经济快速发展地区土地利用结构信息熵变化及其动因分析——以昆山市为例

DYNAMIC CHANGE IN INFORMATION ENTROPY OF LAND USE COMPOSITION IN ECONOMICALLY DEVELOPED REGIONS AND ITS MOTIVATING FACTORS——A CASE STUDY OF KUNSHAN CITY

信息熵可以作为土地利用结构有序性的一种度量。在收集相关数据的基础上,对经济发达地区之一的昆山市土地利用结构信息熵变化进行了分析。自1994年以来,昆山市土地利用结构信息熵总体上呈逐渐上升趋势,即土地利用有序度逐渐降低。在空间上,城市及城郊类型区的土地利用结构信息熵最大,其次是中部工业用地类型区和北部旅游类型区,南部旅游类型区信息熵值最小;各个镇之间土地利用结构信息熵也具有明显差异。最后,对土地利用结构信息熵分异的动因进行了分析,结果发现:经济发展、人口增长、城市化、工业化和政治经济政策对土地利用结构信息熵的变化有显著影响,经济因素与土地利用结构信息熵具有最大的相关性,其后依次为人口因素、工业化程度和城市化水平。

Information entropy can be used as a measurement for orderliness of land use structure. Based on the data collected, change in information entropy of the land use structure in the city of Kunshan was analyzed. The information entropy of the land use structure in Kunshan has been rising in general since 1994, indicating decrease in orderliness of the land use system. In terms of space, land use structure differs from district to district in Kunshan: the information entropy of the land use structure in the City Proper and its suburbs is the highest, those in the industry region in the center and the tourist scenic region in the north follow and that in the tourist scenic region in the south is the lowest. The information entropy of land use structure varies significantly with the town. Motivating factors of the variation were also analyzed, and the following conclusions were reached: the information entropy of land use structure is obviously under the influence of economic development, population growth, urbanization, industrialization and economic policies. Economic factors are the most closely related to the information entropy of land use structure , then followed by population growth, industrialization and urbanization in a decreasing order.