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Impact Factors Analysis and Risk Assessment of Illegal Land Use in the Stage of Post Urbanization of Shenzhen City
Pages: 10-16
Year: Issue:  8
Journal: China Land Science

Keyword:  land administrationillegal land useimpact factorsrisk assessmentpost urbanizationShenzhen City;
Abstract: Based on cognition of illegal land use, the purpose of this study is to analyze the main impact factors of illegal land use in the stage of post urbanization based on a positioning and quantitative framework, and then carry out illegal land use risk assessment in order to provide decision and technical support for the illegal land use early-warning system. Methods of spatial analysis and statistics approach of regression and simulation were employed. The results indicate that the significant impact factors of illegal land use ranked from great to small are as follows:slop, occupant of land, industrial land distribution, land type, ecological control area, main road distribution, and subway distribution. There was a negative correlation between slop and illegal land use, that is for each 10 degree increase in slop, the relative risk of illegal land use reduce to 54%from the original. The relative risk of illegal land use in the area occupied by villagers is 2.3 times than elsewhere. The closer the distance to the industrial land, the higher the risk of illegal land use is. In all land types, other land has the highest risk to be used illegally, which is 3 times higher than arable land. The high-risk areas of illegal land use mainly concentrated in Guangming New District, central of Bao’an District, east of Longgang District and north of Pingshan New District. This study confirms that the illegal land use is significantly restricted by land resource in the stage of post urbanization. In the environment of relatively complete infrastructure and high economic value of land, the natural and social attributes of land itself dominate the illegal land use. The high-risk area of illegal land use is roughly as same as the urban expending area. Spatial quantitative analysis approach based on GIS and statistics is an effective mean for the factors studies of illegal land use.
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