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- W2186365387 abstract "The basic concept behind space syntax is that a built environment can be divided into interconnected individual spaces or spatial components. The network of spaces can then be analyzed through some measures such as connectivity, integration, choices in way-finding, etc. Through those spatial network analysis techniques defined by the space syntax methodology, one can infer the correlation between spatial layouts and social effects such as crime, traffic flow, sales per unit area, and so on. Theories of space syntax have stated that in a spatial network, components with higher degree of integration tend to correlate with fewer crimes, higher traffic flow, and higher sales per unit area. This paper follows the aforementioned theories and intends to explore the correlation between spatial integration and land value among components in an urban settlement. This paper assumes that in a spatial network highly integrated components have easier navigability that means better accessibility and probably higher traffic flow. In spaces zoned for commercial use, higher pedestrian traffic flow will usually bring more sales per unit area. When a space can produce more sales than other equivalent spaces, it is reasonable to assume that higher land price or rent can be sustained on the real estate market. Even in spaces not zoned for commercial uses, people normally view better accessibility as an asset and land value would reflect people's rational expectation. To prove the above hypothesis, this paper uses Taichung City, Taiwan, as the study area to perform the study in the following three steps. First, axial lines of the street network in the major urbanized area of Taichung City are identified and their integration values are calculated. Second, average public assessed land values and other relevant attributes, such as allowed floor area ratio, around midpoints of the axial lines are collected and mapped. Third, hedonic regression analyses are conducted using the average public assessed land value as the response variable and integration values as well as other relevant attributes as predictor variables. The result shows that in the entire major urbanized area encompassing a few heterogeneous neighborhoods, although the local integration is not the most effective predictor variable, it is still a significant one. In short, degree of integration is indeed a significant predictor variable in explaining land value variation in urban settlements." @default.
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- W2186365387 date "2009-01-01" @default.
- W2186365387 modified "2023-09-26" @default.
- W2186365387 title "An analysis of the relationship between spatial integration and land value in an Asian City" @default.
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