The aim of this study is to analyze the spatial effect of land value and the locational pattern of business within residential area in Changwon-city.
For this research, I have considered to solve out spatial autocorrelation's problem derived from spat...
The aim of this study is to analyze the spatial effect of land value and the locational pattern of business within residential area in Changwon-city.
For this research, I have considered to solve out spatial autocorrelation's problem derived from spatial cross-sectional data on the charateristics of land use and the type of development adjacent residential area.
In terms of accessibility variables affecting business location pattern and land price adjacent use area, unlike the existing studies employing variables using accessibility to CBD, sub-CBD, subway station, etc. this study suggests that the location pattern of bussiness and land value are influenced by the accessibility to CBD, sub-CBD. Moreover, In view of urban ecology, land value is much affected by the characteristics of land use and the type of development within residential area.
In terms of the problem of spatial dependence and heterogeneity derived from the spatial cross-sectional data, unlike the existing research, this study analyzed the spatial effect of land price, the distribution of land value and business locational pattern within residential area. For this locational pattern, I employed multinomial logit model one of the probabilistic choice model through statistic package(SAS 9.1). As used in this study, this model is applicable to analyze the nominal scale having no hierarchy or order of response variables. Moreover, I employed spatial econometrics model to solve out many bias to occur by spatial autocorrelation problem through GeoDa0.9.5(composed of GIS(Geographical Information System) and statistic anaiysis).
The major findings of analysis of the business location pattern considering accessibility to adjacent use area are as follows: First, the retail facilities are more likely to locate as having more nearness to general commerial area, quasi residential area, industrial area, and educational facility. Second, the food and recreation service is more likely to locate as having more nearness to central commercial area, distributable commercial area, quasi residential area, and industrial area . Third, It shows that the location of neighborhood convenience service is highly dependent on the nearness to the educational facility. Finally, the location pattern to denote business, manufacture, construction, etc. is more associated with the nearness to general commrcial area, quasi residential area.
The important results of the spatial effect of land price considering spatial autocorrelation and characteristics of use area are as follows: First of all, the land value is more likely to increase as having nearness to central commercial area, general residential area, educational facility and department store. In particular, the variable to denote the accessibility to central commercial area has a little influence on land value in accordance with the traditional OLS(ordinary least squares). but it mainly statistically works when using spatial error model(SEM) as main determinant factor. Second, it shows that the nearness to distributable commercial area and industrial area is lower than others. Particularly, the distance of distributable commercial area has important effect on SEM. Such an empirical analysis approves that SEM of the log likelihood, AIC, SC is more robust than the traditional OLS. Accordingly, this results verify that the estimated value of land price considering spatial effect is more corroborated than that of the existing analysis methods disregarding spatial effect.
From the results of this study, the location form of business within residential area is considerably different in accordance with its adjacent area and major facilities. Also, the results will be much helpful to policy makers and planners when establishing and designing the residential area or similar region. In addition, when planning the residential area, it will be certainly useful to consider the spatial dependeny and heterogeneity in case of using spatial autocorrelation.