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Geospatial Analysis to Support Urban Planning in BeijingSpatially Heterogeneous Impact of Urban Form on Human Mobility: Evidence from Analysis of TAZ and Individual Scales in Beijing

Geospatial Analysis to Support Urban Planning in Beijing: Spatially Heterogeneous Impact of Urban... [The influence factors on human mobility (e.g. travel length/distance, time and count) are increasingly recognized as essential components of traffic assignment for urban sustainability. But most of the existing studies were based on individual samples, therefore neglected the spatial heterogeneity of mobility patterns. This study performs an examination of the spatially varying impacts of urban form and socioeconomic attributes on human mobility (average travel distance in this chapter) in the Beijing Area based on the Household Travel Survey in 2005. By using Mixed Geographically Weighted Regression (MGWR), we incorporate the spatial stationary and non-stationary in one model to estimate the influence surfaces of elements that maters in residential mobility on the Traffic Assignment Zone (TAZ) level. Compared with the results produced by Ordinary Least Square (OLS) and Spatial Auto-Regression (SAR), the outputs of MGWR indicate that semi-parametric model has better performance in presenting the spatial variation of predictive factors’ impacts. The maps further show that urban form features do impact people’s mobility to various extents, both positively and negatively. Additionally, this study also yields that the analysis on the TAZ level by MGWR reveals better prediction in the spatial variability of local estimates in comparison with OLS analysis for the personal level data in the same survey. This empirical effort helps us to understand that people’s mobility behaviors can be influenced by spatially exploring relevant variables of urban form.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Geospatial Analysis to Support Urban Planning in BeijingSpatially Heterogeneous Impact of Urban Form on Human Mobility: Evidence from Analysis of TAZ and Individual Scales in Beijing

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References (37)

Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2015
ISBN
978-3-319-19341-0
Pages
133 –153
DOI
10.1007/978-3-319-19342-7_7
Publisher site
See Chapter on Publisher Site

Abstract

[The influence factors on human mobility (e.g. travel length/distance, time and count) are increasingly recognized as essential components of traffic assignment for urban sustainability. But most of the existing studies were based on individual samples, therefore neglected the spatial heterogeneity of mobility patterns. This study performs an examination of the spatially varying impacts of urban form and socioeconomic attributes on human mobility (average travel distance in this chapter) in the Beijing Area based on the Household Travel Survey in 2005. By using Mixed Geographically Weighted Regression (MGWR), we incorporate the spatial stationary and non-stationary in one model to estimate the influence surfaces of elements that maters in residential mobility on the Traffic Assignment Zone (TAZ) level. Compared with the results produced by Ordinary Least Square (OLS) and Spatial Auto-Regression (SAR), the outputs of MGWR indicate that semi-parametric model has better performance in presenting the spatial variation of predictive factors’ impacts. The maps further show that urban form features do impact people’s mobility to various extents, both positively and negatively. Additionally, this study also yields that the analysis on the TAZ level by MGWR reveals better prediction in the spatial variability of local estimates in comparison with OLS analysis for the personal level data in the same survey. This empirical effort helps us to understand that people’s mobility behaviors can be influenced by spatially exploring relevant variables of urban form.]

Published: May 14, 2015

Keywords: Urban form; Human mobility; Urban modelling; Mixed geographically weighted regression; Spatial heterogeneity

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