Quantitative Analysis of the Effects of Spatial Scales on Intra-urban Human Mobility

LU Shiwei; FANG Zhixiang; SHAW Shihlung; ZHANG Xirui; YIN Ling

doi:10.13203/j.whugis20140524

Volume 41 Issue 9

Sep. 2016

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Geomatics and Information Science of Wuhan University > 2016 > 41(9): 1199-1204. > DOI: 10.13203/j.whugis20140524

LU Shiwei, FANG Zhixiang, SHAW Shihlung, ZHANG Xirui, YIN Ling. Quantitative Analysis of the Effects of Spatial Scales on Intra-urban Human Mobility[J]. Geomatics and Information Science of Wuhan University, 2016, 41(9): 1199-1204. DOI: 10.13203/j.whugis20140524

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Quantitative Analysis of the Effects of Spatial Scales on Intra-urban Human Mobility

1.
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2.
Department of Geography, University of Tennessee, Knoxville 37996-0925, USA
3.
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

Funds:

The National Natural Science Foundation of China 41231171

The National Natural Science Foundation of China 41371420

State Key Laboratory of Resources and Environmental Information System Open Funding Program 201303

Shenzhen Dedicated Funding of Strategic Emerging Industry Development Program JCYJ20121019111128765

the Fundamental Research Foundation of Shenzhen City JCYJ20140610151856728

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Corresponding author:
FANG Zhixiang, PhD, professor. E-mail: zxfang@whu.edu.cn
Received Date: July 12, 2014
Published Date: September 04, 2016

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Abstract

Abstract

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.
- human mobility,
- mobile phone tracking data,
- grid division,
- modifiable area unit problem

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