earticle

영어

The introduction of semi-agricultural zoning system in 1994 is regarded as one of the primary causes of promoting haphazard land uses at the urban fringe, which created negative externality(e.g., the water pollution due to the illegal discharge of waste material). Especially, the spatially clustered footloose locations of individual manufacturers aggravated the problems. For this reason, there is a general consensus about the need for institutionally collectivizing those individually established factories by designating semi- industrial complex. To make the policy efforts effective, it is helpful to monitor the clustering patterns over time to find out when and where to concentrate the limited public resources for policy actions before the problems worsen. The objective of this paper is to build a spatial statistical analysis framework for monitoring the haphazard land use tendency attributed to the clustering of footloose locations of manufacturing firms at the urban fringe. The analysis framework comprises of two processes. One is to apply Bernoulli model for estimating the degree of spatial clustering and the other is to join Shewart chart method to the spatial clustering measures to monitor how spatial clustering tendency had changed over time. The monitoring framework was applied to the City of Hwaseong, Gyeonggi-Province, Korea. It was discussed that the proposed framework made it possible for timely policy actions(e.g., the designation of semi- industrial complex) to be taken by identifying the time signaling alarms when the overall tendency of spatial clustering reaches some statistical thresholds and indicating any associated potential problems. Additionally, the factory locations contributed significantly to alarming the signal can be visually pinpointed, where the policy priority is to be put in allocating limited public resources.