Examining Commuting Patterns
AbstractTypically, the high level of aggregation in conventional analysis of urban commuting may obscure meaningful differences among groups of commuters. This paper disaggregates US census datasets, taking commutersâ€™ gender and occupation into consideration. Refined measuresâ€”jobs/workers ratio, average commuting distance and the number of in- and out-commutersâ€”are introduced through the disaggregate approach and are tested for gender differences. Using US Census Transport Planning Package (CTPP) data for Rochester, MN, this study shows the spatial structure of the labour market among 18 worker groups. The results bear important implications for regional labour market plans considering the spatial mismatch between jobs and housing.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Urban Studies Journal Limited in its journal Urban Studies.
Volume (Year): 48 (2011)
Issue (Month): 5 (April)
Contact details of provider:
Web page: http://www.gla.ac.uk/departments/urbanstudiesjournal
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Martin Carree & Kristin Kronenberg, 2012.
"Locational choices and the costs of distance: empirical evidence for Dutch graduates,"
ERSA conference papers
ersa12p243, European Regional Science Association.
- Carree, Martin & Kronenberg, Kristin, 2012. "Locational choices and the costs of distance: empirical evidence for Dutch graduates," MPRA Paper 36221, University Library of Munich, Germany.
- Morton O’Kelly & Michael Niedzielski & Justin Gleeson, 2012. "Spatial interaction models from Irish commuting data: variations in trip length by occupation and gender," Journal of Geographical Systems, Springer, vol. 14(4), pages 357-387, October.
- Yu Liu & Chaogui Kang & Song Gao & Yu Xiao & Yuan Tian, 2012. "Understanding intra-urban trip patterns from taxi trajectory data," Journal of Geographical Systems, Springer, vol. 14(4), pages 463-483, October.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SAGE Publications).
If references are entirely missing, you can add them using this form.