Examining Commuting Patterns
Typically, 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.
Volume (Year): 48 (2011)
Issue (Month): 5 (April)
|Contact details of provider:|| Web page: http://www.gla.ac.uk/departments/urbanstudiesjournal|
When requesting a correction, please mention this item's handle: RePEc:sae:urbstu:v:48:y:2011:i:5:p:891-909. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SAGE Publishing)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.