Spatial differences of residential quarter floor area ratio:a case study of Dalian
Spatial differences of residential quarter floor area ratio:a case study of Dalian
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DOI：
10.18306/dlkxjz.2015.06.004
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发表时间：
2015-07
期刊：
影响因子：
--
通讯作者：
L. Xuemin
中科院分区：
文献类型：
--
作者：
L. Xuemin
Based on land use in the residential quarter and housing survey data and using residential quarter as the basic spatial unit, this study examines spatial differences of residential quarter floor area ratio using GIS technology and the Theil index model. It first calculates the residential quarter floor area ratio in GIS, then divides residential quarter floor area ratio into 7 classes and generates a spatial distribution map and a contour map in GIS. It then uses the Theil index to calculate the spatial differentiation index of residential quarter floor area ratio, and analyzes the causes. The results indicate that:(1) Spatial distribution of floor area ratio classes in the study area presents an overall fragmented pattern. Residential quarters with the same floor area ratio are clustered in small areas, and similar classes are interspersed.(2) Spatial difference index of residential quarter floor area ratio in Dalian is low. Maximal spatial difference index values are found in residential quarters with extremely low and high floor area ratios. The maximum and minimum spatial difference index values occurred in the Zhongshan and Ganjingzi Districts. Differences within each of the four districts are far greater than the regional differences between these districts and this is a remarkable characteristic of spatial difference index values of residential quarter floor area ratio in Dalian.(3) The main causes of the spatial differences of residential quarter floor area ratio in Dalian is the location of residential quarters in the city and housing attributes that determined the types of the housing; constraints imposed on residential quarter construction by the topography of the city; direction from residential land use planning standard for the city, and the effect of land price.
