99 (Title Page)
A analytical research paper ------
Topic : The application of artificial intelligence methods in sustainable rural planning Speaker : Ya-Han Hsieh
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Key words : Sustainable rural planning, Rural Regeneration Act, Geographic Information System (GIS), Artificial Neural Network (ANN), Cellular Automata (CA)
99 (Table of Contents)
Table of Contents :
Paper structure Article structure
Abstract Introduction Body Body1 Body2
Conclusions Reference
Experiment process
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Paper structure :
GIS
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ANN CA
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Article structure :
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Interduction Body -----Conclusion
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99 (Abstract)
Abstract: Sustainable rural planning is an important issue of Taiwanese government in recent years. As literatures pointed out that Lun is one kind of landscapes on coastal plains in western Taiwan, and the rural villages’ development nearby coastal regions were affected by Luns’ distribution. The experiment in this research targets Hsiao-Jen community, Taiwan.The goal of this research is to establish the simulation model, which is combined with techniques of GIS (Geographic Information System) and ANN (Artificial Neural Network), and to analyze the following two objectives; First, determining whether the rural villages’ development on coastal plains in western Taiwan is related to Luns; Second, establishing the probability simulation model to assess where are the appropriate regions to future rural developing for the notion of environmental sustainability. Article structure :
(Range and target of this experiment ) + (main methods and goal in this research )
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99 (Introduction)
Introduction : The environmental sustainability in town and country planning is a global issue. Taiwanese government had enacted the “Rural Regeneration Act” for sustainable development of Taiwanese rural regions. This Act claims that the sustainable development of rural regions should be emphasized synchronously in three directions, which are rural production, rural livelihood and rural ecology (Council of Agriculture, Executive Yuan, 2010). Many important rural villages are distributed on the western side of Taiwan. Because Taiwan is an island-country, coastal village is one of the typical types of Taiwanese rural villages. Some literature pointed out that Lun is one kind of landscapes on coastal plains in western Taiwan (Liu, 1975; Chen, 1994). Lun is a kind of highland which is formed by natural ancient waterway and wind power over time. The features of Lun are that it can provide habitat for many species, and it can also be protective barriers against both winter monsoon and powerful sea wind. Thus many literatures describe that the rural villages’ development nearby coastal regions in western Taiwan were affected by Luns’ distribution (Fan, 2009). Article structure : (Time background and research motive) + (Basic introduction of Lun)
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99 (Body)
Body1 : The goal of this research is to establish the simulation model, which is combined with techniques of GIS (Geographic Information System) and ANN (Artificial Neural Network), and to analyze the following two objectives; First, determining whether the rural villages’ development on coastal plains in western Taiwan is related to Luns; Second, establishing the probability simulation model to assess where are the appropriate regions to future rural developing for the notion of environmental sustainability.The experiment in this research targets Hsiao-Jen community, Mailiao Township, Yunlin County, Taiwan, because there are many Luns in different sizes in this area. The local residents view Luns as the holy sign and they are not allowed to destroy Luns. The main methods in this research are GIS and ANN. GIS is a technique of data bases which is generally applied in some disciplines of environment researches. The characteristic of GIS is that it can combine graphic data and numeric data, which then provide direct visual results while practicing either data analyzing or result demonstrating in experiment (Tomlinson, Roger F. 2007). Article structure : (Goal target and main methods of this experiment in this research )
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99 (Body)
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GIS ANN GIS (Tomlinson, Roger F 2007)
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GIS
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Body2 : 1) This research applies GIS to register both literature records and site investigation data, so that it can directly reflect geographic regions in experiment processes (Dragicevic S., 2001; Lin, 2007). 2) ANN was also utilized in this research to analyze the environmental variables and establish regressive model to simulate the developing probability of future rural (Bishop, 1995; Duda, Hart and Stork, 2001). 3) In addition, this research used the partial concept of CA (Cellular Automata). That is, we first applied the concept of CA to analogize rural developing as the cell breeding, then the research areas were set as grids before conduct research processes of analyzing and simulating (Li X. and Yeh A. G., 2002; White R. and Engelen G., 2004).
Article structure : (To introduce the main methods of this experiment )
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2: 1)
GIS
(Dragicevic S., 2001; Lin, 2007)
2)ANN 2001) 3)
(Bishop, 1995; Duda, Hart and Stork, CA(
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CA
Experiment process :
1. GIS
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2. ANN 3.GA
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99 (Conclusion)
Conclusion : The results of the experiment reveal that the profile of rural developing in Hsiao-Jen community is obviously related to the distribution of Luns. And that means the positions of public spaces in Hsiao-Jen community are affected by environment context. The ANN probability model displays the appropriate and inappropriate rural developing regions that can reflect the aspect of environmental sustainability. This research not only presents the results of research area, but also provides one with assessing solution for rural planning. This solution provides more efficient way for rural planners and region development policies makers and respects the value of environmental sustainability. Article structure : (To establish that rural development is affected by environment context) +(To provide the new methods and device of rural planning)
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Reference
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(1)Hui-Jan Fan << A Study of the Spatial Distribution and Land Use Chang of Lun in Chang-Hua Areas >> (2)
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(3) (4) (5) (6) (7) (8) (9)Dragicevic, S., (2001). Space, time, and dynamics modeling in historical GIS databases: a fuzzy logic approach. Environment and Planning B: Planning and Design, vol. 28, pp. 545-562. (10)