Downtown decay has been in focus in Europe, America and Japan, but in Taiwan it is still at the elementary stage in relation to policy development. Therefore, the analysis of real competitive difference between downtown trading areas and suburban trading areas is inadequate In order to clarify the real competitive situation, this study investigated one thousand households from July 1 to September 30, 2003. Different characteristics of consumption behavior were studied with respect to gender, age, educational background, and salary. Additionally. Factor Analysis and Cluster Analysis were used to assess the importance to users of different aspects of the shopping experience, and thereby to measure the competition between downtown trading areas and suburban trading areas. This study shows that consumption behavior is affected by gender and age. Furthermore. Tainan's downtown areas are still competitive, ranking higher on the factors fashion, good guilty, good service, entertainment and leisure, and various diets. We are also able to group users by gender and age into shopping lovers, downtown lovers and downtown haters. This analysis provides the foundation for planning a marketing strategy.

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Due to the establishment of RsinChu Science Park, locating at HsinChu, there had happened two main external effects around HsinChu area, including external benefits such as increases of employment and stimulating local economy on one hand, and external cost incurred on the other hand. The purpose of this paper is to interpret the residence's environmental risk perception by ideology survey as well as to calculate such environmental risk value from Science Park by means of Hedonic price model. Therefore the empirical study of surveying on the residences of HsinChu City shows that the item whose environmental risk expected value is the highest one is "discharged waste water", which is in accordance with met-empirical perception Secondly, for the purpose of function type selection, with Box Cox Transformation, the optimal type of function of hedonic price model is under the situation whose μ=1、λ=0.8441 by Maximum Likelihood estimation Finally, attributes including age of dwelling, floor area, the room amounts, the living room amounts, and distance from Science Park have strong significance with housing price. The relationship between distance from Science Park and housing price is that 232.1 thousand dollars declines with one more kilometer distant from Science Park.

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  Knowledge has been seen as a central element of economic growth in knowledge-based economy era. It directly relies on the efficient acquiring, accumulating and using of knowledge and information, and emphasizes the involving of human resources who own the technological knowledge and specialization. Thus know ledge creation and the ability and efficiency of using knowledge become the supporting engine of industrial clustering and economic sustainability. In such a case, the specific industrial characteristics and firms' evolution result in the emergence of local industrial cluster which retains close spatailities. This phenomenon reveals that the cluster of traditional industries in the past did not necessarily stimulate innovation, even though cluster is a prerequisite for any innovation Recently, the related researches which focus on the proximity of firms and advanced institutes discuss that industrial cluster is positive to innovative activities of firms. According to this, we attempt to analyze whether the interaction between technological community and industrial clustering influence innovative activities. Also we examine the importance of networking linkage of technological community in industrial cluster, and provide a helpful dimension on industrial policy making.

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 The development of waterfront environment not only requires the considerations over the techniques for water conservancy and environmental projects, but also the performing of appropriate evaluation on its impacts in social, political and economic aspects. so that there can be references to base on for the alternative analysis upon policy making. Besides, given the waterfront environment being so changeable and so vulnerable to elements of uncertainty, the applying of eco-planning and fuzzy theory on the evaluation of policies for land development and management would make easier the seeking for reasonable effective strategy of sustainable development. This study primarily practices the eco-planning theories and the method of Fuzzy Multiple Criteria Evaluation (MCE) in building an evaluation system for the development potentiality of land use in the waterfront environment, with the study on analytical methods, hoping to tackle the problems confronted in the studies on the mechanism of the waterfront environment that is so complicated and changeable, while the information relating to waterfront ecology is rather ambiguous, or there is even a lack of relevant information The main reason for using the multiple criteria evaluation method is for solving the problems incurred during evaluation of multi-hierarchy and multi-attribute on environmental development, the combining of fuzzy theories will dispose the extent of uncertainty in comparison. After considerations are given to the fact that there does not exist independence among the evaluation criteria, and after the pros and cons of different alternatives are compared against the fuzzy differentials on the extent of satisfaction towards their performance, the results will lead to the decision on the feasible alternative for land use in waterfront. For this reason, this article will start with an introduction on relevant ideas regarding eco-planning and fuzzy MCE, and then use these ideas in establishing the evaluation system. Meanwhile, by the example of Hsin-Chu Bathing Beach as the embodiment of this study, the evaluated values of the development potentiality will then be calculated to measure the magnitude of the impacts and benefits that it may bring to the environment, so as to proceed with the analysis on decision making of development, for the purpose of providing reference on resource planning in the waterfront environment for the decision makers. The results of this study will lead to a priority ranking for the development of land use in the waterfront environment, which can then serve as appropriate suggestions for the development orientation of land use in the waterfront environment.

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