H. (1991) Requirements for planning-relevant GIS: a spatial perspective, Papers in Regional Science, 70, 9-19.
9.Couclelis, H. (1997) From cellular automata to urban models: new principles for model development and implementation, Environment and Planning B: Planning and Desigh, 24, 165-174
10.Gaunt, C. and Jackson, L. (2003) Models for Assessing the Effects of Community Change on Land Use Patterns.
11.Goldstein, N. C. (2004) Approaches to simulating the “March of Bricks and Mortar”, Computers, Environment and Urban Systems, 28, 125-147.
12.Harris, B. (1965) Urban development models: new tools for planning, Journal of the American Institute of Planners, 31, 90-183.
13.Herold, M. (2003) The spatiotemporal form of urban growth: measurement, analysis and modeling, Remote Sensing of Environment, 86, 286-302.
14.Geertman. S, and Still, J. (2003) Planning Support Systems in Practice (Springer, Heidelberg).
15.Harris, B. and Batty, M. (1993) Locational models, geographical information and planning support systems, Journal of Planning Education and Research, 12, 84-98.
16.Klosterman, R. E. (1999) The What if? collaborative planning support system, Environment and Planning, B: Planning and Design, 26, 393-404.
17.Klosterman, R. E. (1997) Planning support systems: a new perspective on computer-aided planning, Journal of Planning Education and Research, 17, 45-54.
18.Klosterman, R. E. (2001) The What if? planning support system , Integrating Geographical Information Systems, Models and Visualization tools, Eds R Brail, R Klosterman, ESRI Press, Redlands.
19.Kwartler, M. and Bernard, R. N. (2001) CommunityViz: an integrated planning support system, Planning Support Systems: Integrating Geographic Information Systems,Models and Visualization Tools Eds R K Brail, R E Klosterman (ESRI Press, Redlands, CA), 285-308.
20.Landis, J. (1994) The California urban future model: a new generation of metropolitan simulation models, Environment and Planning B: Planning and Design, 21, 399-420.
21.Landis, J. (2001) CUF, CUF II, and CURBA: a family of spatially explicit urban growth and land-use policy simulation models, Planning Support Systems: Integrating Geographic Information Systems, Models and Visualization Tools Eds R K Brail, R E Klosterman, (ESRI Press, Redlands, CA), 157-200.
22.Landis, J. and Zhang, M. (1998a) The second generation of the California urban futures model. part 1: model logic and theory, Environment and Planning B: Planning and Design, 25, 657-666.
23.Landis, J. and Zhang, M. (1998b) The second generation of the California urban futures model. part 2: specification and calibration results of the land-use change, Environment and Planning B: Planning and Design, 25, 795-824.
24.Lautso, K. (2003) The SPARTACUS system for defining and analyzing sustainable land use and transport policies, Planning Support Systems in Practice Eds S Geertman, J Stillwell, (Springer, Heidelberg), 453-463.
25.Li, X. and Yeh, A. G. O. (2000) Modelling sustainable urban development by the integration of constrained cellular automata and GIS, International Journal of Geographical Information, 14(2),131-152.
26.Li, X. and Yeh, A. G. O. (2001) Zoning land for agricultural protection by the integration of remote sensing, GIS, and cellular automata, Photogrammetric Engineering and Remote Sensing, 67, 471-477.
27.O’Sullivan, D. B. (2002) Graph-based Cellular Automaton Models of Urban Spatial Processes, Doctor of Philosophy thesis in Bartlett School of Architecture and Planning, University College London, University of London.
28.Papini, L. and Rabino, G. (1997) Urban cellular automata: an evolutionary prototype, Proceedings of the Second Conference on Cellular Automata for Research and Industry, Milan, 16-18 October 1996, Springer and Verlag.
29.Putman, S. H. and Shih-Liang, C. (2001) The METROPILUS planning support system: urban models and GIS, Planning Support Systems: Integrating Geographic Information Systems, Models and Visualization Tools Eds R K Brail, R E Klosterman (ESRI Press, Redlands, CA), 99-128.
30.Shi, W. and Pang, M. Y. C. (2000) Development of Voronoi-based cellular automata - an integrated dynamic model for geographical information systems, International Journal of Geographical Information Science, 14, 455-474.
31.Silva, E.A. (2002) Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal, Computers, Environment and Urban Systems, 26, 525-552.
32.Tobler, W. (1979) Cellular geography, in: Gale S. and Olsson G. (eds.) Philosophy in Geography, 379-386.
33.Torrens, P. M. and O'Sullivan, D. B. (2001) Editorial:cellular automata and urban simulation: where do we go from here?, Environment and Planning B, 28, 163-168.
34.Waddell, P. (2002) UrbanSim: modeling urban development for land use transportation and environmental planning, Journal of the American Planning Association, 68, 297-314.
35.Waddell, P. and Borning, A. (2004) A case study in digital government developing and applying UrbanSim, a system for simulating urban land use, transportation, and environmental impacts, Social Science Computer Review, 22, 37-51.
36.White, R. and Engelen, G. (1993) Cellular automata and fractal urban form: a cellular modeling approach to the evolution of urban land use patterns, Environment and Planning A, 25.
37.White, R. and Engelen, G. (1997) Cellular automata as the basis of integrated dynamic regional modeling, Environment and Planning B, 24.
38.White, R., Engelen, G. and Uljee, I. (1997) The use of constrained cellular automata for highresolution modeling of urban land use dynamics, Environment and Planning B, 24, 323-343.
39.Wolfram, S. (1984) Cellular automata: a model of complexity, Nature, 31, 419-424
40.Wu, F. (1996) A linguistic cellular automata simulation approach for sustainable land development in a fast growing region, Computers, Environment and Urban Systems, 20, 367-387.
41.Wu, F. (1998a) Simulating urban encroachment on rural land with fuzzy-logic-controlled cellular automata in a geographical information system, Journal of Environmental Management, 53(4), 293-308.
42.Wu, F. (1998b) SimLand: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules, International Journal of Geographical Information Science, 12(1), 63-82.
43.Wu, F. and Webster, C. J. (1998) Simulation of land development through the integration of cellular automata and multicriteria evaluation, Environment and Planning B: Planning and Design, 25, 103-126.
44.Wu, F. (2000) A Parameterised Urban Cellular Model Combining Spontaneous and Self-Organising Growth. Geocomputation: Innovation in GIS 7. P. A. a. D. Martin. London, Taylor & Francis: London, 73-85.
45.Wu, F. and Webster, C. J. (2002) Simulating artificial cities in a GIS environment: urban growth under alternative regulation regimes, International Journal of Geographical Information Science, 14, 7, 625-648.
46.Xian, G. (2005) Dynamic modeling of Tampa Bay urban development using parallel computing, Computers and Geosciences, 31, 920-928.
47.Yeh, G. O. and Li, X. (2000) A constrained CA model for the simulation and planning of sustainable urban forms by using GIS, Environment and Planning B, 24, 733-753.
【網站資料】
1.USGS(2006),USGS, Project Gigalopolis: Urban and Land Cover Modeling, http://www.ncgia.ucsb.edu/projects/gig/project_gig.htm