A Study of the Evaluation Model for Sustainable Community Industrial Development Using Dynamic Programming Method

نویسنده

  • Kuei-Yang Wu
چکیده

Nowadays, towns and villages usually try to get funds for community constructions by following empirical rules. It is not possible to predict the effectiveness. And in the previous researches related to community development, there is no decision support model built using mathematical planning for fund allocation. This study obtains index weights for community industrial development by applying FAHP and develops a supporting system through dynamic programming models and results from the interviews with experts, combining hierarchy structure of community industrial development. “The Golden Town” in Gongguan Township, Miaoli County is chosen for empirical analysis. The result of dynamic programming analysis shows that the best decision is to first create sense of community and develop proper local environmental and spatial characteristics. Then the structure of resources for community development should be constructed to further form the key value of community industrial development. After that, local natural environment, humanities resources, and industrial cultures should be integrated to concretely create sense of community and construct the concept of “life community”. Key-Words: FAHP, Dynamic programming, Community industrial development, Sustainable development.

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تاریخ انتشار 2011