以SEED CA模型探討台南市五期重劃區之建地成長特性

謝雅婷

doi:10.6844/NCKU.2011.01332

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以SEED CA模型探討台南市五期重劃區之建地成長特性

Using SEED CA model to study the behavior of built-up areas growth of the fifth district of urban consolidation in Tainan City

謝雅婷 , Masters　　Advisor：林峰田　　

繁體中文 DOI： 10.6844/NCKU.2011.01332

市地重劃；空間多準則評估； SEED CA模型； Urban Consolidation ； Multi-Criteria Evaluation ； SEED CA Model

Abstract │ Reference (75) │ Times Cited (1) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

After taking an urban consolidation, lands have some characteristics about large and complete zones, cofigured public facilities and road. There are many factors and rules that cause the development of built-up areas on new urban consolidation lands, and it has some behaviors of built-up areas growth. This study selected the Fifth District Urban Consolidation of Tainan City as case study area to research the pattern and growth behavior of built-up areas from 1986 to 2006. This area was a part of Taijiang Inner Sea. On 1970s it has been delimitted as an urban consolidation area, since then urban development and landscape changes rapidly. 
This study used development potential that based on spatial location to simulate growth of built-up areas. It studied the behavior of built-up areas growth of new urban consolidation land by constructting SEED CA model. In the SEED CA model, seeds are the initial growing seeds of urban development, and they have neighborhood spatial interaction characteristic. SEED CA model can simulate the process of settlement growth or urbanization. 
In this study, first we used Spatial Autocorrelation to analysis distribution pattern of built-up area, and identified hot spots to be original seeds. Then, we calculate the development potential of each cell by Multi-Criteria Evaluation (MCE). The development potential is the main factor to change the cell state in the SEED CA model. Finally, we constructed a SEED CA model to modelling dynamical growth of built-up areas, and we setted different original seeds and neighborhoods to study the behavior of built-up areas growth.
We verified the simulation results by using a variety of validation indicators to evaluate the explanatory power of model. This research proved the validation indicators of SEED CA model is better than the validation indicators of MCE, the simulation result represent that not only spatial location but also the spatial interaction and neighborhood characteristics will affect the growth of built-up areas. In the SEED CA model, setting random seeds will produce similar built-up area pattern. It means that no matter where the first building site is, there are some similar urban patterns through the spatial interaction and time evolution. The characteristic is similar to self-organization of complex system.

Reference ( 75 ) 〈TOP〉

1.Anselin, L. (1995), “Local Indicators of Spatial Association - LISA.”,Geographical Analysis, 27：115
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2.Batty, M.(2005),“Agents, cells, and cities: new representational models for simulating multiscale urban dynamics”, Environment and Planning A , 37：1373 -1394
連結：
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連結：
4.Bello-Pineda, J., Ponce-Hernández, R., Liceaga-Correa, M.A.(2006),“Incorporating GIS and MCE for suitability assessment modelling of coral reef resources”, Environmental Monitoring and Assessment, 114：225–256
連結：
5.Briassoulis, H. (2001), “Policy-oriented integrated analysis of land use change: an analysis of data needs”, Environmental Management, 27 (1) : 1-11.
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Times Cited (1) 〈TOP〉

翁詠芳(2012)。宜蘭縣羅東鎮非都市農地建物成長模擬。成功大學都市計劃學系學位論文。2012。1-91。

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