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Title: Geographically Weighted Regression Approach to Investigate Spatial Variations in Activity Space
Accession Number: 01629867
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: This study examined individual activity space focusing on whether and how the effects of the built environment vary spatially across the study region. With the use of the 2012–2013 Northeast Ohio Regional Travel Survey data, a global regression model and a geographically weighted regression (GWR) model were estimated to analyze these effects after controlling for sociodemographics and travel time. The global results indicate that people living in areas characterized by high densities, a variety of jobs and populations, and high access and connectivity generally have smaller activity spaces. The GWR results report better fit than the global model and present spatial variations in the relationships between the six built environment variables and individuals’ activity spaces. Relevant transportation and land use policies, such as transit-oriented development and smart growth, may directly affect the built environment and therefore change individual access and sizes of activity spaces. The spatial variations suggest that the effects of these policies may vary. These findings are of great assistance to policy makers as they point out the target areas for effective policy interventions and infrastructure provisions.
Monograph Title: Social Economic, Sustainability, and Human Factors in Transit Monograph Accession #: 01643632
Report/Paper Numbers: 17-02263
Language: English
Authors: Chen, NaWang, Chih-HaoAkar, GulsahPagination: pp 40–50
Publication Date: 2017
ISBN: 9780309441575
Media Type: Digital/other
Features: Figures
(3)
; References
(44)
; Tables
(3)
TRT Terms: Uncontrolled Terms: Geographic Terms: Subject Areas: Planning and Forecasting; Public Transportation; Society
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 10:51AM
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