| Summary: | 碩士 === 中華大學 === 建築與都市計畫學系 === 86 === The structure of life and leisure time are changing as a resutl of the urbanization of society and correspondingly, the demand for urban leisure space has shot up. As part of the urban park sysem, the neighbor park has attained an extremely important position as an everyday leisure spot. At the same time, the public is gradually placint stress on the relationship between parks and life. Growth and development in the areas of the economy and the population have intensified public demand for realty. Not only has the demand for quantity intensified, the demand for quality has also increased and this has influenced and produced fluctuations in realty prices. The major purpose of this study, therefore, is to investigate the impact of neighbor parks in urban areas on the realty prices of adjacent areas.
This study attempts to better ascertain the factors that influence realty prices through use of development backgrounds and the nearby economic characteristics of urban neighbor parks and pertinent realty theories. Surveys on the achitectural morphology and land prices of areas abjacent neighbor parks were also conducted. An analysis was then carried out using the information gathered from the surveys as to the external effect of urban neighbor parks on realty prices of the adjacent areas so as to determine the influence of the parks themselves on the realty prices of adjacent areas as opposed to the prices produced by architectural morphology and land.
The major objects of the architectural morphology study included the disposition of the abjacent morphology, the percentage of buildings adjacent parks that actually faced the parks, and the percentage of opened windows on the sides of buildinggs that facend the parks. Statistical cross analysis and chi-square tests were carried out using this information to determine how much the architectural morphology of abdjacent buildings is influenced by parks. Regarding land price analysis, on the one hand, we carried out oa comparative analysis between the market prices of the adjacent lands and current stated government values so as to determine the level of disparity between the two types of prices then using these disparity levels to determine the effect gap between different parks. On the other hand, we set up a model to test land prices adjacent parks and used the multiple regression analysis method to ascertain which factors had noteworthy impact on the land adjacent individual parks in the price model and the level of their impact. The forecast final results of this study are as follows.
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