| Summary: | 碩士 === 國立成功大學 === 交通管理學系 === 89 === In order to improve the serious parking problem of all cities in Taiwan but not influence the driving safety on the road, establishing public off-road parking lots have been become one of the government’s major policy now. Since the parking lot is one kind of public facility, we have to consider its site selection problem which contain the characteristics of multi-criteria decision from the viewpoint of social welfare embracing principles of efficiency and equity. So we should choose a suitable location where they can satisfy with the certain area’s parking demand and meet the city’s development now or in the future.
On the other hand, the social environment we live is getting more and more complex. The development of the entire city area is also full of uncertain situation. In other words, we are usually under “fuzzy environment” when evaluating the off-road parking lot cases. At the same time, there are also a lot of subjective judgement during the decision process.
Based on these considerations, we develop a fuzzy multi-criteria decision making model to evaluate the off-road parking lot sites in the cities. Firstly, the study confers all site-related factors with experts, proprietors, and government officials. And take them into the influenced factor-collections. Secondly, we make use of Fuzzy Delphi method to determine the criteria which can mainly affects the off-road parking lot site selection. Thirdly, assess the weights for the criteria by applying to Fuzzy Analytic Hierarchy Process method that can gets better results than other traditional methods. Last, we use Fuzzy Synthetic Decision to evaluate the three feasible off-road parking lot site alternatives in Tainan City and then suggest the best site to the decision maker.
It is hoped that the outcome of study will not only help the policy-making agency to make decision under uncertain condition by applying the fuzzy theory but also provide the agency a reference to the evaluation of the off-road parking lots in the city.
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