从时空GIS视野来定量分析人类行为的思考

城市群体移动研究通常以网格为空间分析单元，其分析存在可塑性面积单元问题（modifiable area unit problem，MAUP），目前的研究缺乏对不同大小的网格面积单元所忽略的城市群体移动规律的定量分析结论。对城市空间进行有限的不同大小的等间距格网划分并对城市群体移动忽略部分进行分析，发现格网内群体移动量随格网大小线性递增，格网间的群体移动量随格网大小线性递减，并以提取城市重要位置的空间分布和属性特征的不一致为例，表明应对忽略的短距离移动予以重视，避免决策上的偏差。与此同时，不同格网划分大小情况下格网内的移动量在住宅用地、工业用地上被忽略程度较为严重，建议根据实际研究的目的采取不均匀划分空间格网方法，避免过多忽略群体移动。

Location-Based Services and GIS in Perspective

Spatial grid units are usually used for investigate urban human mobility. These units can easily lead to a modifiable area unit problem (MAUP) stemming from size variations between grid units. Current research on urban human mobility does not consider the MAUP or its influence on the quantitative analysis of human mobility. To address this problem, we used massive mobile phone tacking data to conduct a quantitative analysis of the effects of modifiable areal unit problem when dividing the urban space into different size of grid cell sand determined that intra-grid movements increase approximately at a linear pattern, and inter-grid human mobility decreases with grid sizes in a linear pattern and thus grid cell size affects spatial decisions about urban human mobility. Different sized grids deliver inconsistent results when extracting important locations from a human mobility network. When combined with the land use data, the grid cells containing residential and industrial land use types are the most affected. This paper discusses possible means to mitigate the uncertainty problems.