Tao, X, Fu, Z and Comber, AJ orcid.org/0000-0002-3652-7846 (2019) An Analysis of Modes of Commuting in Urban and Rural Areas. Applied Spatial Analysis and Policy, 12 (4). pp. 831-845. ISSN 1874-463X
Abstract
This study compares global and local analyses of non-car commuting modes and the probability of increasing modes use in different urban and rural areas for a case study in Yorkshire, UK, with commuter residence areas used as the response variable. The analyses compared Generalized Linear Models of commuting by bus, cycling and walking to estimate the probability of increasing sustainable modes use in commuters in urban areas, relative to rural areas. The three variables were found to be significant predictors for the models and indicate differential odds of commuting from urban areas relative to rural ones. An analysis of the non-stationarity of was undertaken using a Geographically Weighted Regression analysis, which showed how the probability of residing in a particular type of urban and rural area, as described by commuting patterns, varied spatially within the study region. The local analyses provide a critical information able to support and guide local policy in its ambition to increase sustainable transport modes and to reduce car dependence in both rural and urban areas.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, Springer Nature B.V. This is a post-peer-review, pre-copyedit version of an article published in Applied Spatial Analysis and Policy. The final authenticated version is available online at: https:// doi.org/10.1007/s12061-018-9271-9. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Commuting mode; Generalized linear model; Spatial variation; Geographically weighted regression |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Aug 2018 10:49 |
Last Modified: | 18 Nov 2019 09:30 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/s12061-018-9271-9 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:135121 |