Ripples and undulations in the perceived supply–demand mismatch surfaces of London’s job market

Yao Shen and Michael Batty

Regional Studies, Regional Science, 2018, vol. 5, issue 1, 263-266

Abstract: In all cities there is a potential for a mismatch to occur between the demand for and supply of jobs. This mismatch is reflective of the balance struck between jobs and housing. This mismatch is non-uniformly perceived by different occupations. The present paper introduces a method to simulate and represent the mismatch surfaces in the perceptions of different social groups that can be compared through visualization using a standard balanced plane. The three-dimensional visualization of the results of the London metropolitan area demonstrates that the commuting advantages – higher levels of commuting affordability through various transport systems, and the configuration of the land-use system – lead to larger ‘flooded areas’ under the balanced plane ($S_i^m$Sim = 0) and a more scattered pattern of the job centres from the central city to suburban areas for people in higher managerial occupations. Evaluation of these surfaces further show the east–south and north–south divisions perceived by occupations.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/21681376.2018.1500936 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rsrsxx:v:5:y:2018:i:1:p:263-266

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rsrs20

DOI: 10.1080/21681376.2018.1500936

Access Statistics for this article

Regional Studies, Regional Science is currently edited by Alasdair Rae

More articles in Regional Studies, Regional Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().